Top Remote Analysis Reporting Jobs in Sacramento, CA

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

The Senior Data Engineer will design and maintain data infrastructure and pipelines, ensuring data integrity and supporting analytics for a nonprofit organization.

Lead and manage a team of statisticians and data analysts to design and perform quantitative analyses for wage-and-hour matters, deliver timely client-facing reports, streamline processes, ensure data quality, manage project workflows and budgets, and train staff in statistical methods and automation.

Lead pricing and promotional analytics for Old Navy by building and running elasticity and scenario models, validating AI-generated pricing outputs, synthesizing demand signals, monitoring in-season pricing, and delivering decision-ready analysis to business and finance partners. Support analyst development and help train and refine pricing agents and analytical standards.

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.

Develop and implement ISO Tariff compliance processes, investigate noncompliance events, perform assessments, and maintain compliance data.

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

Develop and maintain Power BI reports and dashboards from multiple data sources. Collaborate with product owners to gather requirements, create technical specs and wireframes, analyze large datasets, performance-tune reports, test and document dashboards, troubleshoot data quality issues, and lead demos. Design data models, pipelines, and automation; standardize calculations; support and refine reporting solutions; and manage related small projects and stakeholder communication.

Design and deliver scalable cloud-native data pipelines and models using Airflow, Snowflake, and AWS to support paid and owned marketing. Ensure data quality, governance, security, performance optimization, and cost efficiency. Collaborate with product and business teams, contribute to platform modernization, and mentor engineers to promote best practices in testing and deployment.

Design, develop, and maintain Power BI semantic models, dashboards, paginated and SSRS reports. Build DAX, Power Query transformations, ETL processes (SSIS/Azure Data Factory), and semantic/tabular models. Engage stakeholders, perform testing/UAT, document solutions, tune performance, and support multiple client engagements in a consulting environment.

Develop, maintain, and improve predictive models and operational forecasts to support claims demand and capacity planning. Build Python workflows, prepare and validate data with SQL and Python, automate manual processes, create visualizations and BI solutions, and partner with stakeholders to translate business questions into analytical solutions while sharing knowledge with teammates.