Data Analyst

Quick Facts

• Role: Data Analyst (Data Engineering / Analytics Workflows)

• Work mode: Full-time, in person; may require work at government facilities

• Location: Wiesbaden, Germany

• Clearance: Active Secret security clearance required (or ability to obtain/maintain U.S. Government clearance)

• Security/Accreditation: Must obtain and maintain Technical Expert Status Accreditation (TESA)

Description

Support U.S. Army operational requirements by delivering data engineering and analytics workflow development, integration, validation, and sustainment of data products. You will work with structured and semi-structured data, build and maintain repeatable ingestion/transformation/integration workflows and dashboards (including platforms such as Palantir Foundry), document end-to-end processes and data lineage, and resolve technical issues affecting pipelines and analytical products.

Responsibilities

• Develop, configure, validate, document, and sustain data products and analytics capabilities within data platforms (e.g., Palantir Foundry)

• Prepare, transform, normalize, validate, and analyze structured and semi-structured data

• Build and maintain repeatable data-ingestion, transformation, and integration workflows and related technical components

• Apply data-validation, quality-assurance, traceability, and reproducibility practices

• Translate operational requirements into data, analytics, and visualization solutions

• Document source-to-output workflow logic, configurations, validation results, data lineage, and transition artifacts

• Participate in engineering reviews, workflow integration, and validation efforts; resolve pipeline/workflow/product issues

• Coordinate with Army, government, and contractor stakeholders on integration and operational use

• Support continuation of delivered capabilities and work directly with military/civilian personnel as required

Requirements

• Proficiency with Python, SQL, or comparable data engineering and analytical programming tools

• Ability to work with relational databases and structured or semi-structured datasets; understanding of data modeling, data integration, data quality, analytical workflow concepts, and technical documentation practices

• Experience with data preparation, transformation, normalization, validation, quality assurance, and analysis

• Experience developing or maintaining dashboards, visualizations, analytical products, or comparable data-driven applications

• Ability to document technical processes and resolve assigned technical problems; ability to work independently and collaboratively within multidisciplinary technical teams

• Strong written and verbal communication skills for technical interaction with military, civilian, and contractor personnel

• Meet one of the minimum education and experience combinations: bachelor’s + 3 years; associate’s + 7 years; major professional certification + 7 years; or 11 years recent specialized experience (academic projects/internships/coursework alone do not substitute)

• Specialized experience must demonstrate progressively responsible application of data engineering, data analytics, database development, data visualization, scripting/programming, dashboard development, data quality, analytical workflow development, data integration, or closely related technical capabilities

• Active Secret security clearance, or ability to obtain and maintain required U.S. Government security clearance; U.S. citizenship sufficient to obtain and maintain clearance

• Ability to obtain and maintain TESA accreditation under NATO SOFA Supplementary Agreement and AEA Regulation 715-9

• Ability to follow established processes, maintain accurate documentation, and complete assigned work with appropriate review

• Willingness to travel up to 10%

• Capability to perform duties in classified and unclassified environments and access government information systems per policy

• Bachelor’s degree required

• Python: 2 years required; SQL: 2 years required; Data Analyst: 2 years required; Spark: 2 years preferred