> Markdown version of [/jobs/ext/3844491-federal-analytics-and-insights-engineer](https://www.wearedevelopers.com/jobs/ext/3844491-federal-analytics-and-insights-engineer). 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). --- # Federal - Analytics and Insights Engineer - **Company:** Hispanic Technology Executive Council - **Location:** Birmingham, AL, United States - **Salary:** $73,900.0 - $198,800.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Communications Protocols, Data Files, Extract Transform Load (ETL), Data Mining, Relational Databases, R (Programming Language), Python (Programming Language), Operational Data Store, Power BI, PL-SQL, SQL Databases, Tableau (Software), Data Processing, Apache Spark, Qlikview - **Published:** October 20, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/75260367/1 ## About the Role * Must have experience in building data products on tools such as: o AWS, Azure, GCP Data Services o R, Python, Spark o SQL, PL/SQL * Must be curious, self-driven, analytical, and excited to play with data * Must have strong presentation and communication skills * Must have proven experience in working with a team to implement end to end data products * US Citizenship No Dual Citizenship Bonus Points: * Experience with big data environments * Experience with Tableau, Power BI, Qlik, etc. * Design, build, launch and maintain reliable dashboards that provide insights on operational data * Use visual storytelling to build business intelligence solutions to deliver actionable insights * Develop KPIs to track progress ## Description * Apply expertise in large-scale quantitative analysis, data mining, and the presentation of data to see beyond the numbers and extract useful business insights * Finding, cleaning, and manipulating data to build data sets * Build business intelligence and self-serve analytical tools * Analyze data, conduct research, and synthesize feedback into plans, processes, and playbooks * Establishing reporting/communication protocols * Scheduling triggers with ETL (Extract, Transform, Load) processes * Developing queries and reports on relational database * Developing automation solutions through technologies * Measure performance metrics, including monitoring and maintaining technical processes * Communicating and presenting results of data analyses