> Markdown version of [/jobs/ext/558467-data-analytics-integrator-power-bi-federal-financial-systems](https://www.wearedevelopers.com/jobs/ext/558467-data-analytics-integrator-power-bi-federal-financial-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Integrator (Power BI/Federal Financial Systems) - **Company:** Opportunity Inc - **Location:** Marietta, GA, United States - **Experience:** Experienced - **Salary:** $90,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Extract Transform Load (ETL), Python (Programming Language), Power BI, SQL Databases, SQL Server Integration Services, Azure Data Factory, Powerquery, HR Software, Data Analytics, Data Pipelines - **Published:** June 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f08ce89c7dca15f2 ## About the Role Do you have experience in SQL?, 1. Eligible for a Common Access Card (CAC) - requires a favorable FBI fingerprint check and Tier 1 federal background investigation (no security clearance required). 2. Four or more (4+) years designing and deploying Power BI solutions, including: * Advanced DAX and Power Query; * Data modeling; and * Workspace administration and row-level security. 3. Hands-on ETL experience - SQL required; SSIS, Azure Data Factory, or Power Platform dataflows a plus. You build data pipelines, not just reports. 4. Experience handling sensitive/PII data with appropriate access controls. 5. Ability to work on-site in Marietta, GA. Preferred Qualifications 1. Experience with Army or DoD systems: GFEBS, DCPDS, FTSMCS, or comparable federal financial or HR systems of record. 2. DoD, National Guard, or federal workforce/manpower analytics background - veterans and Guard technicians strongly encouraged to apply. 3. Forecasting or predictive modeling experience (Python or R a plus). 4. Experience in standing up a BI capability from zero in a new environment Pay: $90,000.00 - $120,000.00 per year Application Question(s): * Do you have hands-on experience building ETL/data pipelines (not just reports)? * How many years of Power BI experience including DAX and data modeling? ## Description Opportunity Federal, a Service-Disabled Veteran-Owned Small Business, is seeking a Data Analytics Integrator in Marietta, GA. You will serve as the primary technical architect, bridging human resources and financial data - designing, building, and maintaining a suite of Power BI data products from the ground up that give senior leadership real-time and predictive visibility into manpower and budget execution. This is a greenfield build: no inherited dashboards, no existing data models. You own the pipelines, the models, and the products end-to-end, 1. Design, build, and maintain executive dashboards, including: * Leave Without Pay (LWOP) / Return-to-Duty status tracking with integrated budget impacts; * Awards and Quality Step Increase (QSI) monitoring with processing timelines; * Military service credit deposit (buyback) tracking; and * A Status of Funds dashboard with integrated views of available, committed, and obligated funds tied to personnel accounts. 2. Build reconciliation products identifying discrepancies between personnel systems and the accounting system of record. 3. Develop predictive models for vacancy fill timelines ("time-to-fill") and multi-year workforce trends - retirements, attrition, and promotions - and their budget impact. 4. Create a workflow-visualization tool tracking personnel and budget actions from initiation to completion. 5. Sustain defined quality standards: 95-100% data accuracy and data refreshes within 24 hours of source-system updates. 6. Serve as the customer's trusted analytics resource, working directly with senior Government leadership. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [What if your HR software adapted to you, not the other way around?](https://www.wearedevelopers.com/videos/100259-what-if-your-hr-software-adapted-to-you-not-the-other-way-around) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Get Your Stack Together: Building the Right Recruiting Tech](https://www.wearedevelopers.com/videos/1295-get-your-stack-together-building-the-right-recruiting-tech) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)