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<h1>Senior ML Engineer</h1> Analytics &amp; Data Science | Remote, Americas | Remote, Remote | Full-Time <a href="https://globalcareers-atlassian.icims.com/jobs/16395/senior-ml-engineer/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. As a Senior Machine Learning Engineer, you will drive work on the development and implementation of the cutting edge machine learning algorithms, collaborating with business, engineering, and analytics teams. You will be tasked to build scalable, reliable and highly performant forecasting algorithms including deep learning based models to forecast company top-line metrics in a granular way. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures and model evaluations, and providing guidance to emerging junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI/ML's transformative potential is realized across our offerings. <h3>On the first day, we'll expect you to have</h3> <ul> <li>Master or PhD in a quantitative subject (Statistics, Mathematics, Operations Research, or relevant work experience)</li> <li>5 years of related industry experience in the forecasting and machine learning domain</li> <li>Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li> <li>Experience designing, building and scaling forecasting and machine learning models in business applications using large amounts of data</li> <li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li> <li>Collaborate with a team of experienced scientists to design, implement, and evaluate innovative models, agents, and softwares</li> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li> </ul> <h3>It's great, but not required, if you have</h3> <ul> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Experience in developing large scaled forecasting systems and deep learning-based models</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $175,100 - $233,400 Zone B: $157,500 - $210,100 Zone C: $145,300 - $193,700 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://globalcareers-atlassian.icims.com/jobs/16395/senior-ml-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Principal Data Scientist - Machine Learning Engineering

<h1>Principle Data Scientist - Experimentation</h1> <a href="https://careers-americas.icims.com/jobs/15903/principle-data-scientist---experimentation/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is looking for a Principal Data Scientist to join our Experimentation Data Science team. The Experimentation Data Science team partners with the experimentation engineering team to help unlock Atlassian’s experimentation capabilities. We help teams experiment successfully by delivering training, tools, and analyses to go from idea to decision as quickly as possible. This is a unique opportunity to work in a collaborative environment to create a culture of experimentation and tackle challenging and distinctive problems. <h2>Your future team</h2> The Experimentation Data Science team sits within the in the Atlassian Corporate Engineering Organization. The team is tasked with pursuing opportunities to increase the velocity and value of experiments in Atlassian. We work cross-functionally with stakeholders in GTM, growth, product, data engineering, and analytics platform teams. We providing experimentation expertise and hands-on support for experimenting at scale. The teams we work with are split geographically between the US and Australia. We are highly nimble, with a focus on velocity between theory and practice, and laser-focused on business impact. <h2>What you’ll do</h2> As a Principle Experimentation Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale. Additionally, you will lead the organization to develop and adopt novel ways (sprt, stratified random sampling, etc.,) to increase the speed of the experimentation lifecycle. <h2>Your background</h2> <h3>On the first day, we'll expect you to have</h3> <ul> <li>Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)</li> <li>5+ years of related industry experience in the data science and experimentation domain</li> <li>Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization</li> <li>Experience with causal inference, multi-arm bandits. reinforcement learning, synthetic data and experimentation, non-parametric methods</li> <li>Expertise in SQL, familiarity with Python, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li> <li>Ability to communicate and explain data science and experimentation concepts to diverse audiences, craft a compelling story</li> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li> </ul> <h3>It's great, but not required, if you have</h3> <ul> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Familiarity working with go-to-market (GTM), buyer experience and Growth teams (in addition to Product and Engineering)</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li> </ul> Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/15903/principle-data-scientist---experimentation/job?mode=apply" target="_blank">Apply for this job</a>

