DTE is looking to derive insight from business data to support better business decisions through statistical predictive analysis.
Requirements
- Background or coursework in in-depth quantitative analytics
- Experience in scripting with SQL, extracting large sets of data, and design of ETL flows
- Intermediate-level experience with statistical packages (e.g, R, SAS, SPSS, Stata, MATLAB, etc)
- Experience articulating product questions, pulling data from relational databases technologies (e.g SAP, PeopleSoft, ORACLE, SQL), using statistical tools to solve business problems, and to conduct indepth analysis to support decision making
- Proficiency in Business Intelligence (BI) tools (e.g, Webi, Analysis, Lumira, Tableau etc)
- Self-starter in advancing skillset in data, analytics and technical capabilities
- Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation
Responsibilities
- 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.
Other
- This position is not eligible for visa sponsorship currently.
- This role is hybrid, with an established schedule of in-person work required at an assigned work location.
- Must be available to perform a primary assignment in support of DTE’s emergency response to storms or other events that impact service to our customers.
- Excellent interpersonal, analytical and problem solving skills, including ability to communicate technical information and complex data analytics to a nontechnical audience
- Ability to manage multiple projects at one time and meet tight deadlines
