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Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Job Description: This job is responsible for accurate and timely development of manual and automated testing and/or supporting operational and administrative activities related to the end to end test development process. Key responsibilities of the job include evaluating test structure to determine automation viability, accessing pertinent databases to source testing data, and collaborating with Compliance and Operational Risk officers and/or Front Line Unit (FLU) process owners to design sampling and test procedures that support the test objective and ensure the repeatability and reliability of the testing. Responsibilities: <ul> <li>Designs independent testing on a team in support of coverage needs identified by Compliance and Operational Risk officers and/or Front Line Unit process owners, inclusive of transactional, qualitative, onsite, employee quality review, and surveillance testing</li> <li>Assesses databases and documentation from internal and external sources to develop data extract, sampling, and testing procedures, working closely with Front Line Unit data contacts and subject matter experts</li> <li>Collaborates with Compliance and Operational Risk officers and/or Front Line Unit process owners to design sampling and test procedures that support the test objective and ensure the repeatability and reliability of the testing</li> <li>Manages the quality of the test design process in accordance with the Independent Testing Enterprise Policy and Standard</li> </ul> Skills: <ul> <li>Adaptability</li> <li>Attention to Detail</li> <li>Collaboration</li> <li>Monitoring, Surveillance, and Testing</li> <li>Problem Solving</li> <li>Application Development</li> <li>Data Collection and Entry</li> <li>Data Privacy and Protection</li> <li>Influence</li> <li>Issue Management</li> <li>Automation</li> <li>Business Intelligence</li> <li>Interpret Relevant Laws, Rules, and Regulations</li> <li>Quality Assurance</li> <li>Reporting</li> </ul> Team Overview Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities they build address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing their activities, GRA and EIT drive innovation, process improvement and automation. Role Overview The Data Quality Testing Lead is accountable for leading transaction and / or controls testing within the Financial Regulatory Reporting or Global Financial Crimes data quality testing portfolio and oversees all aspects of the testing life cycle including test development, test execution, and results aggregation/ dissemination. This role entails managing a portfolio of tests used to provide timely, useful, and actionable independent insight on the operational health of Bank of America’s processes. The team is essential to the Bank achieving its commitment to process excellence, and this role provides a unique opportunity to shape how the Bank manages its operational risk. We are seeking candidates with expertise in process and operational excellence. Candidates should also possess subject matter expertise in financial regulatory reporting or Global Financial Crimes and/ or data quality testing (including but not limited to transaction, conformance, and / or controls). The Data Quality Testing Lead collaborates with process owners in the Front-Line Units and Control Functions (FLUs/CFs) to understand their processes, identify risks to successful execution, and prioritize/plan for the development of methodologies (e.g., models, analytical tools, and testing scripts) used to evaluate the effectiveness of processes and controls, and adherence to applicable Laws/Rules/Regulations, policies, and procedures. This role requires partnering effectively with Global Compliance Operational Risk (GCOR), as well as various teams within GRA/EIT who provide operational, data sourcing, and technology infrastructure support. The outputs of the methodologies will be used to drive process improvements and timely detection of errors. The Data Quality Testing Lead provides data testing oversight, resource management, and escalation/resolution of test execution issues, as needed, to ensure timely, complete and seamless execution of data quality tests. The role requires critical thinking and willingness to dig into the details of both existing and new methodologies to ensure they are fit for purpose. The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators. Desired Education, Skills, and Experience <ul> <li>Bachelor’s degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration</li> <li>5-7 years minimum experience in regulatory reporting, data, compliance, or risk functions</li> <li>Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions</li> <li>Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles</li> <li>Knowledge of financial services industry and related regulations</li> <li>Digital fluency</li> </ul> Required Skills <ul> <li>Adept at detecting and remediating organizational / process weaknesses and deficiencies</li> <li>Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines </li> <li>Strong written, verbal, presentation creation and delivery skills</li> <li>Well organized with attention to detail</li> <li>Ability to manage teams to deliver high quality work in a timely manner</li> <li>Willing to challenge the status quo and with a track record of driving change </li> <li>Experience implementing process improvements and automation </li> <li>Intellectual curiosity</li> <li>Strong data quality mindset</li> <li>Advanced Microsoft Office skills </li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Data Quality Testing Lead (Transaction & Conformance & Controls)

