Top Data & Analytics Jobs

Own board-grade analytics deliverables for client engagements by transforming Salesforce pipeline data and BI outputs into executive narratives, presentations, and reusable reporting templates. Analyze pipeline, funnel, and revenue performance; explain variance; write causal commentary; present findings to PE sponsors and executives; and train client teams to maintain deliverables independently.

Manages commercial reporting, analytics tools, and insights using syndicated, retailer POS, shopper card, and internal data. Delivers business performance analyses, visual selling stories, and actionable recommendations for sales, marketing, brand, and customer strategy teams. Oversees reporting accuracy, user training, data-provider relationships, technology integration, and visualization capabilities while supporting growth initiatives involving assortment, pricing, promotion, shelving, and innovation.

Build healthcare claims dashboards, reports, and analyses; translate complex data into actionable insights; support client reviews and presentations; collaborate with internal teams; manage competing priorities; and strengthen client relationships and account growth through accurate, timely analytics.

Leads enterprise analytics strategy and a team of analysts, consultants, and data scientists. Develops predictive models and machine learning strategies, defines KPIs and reporting frameworks, advances marketing analytics, and partners with business leaders to drive growth, customer engagement, retention, operational improvement, and product strategy. Presents insights to executives and builds scalable analytics, visualization, and data environments.

Build and maintain business intelligence reports, scorecards, dashboards, and digital solutions for global quality teams. Analyze data from databases, ERP and eQMS platforms, Excel, SharePoint, and other systems using SQL, Power Query, Power BI, and related tools. Identify trends, improve reporting processes, support data governance, standardize metrics, manage data projects, and communicate actionable insights to stakeholders and senior leadership.

Build and optimize Snowflake data models, warehouses, and ELT/ETL pipelines. Develop Python and C#/.NET APIs, manage CI/CD and infrastructure across Windows and Linux, integrate third-party platforms, and support data governance, security, performance, and cost optimization. Troubleshoot production issues across multiple client projects, document architecture, collaborate with stakeholders, participate in code reviews, and mentor junior engineers.

Leads district accountability analytics by forecasting TEA outcomes, analyzing STAAR and MAP performance data, and building predictive models, dashboards, reports, automated Python data pipelines, and audit-ready reporting systems. Supports executive decision-making, protects accountability ratings, and drives continuous improvement through accurate and timely student performance insights.

Own enterprise data governance, metadata, lineage, data quality, master data, GxP readiness, cloud data-layer standards, commercial data controls, partner data exchanges, and AI data governance. Lead federated stewardship, executive scorecards, architecture reviews, access models, vendor data governance, and regulatory readiness across clinical, commercial, and corporate data. Partner with Security, Legal, Privacy, Compliance, and QA while building accountable business ownership and trustworthy, rapidly accessible data.

Builds and optimizes enterprise quality data solutions, including pipelines, integrations, databases, dashboards, analytics platforms, and cloud technologies. Partners with Quality, IT, business teams, and vendors to translate requirements into scalable data, automation, reporting, and AI solutions. Governs data management, security, compliance, and lifecycle practices; supports quality systems and users; analyzes quality trends; and drives continuous process improvement. The role also leads AI-enabled solutions using Microsoft Copilot Studio, AI Builder, and Power Platform.

Supports quantitative and qualitative data analysis, exploratory analysis, KPI dashboards, reports, presentations, and business visualizations. Collaborates with business teams and data engineers to understand data structures, improve source systems, monitor data quality, and identify market, customer, product, and operational trends. Communicates insights to management to support strategic decisions and corrective action plans.