Top Data & Analytics Jobs

Design and maintain company-wide dashboards, define KPI frameworks, implement tracking and data governance, write advanced SQL, partner with product and engineering, build predictive/AI-ready data layers, automate reporting, and present insights to leadership to drive operational and financial improvements.

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

The Senior Data Analyst will own analytics projects, design data models, build dashboards, and deliver insights using SQL and various BI tools.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.

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.

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.

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 at Orion180 will develop data pipelines, implement predictive models, and create visualizations while collaborating across teams to improve decision-making and insights.

Perform end-to-end marketing analytics: define and maintain KPIs, run SQL analyses, build Tableau dashboards, apply diagnostic and predictive techniques, and present actionable insights to marketing and product stakeholders to improve campaign performance and operational efficiency.

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.

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

The Senior Data Analyst will manage data quality and governance for regulatory compliance, build data marts, and optimize data models for performance and scalability. This role includes supporting regulatory exams, establishing monitoring for data feeds, and translating regulatory requirements into data flows.

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.

Independently validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses and reporting. Lead incident investigations, root cause analysis, test strategy, automated validation, regression and non-functional testing, data governance metrics, regulatory validation, and stakeholder collaboration to drive continuous improvement in data quality and controls.

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.

Partner with Product, Engineering, and Marketing to lead product and marketing analysis, experimentation, and causal inference. Design analytical frameworks, own end-to-end projects, connect product outcomes to revenue and LTV, and craft executive-level data storytelling to drive acquisition, engagement, retention, and growth.

Support definition, validation, testing, and stabilization of mission-critical data integrations and interfaces across source systems, staging, transformation layers, and reporting platforms. Perform source-to-target validation, reconciliations, interface testing, cutover readiness, production stabilization, issue triage, and documentation to ensure accurate federal financial reporting.

Design, build, and maintain Workday integrations, data architectures, and reporting to support workforce planning and finance alignment. Deliver analytics, self-service reporting, and AI-enabled insights; partner with HR, Finance, and IT to enable accurate headcount forecasting, labor cost analysis, and automation of people-data processes.

Analyze and report on inclusion, diversity, equity, and engagement data. Provide insights to support IDE&E programs, and prepare presentations for executive leadership.

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