Principle Data Scientist - Experimentation

<h1>Principal Data Analyst - Financial Forecasting</h1> <a href="https://careers-americas.icims.com/jobs/16481/principal-data-analyst---financial-forecasting/job?mode=apply" target="_blank">Apply for this job</a> Atlassian is looking for a passionate data and analytics expert who will power-up our teams to derive even more meaningful financial insights from data. Is that you? You love working a job that can drive real changes with data. You are not fazed by the complexity and volume of data nor the dynamic sources and platforms where these datasets may reside, and understand the value this data provides when we make critical business decisions. You thrive in an environment where you are charting your own course and working on problems for which there is no clear solution; where creativity is as crucial as your ability to write code. You are someone who thrives in a high-performing team and enjoys working in a dynamic environment with plenty of opportunities to learn and develop. With strong partner engagement skills, you are able to juggle competing priorities and deliver on deadlines. You will become the Principal Business Analyst on the team who not only understands the financial data at Atlassian but also knows how to use it to make that data actionable. You will be supporting theFinancial Planning &amp; Analytics team, as well as partnering with the Financial Modelling (Anaplan) and Data Engineering teams to enhance FP&amp;A’s financial data infrastructure, reporting and analytics. You will work closely with FP&amp;A teams to understand data and analytics needs. You will analyze and validate data from various source systems or enterprise data warehouse to prototype new data and reporting solutions. You love thinking about how Finance can benefit from this data, and you will have access to an analytics platform (built on Amazon Web Services) to create new data assets, automate analyses and reporting, and create insightful visualization, in close collaboration with data engineers. <h2>Qualifications</h2> On your first day, we’ll expect you to have: <ul> <li>8+ years of experience in complex data analytics or relevant experience using data to drive insights at industry-leading or fast-growing companies</li> <li>Expertise in SQL, Tableau, Excel, and other analytics tools</li> <li>Ability to adapt quickly and effectively to changing environments and initiatives</li> <li>An excellent communicator and passionate to collaborate with global, multi-functional teams</li> <li>A willingness to accept failure, learn and try again</li> </ul> It’s preferred, but not required that you have: <ul> <li>A degree in Business, Statistics, Finance, Engineering, or a related analytical field</li> <li>Technology or Software / SaaS industry experience</li> <li>Experience using Databricks, Python, and dbt</li> <li>Experience with ETL, Data Warehousing</li> <li>Familiarity with Statistics and different forecasting methodologies</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $149,000 - $198,700 Zone B: $134,100 - $178,800 Zone C: $123,700 - $164,900 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16481/principal-data-analyst---financial-forecasting/job?mode=apply" target="_blank">Apply for this job</a>

