Top Business Intelligence Engineer Jobs in San Francisco, CA

The Business Intelligence Engineer manages enterprise data sources, supports data quality and governance, and translates transactional data into KPIs for business teams. Responsibilities include guiding analyst teams, handling data inquiries, supporting advanced analytics, monitoring data performance, defining data requirements with stakeholders, and presenting findings to technical and non-technical audiences. The role requires SQL, Tableau, relational database, and data modeling or analytics expertise.

Designs and maintains data pipelines, data lakes, ETL processes, data integration workflows, and enterprise data platforms. Transforms and optimizes data using Databricks, Python, and SQL. Develops dashboards, reports, scorecards, and KPI solutions with Amazon QuickSight and Tableau. Works with PostgreSQL, Oracle, AWS RDS, and Starburst while ensuring data quality, performance, security, governance, and effective data modeling.

Lead the architecture and development of Power Apps and enterprise-scale Power BI solutions for federal customers. Build interfaces, data models, dashboards, integrations, security controls, and accessibility-compliant applications. Manage gateways, refresh strategies, performance optimization, data quality, source control, deployments, and technical documentation. Collaborate with stakeholders in an Agile environment, support security and ATO activities, lead requirements and design reviews, and mentor developers and analysts.

Develops, validates, documents, deploys, and maintains Amazon QuickSight dashboards in a secure CMS environment. Translates stakeholder requirements into interactive visualizations, performs SQL-based ETL and data-quality validation, supports Tableau analytics, manages UAT and dashboard lifecycles, troubleshoots technical issues, and documents data workflows. The role collaborates with analysts, data scientists, CMS stakeholders, QIO staff, and other teams while supporting healthcare and regulated data initiatives.

Develop and maintain Power BI reports, dashboards, visualizations, semantic models, and analytics solutions. Translate business requirements into scalable technical solutions, optimize queries and data models, ensure reporting accuracy and performance, and support data governance. Serve as the primary liaison for business users, provide training and troubleshooting, manage tickets, and collaborate with Data and QA teams. The role also advances AI and machine learning capabilities, mentors colleagues, and contributes to automation, documentation, and code reviews.

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.

The Senior Developer will design, develop, and maintain reporting solutions, collaborating with teams to improve financial reporting and analytics using various technologies, including Power BI and SQL.

The Business Intelligence Engineer analyzes complex internal and external data to solve business problems and deliver actionable insights to decision-makers. Responsibilities include integrating, analyzing, summarizing, and presenting data; conducting root cause analysis; using SQL, SAS, Databricks, and advanced Excel; and supporting data-driven business decisions. This is a remote role with occasional travel for training or meetings.

Develop and support enterprise BI solutions, including dashboards, reports, governed datasets, data marts, and ETL/ELT processes. Translate business requirements into technical designs, perform data analysis and validation, troubleshoot production issues, and maintain documentation, governance, security, and data-quality standards. Lead-level candidates will guide technical decisions, mentor team members, and coordinate complex initiatives and incidents.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

Develop and support enterprise application integrations, SQL Server databases, SSIS ETL processes, Power BI reports, REST APIs, and data migration solutions. Troubleshoot production integration, reporting, and data-quality issues; collaborate with stakeholders on technical requirements; and support documentation, deployment, and release activities. The role is remote and requires strong SQL, systems integration, business intelligence, and data-integration experience.

Develop and support enterprise BI and data solutions using Power BI and Microsoft Fabric. Responsibilities include building dashboards, reports, data pipelines, ETL/ELT workflows, analytical models, and curated datasets; validating data quality; troubleshooting pipeline issues; documenting data lineage and metrics; and collaborating with technical teams and organizational leaders to deliver trusted, scalable analytics.

Own executive, board, investor, financial, and operational reporting for leadership. Build scalable dashboards, define consistent KPIs, reconcile data across systems, investigate performance changes, and translate complex business questions into actionable insights. Partner with Strategy, Finance, and senior leaders to automate recurring reporting, improve data accuracy, and support actuals-versus-budget-versus-forecast analysis.

Develops and maintains business intelligence applications, data models, reporting scripts, and analytics solutions using Qlik, SQL, and related tools. Imports data from multiple sources, validates data integrity, assesses downstream impacts, supports user testing, and collaborates with business stakeholders and IT to improve reporting processes and deliver actionable insights.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

The Power BI Developer will build enterprise data models, develop and publish reports and dashboards, assist users with data requirements, and work on Azure technologies to support government initiatives.

Own the companys end-to-end data graph, ensure data quality and lineage, and deliver Sigma dashboards and client-facing reports. Act as single owner for triage, prioritization, and translation of business questions into actionable insights, partnering closely with data engineering and business leaders to set standards for production-ready reporting.

Develops business intelligence applications and data models using Qlik, SQL, and related tools. Performs ETL, data validation, analytics process improvement, and impact analysis for reporting changes. Provides data-driven insights, supports audits and legislative inquiries, leads stakeholder meetings, and mentors teammates as a business intelligence subject matter expert.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Design, build, and maintain enterprise Power BI dashboards and data models. Integrate multiple data sources, write DAX, ensure data quality and performance, support stakeholders with requirements, documentation, governance, and ad hoc analytics to enable operational and executive decision-making.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.

As a Staff Engineer in BI Reporting at Nagarro, you will utilize your coding skills to address client challenges and guide your team towards effective solutions, while also pushing for continuous improvement in outcomes.

This role involves leveraging your technical knowledge to help teams tackle client challenges and enhance solutions for better success.

Own and scale the internal analytics stack: build dbt ETL pipelines, design reusable data models, create dashboards and forecasts, set up data quality checks, and partner with Product, Sales, Finance, and Operations to define KPIs and operationalize insights.