Top Analysis Reporting Jobs in Sacramento, CA

Lead enterprise data strategy and governance: define strategy, design governance frameworks (ownership, stewardship, quality, standards), partner on scalable cloud/MDM/metadata/analytics platforms, establish governance forums, and drive cross-functional change to embed trusted, data-driven decision-making.

Design and execute SQL-based ETL processes to migrate legacy public safety data into Mark43. Collaborate with customers, contractors, and internal teams to map legacy schemas, handle edge cases, ensure data fidelity, and improve migration tooling while managing timelines and stakeholder relationships.

Lead forecasting, capacity planning, and workforce insights for customer experience operations. Build and backtest forecasting models, maintain dashboards (Tableau, Databricks, Five9, Verint, Excel), manage vendor forecasts, perform scenario modeling, and deliver executive recommendations to align staffing with service and cost goals.

The Senior Data Engineer designs and maintains data infrastructure, creating scalable data pipelines and ensuring data quality while collaborating with cross-functional teams.

Lead analytics for law firm operations by writing advanced SQL and Python/R scripts, building executive dashboards, standardizing KPIs, analyzing case lifecycle metrics, identifying bottlenecks, and delivering actionable recommendations to drive capacity planning and process improvements.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Design, build, and maintain an internal data platform and pipelines. Ensure secure, governed, resilient data access for engineering and BI teams. Partner with architects, implement automations, support platform consumption, mentor users, and drive continuous improvement and compliance.

Lead statistical strategies for clinical trials, ensuring regulatory compliance and guiding cross-functional teams in statistical methodologies and data management.

Lead data quality strategy and team to define KPIs, build monitoring tools, manage issue resolution, and collaborate with engineering, analytics, pricing, and finance to ensure data integrity, regulatory adherence, and trustworthy reporting.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, integration, and BI solutions. Oversee delivery, establish standards, mentor teams, support presales, and drive measurable business outcomes across technologies like Oracle, Snowflake, Databricks, and Microsoft Fabric.