Job Description

STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!

Title: Senior Data Analyst 
Location: Detroit, MI Hybrid (3 days onsite T,W,T)
Duration: 12 Months
Role Type: W2 contract engagement

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 Company business requirements and solutions. 
• Develops and delivers effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information through scorecards and dashboards. 
• Develops, modifies, and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. 
• Collaborates with cross-functional stakeholders to understand their business needs, formulate complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. 
• Trains and enables self-service reporting capabilities and the use of business intelligence tools for their supported business unit(s). 
• Develops a vision and roadmap for analytics across a functional group / business unit. 

Minimum Education & Experience

• Bachelor's degree and 7+ years of experience working in a data and analytical function, including in-depth quantitative analytics 

Additional 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.  
• Distinctive problem-solving skills and strong business acumen. 
• Capable of translating analysis resulting into business recommendations. 
• Strong written and verbal communication skills.