Role Description The Senior Data Analyst will play a key role within our expanding analytics team, driving strategic insights to support both operational and clinical decision-making. Collaborating closely with senior stakeholders, this role will shape reporting strategies and steer data-driven initiatives. This is a home-based role (applicants must reside in the UK), though occasional travel may be required for face-to-face meetings at various locations within the UK. As our Senior Data Analyst, you will: - Design and maintain impactful data solutions—including Power BI dashboards, automated reports, and ETL workflows—to deliver clear, actionable insights across the organisation. - Partner with senior stakeholders to gather and refine requirements, translate business needs into technical specifications, and manage expectations effectively throughout project lifecycles. - Apply data storytelling techniques and advanced analytics to highlight trends, improve patient outcomes, and support strategic decision-making. - Write, review, and optimise complex SQL queries for data extraction, transformation, and analysis across multiple data sources. - Ensure data quality and governance by implementing best practices in data management and validation. - Mentor junior analysts, supporting their professional development and promoting best practices in analytics. - Contribute to advanced analytics projects, including predictive modelling and automation using Python. - Stay up to date with trends and best practices in data analytics, business intelligence, and healthcare technology. Qualifications - Established experience in a data analyst or senior analyst role. - Expert in Power BI (DAX, Power Query) and building complex, user-friendly dashboards. - Advanced SQL skills for querying large, relational data sources. - Proficient in Python for data analysis, automation, and/or machine learning workflows. - Advanced Excel skills (Power Query, pivot tables). - Experience designing and maintaining ETL pipelines and automated reporting workflows. (Databricks a bonus). - Strong analytical and problem-solving abilities, with a talent for distilling complex data into meaningful insights. - Strong organisational skills and the ability to manage multiple priorities and timelines. Requirements - Proactive and analytical professional with exceptional communication and relationship-building skills. - Ability to confidently manage stakeholder expectations and lead by example. Benefits - Health Cash Plan. - Well Hub Subscription. - Access to an Employee Assistance Programme. - Annual Volunteering Day. - Enhanced Sickness and Family Leave pay. - Length of Service Bonus. - Work from Home allowance. - Pension options.

Title: Lead Data Analyst, MyPay Location: United States remote Job Description: About the Role We are looking for a highly analytical and strategic Lead Data Analyst of Credit Risk to lead risk strategy for MyPay, Chime's innovative product that provides members with early access to their earned wages. In this role, you will be the cornerstone of our MyPay risk function, balancing rapid product growth with responsible risk management and loss mitigation. You will sit at the intersection of credit risk strategy and data science. You will own the underwriting, limit assignment, and loss forecasting strategies for MyPay, leveraging your deep technical expertise to build data-driven solutions. You will also directly manage, mentor, and grow a team of talented Data Analysts to execute on complex analyses and experimentation. The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to - Drive Risk Strategy: Support the end-to-end credit risk lifecycle for the MyPay product, including underwriting policies, dynamic limit assignments, and repayment strategies. - Lead Experimentation: Design, execute, and analyze rigorous A/B tests to optimize credit limits, user experience, and risk/reward trade-offs. - Leverage Data Science: Utilize advanced statistical modeling and data science techniques to identify new risk signals, improve predictive models, and automate risk decisioning. - Cross-Functional Collaboration: Partner closely with Product Management, Engineering, Data Science, and Finance to integrate risk strategies seamlessly into the member experience and align on financial targets. - Monitor & Report: Develop robust dashboards and reporting frameworks to track portfolio performance, loss metrics, and the financial health of the MyPay program. To thrive in this role, you have - Experience: 7+ years of experience in credit risk, data science, or advanced analytics, preferably within consumer lending, fintech, or earned wage access (EWA). - Technical Expertise: * Expert-level proficiency in SQL for complex data extraction and manipulation. - Strong programming skills in Python (Pandas, NumPy, Scikit-learn) for data analysis and predictive modeling. - Experimentation Mastery: Deep hands-on experience designing, launching, and analyzing A/B tests and multivariate experiments, with a strong grasp of underlying statistical concepts. - Domain Knowledge: Solid understanding of consumer credit risk principles, loss forecasting, and unit economics. - Communication: Exceptional ability to translate complex data and technical concepts into actionable, high-level strategies for executive stakeholders. #LI-EI1 #LI-Onsite A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it''s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we''re proud to have helped millions unlock their financial potential. We''re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner''s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people''s trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren''t just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don''t-who will? - Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees - Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates. - In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute - Competitive salary based on experience - 401k match plus great medical, dental, vision, life, and disability benefits - Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off - 🫂 1% of your time off to support local community organizations of your choice - Annual wellness stipend to use towards eligible wellness related expenses - Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents - Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more. - In-person and virtual events to connect with your fellow Chimers-think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too! - A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

Title: Senior Data Analyst Location: Chicago, Illinois / San Francisco, California / New York City, New York Job Description: About the Role We are seeking a motivated and skilled Sr Data Analyst with a focus on data & automation for Ubers Ads team. This role is pivotal in optimizing the strategic insights analytics and streamlining the reporting processes through advanced technical expertise in SQL, Python, and APIs. The successful candidate will be instrumental in improving the efficiency and effectiveness of data-driven decision-making within Ubers Ads operations. What Youll Do - Develop and maintain SQL queries and scripts to extract, manipulate, and analyze large datasets - Utilize Python to automate data workflows and perform data analysis and extrapolation - Integrate various data sources and APIs to contribute to real-time data monitoring and automation solutions - Collaborate with cross-functional teams to support data-driven strategies and business decisions - Aid in the preparation and maintenance of detailed reporting models and dashboards - Conduct exploratory data analysis to identify trends and opportunities for growth within Uber Ads - Assist in designing and implementing data automation frameworks to enhance operational processes Basic