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OverDrive

Data Analyst (Mid-Level)

🇺🇸 Hybrid - Cleveland, OH

🕑 Full-Time

💰 TBD

💻 Information Technology

🗓️ July 28th, 2025

SQL SSRS Tableau

Edtech.com's Summary

OverDrive is hiring a Mid-Level Data Analyst responsible for performing complex data analysis, defining data architecture needs, and advancing data analytics expertise. The role involves analyzing operational and business data to identify trends, creating reports and visualizations using SQL, R, Tableau, and SSRS, and collaborating with stakeholders to support business objectives.

Highlights
  • Coordinate projects and data needs with colleagues to support team goals.
  • Map and trace data flows and document business data structures.
  • Define analytic requirements with project managers and stakeholders.
  • Analyze operational, business, and experience data to find patterns and correlations.
  • Create data reports and reporting tools to aid enterprise decision-making.
  • Write, audit, and execute SQL and R code for data tasks.
  • Build forecasts and business models.
  • Use Tableau, SSRS, and R for data visualization and reporting.
  • Require a Bachelor’s degree in Data Analysis, Statistics, or related field.
  • Require 2 to 6+ years of relevant experience and strong communication and documentation skills.

Data Analyst (Mid-Level) Full Description

Data Analyst (Mid-Level)
Business Operations & Analytics Cleveland, Ohio

Description

This position will require you to be in Cleveland, OH 
We are in a hybrid schedule, 2 days on campus and 3 days WFH
  
The Data Analyst's responsibilities include performing complex analysis in an evolving data environment, defining data architecture needs, creating use cases for data technologies and advancing our collective awareness of and expertise in data analytics and intelligence. This position will interact with new and existing data to improve data usability and quality, find trends, identify insights and provide thought leadership on how to derive value from those aspects of data. 
 
Responsibilities:     
  • Coordinate projects, data and operational needs with colleagues to support team objectives.
  • Map and trace data from system to system to solve a given business or system problem.  Document the types and structure of the business data (logical modeling).
  • Question, define and coordinate analytic needs with project managers, product owners, marketing specialists and other stake holders to prepare requirements and schedule deliverables.
  • Analyze and mine operational, business and experience data to identify patterns and correlations among various data sources, streams and points.
  • Design and create data reports and reporting tools to help partners across the enterprise in their decision making. 
  • Write, audit and execute basic to complex levels of SQL or R code.
  • Build accurate forecasts and other prolific business models.
  • Utilize tools such as Tableau, SSRS and R to develop and communicate data reports, insights and visualizations.

Requirements:     
  • Bachelor’s Degree in related field (Data Analysis, Statistics, Quantitative Analysis or Statistical Modeling, etc.).
  • 2 – 6+ years’ related experience.
  • Strong documentation and communication skills.
  • Ability to work and thrive in a fast-paced, rapidly-changing environment.
  • Strong attention to detail with excellent organizational skills.
  • Capable of working cooperatively with internal and external customers, as well as being an enthusiastic team player.
  • Basic understanding of and ability to write successful code within applications in use at OverDrive including SQL, SSRS, Tableau, R and others.

What’s Next:
As you’ve probably guessed, OverDrive is a place that values individuality and variety. We don’t want you to be like everyone else, we don’t even want you to be like us—we want you to be like you! So, if you're interested in joining the OverDrive team, apply below and tell us what inspires you about OverDrive and why you think you are perfect for our team.

OverDrive values diversity and is proud to be an equal opportunity employer.


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