Analyzes GTM data across sales, pipeline, and operations to drive strategy, growth levers, and performance insights. Partners with leadership using SQL, BI tools, and Salesforce to deliver dashboards and recommendations. Requires 5+ years in analytics.

Designs and configures real-time charging, rating, and pricing models in SAP Convergent Charging for ride-share operations, including surge pricing, subscriptions, and integrations with billing systems. Requires 8+ years SAP BRIM experience with usage-based charging expertise.

Analyzes operational, product, and financial data to identify trends, build dashboards, and support cross-functional teams in optimizing fintech processes like fraud, risk, and rewards. Requires 3-7 years experience with SQL, Python, AI tools, and dashboarding.

Forecasts demand and plans capacity for global community support operations using advanced statistical models and analytics. Partners with stakeholders to optimize resources, service levels, and costs in a multi-channel contact center environment. Requires 10+ years in forecasting/workforce analytics and strong Python/SQL skills.

Analyzes revenue operations data using SQL, BI tools, and Salesforce to support sales forecasting and business decisions. Requires 5+ years in tech Sales/RevOps, Snowflake experience, and AI workflow integration.

Leads market insights analysis for Lyft's top regions, identifying marketplace gaps and opportunities using data. Partners cross-functionally to develop and execute business and product strategies. Requires 3+ years in analytics/consulting, SQL proficiency, and strategic thinking.

Manage a team of data scientists building fraud detection models and financial risk products, providing technical leadership, mentoring, and end-to-end ownership from development to production. Requires 10+ years experience, strong ML skills, production coding, and startup background.

Analyzes large-scale data, builds dashboards and visualizations, and translates stakeholder needs into reliable data solutions. Requires 3+ years of experience, Python and SQL proficiency, Snowflake or Databricks expertise, and a relevant bachelor's degree.

Junior analyst partnering with stakeholders to solve business problems using SQL, Python/R for data analysis, delivering executive recommendations, and building BI dashboards. Requires recent STEM grad with internship experience in quantitative analysis.

Lead analytical efforts for servicing initiatives, partnering with product, operations, and engineering teams to drive insights, optimize recoveries/collections strategies, design A/B tests, and build BI pipelines. Requires 8+ years in analytics, proficiency in SQL/Python, and experience with large datasets.

Drives strategic initiatives in product pricing and monetization through analytics, operations, and cross-functional partnerships. Requires 2-5 years experience in strategy/ops, SQL proficiency, and strong communication skills.

Leads financial data workflows, transforming raw data into actionable insights via SQL, Python, and BI tools. Builds models, dashboards, and reports for executives while partnering with engineering teams. Requires 4-7 years experience, expert Excel/SQL, and finance fluency.

Leads end-to-end delivery of complex healthcare analytics projects, translating business questions into data insights, managing client relationships, and driving team performance. Requires 8+ years in healthcare analytics, proficiency in SQL/Python/R, and strong project management skills.

Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in fintech. Requires 3+ years experience.

Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in a hybrid fintech role.

Leads analytics strategy, builds data pipelines and dashboards, owns metrics and data quality for business decisions. Requires 5+ years BI experience, expert SQL, data warehouse and BI tool proficiency.

Data Science Analyst automates data-driven tasks, performs ad-hoc analysis using Python, PySpark, SQL to forecast trends and optimize marketing performance. Requires bachelor's degree and 1-2 years experience in data manipulation.

Lead merchant analytics initiatives by scoping data analyses, interfacing with partners, and driving insights that improve product strategy and marketplace optimization. Requires 5+ years in data analytics or quantitative consulting with strong SQL skills.

Lead data analysis and merchant partner relationships to quantify Upside's business impact, drive product insights, and support strategy. Requires 2+ years in analytics/consulting, strong SQL skills, and excellent communication.

Analyzes financial crimes data to optimize transaction monitoring rules, investigates risk patterns, and builds dashboards for compliance teams at a fintech payments company. Requires 2+ years in risk/fraud analytics, strong SQL, and blockchain tools experience.

Leads end-to-end delivery of healthcare analytics projects using real-world data, manages client relationships, and drives insights in areas like patient journeys and market analysis. Requires 3-6 years experience, quantitative degree, and proficiency in SQL/Python/R.

Senior Analytics Engineer to own analytics transformation layer, data models, and metrics. Build trusted data foundations using dbt and modern warehouses to power insights for stakeholders across the company.

Leads data strategy and analytics for Block's Compliance team, focusing on Financial Crimes and AML. Delivers actionable insights to leaders and regulators using SQL, ETL, and visualization tools; requires 8+ years experience.

Analyzes Attentive's AI products across lifecycle, partnering with PMs and engineers to measure impact via A/B tests, uncover insights, and recommend roadmap changes. Requires 4+ years in analytics, SQL expertise, and stats knowledge.

Analyze player behavior data for ChessKid to drive growth and monetization through insights on retention, engagement, and experiments. Collaborate with product and business teams using Amplitude, BigQuery, SQL, and Python.

Leads establishment of measurement practice for creator marketing, defining ROI frameworks, advising top brands on MMM/incrementality/attribution, and driving product roadmap for scalable analytics.

Builds analytical metrics, dashboards, automations, and reporting systems for risk and broader business decisions. The role requires strong SQL and Python skills, sound data modeling, business judgment, and the ability to solve ambiguous problems independently.

Build analytics foundation for Deepgram's voice AI platform, owning self-serve growth strategy, experiments, and dashboards using SQL, Superset, and Heap. Partner with product team to drive API adoption and inform strategic investments.

Owns GTM data quality, integrates third-party data into CRM like Salesforce, builds dashboards, and manages territories. Requires 3+ years in RevOps/Sales Strategy, 5+ years SQL, and bachelor's degree.

Data Analyst responsible for complex data exploration, advanced modeling, metric definition, experimentation, and translating healthcare data into strategic insights for product and business leaders. Requires 5+ years experience, deep SQL and Python/R skills, statistical expertise, and strong communication.

The Data Operations Analyst ensures operational data accuracy through quality assurance, SQL-based analysis, process documentation, and cross-functional issue resolution. The role requires a bachelor's degree or equivalent experience, strong attention to detail, and comfort working an overnight schedule.

Curates structured datasets on companies, people, and networks using investigative research in English and Chinese sources. Partners with engineering for data quality and supports customers on supply chain intelligence, requiring 4+ years in investigations or due diligence.

Product Analyst conducts quantitative analysis for sports, media, and marketing products, developing KPIs, analyzing data with SQL/Python, and providing insights to business and client teams. Requires 1-3 years analytics experience and strong communication skills.