Top Data & Analytics Jobs

Analyze interview and exercise transcripts to extract structured qualitative findings using NLP and qualitative methods (thematic coding, discourse analysis). Conduct sentiment analysis, produce written reports and visualizations, collaborate with data and readiness teams, and support data/knowledge management practices.

Analyze purchasing opportunities and market trends to prevent stock outs and pricing losses. Collaborate with QC and sales, create purchase orders, produce regular reports, and support data-driven decision making.

The Senior Marketing & Data Analyst will lead complex analytics projects, perform data analysis and reporting, ensure data integrity, and provide actionable insights based on market data to optimize business processes and inform decision-making.

As a Data Technologist, you manage client data intake, sanitization, and organization, collaborating with engineering teams to ensure accurate data processing and quality assurance.

Lead strategic analytics and partner with senior leadership to drive growth, margin, and retention initiatives. Build interactive reporting (Python/Streamlit, BigQuery-connected Google Sheets), perform deep EDA in Jupyter, model and clean data with SQL and dbt, integrate secure AI-assisted tools and automation, ensure analytical quality, and translate insights into measurable business outcomes.

Transform Medicare/CMS claims into reproducible measures and benchmarks for Home Health and Hospice. Build and optimize SQL-based extracts in BigQuery, translate CMS methodologies into analytics, validate metrics against CMS benchmarks, investigate data quality, prepare outputs for BI tools, and collaborate with product and engineering teams.

As a GTM Data Analyst, you will provide insights for upper funnel initiatives, measure brand marketing effectiveness, analyze engagement, and collaborate cross-functionally for informed marketing strategies.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Supports portfolio governance, enterprise architecture, technology finance, and IT delivery initiatives. Helps define business problems, develop AI solution frameworks and roadmaps, gather requirements, analyze data, test and deploy tools, document changes, and support Agile delivery. Collaborates with product owners, business users, developers, and testers to improve processes and inform leadership decisions.

Own merchant retention and SaaS analytics, identifying drivers of churn, retention, and software adoption. Build trusted metrics, dashboards, data models, and scalable reporting used by executives and cross-functional teams. Partner with Product, Customer Success, Finance, Sales, and Engineering to translate complex analyses into business recommendations, measure retention initiatives, and automate recurring workflows using data and AI tools.

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

Develop dashboards, visualizations, and executive reporting to analyze programmatic and policy data. Validate metrics, maintain data quality, coordinate with stakeholders, and support data literacy through training and documentation.

Designs and maintains interactive dashboards, reports, and visualizations using business intelligence tools. Translates complex data into actionable insights, analyzes trends and performance metrics, gathers stakeholder requirements, ensures reporting accuracy, establishes visualization standards, and presents findings through data storytelling. Collaborates with analysts, engineers, and business teams to improve data accessibility, usability, and dashboard performance.

Manage operations and quality assurance for the Enterprise Data & Analytics Platform and its technology toolchain, including new capabilities and transitioning legacy systems. Support platform administration, reporting, data engineering, database constructs, visualization, stakeholder communication, presentations, problem-solving, and competing priorities. The role requires maintaining platform quality, collaborating across teams, and aligning delivery with the organization’s data and analytics strategy.

Partner with stakeholders and data engineers to design, validate, and deliver data solutions. Develop and optimize SQL queries, perform data profiling and quality testing, document data models and mappings, troubleshoot data issues, and produce actionable analytics and reports. Promote data governance, metadata management, and continuous improvement, including leveraging AI tools to streamline analytics.

Own end-to-end analytics projects, from framing ambiguous business questions through delivery and adoption. Develop SQL datasets, define KPIs and metrics, build production Tableau dashboards, validate and document analyses, and communicate insights to technical and non-technical stakeholders. Analyze customer behavior, including retention, churn, cohorts, lifetime value, and segmentation, while partnering cross-functionally to support business decisions and maintain reliable sources of truth.

Leads the design and delivery of scalable analytics solutions using Azure Databricks, Power BI, and related platforms. Transforms and validates structured and unstructured data, applies statistical techniques, develops dashboards and analytical models, and implements data governance and quality processes. Partners with business and technology stakeholders to translate requirements into technical solutions, provides peer guidance, monitors data trends, and communicates actionable insights to technical and non-technical audiences.

Analyze product and business data to generate actionable insights, conduct hypothesis-driven investigations and A/B tests, build business intelligence dashboards and alerts, recommend analytics tools, and track lifetime value and cohorts. The role partners with developers, the Head of Growth, and executive leadership to influence product strategy and live operations.

Develop and maintain data models, semantic layers, dashboards, and Python- and SQL-based reports for claims analytics. Analyze operational performance, investigate root causes, and provide actionable recommendations to leadership. Collaborate with engineering, operations, and other stakeholders to translate source systems into standardized data models and deliver effective analytical solutions. Communicate findings through clear writing and presentations while helping shape a growing data team.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Lead product analytics to measure and improve product and platform performance. Build data solutions and self-service tools, perform BI and visualization, mine diverse data sources, ensure data quality, lineage, and governance, and collaborate with product, tech, and design teams to deliver AI-enabled insights that inform strategy.

Manage and steward enterprise master data, metadata, reference and content/document management systems. Maintain the metadata repository, create training and documentation, support data governance councils, assess non-technical impacts of policy changes, ensure compliance, and support standardized reporting and MDM strategy and processes.

Design and implement logical and physical data models, extract/migrate and stage large datasets, perform data integration/matching and analysis, define KPIs and metrics, support online channel analytics, and deliver insights and documentation to stakeholders.

Analyze large and unstructured datasets to identify patterns, develop data-gathering applications, build performance indicators, document requirements and procedures, optimize inventory and supply processes, and create visualizations and quantitative analyses to support decision making.

Lead Analyst will define growth measurement frameworks, build marketplace and lifecycle models, run rigorous experiments and causal measurement, produce BI and growth ROI reporting, identify high-value customers/restaurants, and partner cross-functionally to instrument and automate analyses that guide strategic growth decisions.