Top Remote Analysis Reporting Jobs in Sacramento, CA

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Provides technical leadership and hands-on development for Informatica ETL and enterprise data warehouse implementations. Designs, develops, tests, supports, and optimizes workflows, mappings, data integration processes, and dimensional models. Maintains platform health, resolves technical issues, leads releases, establishes development standards, supports data quality and governance, and collaborates with QA and business teams. Requires strong SQL, cloud, Kimball modeling, data management, and Informatica expertise, plus occasional on-call duty and travel.

Supports applied research and evaluation projects by collecting, cleaning, managing, and analyzing quantitative and qualitative data. Conducts literature reviews and policy scans, interprets findings, prepares reports, briefs, charts, and graphs, and contributes to proposal development. Also assists with project management through timeline development, meeting coordination, and progress tracking while collaborating with interdisciplinary teams in a virtual work environment.

Leads the design and delivery of governed, business-ready data products, dimensional models, semantic assets, and KPI frameworks for Global Operations. Builds scalable lakehouse transformations using SQL, Python, and PySpark; establishes data quality, lineage, metadata, testing, CI/CD, monitoring, and security practices; and partners with business and technology stakeholders across supply chain, manufacturing, quality, and regulatory functions. Develops AI-ready data foundations supporting analytics, machine learning, generative AI, and executive reporting.

Leads legacy data migration into SaaS platforms by assessing sources, designing conversion strategies, executing ETL workflows, mapping and transforming data, validating integrity, and managing PII. Engages clients to gather requirements, document business processes, support governance and data quality, coordinate implementation teams, and develop reusable methodologies and training materials.

Conduct geospatial and molecular HIV data analysis using R, SQL, or Python; manage, merge, validate, and document datasets; support data governance, reporting, and dissemination; and develop or maintain Power BI dashboards. Collaborate with analysts, review data quality issues and error logs, document corrections, and provide project updates while supporting CDC public health surveillance initiatives.

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.

Develop and maintain Tableau dashboards, data visualizations, analytics solutions, and reporting tools. Clean and transform data using Databricks, SQL, and Python; identify workflow automation opportunities; and partner with stakeholders to deliver analytics and AI use cases. The role also involves client presentations, requirements gathering, business development support, and federal government consulting.