Top Data & Analytics Jobs

The Data Operations Analyst manages data integrity and operations, supports data conversion for mergers and acquisitions, and documents policies and processes.

The role involves interpreting, validating, and structuring private equity investment data, collaborating with teams, and communicating with investment managers, while improving internal processes and data standards.

The Data Support Analyst will provide support for project tools and data, manage project financials, and prepare management reports.

The Sr Data Systems Analyst will conduct data analysis, develop business intelligence solutions, and lead projects while mentoring the team.

The Data Modeler or Analyst role involves modeling data using Oracle and Erwin, focusing on data warehousing with fact and dimension tables. Requires 5-7 years of relevant experience.

The Sr. Data Analyst will utilize industry knowledge to analyze data, develop solutions, and support customers globally, focusing on delivering high-quality IT services.

Seeking a Sr. Data Analyst with 5+ years in data analysis, strong SQL skills, and healthcare industry experience. Responsibilities include data mapping and analysis.

Seeking a Sr. Data Analyst with 5+ years experience in data analysis, particularly in the healthcare sector, with strong SQL skills.

The Data Modeler/Analyst will collect, organize, and interpret data. Responsibilities include data profiling, modeling, visualization, and documenting mappings, alongside ensuring data governance compliance.

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

Partner with Sales, RevOps, Marketing, and Customer Success to connect the full revenue funnel. Produce GTM insights using advanced analytics, SQL, and BI tools; communicate findings to stakeholders; standardize Data team processes; mentor analysts and lead data-driven initiatives to drive business outcomes.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Senior Data Analyst will manage client-facing analytics, build dashboards, partner with Customer Success, and leverage AI tools for reporting.

Own the conversion of raw alternative datasets into scalable, AI-ready data products. Define methodologies, metric definitions, and guardrails for AI-driven insights. Partner with engineering, product, and customers to expand use cases, ensure data quality, validate changes, and manage incidents to deliver reliable, explainable data products at scale.

Lead analytics and evaluation for search and retrieval systems: define measurement strategies, run experiments, analyze ranking and user behavior, build dashboards, ensure data quality, and partner with product, data science, and engineering to improve relevance and retrieval performance.

Design and maintain Looker/LookML data models and dashboards, perform end-to-end SQL analysis, ensure data quality with Data Engineering, build predictive models, and translate findings into actionable recommendations for cross-functional stakeholders.

The Data Operations Analyst will manage projects supporting AI model development, collaborating with teams to ensure project success and deliver high-quality datasets.

Build scalable, production-ready data solutions and automations. Perform ad-hoc and deep-dive analyses using Python, PySpark, and SQL. Collaborate cross-functionally, use Databricks and Tableau to generate insights and optimize client marketing performance.

Build scalable, automated data solutions and perform ad-hoc quantitative analyses to identify and forecast trends. Collaborate cross-functionally to optimize client marketing performance using Python, PySpark, and SQL, and produce insights and dashboards with Databricks and Tableau.

The Junior Data Analyst analyzes data, creates reports, maintains databases, identifies trends, collaborates with teams, and documents processes to support decision-making.

The Senior Data Analyst will analyze digital marketing campaigns, leverage data sources for business decisions, and communicate insights effectively to improve performance and support Media Partners.

Build and maintain Finance reporting (Power BI), data models and warehouse connections; deliver ad-hoc financial analysis; validate cross-functional reports; support month-end close and automate reporting and close processes to reduce manual work and risk.

Build, QA, and maintain custom audience segments and automations; run complex SQL to extract, analyze, and validate large datasets; ensure data quality and policy compliance; manage requests end-to-end in Salesforce; troubleshoot and document technical issues; advise stakeholders on audience design; contribute to process and tooling improvements across global teams.

Lead development of scalable audience and measurement products across brands and platforms. Build dashboards, KPI frameworks, and analyses to quantify content discovery, AI-driven consumption, identity resolution, and advertising effectiveness. Partner with Product, Engineering, and business stakeholders to translate large-scale data into actionable insights and drive enterprise decision-making.

Lead data cleansing, validation, and certification for ERP data conversion. Produce auditable validation results, triage and resolve data issues, document evidence for certification, and collaborate with cross-functional teams to ensure data quality throughout the conversion lifecycle.