Top Senior Analysis Reporting Jobs in Sacramento, CA

Design and maintain SQL-based data pipelines and Power BI semantic models to transform ERP and manufacturing data into actionable dashboards and automated analytics. Partner with stakeholders to improve reporting accuracy, resolve data quality issues, support ERP modernization, and apply automation and AI tools to enhance operational decision-making.

Lead the design and implementation of enterprise BI architecture, ensuring alignment with business needs and data governance. Collaborate with teams to deliver Power BI solutions and optimize data processing. Provide subject matter expertise and documentation.

Support enterprise asset management data migration and system integration initiatives involving IBM Maximo. Analyze source and target environments, execute migration strategies, develop migration and interface components, validate data exchanged with enterprise platforms, and conduct quality reviews. Coordinate migration workstreams and help implement data governance standards. The role requires Maximo Integration Framework experience, large-scale data management expertise, and eligibility for Public Trust clearance.

Support enterprise asset management data migration and governance by analyzing source data, executing migration strategies, creating migration objects, validating data quality, and coordinating migration workstreams. The role requires expertise in IBM Maximo data structures, data management standards, data transformation, quality reviews, and large-scale optimization programs. Familiarity with AWS, IBM Cloud, Maximo configuration, custom objects, and workflow design is preferred.

Lead enterprise data strategy, governance, analysis, migration, validation, and integration for IBM Maximo implementations. Coordinate migration workstreams, develop migration approaches and objects, execute data transformations, conduct quality reviews, and collaborate with functional, technical, and business stakeholders to ensure accurate, reliable data aligned with organizational objectives.

Analyze and model marketing, product, and loan application data to optimize the borrower funnel and drive growth. Build BigQuery datasets, dbt models, and Tableau dashboards; evaluate customer behavior, acquisition costs, approval rates, and origination performance. Partner with Product, Marketing, and Engineering on A/B tests, statistical analysis, and actionable insights for leaders. Apply lending and fintech knowledge to improve conversion, customer value, and portfolio outcomes.

Leads the design, development, and operation of AOF’s data platform, including data lakes, warehouses, ingestion, orchestration, governance, reporting, and AI capabilities. Builds internal and customer-facing products using Python, Go, TypeScript, Terraform, and AWS. Drives architecture, security, CI/CD, cloud migration, regulatory reporting, and responsible AI deployment while partnering across business teams. Initially serves as a hands-on individual contributor and later grows an engineering team.

Leads data architecture and engineering modernization across business domains. Designs and implements complex pipelines, integrations, data models, and orchestration using Snowflake, AWS, and Airflow. Establishes data quality, governance, security, testing, observability, CI/CD, and reliability practices. Provides architectural guidance, evaluates technical solutions, leads cross-team initiatives, mentors engineers, and improves platform performance and cost efficiency.

Develops business intelligence solutions using data from diverse sources to deliver insights, visualizations, process automations, and decision support. The role analyzes complex business opportunities, integrates and refines organizational data, presents findings to senior leaders, and recommends technical approaches with minimal direction. Preferred experience includes SQL, Python, Databricks, Power BI, Power Apps, Power Automate, predictive modeling, and healthcare analytics.

Designs and implements scalable data lakehouse platforms on GCP, including BigQuery, GCS, BigLake, and Dataplex. Leads real-time and batch data pipeline development, data governance, metadata management, security, and performance optimization. Partners with clients and stakeholders to translate business needs into architecture, leads technical teams, mentors engineers, and provides hands-on solutioning and technical advisory support.

Build and scale secure data lakehouse and warehouse infrastructure supporting analytics, machine learning, clinical AI performance monitoring, and self-service insights. Develop scalable data pipelines, models, orchestration, quality controls, and LLM-enabled analytics tools using heterogeneous clinical and EHR data. Collaborate with engineering, data science, clinical, product, and client success teams to establish trustworthy metrics and technical solutions.

Manage enterprise metadata, business glossaries, data catalogs, and end-to-end data lineage for a federal case management modernization program. Configure governance and metadata platforms, integrate data sources and pipelines, establish standards and workflows, monitor metadata quality, support compliant data sharing, develop governance metrics, document procedures, and train data stewards and business users.