Top Remote Analysis Reporting Jobs in Sacramento, CA

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Own and execute markdown and promotional pricing analytics for Old Navy: build and validate pricing models and AI-driven scenarios, synthesize demand signals, monitor in-season actions, produce decision-ready deliverables for business and finance partners, and help train/scale pricing agents and analytical capabilities.

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.

The Software Business Analyst will gather requirements, create technical documentation, and collaborate with teams to enhance software systems.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Administer and optimize SQL Server databases while designing normalized schemas, mapping XML data, and developing SSIS-based ETL and migration pipelines. Responsibilities include database maintenance, backup and recovery, performance tuning, security controls, audit logging, testing, production cutovers, rollback planning, and ongoing migration support. The role also requires collaboration across development, testing, systems engineering, and business teams.

Short-term paid project to export your personal financial data from at least seven apps (including five mandatory categories), create two financial artifacts (spreadsheets or trackers), redact PII locally using a provided tool, and submit matching, recent historical datasets for quality review and final approval. Paid per approved dataset; expected completion within the project timeline.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

The Data Operations Analyst at Revecore will manage data operations, troubleshoot issues, and optimize data pipelines while collaborating with Data Engineering.

Design, build, and optimize enterprise ETL/ELT pipelines, cloud data lakes, lakehouse solutions, data models, and semantic layers across AWS and Azure. Ensure data quality, security, performance, reliability, and governance while supporting analytics, reporting, and AI initiatives. Collaborate with product, engineering, IT, and business stakeholders to translate requirements into scalable data solutions, monitor pipeline health, troubleshoot issues, and improve data architecture and practices.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.