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Thermo Fisher Scientific

Director, Sales, Pharma Analytics, Global

Financial Analyst III, Business Intelligence and Analytics

<h1>Principal Data Scientist</h1> <a href="https://careers-americas.icims.com/jobs/15764/principal-data-scientist/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. In this role, you will: <ul> <li>Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work.</li> <li>Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.</li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.</li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.</li> <li>You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.</li> <li>You will use storytelling techniques to communicate insights broadly, including to company leadership teams.</li> </ul> Minimum Qualifications / Your background: <ul> <li>8+ Years of Experience in Data Science or related fields</li> <li>Proficiency in SQL AND another data manipulation programming language (e.g Python, R)</li> <li>Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)</li> <li>Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand</li> <li>Experience driving projects or programs that have had a proven impact on business strategy and performance through your analytics skills</li> <li>A proven track record for crafting analysis into well-written and persuasive content</li> <li>Experience advising, presenting to and serving as a thought partner to senior executives</li> </ul> Desirable Qualifications <ul> <li>10+ Years of Experience in Data Science or related fields</li> <li>An understanding of the SaaS business model and key metrics</li> <li>Experience in developing insights for Chat, Search or LLM-based products</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: $201,300 - $268,400 Zone B: $181,200 - $241,600 Zone C: $167,100 - $222,800 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/15764/principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Principal Data Scientist

<h1>Who we are</h1> <h2 id="about-stripe">About Stripe </h2> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h2 id="about-the-teams-multiple-roles-available">About the teams (multiple roles available)</h2> Growth Data Science The Growth Data Science team helps businesses accelerate their journey to accept payments on Stripe, and find the financial products they need to grow their business. We achieve our goals through experimentation, forecasting, attribution modeling, personalization and algorithmic recommendations. We partner with Marketing, Sales and Self-Serve Product teams to develop intelligent data products and insights, and create go-to-market strategies to drive product discovery, adoption and retention. Developer Experience and Platform Product (DEeP) Data Science DEeP is a central infrastructure team that builds platforms that enable teams across Stripe to offer a better user experience. The DEeP Data Science team provides data, metrics and insights to improve key features of the Stripe user experience including the Stripe Dashboard, developer tools, API policies, Stripe Apps, and more. DEeP DS works closely with other functions to build scalable data solutions, inform strategy, provide observability, and run experiments. <h1>What you’ll do</h1> Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. <h2 id="responsibilities">Responsibilities</h2> <ul> <li>Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven. </li> <li>Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. </li> <li>Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe </li> <li>Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. </li> <li>Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team </li> <li>Contribute to broad data science initiatives as a member of Stripe’s data science management team. </li> </ul> <h1>Who you are</h1> We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h2 id="minimum-requirements">Minimum requirements</h2> <ul> <li>You have at least 3 years of direct management experience leading data science and ML teams, and 10 years of overall data science experience. </li> <li>You have demonstrated expertise in designing metrics and guiding business decisions with data. </li> <li>You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions. </li> <li>You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. </li> <li>You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. </li> <li>You have clear and persuasive communication skills in writing and verbally. </li> <li>You thrive on a high level of autonomy and responsibility. </li> <li>You foster a healthy, inclusive, challenging, and supportive work environment. </li> </ul> <h2 id="preferred-qualifications">Preferred qualifications</h2> <ul> <li>A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering). </li> <li>You are comfortable working with geographically distributed teams </li> <li>Expertise in time series forecasting, predictive modeling, or optimization </li> <li>Expertise in data design and building scalable data architectures </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $207,800 - $311,600. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Chicago, Toronto, New York, or Seattle Remote locations Remote in United States Team Data &amp; Data Science Job type Full time <a href="#">Apply for this role </a>

