Analyzes bikeshare operations and performance data, develops reporting frameworks and dashboards, and presents actionable insights to cross-functional partners and leadership. Requires SQL proficiency, quantitative analysis, strong problem-solving skills, and current enrollment in a relevant bachelor’s or master’s program.

Leads and coaches AI Tutors while owning the quality, delivery, and operational improvement of Human Data projects. Requires hands-on data labeling or AI evaluation experience, people leadership capability, and strong process and metrics management.

Leads distributed AI Tutor teams and owns the quality, delivery, and operational improvement of human data projects. Requires hands-on annotation or AI evaluation experience, people leadership, data-quality expertise, and familiarity with project and collaboration tools.

Analyzes geopolitical, security, and emerging-event risks across the Americas using OSINT and multiple intelligence sources. The role produces actionable alerts and recurring reports, requiring 3–5 years of relevant analytical experience, strong writing and judgment, and professional Spanish reading proficiency preferred.

Analyzes emerging risks, geopolitical developments, and planned events across the Americas using OSINT and multiple intelligence sources. The role produces actionable alerts and assessments for customers and requires 3–5 years of analytical experience plus bilingual English/Spanish fluency.

Entry-level Data Analyst supporting payer, clinical, and operational reporting for a value-based cardiology business. The role builds dashboards, validates data, maintains workflows, and investigates performance trends using Excel, SQL, and BI tools.

Build scalable customer success analytics systems, dashboards, data pipelines, and AI-driven QA workflows. The role requires advanced SQL, strong data modeling and governance skills, 3–5+ years of relevant experience, and the ability to translate complex analyses into operational decisions.

Senior GTM Analytics Analyst partnering with marketing leadership to drive acquisition, expansion, pipeline, conversion, and campaign ROI decisions. The role requires 5+ years of analytics or BI experience, advanced SQL, dbt, Snowflake, Python, marketing technology expertise, and strong executive communication.

Analyzes product and customer data to develop metrics, evaluate features, inform pricing and monetization, and communicate actionable insights across the business. Requires 2+ years in an analytical role, advanced SQL, and experience with product analytics or data science.

Researches and validates firmographic and executive contact data for a sales intelligence database, maintaining high data-quality standards and improving workflows through AI-driven automation. Requires 7–10 years of data research experience, corporate-structure knowledge, analytical skills, and mentoring experience.

Maintains and audits doctor and healthcare-institute data by combining multiple sources, validating records, and resolving discrepancies. Requires a bachelor’s degree, at least two years of experience, strong SQL and spreadsheet skills, and exceptional attention to detail.

Build and manage finance-focused data pipelines, integrations, ontologies, applications, and dashboards on Palantir Foundry. The role requires strong data analysis and visualization experience, Databricks or similar platform expertise, and proficiency with PySpark and TypeScript.

Builds production-grade data models, pipelines, dashboards, and analytics products for global-market initiatives. Requires 6+ years of analytical or data engineering experience, strong SQL and programming skills, distributed data frameworks, and workflow orchestration expertise.

Build and govern CX data pipelines, models, dashboards, and analytical frameworks while partnering with business and technical leaders. The role requires 3+ years in analytics, data engineering, or governance, plus strong SQL, Python, statistical, data modeling, and AI-assisted analytics experience.

Own product analytics, experimentation, instrumentation, KPI reporting, and data pipeline strategy while partnering with product and business leadership. The role requires 3–5 years of product analytics experience or a master’s degree in statistics or a related field.

Leads consumer and commercial insights across EMEA, translating mixed-method research and platform data into strategic narratives for advertisers, marketers, and senior stakeholders. Requires 7+ years of research, analytics, consulting, or strategy experience plus German and English fluency.

Own recurring marketing and commercial performance reporting, dashboards, ROI analysis, and data quality for marketing leadership. The role requires 7+ years of relevant analytics or operations experience, strong SQL and Tableau skills, and fluency in Salesforce and B2B funnel metrics.

Senior Data Analyst building cloud-based data transformation pipelines, data products, quality controls, and visualizations for enterprise insurance partners. Requires 5+ years of experience, advanced SQL, data modeling, and hands-on analytics engineering practices.

Student worker supporting vehicle engineering dashboards by gathering stakeholder requirements, analyzing data and platform gaps, coordinating dashboard distribution with IT, and documenting findings. Requires current enrollment in a relevant bachelor’s or master’s program and onsite availability.

Part-time student worker analyzing autonomous-fleet data, building operational dashboards, and developing KPIs for operations, safety, and engineering teams. Requires enrollment in a relevant bachelor’s or master’s program, SQL proficiency, and at least 20 hours per week for a minimum three-month assignment.

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 complex data, develops metrics and dashboards, and partners with leadership on strategy, planning, forecasting, and operational performance. Requires 8+ years in analytical or strategic roles, expert SQL, and strong stakeholder communication skills.

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.

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.