LOCATION:

4910 Tiedeman Road - Brooklyn, Ohio 44144
This role is not eligible for employment visa sponsorship. This will be hybrid position with an onsite expectation of 3 days in our Cleveland or Buffalo/Amherst location.
ABOUT THE JOB (JOB BRIEF): Under some supervision, the Lead Data & Business Intelligence Associate is primarily responsible for the sourcing, manipulation, preparation, and validation of data for consumption – which may be in the form of production reports or as analytical data sets to answer questions or to perform predictive analysis. The Lead Data & Business Intelligence Associate uses queries and data mining to produce reports involving moderately complex descriptive analysis that provide answers to questions such as “How do I measure?” and “What happened?” Through reoccurring reporting and analysis of more complex data, the Lead Data & Business Intelligence Associate will develop and maintain reports for various business partners using data from multiple sources. Success criteria include: leveraging business acumen and anticipation of business partner needs to generate own work / analyses; developing a “client ready” work product; and collaboration with the team, technology partners, and business partners to provide datasets, reports, and business intelligence solutions.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree (or its equivalent) in Data Analytics, Business Management, Finance, Economics, Engineering, Computer Science, Management Information Systems, or Statistics (or other related field) and at least minimum of 3 years of relevant experience; or minimum of 1 year with Master’s or PhD
  Proficient in: Intermediate/advanced query writing/coding including complex joins
  Intermediate/advanced data visualization tools (e.g., Power BI, Tableau, Looker)
  Analytical programming language capabilities (e.g., Python)
  Knowledge or Skill in: Google Cloud Platform (e.g., BigQuery, Composer)
  Process Improvement and Optimization
  Proving out ideas and concepts – demonstrating the “art of the possible”
  Upcoming and emerging technologies (e.g., AI, additional tool sets, etc.)
  Exploratory capabilities of tables and data

Please refer the Job description for details