Stripe

Data Science Manager

Biostatistician II

Airtable

Field Innovation Leader, AI

<h1>Senior Data Engineer</h1> <a href="https://careers-americas.icims.com/jobs/17193/senior-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. Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data Engineering (GTM-DE) team which is responsible for building our data lake, maintaining our big data pipelines / services and facilitating the movement of billions of messages each day. We work directly with the business stakeholders and plenty of platform and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building services that scale. On a typical day you will help our stakeholder teams ingest data faster into our data lake, you’ll find ways to make our data pipelines more efficient, or even come up ideas to help instigate self-serve data engineering within the company. Then you will move on to building micro-services, architecting, designing, and enabling self serve capabilities at scale to help Atlassian grow. We are a team with little legacy in our tech stack and as a result you’ll spend less time paying off technical debt and more time identifying ways to make our data usable and improve our users experience. As a Senior Data Engineer in the GTM-DE team, you will have the opportunity to apply your strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake. You enjoy working in a fast paced environment and you are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases. On your first day, we'll expect you to have: <ul> <li>A BS in Computer Science or equivalent experience</li> <li>At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer</li> <li>Strong programming skills (Python, Java or Scala preferred)</li> <li>Experience writing SQL, structuring data, and data storage practices</li> <li>Experience with data modeling</li> <li>Knowledge of data warehousing concepts</li> <li>Experience building data pipelines, platforms, micro services, and REST APIs</li> <li>Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data</li> <li>Experience in modern software development practices (Agile, TDD, CICD)</li> <li>Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies.</li> <li>A willingness to accept failure, learn and try again</li> <li>An open mind to try solutions that may seem crazy at first</li> <li>Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)</li> </ul> It's preferred, but not technically required, that you have: <ul> <li>Experience building self-service tooling and platforms</li> <li>Built and designed Kappa architecture platforms</li> <li>Built pipelines using Databricks and well versed with their API’s</li> <li>Contributed to open source projects </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: $163,400 - $217,800 Zone B: $147,000 - $196,000 Zone C: $135,600 - $180,800 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/17193/senior-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Senior Data Engineer

At Coinbase, our mission is to<a href="https://blog.coinbase.com/our-mission-strategy-and-culture-18a92a3bb0fa" target="_blank"> increase economic freedom around the world</a>, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a<a href="https://blog.coinbase.com/culture-at-coinbase-f0e1c2a99aff" target="_blank"> culture</a> like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our<a href="https://blog.coinbase.com/coinbase-is-a-mission-focused-company-af882df8804" target="_blank"> mission-focused approach</a> to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Ready to #LiveCrypto? Who you are: <ul> <li>You’ve got positive energy. You’re optimistic about the future and determined to get there. </li> <li>You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. </li> <li>You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.</li> <li>You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.</li> <li>You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.</li> <li>You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. </li> </ul> Data Science is a pivotal element of our operational strategy at Coinbase, influencing product, engineering, and decision-making processes. This role is integral to our senior leadership, investor relations, and peer teams– you will tackle complex, ambiguous questions that influence insights generation and decision making at the highest levels. What You'll Be Doing: <ul> <li>Engage with senior leadership to provide analytics and insights on business performance, competitive analysis and metric trends.</li> <li>Conduct exploratory data analysis (EDA) to uncover insights that explain business drivers and drive strategic decisions.</li> <li>Prepare and present clear, concise reports and dashboards for a senior-level audience, ensuring exceptional executive presence.</li> <li>Develop and maintain operational models and data pipelines to support data analysis and reporting.</li> <li>Develop and implement automated reporting solutions to streamline data collection, analysis and presentation</li> <li>Manage and prioritize data and analysis requests from Investor Relations, Finance leadership and executives, supporting high-stakes deliverables such as board presentations.</li> </ul> What We Look for in You: <ul> <li>A BA/BS or higher in a quantitative field such as Financial Engineering, Math, Statistics, Physics, or Computer Science. Preferably with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience</li> <li>Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. </li> <li>Ability to thrive in a fast-paced environment by effectively multitasking, prioritizing tasks, and managing competing demands</li> <li>Ability to influence stakeholders by synthesizing data learnings into compelling stories.</li> <li>Proven track record of effectively managing and communicating with senior leadership, including presenting complex information in a clear and concise manner</li> <li>Demonstrated ability in forecasting as well as building and maintaining data models, dashboards, and performance metrics.</li> <li>Experience in data analytics and supporting high-level executives such as CFOs and investor relations teams.</li> <li>Professional experience using SQL and Python.</li> <li>Understanding of the dynamics of working within a public company and managing sensitive stakeholder relationships.</li> <li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</li> </ul> ID: G2462 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + benefits (including medical, dental, vision and 401(k)). Pay Range: $140,250—$206,000 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please complete this <a href="https://docs.google.com/forms/d/1aJ6-BSPwE5X5Dq7fJ9JixWF0_dRiNfrpMnn1NkvdRiA/edit?ts=62901076" target="_blank">intake form</a> to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Senior Data Scientist - Core Data Science

