Power BI/Analytics Engineering Lead

DecisionPoint | Cortek•Chicago, IL

7d•Remote

About The Position

DecisionPoint seeks a Power BI/Analytics Engineering Lead to provide subject-matter-expert technical leadership for shared semantic models, DAX measures, reporting standards, performance, access design, and controlled BI deployment supporting the USMEPCOM ENLIST program. The role guides the design, development, validation, and delivery of consistent analytical models, dashboards, reports, and self-service reporting capabilities. It uses Power BI Desktop, Power Query, SQL, approved hosting configurations, gateways, and appropriate query and refresh patterns to support reliable mission reporting. The lead collaborates with Government stakeholders, business analysts, data engineers, database personnel, governance specialists, cybersecurity teams, and testers to ensure reporting products use consistent definitions, provide appropriate access, and deliver accurate, understandable results. The position is remote, with Chicago-area candidates preferred. Applicants acknowledge that their resume may be included in an active competitive government contract bid.

Requirements

Active Secret clearance or higher.
Minimum of 12 years of relevant professional experience.
Bachelor’s degree in information systems, computer science, data analytics, or a related field, or a permitted equivalent.
Experience with Power BI Desktop, Power Query, and SQL.
Experience developing and maintaining shared semantic models and DAX measures.
Ability to establish and maintain reporting standards.
Experience optimizing BI model, query, refresh, and reporting performance.
Experience designing access controls for BI capabilities.
Experience implementing controlled BI deployment processes.
Experience working with approved hosting configurations and gateways.
Experience selecting and implementing appropriate query and refresh patterns.
Applicable DoD 8570 certification for the assigned duties.

Nice To Haves

Microsoft Certified: Power BI Data Analyst Associate (PL-300) — strongly preferred.
Experience supporting federal or Department of Defense BI environments.
Experience implementing reusable enterprise semantic models and standardized KPI libraries.
Experience with data warehouses, dimensional modeling, data lineage, and metadata management.
Experience implementing row-level security or other approved data-access restrictions.
Experience automating BI validation, release processes, or configuration management.
Familiarity with version control, deployment pipelines, and change-management practices.
Experience developing accessible dashboards and usable self-service reporting guidance.
Experience mentoring BI developers and coordinating technical reviews.
Strong analytical troubleshooting, documentation, stakeholder communication, and technical leadership skills.

Responsibilities

Own the technical design and maintenance of shared semantic models supporting enterprise analytics and reporting.
Develop and govern reusable DAX measures, calculation logic, relationships, and common analytical definitions.
Establish reporting standards for model design, visual presentation, naming, documentation, testing, and deployment.
Lead development of dashboards, reports, analytical products, and governed self-service reporting capabilities.
Use Power BI Desktop, Power Query, and SQL to prepare data and implement approved reporting requirements.
Coordinate with mission owners and business analysts to define KPIs, business rules, calculations, and acceptance criteria.
Select appropriate query and refresh patterns within approved hosting and security configurations.
Configure and support approved gateway connectivity, data-source connections, refresh schedules, and operational dependencies.
Monitor and improve semantic model, query, refresh, and report performance.
Design and validate access controls, role assignments, and data visibility in coordination with Government and cybersecurity personnel.
Maintain controlled development, testing, approval, deployment, and rollback processes for BI changes.
Coordinate reconciliation and testing of measures, aggregations, filters, relationships, security behavior, and reporting outputs.
Work with data engineers and database teams to resolve source-data, transformation, schema, and performance issues.
Maintain traceability between reporting requirements, source data, model logic, test evidence, and released products.
Review technical designs and provide guidance to BI developers and analysts.
Maintain model documentation, measure definitions, data mappings, deployment instructions, and operational runbooks.
Support release-readiness reviews, user acceptance testing, operational handoffs, and knowledge transfer.
Communicate technical risks, data limitations, performance findings, dependencies, and improvement recommendations to Government stakeholders and program leadership.