200+ applicants

Company

Original Job Post

DTE Energy · 2 days ago

Data Analyst

Detroit, MI

Full-time

Onsite

Mid Level

3+ years exp

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Responsibilities

Conduct data analysis to make business recommendations (e.g., cost-benefit, forecasting, what-if analysis)

Provide data stewardship by monitoring data elements, cleansing data, and ensuring data accuracy

Develop and manage processes, roles, security access, and data quality to ensure effective data use

Deliver presentations of findings and recommendations to stakeholders, create visual displays of data

Collaborate with stakeholders to understand business needs and provide actionable insights from data analysis

Train and enable self-service reporting capability and use of business intelligence tools

Develop actionable insights from data analysis to improve products, services, and customer satisfaction

Qualification

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Statistical packagesRelational databasesBusiness intelligence toolsResearch designData analyticsTechnical capabilitiesProject managementData interpretationMetrics analysisProgram evaluationData modelingSAPPeopleSoftOracleSQLBI toolsMultivariate statistical analysisBWBOBJProblem-solvingInterpersonalAnalyticalCommunicationBusiness acumenTime managementQuantitative AnalyticsSQL ScriptingETL DesignIndustry ExperienceInterdisciplinary Collaboration

Required

Bachelor's degree and 3+ years of experience working in a data and analytical function

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 in-depth analysis to support decision making

Excellent interpersonal, analytical and problem-solving skills, including the ability to communicate technical information and complex data analytics to a non-technical audience

Demonstrated proficiency in Business Intelligence (BI) tools (e.g, Webi, Analysis, Lumira, Tableau, etc)

Intermediate knowledge of applied research design, including multivariate statistical analysis

Demonstrated self-starter in advancing skillset in data, analytics, and technical capabilities

Ability to manage multiple projects at one time and meet tight deadlines

Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation

Distinctive problem-solving skills and strong business acumen

Capable of translating analysis results into business recommendations

Strong written and verbal communication skills

Skilled in the data model and functionality of BW and BOBJ (Business Objects) tools

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 with 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