R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry’s most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration. We are seeking a visionary Data Science Director of Product to lead our data science initiatives and drive the development of cutting-edge products in the healthcare industry. This role demands a unique blend of leadership in product strategy, an understanding of the healthcare revenue cycle, deep experience leading teams, and a grounding in data science principles and analytics. Responsibilities: <ul><li> Strategic Leadership in AI-focused Product Development: Lead the strategic vision for embedding innovative data science solutions within our product offerings in healthcare revenue cycle, reporting into R1’s VP of Data Science. Balance technical expertise with a keen eye for improving the business, finding product opportunities, market trends, and prioritizing the highest impact projects. </li></ul><ul><li> Team and Project Management: Oversee a team of data science product managers, nurturing a high-performance culture of teamwork, collaboration, and innovation. Prioritize and manage multiple projects to efficiently allocate resources and ensure alignment with R1’s business strategy and data science team’s goals. </li></ul><ul><li> Stakeholder Engagement and Influence: Act as a bridge between data science and Senior leadership across the business. Use exceptional communication skills to translate complex data concepts into actionable business strategies, influence decision-making, and promote product adoption across the organization. </li></ul><ul><li> Innovative Analytics and Product Insights: Leverage data to make informed decisions about solution feasibility, model improvements, product innovation and efficiency. Use data to tell compelling data science product stories. </li></ul><ul><li> Cross-functional Problem-Solving: Identify pain points and obstacles in current product offerings, then synthesize into innovative solutions to complex challenges. Recognize opportunities to scale data science solutions and products across the business. </li></ul><ul><li> Healthcare Industry Expertise: Deeply understand healthcare revenue cycle processes and regulations. Use this knowledge to guide product development, translate business challenges for our data scientists, and ensure compliance and relevance in our solutions. </li></ul>Required Qualifications: <ul><li> Experience: 10+ years total business experience including working in product or leading innovative teams. </li></ul><ul><li> Healthcare Experience: 3+ years of experience working in healthcare revenue cycle. </li></ul><ul><li> Technical Experience: 3+ years working in data science or analytics, with at minimum an understanding of core data science principles. Ability to visualize data and model results utilizing a modern BI tool (Power BI, Spotfire, Tableau, etc.). </li></ul><ul><li> Leadership: Strong leadership, presentation, and reporting skills coupled with a track record of managing high-performing teams and complex projects. Excellent mentoring capabilities. </li></ul><ul><li> Communication: Excellent communication and presentation skills, with a keen eye for details. Capable of engaging and influencing various stakeholders. </li></ul><ul><li> Business Acumen: Robust understanding of business financials (e.g., P&amp;L budgets) and metrics (e.g., OKRS) with the ability to align data science initiatives with business objectives. </li></ul>For this US-based position, the base pay range is $109,118.00 - $187,269.24 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.This job is eligible to participate in our annual bonus plan at a target of 20.00%The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a <a href="http://go.r1rcm.com/benefits" target="_blank">competitive benefits package.</a>R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights <a href="https://f.hubspotusercontent20.net/hubfs/4941928/California%20Consent%20Notice.pdf" target="_blank">California Consent </a>To learn more, visit: <a href="https://R1RCM.com" target="_blank">R1RCM.com</a>Visit us on <a href="https://www.facebook.com/R1RCM" target="_blank">Facebook</a>

