Analyzes marketing spend, channel performance, attribution, and customer growth through reporting, experimentation, data modeling, and predictive analytics. Requires 3+ years of data analysis experience, marketing expertise, SQL, BI tools, Python, and a quantitative bachelor’s degree.

Leads qualitative and quantitative market research to generate customer and market insights that guide product, growth, and business strategy. Requires five years of healthcare market research experience, advanced analytical and presentation skills, and proficiency with Excel, PowerPoint, Power BI, and AI solutions.

Owns cloud and software cost visibility through forecasting, chargeback, anomaly monitoring, and automation. The role partners across engineering, product, finance, and accounting and requires 5+ years of analysis, budgeting, forecasting, and scripting experience, with strong Python, SQL, and AWS expertise.

Leads advanced analytics for product teams by analyzing complex data, designing experiments, building performance metrics, and delivering actionable recommendations. Requires 6+ years of experience, quantitative expertise, strong stakeholder communication, and proficiency in Python or R and SQL.

The Risk Analyst conducts company reviews, monitors payroll activity, investigates fraud, and analyzes emerging risk signals. The role requires 1–3 years of risk or fraud investigation experience, strong case-management and communication skills, and sound judgment in ambiguous situations.

Analyzes and improves healthcare data quality by investigating anomalies, managing issue resolution, testing data products, and implementing monitoring processes. Requires healthcare data expertise, SQL or Python proficiency, database testing experience, and strong analytical skills.

Investigates escalated payment accounts, identifies fraud patterns, and improves controls and workflows covering chargebacks, ACH abuse, wire disputes, and account takeovers. Requires at least one year of payments risk or fraud investigation experience and familiarity with payment systems.

Remote internship focused on annotating image datasets in CVAT for robotics and physical AI applications. The intern will perform quality checks, collaborate with AI/ML teams, and improve annotation workflows; the role is a six-month contract-to-hire opportunity.

Summer intern supporting payment fraud risk management through SQL analysis, dashboards, control evaluation, and actionable recommendations. Requires current study in a relevant field, hands-on SQL experience, and familiarity with dashboarding tools.

Supports People Analytics through employee-lifecycle analysis, dashboards, reporting automation, and executive insights. The internship requires analytical study, spreadsheet-based data analysis, clear communication, and responsible handling of confidential data.

Staff Credit Analyst role focused on credit forecasting, portfolio analytics, valuation, and risk capital analysis for lending and funding decisions. Requires 5+ years of relevant experience, strong SQL and programming skills, and the ability to translate complex analysis into actionable insights.

Own the credit performance analytics and investor reporting strategy for Upstart’s HELOC portfolio. The role requires 5+ years in financial services credit analytics, strong Python and SQL skills, data pipeline expertise, and the ability to communicate portfolio risk to investors and executives.

Own marketing performance measurement, experimentation, dashboards, and modeling to guide growth investment decisions. The role requires 3–5 years of analytics experience, strong SQL, marketing measurement expertise, BI reporting skills, and clear stakeholder communication.

Investigates fraud, analyzes emerging patterns and false positives, and develops operational and analytical controls to reduce financial and reputational risk. The role requires a bachelor's degree, 1–2 years of fraud or risk monitoring experience, strong analytical judgment, and basic SQL knowledge.

Analyzes loan-level quality, portfolio asset quality, and production model performance for unsecured lending. The role requires at least three years of experience in financial services or a related analytical risk function, plus proficiency with structured-data analysis and governance documentation.

Leads and scales an embedded product analytics organization, establishing rigorous standards for experimentation, modeling, reporting, and data quality. Requires 10+ years in analytics, substantial people leadership, advanced SQL and Python, and the ability to translate complex analyses into executive-level strategic decisions.

Senior Business Analyst supporting Reddit’s revenue strategy by building BigQuery data pipelines, semantic models, and dashboards for the Large Customer Sales channel. The role requires strong SQL, analytics, cross-functional collaboration, and the ability to translate complex data into measurable business outcomes.