Principal Data Analyst - Financial Forecasting

<h1>About One</h1>One’s mission is simple - to help customers achieve financial progress. We’re doing this by creating simple solutions to help our customers save, spend, borrow, and grow their money – all in one place. The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances. What makes us unique? We are backed by a preeminent fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the speed and independence of a startup, and employ a strong (and growing) collection of world-class talent. There’s never been a better moment to build a business that helps people achieve financial progress. Come build with us!<h1>The role</h1>As a member of the Product Analytics team, your mandate is to work closely with teams and leads across the business to shape the acquisition, growth, and optimization strategies that will drive bottom-line impact for the Core Banking business. Sitting at the intersection of Product, Finance, Marketing, and Engineering, you will work cross-functionally to define the problem at-hand, create a framework to break it down, leverage data to enable optimal decision-making and extend proposals that advance both the business and the Core Banking product. To be successful, you’ll need a passion for solving complex problems inherent to working in the fintech industry, have an eager-mentality to accelerate our robust customer growth, and take an owner-like mentality in managing our foremost business performance metrics. This role will impact One’s vision by further extending the growth of our flagship product, fostering a bridge between the Banking product and our other rapidly expanding product offerings, and effectively managing the foremost business performance metrics to kickstart more customers on their financial journeys!<h2>This role is responsible for: </h2><ul> <li>Performing detailed product usage and business performance analyses to derive data insights that lead to actionable business solutions. </li> <li>Intertwining analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line </li> <li>Building and testing new concepts from the ground-up in order to improve the top business KPIs critical to the Banking business and drive product growth</li> <li>Designing, executing, and analyzing A/B tests to measure impact of changes with a focus on iteration to perfection.</li> <li>Sharing business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.</li> <li>Thinking through 2nd order impacts of their analysis and explaining the impacts to different business areas.</li> </ul><h1>You bring</h1><ul> <li>5-10 years of professional experience in analytics with a proven track record of leveraging quantitative analyses to impact key product decisions </li> <li>Ability to build from the ground-up and a strong analytical aptitude to quickly convert whitespace complex business processes into understandable and easy-to-manage analysis and decision points.</li> <li>Experience working in an analytical scripting language (SQL, Python) with concrete understanding of common statistical methods and applications such as experimentation, regression, and probabilities.</li> <li>Strong written and verbal skills - inclusive of the ability to distill technical subjects for non-technical audiences and effectively communicate findings to stakeholders and executive leadership.</li> <li>The capacity to work both independently and collaboratively with members across the business to surface new insights that will fuel the product roadmap.</li> <li>Curiosity and desire to figure out the key insights even in an uncertain environment.</li> <li>The Triple H Factor: Humble, Hungry and Honest</li> <li> An act-like-an-owner mentality: decisive, collaborative, and ruthlessly prioritize </li> </ul><h1>Pay Transparency</h1>The estimated annual base salary for this position ranges from $150,000 to $175,000. Pay is generally based upon the level, complexity, responsibility, and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits.<h1>What it’s like working @ One</h1><ul> <li>Competitive cash</li> <li>Benefits effective on day one </li> <li>Early access to a high potential, high growth fintech</li> <li>Generous stock option packages in an early-stage startup</li> <li>Remote friendly (anywhere in the US) and office friendly - you pick the schedule</li> <li>Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave</li> <li>401(k) plan with match</li> </ul> We use Covey as part of our hiring process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using <a href="https://getcovey.com/product/covey-scout-inbound" target="_blank">Covey Scout for Inbound</a> on May 31, 2024.Please see the independent bias audit report covering our use of Covey <a href="https://getcovey.com/nyc-local-law-144" target="_blank">here</a>.<h1>Leveling Philosophy</h1>In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at One. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within One.<h1>Inclusion &amp; Belonging</h1>To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at <a href="mailto:talent@one.app" target="_blank">talent@one.app</a>.

Product Analytics

Senior Financial Data Engineer - Costa Rica, Argentina, Mexico, Brazil. This position offers you the opportunity to join a fast-growing technology organization that is redefining productivity paradigms in the software engineering industry. Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people. If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you. If you want to accelerate your career working with like-minded subject matter experts, solving interesting problems and building the products of tomorrow, this opportunity is for you. The impact you'll make: You'll join the Predictive Analytics Organization Unit, which builds products in the Quantitative Credit Risk Assessment space, helps Financial Institutions like Banks, Insurance and Asset Management companies to make better decisions. The first phase of this project is related to selecting a provider among a list of candidates based on the creation of different PoCs that create ETLs for Market Capital data, process the data and generate the visualization dashboards. Second phase is related to the integration of the selected provider to current platform. Technology Stack: Clover ETL PostgreSQL Functions Data Analysis / Dashboard Creation SQL What you'll bring to us: <ul> <li>Bachelor’s or master’s degree in computer science, engineering, or a related field or equivalent experience</li> <li>8+ years of experience in Data Engineering roles.</li> <li>Background in Financial and Market Capital data domains is highly desired.</li> <li>Experience in Clover ETL or similar ETL tool is a must have.</li> <li>Strong SQL Coding skills are required.</li> <li>Experience in Data Analysis &amp; Dashboard Creation are valued. </li> <li>Excellent English communication skills.</li> </ul> Some of the benefits you’ll enjoy working with us: <ul> <li>The chance to work in innovative projects with leading brands, that use the latest technologies that fuel transformation.</li> <li>The opportunity to be part of an amazing, multicultural community of tech experts.</li> <li>The opportunity to grow and develop your career with the company. </li> <li> A flexible and remote working environment. </li> </ul> Come and join our #ParserCommunity. Follow us on <a href="https://www.linkedin.com/company/parser/" target="_blank">Linkedin</a>

