Senior Data Analyst
Strategic Staffing Solutions has an exciting new long term contract available at a leading utilities company in Detroit!
W2 ONLY, NO CORP TO CORP
Location: Detroit, MI
Hybrid-3 days/week on site in Detroit. 2 days remote.
CANDIDATES MUST BE LOCAL IN MICHIGAN. WE ARE NOT OPEN TO RELOCATION.
Job Description:
Strong SAS and SQL experience required.
Key Accountabilities
• Helps determine enterprise data needs and data strategy, including the development of data policies and standards.
• 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.
• Develops and manages processes, roles, security access, standards, data quality/integrity, etc. to ensure effective and efficient use of data throughout the enterprise.
• 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 critical data elements used publicly.
• Ensures business process consistency and integration with other functional domains in order to meet DTE business requirements and solutions.
Minimum Education & Experience Requirements
• 7+ years of experience working in a data and analytical function, including 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
Other Requirements
• Advanced skills with statistical packages (e.g R, SAS, SPSS, Stata, MATLAB, etc).
• Expert knowledge of applied research design, including multivariate analysis
• Experience articulating product questions, pulling data from relational databases technologies (e.g SAP, PeopleSoft, ORACLE, SQL) and using statistics tools to solve business problems, and to conduct indepth analysis to support decision making.
• Demonstrated proficiency in Business Intelligence (BI) tools (e.g Webi, Analysis, Lumira, Tableau, etc)
• Excellent interpersonal, analytical and problem-solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience
• Skilled in the data model and functionality of BW and BOBJ (Business Objects) tools.
• Demonstrated self-starter in advancing skillset in data, analytics and technical capabilities
Strategic Staffing Solutions has an exciting new long term contract available at a leading utilities company in Detroit!
W2 ONLY, NO CORP TO CORP
Location: Detroit, MI
Hybrid-3 days/week on site in Detroit. 2 days remote.
CANDIDATES MUST BE LOCAL IN MICHIGAN. WE ARE NOT OPEN TO RELOCATION.
Job Description:
Strong SAS and SQL experience required.
Key Accountabilities
• Helps determine enterprise data needs and data strategy, including the development of data policies and standards.
• 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.
• Develops and manages processes, roles, security access, standards, data quality/integrity, etc. to ensure effective and efficient use of data throughout the enterprise.
• 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 critical data elements used publicly.
• Ensures business process consistency and integration with other functional domains in order to meet DTE business requirements and solutions.
Minimum Education & Experience Requirements
• 7+ years of experience working in a data and analytical function, including 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
Other Requirements
• Advanced skills with statistical packages (e.g R, SAS, SPSS, Stata, MATLAB, etc).
• Expert knowledge of applied research design, including multivariate analysis
• Experience articulating product questions, pulling data from relational databases technologies (e.g SAP, PeopleSoft, ORACLE, SQL) and using statistics tools to solve business problems, and to conduct indepth analysis to support decision making.
• Demonstrated proficiency in Business Intelligence (BI) tools (e.g Webi, Analysis, Lumira, Tableau, etc)
• Excellent interpersonal, analytical and problem-solving skills, including ability to communicate technical information and complex data analytics to a non-technical audience
• Skilled in the data model and functionality of BW and BOBJ (Business Objects) tools.
• Demonstrated self-starter in advancing skillset in data, analytics and technical capabilities
