Data Analyst
Listed on 2026-06-15
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IT/Tech
Data Analyst, Data Engineering, IT Consultant
Description
The Amivero Team Amivero’steam of ITprofessionalsdelivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused ontruly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.
Our team of technologistsleveragemodern, agile methods to design and develop equitable, accessible, and innovative data and software services thatimpacthundreds of millions of people.
As a member of the Amiveroteam you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization tovery important, mission-critical, and public service government IT systems.
US Citizenship Required to obtain DHS Public Trust Bachelor's Degree+ 2 year of hands-on work experience in Information Technology and/ or Data Analytics
The Gist…We’rehopingyou’llaugment our team by bringing your data and technologyexpertiseto provide support in a range of ways.
We need statistical reporting and dashboard creation that will be used to make executive decisions.
You’llidentifyandexecute onthe requirements needed to support data report creation, management, disbursement, and validation of defined data systems to present findings. In addition,you’llparticipatein the evaluation and automation of redundant / manual processes, assess technology solutions, andidentifyadditionalopportunities for digital transformations
- Create, manage, disburse, and validate statistical information and reports from the Integrated Security
- Coordinate with existing enterprise efforts to ensure effective integration of AI/ML models, automation solutions, and data management tools within the agency’s operational framework
- Design, develop, test, deploy, and maintain solutions following industry best practices for software development lifecycle (SDLC)
- Import and export data into Tableau, to include R coding and ability to present findings in dashboards and automate requirements where feasible
- Develop and implement forecasting models to enhance decision-making, optimize resource allocation, and improve operational performance
- Present findings as directed
- Create, manage, and implement robotic process automations using UiPath, Power Platform, and potentially other software
- Bachelor's Degree+ 2 year of hands-on work experience in Information Technology and/ or Data Analytics
- Experience with UiPath and Power Automate desired
- A strong Data Mindset. The ability to perform data collection,research and analysis on complex and varying datasets
- Experience in Python, R and/or RStudio programming software
- Experience with platforms such as Power
BI, Power Apps - Experience in dashboard and report development
- Statistical analysis experience
- Demonstrated experience in automating manual reports
- Strong problem-solving skills
- Organized, detail-oriented, and ability to stay on task in a fast-paced environment
- Strong experience with Microsoft Excel and Power Point
- The ability to collaborate with stakeholders, including demonstrated experience distilling data into meaningful reports (Excel, PowerPoint, etc.) and presenting those data trends and insights to customer groups
- Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to communicate strategic information to technical and nontechnical audiences at various hierarchical levels
- Working knowledge of Agile Development processes
EOE/M/F/VET/DISABLED
All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amiverocomplies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
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