Parser

Senior Financial Data Engineer

Job Description:A Director of Product Management is responsible for interfacing and partnering with cross-functional teams - such as engineering, sales, and marketing. They are the owner of the product vision, strategy, and roadmap. This role plays a strategically critical role in the development, management, and strategy of data products, including AI innovations, impacting user adoption, engagement and overall success of the product by connecting users to the product value.The successful candidate will be naturally cross-functional and detail oriented, as this will play a pivotal role in ensuring alignment between product development, data science team, enterprise customer, product management, and business stakeholders. As a leader in this space, you will oversee the planning, execution, and delivery of data services, managing identity and access management (IAM) to manage and scale workload and access securely supporting our platform agility and innovation on Skills platform.Who you’re committed to being:<ul> <li>You enjoy learning and are open to new ways of doing things!</li> <li>You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns!</li> <li>When communicating you are self-aware, insightful, and proactive.</li> </ul>What you’ll do:<ul> <li>Improving product delivery by developing operations, processes, frameworks, and resources that can be scaled across organizational boundaries</li> <li>Partnering with leaders to establish milestones that balance the development of new product capabilities with security, operational, and/or regulatory risks; influencing end-state architecture and driving secure, resilient, performant and scalable technology solutions</li> <li>Influencing senior leaders and executives to gain alignment, secure resources, and overcome obstacles</li> <li>Creating vision and strategy for product vertical with your product leaders</li> <li>Prioritizing and setting the outcomes with your teams based on the company strategy</li> <li>Own the long term roadmap with cross-functional collaboration with engineering, design, compliance, support, and legal to drive IAM and data initiatives</li> <li>Establish and monitor KPIs, implementing improvements based on user feedback, and staying current with industry trends and best practices</li> <li>Formulate and execute to metrics that contribute to business outcome for our customers and business</li> </ul>Experience you’ll bring:<ul> <li>2-5+ years of management experience leading other product managers</li> <li>5+ years of end-to-end SaaS product delivery experience</li> <li>Experience with cloud-based IAM solutions with familiarity with relevant standards and protocols (eg OAuth, SAML, OIDC)</li> <li>Robust understanding of artificial intelligence, machine learning, and related technologies</li> <li>Proven experience working with ambiguity and being able to build strategic direction and roadmap</li> </ul>Requirements:<ul> <li>Direct experience in product management or related experience shipping products to market in SaaS environment</li> <li>Experience managing or leading a team of Product Managers or equivalents for SaaS products, with a preference for a servant leadership attitude</li> <li>Strong leadership, decision-making, and collaboration skills, with the ability to lead multiple complex projects simultaneously</li> <li>Ability to strategize product direction with inputs like competitive analysis, VoC, business reviews and business goals</li> <li>Experience leading engineering discussion around technology decisions and strategy related to a product</li> <li>Demonstrated ability to develop, execute, and own product roadmap strategy and definition</li> <li>Ability to influence stakeholders to align around prioritization decisions</li> <li>Strong understanding of IAM concepts, including SSO, MFA, RBAC and identity governance</li> <li>Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree</li> <li>MBA preferred; BS or BA degree focus in computer science, math, or other related STEM majors</li> </ul>Travel Requirements:While Pluralsight operates under a remote and hybrid work model, we believe that in-person connection and collaboration are important. Recurring travel to our HQ in Utah may be required depending on the role and team member location.Why you’ll love working here:<ul> <li>We’re remote- and hybrid-friendly</li> <li>We’re mission driven and guided by our culture pillars</li> <li>We have a strong commitment to diversity and belonging</li> <li>We cultivate a culture of trust, autonomy, and collaboration</li> <li>We’re lifelong learners and champion team member growth and advancement</li> <li>We’ve got you covered - team member benefits include competitive compensation packages, medical coverage, unlimited PTO and Summer Fridays, wellness reimbursements, Pluralsight subscription, professional development funds and more.</li> </ul>About us:We’re Pluralsight, the technology workforce development company that helps teams build better by knowing more and working better together. Using our Skills, Flow, and Cloud products, teams can develop critical skills, improve processes and gain data-driven insights.Learning and development are at the core of who we are. We’re out to help every technologist build better, and we’re looking for curious, talented people to help us inspire and empower the tech workforce to achieve their goals. Our culture of autonomy, continuous learning, and collaboration creates an environment for growth and empowers us to drive impact through innovation.Physical and Mental Requirements:Work is performed in an office (or home office) environment and requires the ability to operate office equipment and keyboards. Sedentary work. Repetitive work. Ability to perform tasks related to documentation, data analysis, transcription and extensive content analysis. Learn new tasks, remember processes, complete tasks independently, and make timely decisions in the context of a workflow.EEOC StatementBring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please visit the <a href="https://www.pluralsight.com/careers" target="_blank">bottom of our website</a> to learn how to request an accommodation.For more information on Pluralsight’s commitment to building a more diverse and inclusive workforce, please review our most recent Diversity, Equity, Inclusion and Belonging report <a href="https://www.pluralsight.com/about/diversity-and-belonging" target="_blank">here</a>.The annual US base salary range for this role is $156,000 - $192,600 USD. Pluralsight's pay ranges vary based on work location. Talent Acquisition can share more detail during the hiring process when applicable. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. In addition to the base salary, this role may also be eligible for benefits and bonuses.Applications must be submitted within 90 days after the initial posting date to be considered. #LI-JM2

