Data Analyst II

TQL • Cincinnati, OH

1d • Hybrid

About The Position

The Data Analyst II builds scalable reports, visualizations, and models to uncover insights and support business decisions. The role identifies and resolves issues with existing reports, explores future solutions using industry-leading technologies, and collaborates on large-scale operational questions using an analytical approach. The position is based at 4289 Ivy Pointe Blvd., Cincinnati, Ohio, and offers a hybrid work environment with the ability to work remotely 40 hours per month.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Analytics, Computer Science, Business, Economics, or a related field.
• At least 2 years of experience using SQL in a relational database environment.
• At least 2 years of experience building dashboards and reports in Power BI.
• Experience with data-modeling concepts such as star and snowflake schemas.
• Working knowledge of core analytics and database concepts.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent verbal and written communication skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong attention to detail and commitment to high-quality work.
• Ability to work independently and collaboratively within a team.

Nice To Haves

• A master’s degree is preferred.
• Exposure to statistical or analytical techniques such as regression, clustering, or hypothesis testing.
• Experience using programming languages for data analysis, such as Python or R.
• Familiarity with cloud or modern data platforms such as Azure, Databricks, or AWS.

Responsibilities

• Conduct exploratory data analysis using summary statistics and time series analysis to identify trends and patterns in historical data.
• Apply hypothesis testing and correlation analysis to investigate observed trends and relationships between key metrics.
• Develop and refine predictive models using machine-learning algorithms and regression techniques, including multiple linear regression, to forecast outcomes.
• Understand business requirements, make informed decisions, and consult with business partners on data needs.
• Train junior analysts in their daily job functions and help develop their technical proficiency.
• Develop and maintain data visualizations that communicate insights and support data-driven decision-making.
• Create and maintain scalable reports and dashboards using business intelligence tools.
• Own reporting projects from inception to completion, providing follow-up communication and deliverables until requirements are met.
• Work on multiple projects simultaneously while maintaining high documentation standards.
• Use Jira tools, including Jira Service Desk, Jira for Software Applications, and Jira Confluence.

Benefits

• Competitive compensation and performance-based rewards.
• Opportunity to work with industry-leading data and analytics tools.
• Collaborative team environment with strong mentorship and career growth opportunities.
• Hybrid work environment with the ability to work remotely 40 hours per month.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level