Senior Data Insights Engineer - Dashboards & Analytics

Relha LLC

United States

On-site

USD 110,000 - 190,000

Full time

3 days ago
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Job summary

Deloitte’s GPS practice is seeking a Senior Data Analyst to advance analytics and insights across federal, state, and local government clients. You will maintain dashboards, build new analytics pipelines, and identify automation opportunities to improve data collection and reporting outcomes.

The role involves designing analytics and machine learning models, handling 100M+ row datasets, and training client personnel on tools and dashboards.

Qualifications

  • 5+ years of professional data analytics experience using Excel, including 2+ years of data manipulation.
  • 1+ years of experience with Python and Power BI.
  • Experience with big data analysis, data visualization, data pipelines, and SQL database administration and/or SQL programming.
  • Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Responsibilities

  • Maintain and enhance dashboards and data pipelines that support strategic and investigative efforts.
  • Develop new dashboards and pipelines based on evolving client analytical requirements.
  • Identify automation opportunities and implement solutions for data collection, processing, and reporting.
  • Collate and analyze client data sets of 100M+ rows to support investigative and strategic needs.
  • Design analytics and machine learning models and train client personnel on dashboards and analytical tools.

Skills

Python
Power BI
SQL
Data visualization
Data analytics
Excel
Leadership

Tools

Excel

Job description

Deloitte’s GPS practice is seeking a Senior Data Analyst to advance analytics and insights across federal, state, and local government clients. You will maintain dashboards, build new analytics pipelines, and identify automation opportunities to improve data collection and reporting outcomes.

The role involves designing analytics and machine learning models, handling 100M+ row datasets, and training client personnel on tools and dashboards.

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