Business intelligence analyst partnering with product and business leaders to build dashboards, standardize metrics, and translate complex data into actionable decisions. Requires 3+ years of quantitative analytics experience, advanced SQL, and at least 2 years of Tableau dashboard development.

Build and monitor pre-game and in-game sports player projections, manage risk through quantitative analysis, and support game-operations processes across leagues. The role requires strong DFS and sports-gaming knowledge, attention to detail, timely decision-making, and night/weekend availability.

The BI Analyst will analyze game operations, product, pricing, and user-performance data, translating findings into recommendations, dashboards, and reusable analyses. The role requires advanced SQL, visualization, and Excel skills plus experience in analytics, gaming, finance, or related domains.

Validates and monitors AML/CFT transaction monitoring, customer risk assessment, screening, and AI models while assessing regulatory compliance, model risk, performance, and bias. Requires a quantitative bachelor's degree, 3+ years of relevant experience, and proficiency in Python, R, and SQL.

Leads a team responsible for nonprofit customer data conversions, owning delivery quality, prioritization, team development, and cross-functional coordination. Requires analytics or conversion delivery experience, people leadership, SQL, Excel, and data validation skills.

Leads hands-on demand generation across LinkedIn, email, events, landing pages, and ABM campaigns to create measurable B2B pipeline. Requires 4–6 years of B2B technology marketing experience, strong commercial writing, and the ability to translate complex products into buyer-focused messaging.

Own fraud detection, payments operations, investigations, and risk strategy while leading cross-functional programs and launch assessments. The role requires 4+ years in payments, fraud, or risk operations, strong SQL and card-network expertise, and the ability to communicate decisions across technical and business teams.

Own end-to-end data analytics and infrastructure projects for SaaS customers, including migrations, reporting pipelines, dashboards, and business analysis. Requires 2–4+ years of analytics experience, expert SQL, dbt, BI tooling, and strong customer-facing skills.

Strategic marketing analytics manager-level individual contributor who connects customer, campaign, product usage, and revenue data to improve conversion and pipeline growth. Requires 7+ years of GTM analytics experience, advanced SQL, strong funnel and attribution expertise, and executive communication skills.

Senior Data Analyst supporting strategic finance through financial analysis, forecasting insights, automation, and self-service reporting. Requires strong SQL and visualization skills, 4+ years of analytical experience, cross-functional communication, and a bachelor’s degree.

The first dedicated marketing analytics hire will build the data foundation, measurement frameworks, dashboards, and experimentation capabilities connecting acquisition, product usage, and revenue. Requires 5+ years in marketing, growth, product analytics, data science, or another quantitative discipline, plus deep SQL and modern data-stack experience.

Senior Data Analyst supporting the Public Sector business by building scalable analytics solutions, defining metrics, improving data quality, and informing operational and financial decisions. Requires 6+ years of experience, advanced SQL, BI dashboard skills, and an active Secret clearance.

Design and maintain billing systems that transform patient engagement data into accurate, auditable invoice outputs using SQL, Python, and transformation workflows. Requires 3+ years in data operations/analytics within finance or healthcare systems, plus strong SQL and scripting skills.

Owns the company’s payor intelligence function by mapping complex payer entities and delegated relationships, governing policy data, and translating coverage realities into product requirements. Requires 5+ years across U.S. Medicare, Medicaid, commercial payors, and related healthcare arrangements.

Analyzes and improves search and answer quality by designing metrics, building evaluation and labeling pipelines, and validating changes through experiments. Requires 4+ years of analyst experience, production-grade coding skills, and proficiency in SQL and Python.

The Senior Data Analyst will analyze finance, accounting, and revenue data, build scalable SQL transformations and dashboards, and produce forecasts and recommendations for stakeholders. The role requires at least five years of financial analytics experience, advanced SQL and Excel skills, and Tableau expertise.

Senior Analyst owning end-to-end COGS, gross margin, and unit economics analysis for hardware/software products. Structure ambiguous executive questions, build models and datasets, deliver recommendations to CPO/CTO, and influence product/finance decisions in a fast-paced remote environment. Requires 7+ years experience, expert SQL, and strong autonomy.