Qualifications - 4 years experience in Analytics, Business Intelligence, Automation, Data Science, or similar - Previous experience in Data Automation - Experience within data visualization platform such as Tableau, PowerBI, or similar - Advanced proficiency in SQL for complex data querying and manipulation (live assessment required for interview process) - Advanced proficiency in Python with a focus on data extraction, transformation, and automation (live assessment required for interview process) - Bachelors degree preferably within Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field Preferred Qualifications • Understanding of digital advertising or media analytics • Experience with Python web development framework such as Flask or Django • Experience with leveraging GenAI to automate workflow and/or data analysis • Ability to work in a fast-paced, dynamic environment and manage multiple priorities For Chicago, IL-based roles, the base salary range for this role is USD 122,000 per year - USD 135,500 per year. For New York, NY-based roles, the base salary range for this role is USD 135,000 per year - USD 150,000 per year. For San Francisco, CA-based roles, the base salary range for this role is USD 135,000 per year - USD 150,000 per year. For all US locations, you will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of compensation. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link: https://jobs.uber.com/en/benefitshttps://jobs.uber.com/en/benefits. Ubers mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us moves the world - lets move it forward together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form: https://forms.gle/aDWTk9k6xtMU25Y5A. Offices continue to be central to collaboration and Ubers cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customersto provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #Li-Hybrid Job Description About the role: The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. We are looking for a Principal Data Architect to lead our Product Intelligence data function and to bring your experience and vision in enterprise data architecture, data modeling, and team leadership. You will own the strategy for bringing together disparate, company-wide data sources into a single, unified data lake, and will lead, develop, and mentor a team of data engineers to deliver on that vision. This is a highly strategic role: you will translate telemetry and usage data into product-led insights that identify upsell opportunities, predict churn, and help the business meet its revenue targets, and you will regularly manage senior stakeholders and present your data strategy directly to C-level management. We're looking for someone with a strong data background who also understands the strategic importance of building an AI-ready data foundation. What you'll do - Own the enterprise data strategy and architecture, unifying disparate company-wide data sources into a single, unified data lake. - Lead, develop, and mentor a team of data engineers, providing technical direction, coaching, and supporting their career growth. - Partner with Product Management and business stakeholders to translate product usage and telemetry data into product-led insights - identifying upsell opportunities, predicting churn, and supporting revenue targets. - Manage senior stakeholders across the business and regularly present data strategy, insights, and recommendations to C-level management. - Own the technical architecture for data warehousing, data lake design, data modeling, and data access patterns. - Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools. - Champion an AI-ready data strategy, ensuring our data foundations, models, and governance are structured to support future AI and advanced analytics use cases. - Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code. - Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads. - Promote an agile, iterative engineering culture and actively contribute to team ceremonies. Qualifications Data Engineering Experience - Master's degree (or equivalent) in Computer Science, Engineering, or a related field. - 8+ years of experience as a Data Engineer or Data Architect, including 3+ years leading, developing, and mentoring a team of data engineers. - Proven track record designing and delivering unified data warehouse/data lake architectures that bring together disparate, company-wide data sources. - Experience partnering with Product and business teams to deliver product-led insights, such as identifying upsell opportunities, predicting churn, or supporting revenue growth. - Demonstrated experience managing senior stakeholders and presenting data strategy and insights to executive/C-level audiences. - Strong expertise in database design, data modeling, and handling both structured and unstructured data. - Strong system design and architectural skills, with the ability to design scalable data platforms. - Proficiency in SQL and Python, with solid experience building and maintaining ETL/ELT pipelines. - Familiarity with modern data stack tools such as dbt, AWS Lambda, Step Functions, Glue, Athena, Redshift, or similar. - Experience with data visualization tools such as Power BI, QuickSight, Tableau, or similar. - Practical knowledge of DevOps practices, CI/CD pipelines, and tools such as Git. - Experience with containerization and infrastructure tools (e.g., Docker, Terraform, Jenkins). - Hands-on experience with the AWS cloud platform. - Proven ability to own projects end-to-end and operate with a high level of autonomy. - Excellent communication and collaboration skills, with fluency in English. AI Awareness & Strategic Understanding - Solid understanding of AI/ML and LLM concepts and their strategic implications for data architecture - hands-on experience building AI agents or RAG systems is a strong plus. - Ability to identify where and how AI can create value across the data platform, and to architect data foundations (e.g., semantic layers, data quality, governance) that make the data lake AI-ready. - Comfortable partnering with AI/ML practitioners or vendors to enable future AI-powered use cases, such as natural-language data exploration. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. IIf you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Amazing centrally located offices near the Bernabeu Stadium. - Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us. - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer) plus 3 company-paid volunteer days. - Up to 25 EUR per month for a gym subscription. - Flexible compensation plan for childcare & public transportation. - ‍ Reimbursement of up to 50% of the cost of English & Spanish classes. - Fresh fruit, cookies, soft drinks and protein shakes at the offie. - Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more! - Bonuses for referring successful hires after three months of continuous employment. - We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner. The base salary for this role is €60,000 - €90,000 gross per year, with a total on-target earnings (OTE) range of €69,000- €103,500 including an annual performance bonus. You'll also be part of our broader total rewards package - including benefits tailored to where you live and how you work best. We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. Ranges are reviewed every year to remain competitive and fair. We're transparent about this because we think you deserve to know what you're working towards from day one. In accordance with the EU Pay Transparency Directive (2023/970), we publish salary ranges on every Nexthink role. We won't ask what you currently earn or your previous salary. What matters to us is what this role is worth and whether it works for you. Nexthinkers come from all kinds of backgrounds, and that's what makes us stronger. We welcome applications from everyone.