<h1>Global Head of AI Solutions Sales</h1> <a href="https://careers-americas.icims.com/jobs/17336/global-head-of-ai-solutions-sales/job?mode=apply" target="_blank">Apply for this job</a> Atlassian is looking for an Global Head of AI Solutions Sales to drive our Artificial Intelligence offerings in market as an overlay to our high-touch Account Executive teams. Our team will provide customers with strategic leadership in how they transform their workforce by leveraging AI solutions to accelerate business outcomes. This leadership includes close collaboration with the sales, solution engineer, product, and marketing teams to develop and execute tactics for successful customer change management. The ideal candidate will have a strong background in sales, a deep understanding of AI industry trends, and the ability to effectively prioritize efforts to optimize for maximum territory impact. The ideal candidate will possess a unique blend of executive selling expertise, strategic thinking, and leadership skills. 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. What You'll Do <ul> <li>Drive growth in AI sales by effectively executing and iterating upon our go-to-market strategy in a highly dynamic market.</li> <li>Manage the team to develop and execute territory plans to sell to customers based on their business needs.</li> <li>Build, iterate and execute a repeatable motion across your team to discover and prioritize compelling AI workflows and use cases and quantify business impact of investment</li> <li>Build, iterate and execute a repeatable motion across your team to strategize with customers on change management tactics to ensure solution is adopted broadly.</li> <li>Establish and maintain relationships with senior-level clients, particularly C-level executives and decision-makers.</li> <li>Manage the team as they lead the sales cycle from opportunity identification to closing, managing various stakeholders.</li> <li>Serve as a customer advocate, relaying feedback to enhance solutions. Share the insights acquired with the entire team, including the product, marketing, and sales/solutions leadership teams.</li> <li>Accurately forecast and report on revenue opportunities and track deal progression.</li> <li>Collaborate with channel partners and advisory services to create tailored solutions that effectively tackle the unique challenges faced by clients.</li> </ul> Your background <ul> <li>A minimum of 7 years of experience managing sales teams, ideally specializing in DevOps, Software Development Lifecycle (SDLC) Tools, Application Lifecycle Management, Digital Transformation and with some AI experience.</li> <li>A minimum of 2 years of experience managing a global team and experience with consumption billing models.</li> <li>A track record of surpassing targets showcasing proven techniques for achieving success.</li> <li>Ability to establish and nurture executive relationships with senior decision-makers in AI space.</li> <li>Effective at influencing across all levels up to the C-suite through strong communication, collaboration and presentation skills. You set the bar in terms of communication effectiveness while bringing teams, peers and leadership along on the journey.</li> <li>Collaboration is key. Utilize your experience in closely collaborating with extended sales teams and channel partners to achieve successful client outcomes. Proactively seek opportunities to instigate change and disrupt the status quo in a positive manner.</li> <li>Traveling as necessary to meet with clients, attend industry events, and participate in conferences.</li> <li>Ability to thrive in a rapidly evolving and fast-paced environment with demonstrated ability to navigate, work and collaborate successfully in a matrixed sales organization</li> <li>Experience using CRM to manage opportunities, accurately forecast and correlate sales metrics to individual performance</li> <li>Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity, connecting the dots and flexibility in accepting new ideas or pivoting</li> <li>Demonstrate leadership qualities throughout your work – taking ownership of challenges, supporting your colleagues and setting the standard for quality in your deliverables</li> <li>Professional-level fluency in English</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: $196,500 - $262,000 Zone B: $176,900 - $235,800 Zone C: $163,100 - $217,500 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/17336/global-head-of-ai-solutions-sales/job?mode=apply" target="_blank">Apply for this job</a>