Pluralsight

Director of Product, AI and Data

Tulsa Community College

Business Intelligence Analyst II

<h1>Principal Business and Data Analyst</h1> Support | Seattle, United States | Remote, Remote | San Francisco, United States | Full-Time <a href="https://careers-americas.icims.com/jobs/15133/principal-business-and-data-analyst/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Being part of our support organization, you are the customer champion, a trusted partner to Product &amp; Engineering teams, scaling our business by making our Enterprise Customers more successful. You will be key in our company strategic transformation towards Enterprise Cloud. By using your strong business, analytical and data skills, you will identify opportunities to improve our Enterprise Customer’s experience after they migrate to our cloud, based on data and insights from support, and will influence product roadmap, culminating in accelerated growth while keeping our margins (support costs). You're part data analyst, part product manager, and part program manager. You're strategic and also relationship- and data-driven. <ul> <li>Influence product roadmap by identifying, articulating the business impact and proposing possible solutions to the most impacting friction to our customers, after they migrate to our cloud</li> <li>By manipulating data from our customers' interactions with support, extract insights, prepare and deliver regular reporting that uncover improvements opportunities in customer experience, business growth and support efficiency</li> <li>Deliver high-quality deep-dive analysis into opportunities and friction areas happening post-migration and corresponding business cases</li> <li>Partner with Engineering and Product Leaders to design processes and solutions to solve complex support challenges and to implement product improvements that prevent customer friction</li> <li>Identify and remedy Product specific supportability gaps</li> <li>Tell stories through data that resonate with executive leadership</li> <li>Build relationship and rapport to become a trusted advisor to senior partners (Heads of Support, Analytics, Product, and Engineering)</li> <li>Lead projects independently</li> </ul> You will report to the Group Manager, Support Enablement, CSS. <ul> <li>10+ years of relevant experience with a proven ability as an principal data analyst in software development, service delivery, or customer support</li> <li>You have in-depth business understanding and the ability to map business challenges to data</li> <li>Experience with SQL and visualization tools (for example: Tableau, Power BI)</li> <li>Strong written, verbal communication, and presentation skills to senior audience</li> <li>Proven track record of developing longer-term strategies and using data to influence product roadmap</li> <li>Extensive experience working with Product Managers and Software Developers</li> <li>Solid experience Influencing senior partners (directors, heads of ) to enact change</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $192,000 - $256,000 Zone B: $172,800 - $230,400 Zone C: $159,300 - $212,400 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/15133/principal-business-and-data-analyst/job?mode=apply" target="_blank">Apply for this job</a>

