Data Analyst

Job Title: Data Analyst Duration: 23 months (Possible Extension/Conversion) Location: Detroit, MI (Hybrid 3-Days Onsite) Job Summary: Intermediate job responsible for collecting, reviewing, validating and structuring business data for interpretation. Performs statistical, quantitative, and/or predictive analysis to derive insight and support better business decisions. This role also includes the responsibility of serving as the data steward for all data within the discipline. Additionally, this role requires you to teach others the tools, techniques and best practices in self-service reporting and data handling. Key Accountabilities: • Conducts data analysis to make business recommendations (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.) • Provides data stewardship through ongoing monitoring of data elements, strategic planning on entry points, • cleansing plans, data sources, structural design of data model, and integration with other systems. • 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 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 • • • focus on key decisions to improve products, services, and customer satisfaction. Minimum Education & Experience Requirements: • 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 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 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/crossfunctional field. • Utility or customer-oriented industry experience Other Requirements: • Excellent interpersonal, analytical and problem solving skills, including ability to communicate technical information and complex data analytics to a nontechnical 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.