Global Head of AI Solutions Sales

DEADLINE TO APPLY IS THURSDAY, DECEMBER 19. Habitat for Humanity International (HFHI) is seeking to hire a professional to fill the role of Senior Specialist, Data and Analytics, Expertise Hubs.The Senior Specialist position is a member of the learning and development team with Habitat for Humanity’s Expertise Hubs. This position helps contribute to impactful learning experiences by measuring the results of our learning efforts, enabling us to continuously improve and make data-driven decisions and learning strategies using analytics – contributing to our goal of providing high-quality learning experiences for the U.S affiliated network. The Senior Specialist will have the responsibility to collect, interpret and report key metrics that drive decision making for Expertise Hub Directors and show impact of learning products. Additionally, this position manages the Habitat ReStore report process for 900+ Habitat ReStores nationwide. This annual report identifies trends, metrics and benchmarks, intended to help Habitat ReStores evaluate and improve their operations. This position is responsible for evaluating and improving support and service offerings to keep the program effective, and efficient. This position may be based remotely within the US and requires 10% travel. RESPONSIBILITIES ReStore Data Management: *Lead the Annual ReStore Report process for 900+ ReStores nationwide. This person will be the project architect, lead analyst and decision-maker. This includes the Annual ReStore Report as well as aggregating and managing global ReStore data. This process includes: -Building and amending the survey to stay relevant with the evolving national system. -Creating and coordinating national communications for the survey launch and reminders; this includes hosting an annual training with the Affiliate Support Center. -Managing the data collection process and timeline. -Coordinating overseeing of the data scrubbing process and timeline. -Compiling and analyzing data, including preparing visuals for the report to concisely present the data. -Writing the text for the report. -Overseeing the design, formatting, review, and publication processes with multiple departments (Digital Services, Marketing, Communications, Legal, Knowledge Managers, etc.). *Develop and maintain a system to aggregate, integrate, and manage international ReStore data to compile data for the full global network. Product Measurement and Evaluation: *Maintain tracking systems for expertise hub product and service metrics, affiliate awareness, interactions and other engagement opportunities (including but not limited to post-event training evaluations, skill and knowledge assessments, resource collections, MyHabitat dashboard data, Marcom data, Yammer, Email distribution metrics and relevant Salesforce Data.). *Establish automated data collection mechanisms for key product/service metrics. *Design and build dynamic dashboards, scorecards and reports that provide decision makers actionable insights. *Provide timely and regular data analysis and/or reports on Expertise Hub products/services feedback and data to inform decision making about how to improve all expertise hub learning products and services. REQUIREMENTS *Bachelor’s degree. *3+ years of experience in data analytics or data science. *Must have excellent presentation, writing and verbal communication skills. *Must demonstrate the ability to design, implement and evaluate surveys and reports from retail stores and leadership. *Process high level of analytical skills – critical thinking, information analysis, research, problem solving and creativity. *Must be an organized, strategic thinker who is attentive to detail and can collaborate effectively. *Candidate should have knowledge and experience utilizing Smartsheets, Salesforce, Microsoft Excel, Microsoft Power Apps, Power Automate and Power BI dashboards to complete surveys, track development of program details and create reports. *Must be an adept Alchemer user with the ability to write custom calculations in JavaScript/LUA/PHP. *Can systematically apply statistical and logical techniques to drive business outcomes. *Active support of HFHI Values: -Humility – We are part of something bigger than ourselves. -Courage – We do what’s right, even when it is difficult or unpopular. -Accountability – We take personal responsibility for Habitat’s mission. -Safeguarding: HFHI requires that all employees take seriously their ethical responsibilities to safeguarding our intended beneficiaries, their communities, and all those with whom we work. Managers at all levels have responsibilities to support and develop systems that create and maintain an environment that prevents harassment, sexual exploitation and abuse, safeguards the rights of beneficiaries and community members (especially children), and promotes the implementation of Habitat for Humanity’s code of conduct. PREFERRED *Experience working in the Habitat for Humanity, HFH ReStore community or similar industry. *Project management experience and training. *Knowledge of the management of non-profit earned income and retail ventures, preferably within the Habitat for Humanity network. *Basic understanding of adult learning principles. The actual salary offered for this role will be based on a variety of factors, including location, internal equity and the candidate’s qualifications and professional experience. HFHI offers a competitive, comprehensive benefits package that varies by country and typically includes vacation leave, sick leave, personal days, health insurance options, retirement plan contributions and life insurance. For work locations in the US, the hiring range for this position is $57,890 to $68,100 per year.

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