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The Data Engineer will assist the senior analyst in complex modeling and projects to ensure their completion within the allotted timeline. Helps track measures of success and develop reports that measure operational and customer metrics. Demonstrates ability to troubleshoot data consumption and data quality problems.

Responsibilities:

• Build and maintain reports using My SQL Server
• Identify optimal data sources, structure data validation, and cache optimization.
• Performs business problem modeling and quantitative analytics including regression analysis, time-series, hierarchical cluster analysis, and data mining.
• Helps track measures of success and develop reports that measure operational and customer metrics.
• Demonstrates ability to troubleshoot data consumption and data quality problems.
• Evaluates and recommend improvements to current models, metrics, and analytic processes to improve operational efficiency and insight.
• Design, document, and communicate effective technical solutions meeting end-user requirements
• Perform analyses with large amounts of complex data, and uses data visualization tools to communicate results.

Requirements:

• Bachelor's degree or equivalent experience in a quantitative field (Mathematics, Statistics, Computer Science, Economics, Finance, Physics, Engineering)
• 3+ years of professional working experience as a Data Engineer or Analyst
• 1-3 years of data warehouse experience
• Build and maintain reports using My SQL Server
• Strong analytical and creative problem-solving skills
• Design, document, and communicate effective technical solutions meeting end-user
• SQL and Excel Macro development
• Strong understanding of various data environments such as SQL, Oracle, Big Query, etc.
• Experience with data visualization tools such as Looker Studio, Tableau, D3.js, etc.
• Proficient in R, Python, MATLAB, Java, or another programming language.