Leads marketing analytics for global performance campaigns by developing measurement approaches, optimizing acquisition through data, and translating complex analyses into actionable marketing decisions. Requires a STEM bachelor’s degree, strong SQL and visualization skills, and experience with digital campaign data.

Own the analytics foundation for a fintech business by building trusted dbt and Databricks data products, semantic metrics, dashboards, and quality standards. The role requires 7+ years of analytics engineering experience, expert SQL and dbt skills, and practical daily use of AI coding tools.

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.

Own analytics end to end for a business-critical function, building scalable data models, pipelines, dashboards, and strategic insights. The role requires 4–8 years of analytics experience, strong SQL and analytics engineering skills, and the ability to influence cross-functional decisions.

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 Reliability Analyst builds configuration-aware reliability datasets, metrics, dashboards, and reporting for complex aircraft systems. The role analyzes failures and maintenance data, identifies fleet degraders, and supports corrective-action decisions across engineering, quality, and fleet-support teams.

Manages alternative-investment data operations, including security-master oversight, workflow controls, document interpretation, and high-volume data validation. The role requires investment-industry knowledge, strong SQL and Databricks/PySpark skills, and the ability to troubleshoot ingestion pipelines and apply AI tooling.

Investigates and mitigates escalated payments fraud across fiat payment rails, analyzing risk patterns and improving detection and operational processes. Requires 3+ years of payments risk or fraud experience, SQL proficiency, and willingness to work shifts in an in-office Hyderabad role.

Leads data strategy and operations for frontier AI research, including vendor partnerships, data pipelines, evaluation frameworks, and quality standards. Requires at least 3 years of operations, consulting, product, or program management experience and familiarity with AI training or LLMs.

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.

Own growth and product analytics for activation, retention, expansion, and monetization, using experiments, SQL, AI automation, and product analytics tools. The role partners cross-functionally to turn insights into pricing improvements, product changes, and shipped growth initiatives.

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.

Analyzes transaction enrichment performance, investigates data-quality anomalies, and builds dashboards and monitoring to improve product accuracy and reliability. Requires 3–5 years of analytical experience, strong SQL and Python, and experience with BI and automated alerting.

Leads Finance Analytics strategy, team development, scalable data products, and AI-powered workflows that improve financial decision-making and operational efficiency. Requires 8+ years in analytics or data engineering, people management experience, strong SQL/Python skills, cloud data-platform expertise, and Finance domain 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 workforce data, builds dashboards, performs statistical and predictive analysis, and applies NLP and generative AI to employee feedback. Requires a bachelor's degree and 3–5 years of analytics experience, with strong SQL, Tableau, Snowflake, and HR-platform expertise.

The Business Analyst owns operational reporting and strategic analysis for Technical Services, partnering with Finance, Analytics, and other teams to identify trends and deliver actionable recommendations. The role requires 5+ years of analytics experience, Python or SQL proficiency, Salesforce reporting, and Tableau dashboard expertise.

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.

The Senior Data Analyst will build People analytics models, metrics, dashboards, and decision frameworks across the employee lifecycle. The role requires 5+ years of analytical experience, advanced SQL and data modeling, strong business intelligence skills, and excellent stakeholder communication.

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.

The Senior Data Operations Analyst will perform quality assurance, analyze large datasets with SQL, maintain process documentation, and collaborate across teams to improve operational accuracy. The role requires a bachelor’s degree or equivalent experience, 2–3 years in a technical data-related role, and exceptional attention to detail.

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.

Leads analytical practice within the BI team by developing trusted data products, dashboards, forecasting, and actionable insights for Product and Commercial stakeholders. The role requires 5+ years of analytics experience, advanced SQL and Python, dbt expertise, and strong stakeholder and mentoring skills.

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.

Develops rigorous revenue attribution, forecasting, and financial models while building scalable analytical infrastructure for Finance and executive decision-making. Requires 4+ years of analytical experience, advanced SQL and data modeling, strong quantitative reasoning, and business intelligence expertise.