R1 RCM

Director of Product, Data Science

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryDo things that matter. Diabetes, congestive heart failure, COPD, back pain, asthma, pulmonary fibrosis, chronic kidney disease, Alzheimer's, multiple sclerosis, cancer... everyone knows someone affected by these conditions. Our goal is to decrease cost and improve health for members with chronic disease. We do this by using data science and advanced analytics (e.g., condition specific predictive models and clinical data mining) to improve their care journeys and outcomes, focusing on the right members getting the right interventions at the right time. Mission aligned to improve health. With 1,000+ health hubs, 1,100+ minute clinics, 23M+ lives insured by Aetna, and 100M+ lives with pharmacy benefits coverage through Caremark. With this unique collection of assets, CVS Health has an unparalleled platform to make a significant impact on healthcare in the US and beyond. We have actual big data. The combined data assets of CVS are massive: medical and pharmacy claims, health care records, commercial store, and transactional data for 100M+ members. The scale of our data will allow you to design and test powerful experiments and challenge yourself to innovate in ways that others simply cannot. An elite team. You’ll be joining a team of MDs, PhDs, MBAs, and top analytics professionals that bring their clinical, technical, and economic experience to bear on some of the toughest targets in healthcare. Our PBM Analytics team is tasked with optimizing our ability to engage with our 100M+ Caremark members to help them make better healthcare decisions, particularly relating to the medications they take. Our goals are to improve clinical outcomes and to help members gain more transparency into the healthcare system so that they can save money and have better experiences. To do this we’ve developed a leading capability that combines data science, agile marketing, behavioral economics, large scale experimentation, and optimization of our digital capabilities. Through this we message millions of members each year about real challenges they face and help them become healthier or save money – we drive tangible and meaningful impact for our members. This role is required to<ul> <li>Develop and/or use algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes</li> <li>Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry</li> <li>Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics</li> <li>Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions</li> <li>Interact with internal and external peers and managers to exchange complex information related to areas of specialization</li> <li>Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions</li> <li>Use strong programming skills to explore, examine and interpret large volumes of data in various forms</li> </ul> Required Qualifications<ul> <li>3+ years of relevant analytic experience</li> <li>Experience programming using R or Python</li> <li>Experience in SAS or SQL</li> </ul>​Preferred Qualifications<ul> <li>Demonstrates strong ability to communicate technical concepts and implications to business partners</li> <li>Anticipates and prevents problems and roadblocks before they occur</li> <li>Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources</li> <li>Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analysis, and predictive modeling and in-depth specialization in some areas</li> <li>Foundational knowledge of PBM business functions, including underwriting, sales, product development, network management, and trade</li> </ul> EducationBachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferredAnticipated Weekly Hours40Time TypeFull timePay RangeThe typical pay range for this role is:$83,430.00 - $222,480.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul> <li>Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li> <li>No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li> <li>Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li> </ul>For more information, visit <a href="https://jobs.cvshealth.com/us/en/benefits" target="_blank">https://jobs.cvshealth.com/us/en/benefits</a>We anticipate the application window for this opening will close on: 06/20/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVSHealth

Senior Data Scientist - UM strategy and management

Cherokee Nation Businesses

Sr Analyst and Researcher, HR Analytics

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The Analytics Engineering team is part of the Data Engineering organization, whose mission is to build reliable and trusted data sources and tools that enable timely and accurate data-driven decision-making. Sitting at the intersection of data engineering, data science, and business analytics, our team transforms raw data into actionable insights through solid pipelines, scalable data models, and intuitive tools. By prioritizing data quality, reliability, and usability, we make sure stakeholders can trust and leverage data to drive real business impact. What you’ll be doing: This role combines technical expertise with business impact, whether it’s building robust data pipelines or directly solving business problems and delivering insights. As the leader of the analytics engineering team, you’re going to: <ul> <li> Build and lead the team: Hire, mentor, and grow a team of analytics engineers who will work closely with product and data science teams.</li> <li> Develop deep product expertise: Ensure your team deeply understands product data, building targeted data marts and tools that solve real business problems.</li> <li> Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. Focus on creating data marts optimized for LLMs and AI-driven analytics.</li> <li> Unlock the value of our data: Partner with stakeholders to maximize the commercial impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making.</li> <li> Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions.</li> <li> Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows.</li> <li> Bridge the gap between business and data: Liaise between product data science, product managers, and central data engineering. Ensure your team uses central data tools and infrastructure while remaining agile and product-focused.</li> </ul> What We Look For in You We’re looking for a hands-on leader to build and manage the Analytics Engineering team, bridging data engineering and product data science. Your team will create domain-specific data marts, tools, and analytics solutions that drive our products and business. You’ll build tailored data solutions while staying aligned with data engineering best practices. This is a chance to shape the future of analytics as we integrate LLMs and AI-driven insights. Success in this role requires a mix of leadership, technical expertise, and product mindset. Here’s what we’re looking for: <ul> <li> Resourceful problem solver: You thrive on tackling new and complex challenges, even those outside of your expertise. Whether it’s learning a new programming language, diving into an unfamiliar dataset, or seeking insights from domain experts, you do whatever it takes to find the best solution. Difficult or ambiguous problems don’t frustrate you; they motivate you.</li> <li> AI-forward: You’re excited about the role of LLMs and AI in analytics, leveraging them to boost productivity while applying prompt engineering and design to improve response accuracy and relevance. You bring forward-thinking ideas on how to prepare for an AI-driven future.</li> <li> Experienced in building and leading teams: You have experience hiring and managing data teams, and know how to inspire and grow talent.</li> <li> Hands-on tech lead: You’re comfortable balancing hands-on work with strategic leadership.</li> <li> Data modeling and tools: You’re an expert in data modeling, ETL/ELT, and modern data stack tools (e.g., Airflow, DBT, Snowflake, Hex).</li> <li> Engineering best practices: You’re comfortable with version control (GitHub), CI/CD, modern development workflows, OOP, building scalable frameworks, and advanced SQL for data transformation, querying, and optimization.</li> <li> Creative and detail-oriented: You bring out-of-the-box thinking, meticulous attention to detail, and a sense of urgency to every project.</li> <li> Autonomous and accountable: You operate with a high degree of independence while taking full ownership of outcomes.</li> <li> Product and business sense: You’ve collaborated with product and data science teams to deliver analytics solutions, you can quickly understand product goals, prioritize tasks, and address business challenges through analytics engineering.</li> <li> Clear and influential communicator: You communicate clearly and know how to get buy-in for your team’s work, build relationships across teams, and break down silos.</li> <li> Strong statistical foundation: You have a strong understanding of statistics and probability, enabling you to interpret data effectively, validate assumptions, and support data-driven decision-making.</li> </ul> ID:P66578 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 + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $207,485—$244,100 USD 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: $207,485—$244,100 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <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 contact us at accommodations[at]coinbase.com 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

