About the role:  

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A Data Analyst for TQL will build scalable reports, visualizations, and models to uncover insights and drive business decisions. They will help identify and resolve issues with existing reports and discover future solutions utilizing industry-leading technologies. Responsibilities include collaborating on large-scale operational questions with an analytical mindset to help the business make informed decisions.
  

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What's in it for you: 

\n\nCompetitive compensation, benefits package, and company perks \nAdvancement opportunities with aggressive and structured career paths \nFlexible work hours and work-from-home options \nAccess to the latest emerging technologies  \nReimbursement for continuous education and technical training \nBe a part of a company with a history of investing in people and technology\nWe win wherever we go – Voted a 2019-2024 Computerworld Best Places to Work in IT
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What you’ll be doing: 

\n\nConsult with end users across multiple departments to understand reporting needs and challenges \nPerform exploratory data analysis and apply statistical methods to identify trends, patterns, and correlations within the data\nTake ownership of reporting and analytic solutions from inception to completion, providing follow-up communication and deliverables until requirements are met \nDeliver results with accuracy and urgency on multiple projects \nProvide quality customer service to a diverse group of internal customers
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What you need: 

\n\nBachelor's degree in Analytics, Computer Science, Economics, Statistics or related \n3-5 years of professional IT experience (internships/co-ops qualify) \nBasic knowledge of a programming language commonly used in data analysis, such as Python or R\nExceptional aptitude for applied mathematics, statistics and computer programming \nSQL Server Management Studio (SSMS) or other Relational Database Management Systems (RDBMS) like MySQL, Oracle, or PostgreSQL\nExposure to data modeling with Star and Snowflake schemas\nFamiliarity of database concepts such as Normalization, Entity Relationship Diagrams, and Row Level Security (RLS)\nStrong verbal and written communication skills\nExposure to data visualization concepts and techniques
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Where you'll be: 4289 Ivy Pointe Blvd, Cincinnati, OH 45245