Analytics Engineer

Location: Dublin, OH / Hybrid

Time Type: Full time

Job Description

Why join OCLC? 

OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions—performance, experience, and skills—along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

• We know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success—both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs. 

• Free use of our on-site fitness center, gym sports, group exercise classes, and game room 

• Onsite catering and cafeteria subsidized by OCLC 

• Health and wellness events 

• Work environments with individual and team spaces and the latest technology tools 

• Paid parental leave and adoption assistance 

• Tuition reimbursement and Public Service Loan Forgiveness eligibility 

• Company-subsidized pricing on local tickets and memberships 

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact. 

The job details are as follows:

As an Analytics Engineer, you will be responsible for designing, developing, and testing software and scalable data solutions. You will collaborate with team members to solve problems, implement new features, and maintain existing systems. You will collaborate with stakeholders and other engineers to define, refine, and implement features and enhancements.

Responsibilities

• Independently write, test, and debug code for assigned tasks.
• Collaborate with other team members to solve problems.
• Contribute to design discussions, code reviews, and documentation.
• Develop and implement new features and functionalities.
• Optimize application performance and scalability.

Qualifications

• Bachelor's degree in computer science, data science, related discipline, or equivalent work experience
• 2-4 years of relevant experience in software development, data engineering, or data analysis.
• Strong proficiency in SQL and programming skills in one or more languages.
• Experience with software development methodologies.
• Ability to work independently and as part of a team.
• Strong problem-solving and analytical skills.
• Knowledge of database systems.
• Experience integrating AI tools, frameworks, and concepts into the software development process.

Required Skills

SQL databases (Snowflake, PostgreSQL), Python, Object-Oriented Design, RESTful APIs, Linux/Unix, Version control (Git, SVN), Data Integration tools (dbt, Informatica)

Desired Skills

Data visualization tools (Power BI), Cloud platforms (AWS, GCP, Azure), CI/CD, Testing frameworks (Playwright, JUnit)

Working Conditions: Normal office environment.

ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.