Principal Product Data Analyst - Enterprise Cloud Post-Migration

<h1>Sr. Data Engineer</h1> <a href="https://careers-apac-atlassian.icims.com/jobs/16277/sr.-data-engineer/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. <h3>Working at Atlassian</h3> This section is standardized across all Atlassian roles. Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. <h3>Your future team</h3> You will be part of a world-class Data Engineering team, where you will: <ul> <li>influence product teams</li> <li>inform Data Science and Analytics Platform teams</li> <li>partner closely with data consumers and producers to ensure quality and usefulness of data assets</li> </ul> You will be involved in strategizing measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy. <h3>In this role, you will:</h3> Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including: <ul> <li>Defining metrics</li> <li>Instrumenting logging</li> <li>Acquiring/ingesting data</li> <li>Architecting &amp; modeling data</li> <li>Transforming data</li> <li>Ensuring data quality, governance, and enablement</li> <li>Alerting, visualization, and reporting</li> <li>Working autonomously and adding perspective to the team</li> <li>Developing at scale and improving efficiency</li> <li>Embodying the goals of the business and team</li> <li>Leading projects</li> </ul> <h3>Minimum Qualifications / Your background:</h3> <ul> <li>Bachelor’s / Masters degree (or equivalent work experience) in a STEM field.</li> <li>6+ Years of Experience in Data Engineering or related fields.</li> <li>Expertise in Python or other modern programming language development experience.</li> <li>Knowledge of advanced level capabilities in SQL and relational databases experience.</li> <li>Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding.</li> <li>Experience with data processing performance tuning and optimization.</li> <li>Understanding of the role of experimentation in product development.</li> <li>Familiarity with Anomaly detection solutions.</li> <li>Experience with logging specifications and processing.</li> <li>Experience working with product analytics.</li> <li>Experience with SaaS/Enterprise business models.</li> <li>Experience executing projects or programs which have had proven impact on business strategy and performance.</li> </ul> <h3>Additional / Desirable Qualifications:</h3> <ul> <li>7+ Years of Experience in Data Engineering or related fields OR 5+ Years of experience in Data Engineering along with a post-graduate degree or equivalent in a related field</li> <li>An understanding of the SaaS business model and data structures</li> <li>Experience in Enterprise Software product development</li> </ul> <h3>Compensation</h3> At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. #LI-Remote <h3>Our perks &amp; benefits</h3> This section is standardized across all Atlassian roles. Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. <h3>About Atlassian</h3> This section is standardized across all Atlassian roles. At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-apac-atlassian.icims.com/jobs/16277/sr.-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Sr. Data Engineer

<h1>Principle Data Engineer</h1> <a href="https://careers-americas.icims.com/jobs/16229/principle-data-engineer/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Our Data Engineering Team is comprised of data experts. We build world-class data solutions and applications that power crucial business decisions throughout the organisation. We manage multiple analytical data models and pipelines across Atlassian, covering finance, growth, product analysis, customer analysis, sales and marketing, and so on. We maintain Atlassian's data lake that provide a unified way of analysing our customers, our products, our operations, and the interactions among them. We're hiring a Data Engineer, reporting to the Data Engineering Manager. Here, you'll enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and help build Atlassian's data-driven culture. You love thinking about the ways the business can consume data and then figuring out how to build it. Minimum Qualifications / Your background: <ul> <li>BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role</li> <li>10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.</li> <li>Proficiency in Python, SQL, DBT, and data platforms like DataBricks</li> <li>Proficiency in relational databases and query authoring (SQL).</li> <li>Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.</li> <li>Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization</li> <li>Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.</li> <li>Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).</li> <li>Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.</li> <li>Well versed in modern software development practices (Agile, TDD, CICD)</li> </ul> Desirable Qualifications <ul> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Familiarity working with Core engineering datasets like Monitoring, Observability, Performance, Reliability, etc..</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $203,300 - $271,100 Zone B: $183,000 - $244,000 Zone C: $168,700 - $225,000 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16229/principle-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

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