Data Engineer/Data Analyst

May 16

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NavAide

We help our clients face challenges and navigate complex transitions.

Systems Engineering • Legacy System Modernization • Data Conversion • Data Cleansing • SAP Modernization

51 - 200

Description

• Responsible for developing and maintaining configuration files, source code, scripts, reports, visualizations, analytics, and algorithms within the designated government environment • Work with client and team to discover data sources, create data requests; utilize the ETL process to ingest and enrich structured and unstructured data; design, implement, ad test data processing pipelines, and data mining/data science algorithms on a variety of hosted settings • Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform • Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material • Import new data sets into an existing application and perform ad hoc analysis • Use Jupiter and Advana platform at an advanced level for data analysis and review • Create data packages in the form of databases (DBs), reports, and interactive visualizations • Provide subject matter expertise (SME) support to team and client on data-related tools such as Tableau, Databricks, Qlik, Advana, Jupiter, Alteryx, etc.

Requirements

• Bachelor’s degree • 7+ years of experience translating business requirements into reporting designs, statistics, predictive and statistical analysis, data cleansing, and visualizing business data • 5+ years of experience using data analytics tools and languages such as Tableau, Qlik, R, Python, etc. • Experience with automation tools such as MS Power Automate and Ui Path • Jupiter and Advana experience required • Experience with development of Systems Specification, Systems Analysis, Systems Architecture, Systems/Equipment Integration, Test & Evaluation Criteria for business systems • Bachelor’s degree from an accredited college or university in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or similar technical degree • Master’s degree preferred • Additional experience may not be substituted for a degree

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service

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