Analytics Engineering Manager

Counseling & Recovery Services of Oklahoma

Clinical Systems & Business Intelligence Specialist

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ONE Gas

Data Analyst II, Accounting Billing Control

<h2 id="who-we-are">Who we are</h2> <h3 id="about-stripe">About Stripe</h3> 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. <h3 id="about-the-team">About the team</h3> We’re looking for an experienced data analyst to deepen our understanding around the economic impact Stripe is having globally. You will be part of a community of analysts and data scientists on the Go-to-Market Analytics team, and you will partner with Stripe’s Communications, Policy, and Marketing teams to build and protect Stripe’s brand and influence across the world. <h2 id="what-youll-do">What you’ll do</h2> Stripe has a unique view of the world, with real-time insight into changing trends, industries, and cross-border commerce. The Data Analyst, Communications &amp; Policy role will focus on constructing and analyzing data, built upon robust data pipelines and a strong data architecture, to demonstrate how Stripe enables broad and often surprising economic growth. This role will help tease out novel economic insights from Stripe data to tell stories about how pockets of the economy are evolving, and how Stripe is advancing economic opportunity and increasing the GDP of the internet. <h3 id="responsibilities">Responsibilities</h3> <ul> <li>Partner with the Communications, Policy and Marketing teams to imagine, scope, and lead research projects that bring to life different facets of Stripe’s economic impact </li> <li>Design, implement and maintain data pipelines and dashboards to generate insights from Stripe internal and external public data sources </li> <li>Define and monitor key economic impact metrics </li> <li>Go deep on understanding business drivers, user segments, cohorts and macroeconomic trends </li> <li>Prepare presentations, analyses and visualizations for internal and external executive audiences </li> <li>Partner closely with Communications, Policy, Marketing and Product teams to identify and analyze key trends and produce thought leadership pieces and campaign content leveraging Stripe data </li> <li>Collaborate with external vendors, academics, and think tanks to advance Stripe’s research agenda and advocacy positions </li> </ul> <h2 id="who-you-are">Who you are</h2> 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. <h3 id="minimum-requirements">Minimum requirements</h3> <ul> <li>5+ years of experience in analytical roles working with large datasets </li> <li>Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field </li> <li>Proficiency in SQL and Python </li> <li>Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark) </li> <li>Experience building self-serve dashboards or other scalable analytical tools for partner teams </li> <li>Strong knowledge of statistics </li> <li>Experience developing data-informed narratives and visualizations for external publication </li> <li>Demonstrated experience of and interest in the public discussion of economic trends (whether as a data scientist, writer, researcher, or in another capacity) </li> <li>Demonstrated ability to lead and deliver on multiple projects with a high attention to detail </li> <li>Outstanding written and verbal communication skills </li> </ul> <h3 id="preferred-qualifications">Preferred qualifications</h3> <ul> <li>Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field </li> <li>Experience working with institutions that are respected by policymakers and the wider public for their economic insight </li> <li>Familiarity with survey design and analysis </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 $146,900 - $220,300. 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 Toronto Remote locations Remote in United States Team Data &amp; Data Science Job type Full time <a href="#"> Apply for this role </a>

