Job Description:
Total Quality Logistics
Total Quality Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic information, disability or protected veteran status.
If you are unable to apply online due to a disability, contact recruiting at (513) 831-2600 ext. 51454.
About the role:
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.
What's in it for you:
- Competitive compensation, benefits package, and company perks
- Advancement opportunities with aggressive and structured career paths
- Flexible work hours and work-from-home options
- Access to the latest emerging technologies
- Reimbursement for continuous education and technical training
- Be a part of a company with a history of investing in people and technology
- We win wherever we go – Voted a 2019-2024 Computerworld Best Places to Work in IT
What you’ll be doing:
- Consult with end users across multiple departments to understand reporting needs and challenges
- Perform exploratory data analysis and apply statistical methods to identify trends, patterns, and correlations within the data
- Take ownership of reporting and analytic solutions from inception to completion, providing follow-up communication and deliverables until requirements are met
- Deliver results with accuracy and urgency on multiple projects
- Provide quality customer service to a diverse group of internal customers
What you need:
- Bachelor's degree in Analytics, Computer Science, Economics, Statistics or related
- 3-5 years of professional IT experience (internships/co-ops qualify)
- Basic knowledge of a programming language commonly used in data analysis, such as Python or R
- Exceptional aptitude for applied mathematics, statistics and computer programming
- SQL Server Management Studio (SSMS) or other Relational Database Management Systems (RDBMS) like MySQL, Oracle, or PostgreSQL
- Exposure to data modeling with Star and Snowflake schemas
- Familiarity of database concepts such as Normalization, Entity Relationship Diagrams, and Row Level Security (RLS)
- Strong verbal and written communication skills
- Exposure to data visualization concepts and techniques
Where you'll be: 4289 Ivy Pointe Blvd, Cincinnati, OH 45245
Category: Information Technology
PI259522030
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