About Evolutyz Corp

Evolutyz Corp, a vibrant, award-winning, woman-owned IT consulting firm headquartered in Naperville, IL. We are passionate about innovation and committed to driving business transformation with our custom technical solutions. As a certified MBE enterprise, we promote a diverse and inclusive work environment where your ideas are valued. At Evolutyz, you’ll find the perfect opportunity to grow your career, make an impact, and collaborate with a team that supports your professional journey. Discover how you can thrive with us at https://www.evolutyz.com/

Job Description

Experience Required for This Role

• Analyzing user data and metrics to drive specific business goals
• Using data to isolate problems and develop solutions
• Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
• Providing insights and recommendations based on data
• Bridging the data divide between technical, product, and customer-facing teams
• Developing and applying data models to improve the collection and analysis of data
• Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
• Engaging in data experiments that provide cross-persona or enterprise-level analysis
• Data cleansing, optimizing, and ETL
• Developing and analyzing user surveys
• Organizing and storing data and queries for easy access in future work projects
• Documenting data collection and analysis procedures
• Preparing and executing ROI analysis
  
  

Technical Expertise

• Managing data pipelines, ETL processes, and databases (e.g., SQL, Power BI, Azure Data Lake)
• Proficiency in Python or R for data manipulation and analysis.
• Data modeling, data governance, and data quality best practices
• Administering analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
• Using business intelligence tools like Tableau or Power BI
• Data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
• Leveraging statistical analysis and algebra
• Leveraging economics, business/systems analysis, and quality assurance
• Manipulating large, complex data sets
• Documenting data processes and configurations