Own retention and SaaS analytics for SpotOn’s merchant business, uncovering churn and adoption drivers and building trusted reporting for executive and cross-functional decisions. The role requires 5+ years of analytical experience, advanced SQL, cloud data warehouse expertise, and strong business communication.

Analytics intern supporting Strategic Analytics, Risk, or Business Planning & Analysis by researching business questions, analyzing data, and presenting actionable recommendations. Applicants should be quantitative students graduating between December 2027 and June 2028 with SQL, statistical methods, programming, and BI experience.

This role combines data analysis and dbt-based data modeling to improve growth, monetization, pricing, and product-led sales initiatives. It requires 8+ years in an analytical data role, strong SQL and dbt knowledge, and experience with data warehouses and ELT pipelines.

The Insights Strategist will analyze AI Search data, build recurring measurement systems, investigate changes in visibility and model behavior, and translate findings into product and customer recommendations. The role requires 5+ years of analytical experience, strong SQL, sound judgment, and excellent communication skills.

Senior Data Analyst building scalable financial data models, pipelines, dashboards, and governance systems for Finance and Accounting. Requires a bachelor’s degree, 5+ years of analytics experience, and strong SQL, Snowflake, dbt, and BI expertise.

Leads qualitative and quantitative market research in healthcare, translating customer, market, and competitive data into recommendations for product, marketing, and growth strategy. Requires five years of healthcare market research experience, advanced analytics, strong presentation skills, and proficiency with Excel, PowerPoint, Power BI, and AI solutions.

Monitors and trades sports player projections across pre-game and live markets, managing risk through quantitative analysis and adapting operations to sports schedules. Strong mathematical, analytical, and sports-gaming knowledge is required; DFS or sports-gaming experience is preferred.

Leads a team responsible for customer data quality, developing roadmaps, processes, outsourcing strategies, metrics, and dashboards while partnering with GTM, engineering, systems, and executive stakeholders. Requires 7+ years of relevant operations or consulting experience and strong analytical skills.

Lead analytics for Lyft’s airport marketplace by conducting product and business deep dives, defining health metrics, building dashboards and models, and influencing pricing, supply, and product decisions. Requires 4+ years of strategic analytics or data science experience, strong SQL, quantitative analysis, and cross-functional communication.

Build ETL pipelines, predictive models, dashboards, and scenario analyses to improve demand forecasting, inventory, supplier risk, and operational decision-making. The internship requires strong analytical skills, Excel proficiency, and pursuit of a relevant degree.

Supports analytics, KPI tracking, reporting, and structured data infrastructure across operational teams. The role maintains datasets, queries, dashboards, and recurring reports while helping stakeholders measure workforce and contractor performance consistently.

Senior Data Analyst partnering with Customer Success and Operations to improve retention, permit turnaround, and organizational scalability. The role requires strong SQL, BI modeling, data warehousing, dbt, and the ability to translate ambiguous business questions into actionable dashboards and metrics.

Staff Marketing Data Analyst serving as a strategic analytics partner to Marketing, leading acquisition measurement, attribution, experimentation, and ROI analysis. Requires 7+ years of analytics experience, a quantitative master’s degree, advanced SQL, and Python proficiency.

Senior Customer Insights Analyst serving as a strategic consultant to customers, using Fullstory data to deliver analyses, actionable recommendations, enablement, and data-maturity guidance. Requires consulting experience, strong presentation skills, and knowledge of marketing, SaaS, and eCommerce.

Analyzes complex healthcare supply-chain data using SQL and Python, builds trusted dashboards, and translates ambiguous business questions into actionable recommendations. Requires 3+ years of analytics experience, strong relational database skills, and clear communication with technical and non-technical stakeholders.

Senior operator responsible for scaling ads Trust & Safety operations through analytics, dashboards, capacity planning, data-quality mechanisms, and AI-assisted automation. Requires 8+ years of relevant experience, strong SQL, and the ability to turn ambiguous cross-functional problems into operational decisions and scalable systems.