Stripe

Data Analyst, Communications & Policy

CBRE

Business Intelligence Manager

Position Details Req ID req1399 Job Title MASTER DATA ANALYST I Division Corporate Shift First Shift Job Summary Job Summary Applies fundamental knowledge of principles, theories, concepts and industry practices and standards in the area of Master Data maintenance including managing of policies and procedures, research and policy change implementation to ensure compliance to regulations and laws that apply to Aerospace and Defense. Essential Functions &amp; Key Responsibilities <ul> <li>Solves problems of limited scope and complexity relative to developing comprehensive Master Data procedures and guidelines and processing of SAP Master Data requests that apply to aerospace and defense. Management applies close to moderately close supervision and review of work performed.</li> <li>Assist with executing short and long-term policy priorities; build support for multi-department policy change by working directly with management and affected departments.</li> <li>Assists in providing technical support on policy issues to government officials and partners to advance policy goals.</li> <li>Consolidates, reviews and processes all requests for Master creations, changes and deletions; requests are subject to response in accordance with service level agreements.</li> <li>Maintains tracking and communicates this information to management via aging reports and prioritization of quick-turn items.</li> <li>Reviews all requests and ensures that data is accurate in the system.</li> <li>Maintains and updates all Master Data documentation and ensures that it is available to all the necessary groups via the intranet and hard copy; communicates all changes in a timely manner.</li> <li>Analyzes information and troubleshoots problem areas with the appropriate departments and perform corrective actions as necessary.</li> <li>Periodically reviews the rules and accuracy of the Master Data with all affected user groups within the company.</li> <li>Works with peers to ensure that all understand the master data guidelines and procedures to ensure that the data is accurate, and fields are populated correctly; maintain and develop relationships with other departments and management to manage a uniform policy and procedure process.</li> <li>Provide written and oral documentation, as needed.</li> </ul> Performs other duties as required. These duties may include assignments in job classifications and departments other than the primary assignment. Minimum Qualifications Education Requirements Minimum 4 Year / Bachelors Degree. Supply Chain Management or other related discipline. If applicable, a combination of experience and training may be substituted for the education requirement.Experience Requirements 0-2 year(s) Related experience and/or training. Skills and Competencies <ul><li>Must be able to arrive at work on time, work onsite, and attend regularly.</li> <li>Must be able to read and write the English language, perform basic mathematical calculations and learn to interpret and comprehend company policies, procedures, safety instructions, and other like documents used in an aerospace manufacturing environment.</li> <li>Competent in the use of standard software applications such as Microsoft Word and Excel and operate standard office equipment.</li> <li>Makes telephone and direct personal contact with internal and external personnel and makes formal presentations to small or large groups.</li> <li>Ability to conduct policy research</li> <li>Good analytical and organizational skills.</li></ul> Skills and Work Requirements Physical Requirements Physical Requirements Must be able to work in excess of eight (8) hours per day and five (5) days per week, if required. Additionally, those who work at NORDAM Repair Division must be able to ascend and descend stairs. Demand - Frequency Walk - Frequent Use hands to handle or feel or manipulate - Frequent Reach with hands and arms - Frequent Stoop, kneel, crouch, or crawl - Occasional Talk and hear - Frequent Use close vision, depth perception, and ability to adjust - Constant Travel between facilities (drive) - Occasional Stand - Occasional Climb Stairs - Occasional Weight - Frequency 25 pounds - Occasional Work Environment Work Environment While performing the duties of this job, the Stakeholder is occasionally exposed to moving mechanical parts, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level in the work environment is usually moderate. Supervision Supervision <ul><li>Follows well established policies and practices as assigned by immediate supervision.</li> <li>Follows specific, detailed instructions as to tasks, methods and results.</li></ul> EEO Statement The NORDAM Group LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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