Top Senior Data & Analytics Jobs

Develops scalable Power BI and Microsoft Fabric solutions, including dashboards, semantic models, data pipelines, and lakehouse architectures. Partners with stakeholders to define metrics, gather requirements, improve data quality, and deliver governed analytics. Uses SQL, Python, PySpark, DAX, and Power Query to transform and visualize enterprise data. Supports deployment, automation, user training, troubleshooting, and adoption. The role requires experience with Dynamics 365 Finance and Operations, corporate reporting, and preferably CPG or food manufacturing environments.

Leads enterprise data strategy, analytics, business intelligence, data engineering, governance, and AI-enablement initiatives. Manages data and analytics teams, defines strategic roadmaps, develops executive dashboards and KPI frameworks, guides data warehouse and lakehouse architecture, and delivers advanced analyses, forecasting, and predictive insights. Partners with executives to improve operational efficiency, customer experience, revenue, profitability, and organizational performance while establishing scalable, governed, and reliable data capabilities.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

Leads production data engineering for AI systems, designing scalable pipelines, cloud infrastructure, orchestration, retrieval architectures, evaluation datasets, and real-time data flows. Establishes data quality, governance, lifecycle, observability, and coding standards; integrates AI agents into engineering workflows; manages significant incidents; builds reusable platform components; and mentors junior and mid-level engineers.

Leads CHA’s organization-wide data strategy, warehouse development, reporting, and dashboarding initiatives. The role designs data models and pipelines, integrates information from multiple systems, develops Power BI dashboards, establishes documentation standards, manages vendors, and guides departmental data roadmaps. It also partners with senior leaders to gather requirements, drive adoption, improve data quality, and build a reliable, data-informed organization.

Develop and maintain scalable data pipelines, models, datasets, reports, and dashboards for operational reporting. Use dbt, Airflow, Azure Data Factory, SQL, Power BI, and related technologies to build, optimize, test, migrate, and support data delivery solutions. Collaborate with technical and business stakeholders, conduct root cause analysis, automate maintenance, contribute to development standards, and mentor junior engineers. The role requires P&C insurance experience and hybrid work three days per week at a specified office location.

Leads production planning, budgeting, forecasting, performance management, competitive intelligence, and executive reporting. Establishes production targets, analyzes variances and marketing economics, identifies risks and opportunities, and provides actionable insights to senior leadership. Partners cross-functionally with Finance, Marketing, Credit, and Operations while modernizing reporting and decision-making through AI-enabled tools, automation, advanced analytics, and improved monitoring capabilities.

Build and migrate production data engineering and machine learning workloads to Databricks on Azure. Assess on-premises SQL Server and SSIS systems, develop PySpark and Spark SQL pipelines, implement governance with Unity Catalog, and create reusable CI/CD assets. Work directly with Department of Veterans Affairs teams through requirements sessions, workshops, training, and documentation. Depending on focus, build ML workflows or modernize ETL, reporting, semantic models, and Power BI solutions.

Leads modernization of legacy data platforms and architects scalable batch and streaming pipelines on Azure and Databricks. Designs lakehouse and dimensional warehouse models, integrates REST APIs, implements data quality and observability frameworks, and establishes CI/CD and infrastructure as code. Uses OpenAI and Anthropic for AI-assisted engineering and validation. Mentors engineers, drives architecture decisions, and owns data reliability, governance, security, and performance.

Serves as the technical authority for Azure SQL architecture, deployment, security, performance, operations, and migrations supporting federal programs. Designs secure Azure Government database environments, leads on-premises SQL Server migrations, develops T-SQL and data models, builds Azure Data Factory pipelines, implements DevOps and infrastructure automation, troubleshoots incidents, optimizes costs, documents standards, and mentors team members. Collaborates with engineering, architecture, data, and DevOps teams on reliable data platforms.