Analyzes and improves enterprise marketing systems, campaign data, automation workflows, and experimentation programs. The role requires 5–10 years of marketing systems experience, hands-on Marketo and Salesforce expertise, strong reporting and stakeholder-consultation skills, and a bachelor's degree or equivalent experience.

Evaluates AI outputs and maintains benchmark datasets to improve response quality, failure-mode analysis, and release readiness. Requires 3–5 years in data labeling, analysis, QA, or related work, plus experience with AI/ML systems, SQL, and structured qualitative evaluation.

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 Data Analyst I will produce and automate client-facing healthcare reports, investigate complex business questions, and deliver actionable insights in partnership with client-facing and data engineering teams. The role requires 1–2 years of analytics experience, SQL at scale, and hands-on experience with Snowflake or a comparable warehouse.

Develops workforce dashboards, predictive models, and AI-enabled insights across the employee lifecycle. The role requires a quantitative bachelor's degree, 5–8 years of relevant analytics experience, and expertise in SQL, Python or R, visualization, statistical modeling, and HR data platforms.

Leads multichannel B2B demand generation and ABM campaigns for the mid-market segment, partnering with sales and marketing teams to drive pipeline. Requires 5+ years of experience, strong campaign analytics, and proficiency with Salesforce, marketing automation, and campaign operations tools.

Leads monetization and expansion analytics across a B2B SaaS product suite, including ARPU modeling, cross-sell optimization, predictive model operationalization, and pricing experimentation. Requires 8+ years of analytical experience plus expert SQL/Python and Snowflake/dbt expertise.

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.

The role partners with cross-functional teams to translate business needs into data problems, build pipelines, metrics, dashboards, and reports, and deliver actionable recommendations. Candidates need a relevant bachelor’s degree with three years of experience or a master’s degree with two years, plus SQL proficiency.

Senior Data Analyst embedded with business teams to deliver SQL-driven insights, dashboards, and ad-hoc analyses that drive decisions across member experience, finance, and investments.

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.

Analyzes inventory data and controls for data center and supercomputer operations, maintaining accuracy, traceability, stock levels, and material flow. The role requires 4+ years of inventory experience, SQL proficiency, advanced Excel skills, and onsite warehouse or data center work.

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.

Build AI agents, semantic layers, and workflow automations that replace traditional finance BI at Snowflake. Design prompts/skills in CoCo, develop Python/SQL pipelines and Streamlit apps, own semantic models, and deliver earnings/reporting automation for Strategic Finance. Requires daily LLM coding assistant experience, strong Python/SQL, and finance analytics background.

Analyzes and validates autonomous-vehicle datasets, monitoring annotation quality, coverage, anomalies, and behavioral edge cases. The role requires Python and database-analysis skills, strong attention to detail, a relevant technical degree, and practical driving experience.

Leads end-to-end healthcare analytics consulting projects, translating client questions into analyses, managing stakeholders, and delivering data-driven insights. Requires 8+ years of healthcare analytics experience, quantitative training, project leadership, strong communication, and SQL, Python, or R proficiency.

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.

Leads Addepar’s globally distributed Analytics function, setting strategy, advancing BI and data-platform maturity, and driving governance and AI-ready data outcomes. Requires 12+ years of relevant experience, including significant analytics leadership, global SaaS experience, and deep data-platform expertise.

Owns end-to-end GTM analytics and modeling initiatives, turning complex sales data into forecasting, segmentation, territory, and prioritization solutions. The role requires advanced SQL and Python, statistical or machine learning experience, strong stakeholder communication, and approximately 4–7+ years of relevant experience.

The Senior Strategic Sourcing Data Analyst will turn procurement data into insights that improve savings, working capital, supplier performance, and operational efficiency. The role requires 5–7 years of analytics experience, advanced visualization and SQL skills, and familiarity with procurement systems such as Coupa and SAP.

The Strategic Sourcing Data Analyst analyzes procurement data, builds reporting and predictive models, and develops AI-enabled workflows to improve sourcing decisions, cost savings, and operational efficiency. The role requires 2–4 years of analytics experience, strong SQL and visualization skills, and familiarity with procurement systems.