Description
Job Summary
- Entry level job responsible for collecting, reviewing, validating and structuring business data for interpretation. Performs statistical predictive analysis to derive insight and support better business decisions.
Key Accountabilities
- Conducts data analysis to make business recommendations (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.)
- Owns data cleansing and accuracy for various data elements used publicly.
- Develops and manages processes, roles, security access, standards, data quality/integrity, etc. to ensure effective and efficient use of data throughout the enterprise.
- Ensures business process consistency and integration with other functional domains in order to meet DTE business requirements and solutions.
- Delivers effective presentations of findings and recommendations to multiple levels of stakeholders, creates visual displays of quantitative information.
- Develops, modifies, and automates reports, iteratively builds and prototypes dashboards to provide insights at scale, solving for analytical needs.
- Collaborates with cross-functional stakeholders to understand their business needs, formulates complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations, through scorecards and dashboards.
- Trains and enables self-service reporting capability and use of business intelligence tools for their supported business unit(s).
- Develops actionable insights from in-depth data analysis to help DTE Energy focus on key decisions to improve products, services, and customer satisfaction.
Minimum Education & Experience Requirements
- Minimum: Bachelor's degree.
- Individuals who will be obtaining their degree within nine months from submitting interest will be considered; however, verification of the degree will be required prior to starting in the job
Other Qualifications
Preferred
- Bachelor's or Master's degree with emphasis on coursework of a quantitative nature (e.g, Statistics, Computer Science, Engineering, Mathematics, Data Sciences, Industrial/Organizational Psychology and Business Economics, etc)
- Background or coursework in in-depth quantitative analytics
- Experience in scripting with SQL, extracting large sets of data, and design of ETL flows
- Work experience in an interdisciplinary/cross-functional field
- Utility or customer-oriented industry experience
Contact
DTE Energy
2000 2nd Ave
Detroit
Michigan États-Unis
www.dteenergy.com
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