Top Remote Business Intelligence Jobs

Design, develop, and publish advanced interactive Power BI reports and dashboards; define data structures and ETL needs; build analytics models using Microsoft BI stack (Power BI, SSAS/AAS, dataflows); use DAX and SQL to implement complex logic; collaborate with data engineering and business partners; mentor junior developers and performance-tune reports.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Supports executive dashboards, business intelligence reporting, metric definition, process automation, and special projects across go-to-market and global operations. Analyzes performance data, improves reporting accuracy and timeliness, simplifies manual workflows, and collaborates with Finance, HR, Sales, Investor Relations, and Strategy stakeholders. Requires SQL proficiency, Python or R data analysis experience, Tableau familiarity, and strong analytical, communication, and collaboration skills.

Supports enterprise data governance and business intelligence for NAVSUP by profiling datasets, defining quality rules and business glossaries, validating metadata and lineage, reconciling API data, and tracking remediation. Develops test cases, dashboards, scorecards, reports, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders in Agile environments using Informatica, MuleSoft, Axon, Power BI, Azure DevOps, and AWS GovCloud.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.

Develop and optimize Power BI dashboards, reports, data models, and visualizations using DAX and multiple data sources. Translate stakeholder requirements and complex datasets into actionable insights, analyze procurement and operational data, support forecasting and executive reporting, and maintain data accuracy, governance, security, compliance, and documentation.

Analyzes constellation capacity, customer demand, product usage, revenue, pricing, and operational performance. Maintains and improves Python- and SQL-based workflows and business intelligence datasets, develops quantitative analyses for Product and Sales teams, and translates complex data into actionable recommendations for technical and non-technical stakeholders.

Develop and distribute recurring reports, gather stakeholder requirements, enhance data and reporting capabilities, automate manual processes, analyze KPIs and trends, and present insights to business leaders. Partner with business and technical SMEs on data deep dives, quality improvements, and ad hoc finance and business initiatives. The role requires hands-on Power BI and SQL experience, strong Excel skills, and familiarity with VBA and Python.

Leads business intelligence discovery, data modeling, dashboard development, data governance, reporting, and analytics for real estate programs. The role manages stakeholder requirements and KPI reporting, troubleshoots data issues, analyzes complex datasets, supports process improvements, contributes to product roadmaps, and mentors analytics team members. It requires expertise in Power BI, business intelligence tools, building systems and equipment performance, asset lifecycle planning, requirements analysis, and cross-functional consulting.

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.

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.

Leads enterprise business intelligence architecture, governance, and optimization across Power BI and Microsoft Fabric. Designs semantic models, dataflows, DAX measures, security controls, deployment processes, and reporting standards. Partners with data engineering and business stakeholders to deliver scalable analytics for operational, financial, and executive decisions. Provides technical leadership, mentors BI developers, documents architecture, and advises leadership on platform strategy and future-state analytics capabilities.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Develop and administer enterprise business intelligence solutions using Power BI, SSRS, SQL Server, and data warehousing technologies. Design data models, dashboards, visualizations, KPI scorecards, security models, and analytical solutions for large-scale datasets. Optimize queries, ensure data quality and governance, establish BI standards, and provide guidance to other developers. Collaborate with engineers, database administrators, and business partners to translate complex data into actionable insights.

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.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Owns BI dashboards and analytics initiatives from requirements through delivery, maintenance, and optimization. Partners with stakeholders to translate business objectives into scalable solutions, writes complex SQL, validates data quality, and delivers actionable insights. Collaborates with Data Engineering on reporting infrastructure and supports Commercial Analytics with datasets and analytical support. Independently manages analytical workstreams and connects findings to business outcomes.

Develops Power BI dashboards, gathers stakeholder requirements, analyzes business metrics, and delivers actionable insights. Leads BI projects, mentors junior team members, maintains documentation and process compliance, supports data automation, and collaborates with IT and business solutions teams on data initiatives. Requires advanced Excel and SQL skills, expert Power BI knowledge, large dataset experience, and strong stakeholder and team management capabilities.

Develop and maintain enterprise HCM analytics, dashboards, compliance reports, semantic layers, data extracts, and predictive workforce insights using Oracle Fusion technologies. Translate agency requirements into reporting solutions, support data migration and onboarding, ensure accessibility compliance, and provide technical leadership and mentoring across a federal HCM modernization initiative.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Develop and architect Oracle HCM analytics solutions, including OTBI and BI Publisher reports, OAC dashboards, predictive analytics, HCM Extracts, semantic models, and workforce visualizations. Support federal HR compliance reporting, accessibility standards, agency onboarding, historical data migration, training, and self-service analytics. Lead technical workstreams, review deliverables, solve complex reporting challenges, and mentor junior team members.

Develop and maintain Oracle HCM analytics and reporting solutions for a federal modernization program. Build OTBI and BI Publisher reports, OAC dashboards, HCM Extracts, executive visualizations, compliance submissions, predictive analytics, and accessible 508/WCAG-compliant outputs. Collaborate with HR functional teams, support data transitions and reporting templates, and provide analytics training. The role requires extensive enterprise BI experience, SQL proficiency, workforce metrics knowledge, and familiarity with Oracle Fusion HCM and federal HR reporting.

Designs, develops, and owns business intelligence dashboards, visualizations, analyses, and reporting solutions, primarily in TIBCO Spotfire and also Power BI. Responsibilities include data modeling, calculations, performance tuning, deployment workflows through GitHub, data quality collaboration, BI standards, risk identification, mentoring, and independent decision-making across a multi-tenant Life Sciences data platform.

Lead Epic Cogito, Caboodle, and Clarity data migration from on-premises environments to Azure cloud. Validate data integrity, reporting parity, and performance; build and optimize SQL reports and dashboards using Epic reporting tools; translate requirements into cloud architecture and workflow decisions; manage migration risks, documentation, runbooks, status reporting, and knowledge transfer; and mentor customer teams throughout implementation.

Design, build, and maintain operational dashboards and SQL-based data models. Translate stakeholder questions into queries, validate data quality, migrate reporting to Databricks/dbt, document analytics, and support metric governance to deliver trusted operational insights.