• Collect, clean, transform, and validate data from multiple sources • Build dashboards, performance reports, and standardized visualizations • Apply statistical methods to analyze performance trends and business outcomes • Execute recurring analytics processes and recommend efficiency improvements • Troubleshoot data discrepancies and maintain procedural documentation • Translate business requirements into clear analytical outputs • Support automation and workflow optimization for reporting and analysis • Contribute to cross-functional analytical initiatives with increasing independence

• Analyze workflow issues and data integrity problems, provide recommendations on resolution, and advise management accordingly. • Conducting and leading projects to accompany the transformation of Liberty’s business processes through the effective collection, processing, and visualization of data. • Document and optimize business processes by researching industry best practices and supporting the development of solutions for current business operations. • Develop a deep understanding of core business processes and how performance is measured, and work with business units to discern strategic and analytical data and analytics needs and gaps. • Utilize diagnostic/predictive/prescriptive analysis to derive business insights and direct/drive action that increases revenue, decreases cost, and/or mitigates risk. • Possess a thorough understanding of University systems and data sets, and be able to summarize and describe raw data sets for departmental use. Support validation processes to ensure data accuracy. • Analyze data to align with organizational goals and relay business impacts of findings through data-driven recommendations. • Collaborate closely with business units and provide expert input on functional business topics. • Streamline business processes by leveraging new or existing technology, including application and reporting development, while adhering to internal development and publication standards. • Provide operational support to assigned business units' systems, including technical assistance. • Provide regular updates to customers on business process improvement and new technology activities, maintaining a high level of customer service. • Mentor junior analysts on standards, best practices, and advanced analytics techniques. • Assist department leadership with daily coordination of duties, projects, and tasks, including supporting the interviewing process for new hires.

Role Description Join BILL as a Senior Staff Product Analyst on our Central Data & Analytics team, where you’ll turn our rich payments and back-office data into the trusted products, models, and insights that power decisions across the company. In this high-visibility individual contributor role, you’ll be the deepest technical and analytical authority in your domain, architecting the data products and frameworks that underpin strategic, operational, and regulatory outcomes for leaders across Finance, Product, and Go-to-Market. You’ll sit at the intersection of data architecture, product analytics, and executive decision-making, setting the bar for how analytics is built and consumed at BILL. If you love taking ambiguous business problems from idea to production-grade data assets, care deeply about metrics rigor and data quality, and thrive as the person others call when the problem is hard and high stakes, this role is for you. Responsibilities: - Own end-to-end delivery of high-leverage data products — from ambiguous business problem to production-grade dashboards, semantic layers, and data marts — with clear accountability for design, build, and impact. - Architect scalable, reliable data models and pipelines that serve as the organization’s source of truth, balancing performance, cost, governance, and usability. - Define, document, and enforce technical standards for AI governance, data quality, metrics definitions, and dashboard design, creating patterns that other analysts and engineers adopt. - Translate complex, high-stakes business questions into rigorous metrics frameworks, instrumentation plans, and experimentation or analysis approaches that executives can act on with confidence. - Act as a force multiplier by mentoring analysts and engineers across teams, reviewing designs and code, and raising the technical bar through example and guidance. - Build trusted advisory relationships with senior leaders, influencing data and analytics strategy and helping resolve cross-team misalignment around data ownership, definitions, and architecture. - Drive org-wide adoption of data products and standards through clear documentation, training, office hours, and proactive communication — measuring success by usage, trust, and decision impact. - Evaluate and apply AI/LLM-based tooling to accelerate analysis and self-serve consumption of data products, e.g. natural-language query interfaces, automated metric anomaly detection, or AI-assisted documentation, while ensuring outputs meet the same governance and accuracy bar as human-authored analysis. Qualifications - 10+ years of progressively deeper experience in analytics, BI, or data engineering, with a track record of independently owning large-scope, high-impact initiatives end to end. - Expert-level SQL skills, including query optimization at scale, advanced window functions and CTEs, and the ability to explain and improve complex queries and modeling approaches. - Deep data modeling expertise (e.g., dimensional and incremental modeling, partitioning/bucketing strategies) and experience embedding data quality, security, and access controls into models by default. - Hands-on experience with a modern cloud data warehouse or lakehouse platform (such as Snowflake, Starburst/Trino, Databricks, or similar) and at least one BI platform (such as Tableau, Looker, or Power BI). - Exceptional stakeholder communication skills, with a history of turning complex technical tradeoffs into simple, compelling narratives and recommendations for senior, non-technical audiences. Desired Qualifications - Working proficiency in Python for data manipulation, pipeline logic, analytics tooling, or automation. - Demonstrated experience shaping data or BI standards across an organization (for example, AI governance, KPI certification, or enterprise metric frameworks) and influencing without formal authority. Requirements - The estimated salary range for this role is noted below for our San Jose based role: $167,400 — $200,700 USD. - The estimated base salary range for this role is noted below for our office location in Draper, UT: $142,300 — $170,600 USD. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.

Role Description Our Data team solves complex problems with smart, practical solutions. Data Analysts and Scientists work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward. We're looking for a talented Data Analyst to dig into our complex databases, look for root causes of a problem, design your own solutions, and write your own code to implement them. We aim for you to never stop learning, picking up new skills and delivering value along the way. Up to shape what's next in finance? Let's get in touch. What you'll be doing - Understanding our business and its processes through our data - Applying this understanding and knowledge of data to answer RFI - Designing key metrics to measure different aspects of the business, including data quality metrics related to BCBS239 and RDARR guide - Creating and maintaining new aggregated views and tables to simplify data querying - Maintaining and creating new dashboards to track metrics and visualise insights - Promoting data literacy across the company, organising and holding workshops Qualifications - Experience in an analytical role, creating impactful solutions - 5+ years of experience with SQL - Experience managing data analysts or data scientists - A background/education in a quantitative discipline - Great skills with Python or other programming languages - Evidence of solid mathematical and statistics knowledge Important notice for candidates - Only apply through official Revolut channels. - We don't use any third-party services or platforms for our recruitment. - Always double-check the emails you receive. - Make sure all communications are being done through official Revolut emails, with an @revolut.com domain. - We won't ask for payment or personal financial information during the hiring process. - If anyone does ask you for this, it's a scam. Report it immediately. By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice.