Data Analyst
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Role details
Tech stack
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Job description
- Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user-facing data products in Palantir Foundry and related technologies.
- Work with client stakeholders and technical teams to understand requirements, troubleshoot data issues, and translate business needs into practical analytical solutions.
- Analyze, clean, integrate, and validate data from multiple sources to support reporting, analysis, and operational workflows.
- Develop queries, scripts, dashboards, applications, and other analytical products using tools such as Python, SQL, JavaScript/TypeScript, and low-code applications.
- Support data modeling, database design, testing, documentation, and deployment of new capabilities.
- Apply UX/UI and user-centered design principles to improve the usability of dashboards, workflows, and analytical applications.
- Use modern software development practices including Git, testing, version control, and collaborative development.
Requirements
The individual will work with technical teams and end users to develop data pipelines, analytical workflows, and applications, translate requirements into practical solutions, and support testing and implementation. Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development, cloud technologies, and UX/UI design. Direct Palantir Foundry experience is preferred but not required., * 2+ years of experience in data analytics, data engineering, software development, or a related technical field.
- Experience with Python, SQL, and JavaScript/TypeScript.
- Experience developing ETL/ELT pipelines and working with relational databases and structured data.
- Experience with low-code application development, cloud technologies, or UX/UI design.
- Ability to work directly with users to understand requirements and develop data-driven solutions.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with Palantir Foundry or comparable data and analytics platforms.
- Experience with PySpark, Spark, or other large-scale data processing technologies.
- Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing applications, workflows, or analytical products.
- Prior experience supporting U.S. Government clients or working in regulated environments.
Benefits & conditions
Salary range: $85,000- 150,000 USD The salary range listed is one part of our total compensation package, which may also include bonuses, incentives and benefits. Individual compensation is determined based on qualifications such as relevant years of experience, education, certifications and geographic location. Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.
About the company
Technomics is a growing employee-owned, decision analytics company that provides professional services and management solutions to help our clients make better decisions faster. We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter expertise, and tangible and repeatable assets in the form of databases, models, approaches and techniques. Analysts have the knowledge, skills, abilities and initiative to deliver timely, practical and innovative solutions to our clients as part of high-performing project teams typically composed of a mix of junior and mid-level analysts. Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
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