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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Owns payment reconciliation and financial reporting workstreams, building SQL-based controls, dashboards, metrics, and automated solutions across card networks, banks, processors, and internal ledgers. Requires 5+ years of relevant experience, expert SQL, accounting knowledge, and strong stakeholder-management skills.

Leads the Marketing Insights function, integrating behavioral data, research, cultural intelligence, and market signals to shape audience strategy, positioning, campaigns, and investment. Requires 8+ years of insights or related experience, executive influence, and a track record of building high-performing teams.

The Director of Analytics & Reporting will build and lead a hands-on, centralized analytics function for value-based cardiology contracts, owning metric definitions, semantic data models, payer reporting, and executive dashboards. The role requires 8+ years of healthcare analytics experience and deep expertise in claims, clinical, and value-based care data.

Analyzes, validates, and reports on operational data while supporting UK and European clients with data-related issues. The role requires strong SQL, BI, database, reconciliation, and communication skills, with at least two years of relevant experience.

Leads a hands-on GTM analytics team supporting Marketing, Sales, and Customer Operations through trusted reporting, forecasting, experimentation, and self-service automation. Requires 6+ years of analytics experience, at least 1 year of team management, strong SQL, GTM expertise, and advanced analytical judgment.

Analyzes talent acquisition data, builds recruiting dashboards, and leads cross-functional process and system improvements. The role requires 5+ years in recruiting or business analysis, hands-on AI use, and experience with ATS, HRIS, and reporting tools.

Analyzes high-volume transactional data to identify fraud trends, quantify risk, and improve fraud controls while protecting legitimate players. The role requires advanced SQL, dashboarding and visualization skills, fraud or risk analytics experience, and strong communication with cross-functional stakeholders.

Own the measurement and improvement of technical interview content quality through analytics, dashboards, AI automation, and root-cause analysis. The role requires 6+ years in analytics or strategy, strong SQL and large-scale data expertise, executive communication, and residence in Mexico City.

Owns medical economics analytics and clinical impact reporting for value-based care contracts, translating claims and utilization data into defensible insights for executives, payers, and partners. The role requires 4+ years of relevant experience, SQL and communication proficiency, CMS model familiarity, and a bachelor’s degree.

Own product performance dashboards and metrics across healthcare revenue cycle products, using SQL, Python, and AI-assisted development to identify product issues and explain customer-facing trends. Requires 4+ years of analytics experience, strong communication, and a customer-focused product mindset.

Leads advanced analytics that shape product and business decisions, developing trusted data models, dashboards, data products, and AI-enabled reporting. Requires 8+ years of analytical experience, strong SQL and dbt expertise, data storytelling ability, and cross-functional leadership.

Analyzes complex business and financial data, builds automated reporting tools, and delivers actionable insights to stakeholders across the company. Requires 1–3 years of analytical experience, strong SQL and quantitative skills, and a bachelor's degree in a quantitative field.

The Media Monitoring Specialist validates coverage, writes editorial summaries, manages search strategies, and produces media analysis and dashboards for clients. The role requires media-content experience, strong analytical and communication skills, English plus another European language, and proficiency with Excel.

Own product and customer analytics across financial product experiences, turning behavioral data and customer feedback into roadmap recommendations and business decisions. The role requires 4–8 years of analytics experience, advanced SQL, strong analytical judgment, and daily fluency with AI-powered tools.

Own credit and product analytics for consumer liquidity products, shaping underwriting strategy, portfolio risk policies, and new product launches. The role requires 4–8 years of credit analytics experience, advanced SQL, AI capabilities, and strong quantitative problem-solving skills.

The Product Analyst will analyze customer behavior and product performance across HighLevel’s Lead Generation suite, building metrics, dashboards, experiments, and actionable recommendations. The role requires 1–3 years of analytics experience, strong SQL, and proficiency with product analytics or BI tools.

Senior Data Analyst supporting Sales, Marketing, and Customer Success through GTM analysis, data modeling, and decision support. The role requires 5+ years of analytics experience, expert SQL and dbt, Python, Salesforce, and familiarity with modern BI and AI-assisted workflows.

Analyzes regional marketing performance, develops data-driven recommendations for leadership, and communicates insights that guide strategy and revenue growth. Requires at least five years of analytical experience, analytics-tool fluency, and experience with AI products.

Designs and delivers enterprise analytics tracking solutions across web, mobile, and app platforms, serving as a technical subject matter expert for clients and consultants. Requires deep Tealium expertise, strong JavaScript skills, and at least three years of analytics implementation experience.

Analyzes Talent Acquisition and workforce data to identify trends, improve hiring effectiveness, and inform People and business-leader decisions. The role requires 3+ years of HR-focused analytics experience, SQL and advanced Excel proficiency, and strong stakeholder communication.

Improves Salesforce sales-data integrity through SQL analysis, automated monitoring, enrichment validation, segmentation, and account-hierarchy management. The role partners with Sales, Revenue Operations, and GTM Strategy stakeholders to translate data issues into prioritized remediation and business insights.

Performs actuarial and financial analysis for value-based healthcare contracts, using claims data, SQL, forecasting models, and statistical methods to evaluate performance and support payer partnerships. Requires a quantitative bachelor's degree, ASA or near-ASA credentials, and at least two years of healthcare actuarial experience.

Leads a team delivering product, customer, and business performance analytics across Fetch’s Shoppability portfolio. The role combines analyst management with hands-on work in measurement, experimentation, customer journeys, commercial performance, and cross-functional decision support.

The Data Analyst supports Product Analytics and the Client Group by reconciling cross-system billing data, resolving discrepancies, and building durable data-quality controls and reporting. The role requires advanced Excel, strong SQL, and 5+ years of analytics, data, or finance-operations experience.

Leads advanced analytics for Customer Support, partnering with product and operations leaders to improve community and agent experiences through metrics, experimentation, causal inference, and scalable data tools. Requires 8+ years of business analytics experience and strong SQL plus Python or R expertise.

Own end-to-end marketing analytics, funnel measurement, and ROI analyses while translating Media Mix Modeling outputs into budget, channel, and campaign decisions. The role requires 6+ years of analytics or data science experience, strong Python and SQL skills, statistical grounding, and senior stakeholder influence.