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.

Role Description Vishay is currently seeking applicants for a Quoting & Data Analyst Specialist. We are seeking a highly motivated and detail-oriented Quoting & Data Analyst to support day-to-day pricing and quotation activities for capacitor products. This role serves as a key liaison between Sales, Marketing, Engineering Operations, and customers to ensure accurate, timely, and competitive pricing support. The successful candidate will possess strong analytical skills, good business judgement, prior experience in pricing and quoting in a B2B environment, and a customer-focused mindset dedicated to supporting both internal and external stakeholders. Job Location: Remote What you will be doing: - Manage daily quoting activities for capacitor components and related product lines. - Generate, review, and process customer quotations in accordance with company pricing policies and business objectives. - Collaborate closely with Sales, Marketing, Product Management, Factory Engineering and Customer Service teams to support pricing requests and business opportunities. - Analyze cost data, market trends, historical sales information, and customer requirements to recommend competitive pricing strategies. - Maintain and update pricing information, customer agreements, and quotation records within SAP and Salesforce. - Support contract pricing administration, quote tracking, and profitability analysis. - Prepare reports and dashboards to monitor quote activity, pricing performance, win/loss analysis, and business trends. - Interface directly with customers regarding pricing inquiries, quotation status, and commercial support needs. - Ensure accuracy and consistency of pricing data across business systems. - Identify opportunities to improve quoting processes, workflow efficiency, and data quality. - Support special projects and business analysis initiatives as required. Qualifications - Minimum of 3-5 years of experience in pricing, quoting, sales operations, customer support, or data analysis. - Hands-on experience with: - SAP - Salesforce - Microsoft Office Suite, including advanced Excel skills - Strong analytical and problem-solving capabilities. - Excellent organizational skills with the ability to manage multiple priorities in a fast-paced environment. - Strong verbal and written communication skills. - Ability to work effectively with cross-functional teams and customers. - High degree of accuracy and attention to detail. Requirements - Experience & understanding within the electronics, semiconductor, passive components, or capacitor industry. - Knowledge of pricing strategies, contract management, and sales analytics. - Experience creating reports and dashboards using Excel or similar analytical tools. - Understanding of electronic component manufacturing and distribution business processes. Benefits - Vishay offers a comprehensive suite of benefit programs including health care coverage, financial support programs, and other resources designed to help you achieve your personal and professional goals. - Unique career paths and an open and collaborative culture. - A stable business that will be there for you. - Opportunities to work globally and locally.

• Assist in conducting data analysis from multiple sources, generating reports, and presenting findings to technical and non-technical audiences • Assist in identifying data dependencies between systems, conducting validation checks, and data audits to verify integrity during the migration and integration lifecycle, and learning to resolve discrepancies • Support data mapping, cleansing, and transformation processes to ensure consistency across source systems • Collaborate with team members and stakeholders to achieve business objectives • Document data workflows, schemas, and mapping rules to facilitate team knowledge sharing. • Learn and apply best practices regarding data governance, security, and quality control. • Proactively identify opportunities to optimize data workflows and improve processes