Top Business Intelligence Jobs in Sacramento, CA

Design, build, and implement business intelligence solutions using BI tools and programming languages. Develop data pipelines, validate data quality, create visualizations, collaborate with stakeholders, perform economic and business analysis, and support data architecture and process improvements to drive client decision-making.

Design and implement business intelligence solutions, analyze complex datasets, and deliver advanced-analytics insights using BI tools. Build data pipelines, create visualizations (Oracle BI, QlikView, Spotfire), collaborate with stakeholders, manage client relationships, and lead teams to improve business performance and data quality.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Design, build, and maintain large-scale data pipelines, ETL/ELT processes, and data models. Collaborate with analysts, architects, and data scientists to deliver BI solutions, optimize performance, support production systems, and mentor team members. Implement cloud and on-prem data architectures, CI/CD practices, and tooling to enable data-driven decision-making across the business.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Own and operate the Microsoft Fabric and Power BI platform end-to-end: administer tenants, capacities, OneLake, and governance; build secure data integration pipelines and access layers for BI and AI agents; automate CI/CD and platform operations; enforce security and data governance; and translate business requirements into technical designs while liaising between IT, security, and business stakeholders.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Manage day-to-day BI reporting and Microsoft Fabric/Lakehouse operations; lead a small BI team; build and maintain Power BI reports, semantic models, pipelines, and access controls; prioritize and deliver requests across Finance, Operations, Manufacturing, Inventory, Sales, and Projects while ensuring KPI consistency, performance, and documentation.

Design, develop, and implement end-to-end BI solutions, reports, dashboards, and data warehouses for business partners and leadership. Work with large healthcare datasets (finance, HR, clinical) using SQL Server, Power BI, SSRS, and Tableau. Lead projects, mentor team members, and deliver analytical insights to influence decisions.

Design, engineer, and optimize end-to-end healthcare data products and analytics applications. Lead full-stack BI work from ETL and SQL optimization to dashboard UX (Power BI/Tableau), implement CI/CD for BI, and translate clinical/operational requirements into performant reporting solutions.

Lead development and deployment of data and analytics products, manage BI platforms and governance, oversee a team of BI analysts and engineers, engage stakeholders for requirements and UAT, set success metrics, and deliver actionable healthcare analytics and visualizations to support business decisions.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Design, develop, and troubleshoot SAP reporting solutions, data marts, OLAP and dashboards. Translate business needs into BI solutions, follow data management processes, analyze trends, collaborate on database and architecture design, and evaluate future data delivery tools.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Lead BI analytics and governance for client accounts: manage BI analysts, deliver dashboards and reports, oversee data mapping, modeling, quality, and platform initiatives (Power BI/Databricks), advise stakeholders, drive analytics roadmap, and apply advanced analytics and ML to optimize workplace and portfolio insights.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

Lead BI and data for a large real estate account: design and deliver Power BI dashboards, data governance, integrations, SharePoint and automation solutions, build analytics roadmap, translate data into executive insights, drive process improvement, and lead a technical analytics team.