Senior ELT Analytics Specialist; Database Administration Specialist , PN

Job Details

Job Title:

Senior ELT Analytics Specialist (Database Administration Specialist 2, PN ) (2600000J)

Agency:
Workers' Compensation

Unposting Date:
Jan 20, 2026

Work Location:

William Green Building 30 West Spring Street Columbus

Primary

Location:

United States of America-OHIO-Franklin County-Columbus

Compensation: $40.59 – $59.70

Schedule:

Full‑time (8:00am – 5:00pm)

Union: OCSEA

Primary Job Skill:
Database Administration

With roughly 1,500 employees in seven offices across Ohio, BWC is the state agency that cares for Ohio workers by promoting a culture of safety at work and at home and ensuring quality medical and pharmacy care is provided to injured workers.

Our Culture: BWC is a dynamic organization that offers career opportunities across many different disciplines. BWC strives to maintain an inclusive workplace. We begin by being an equal‑opportunity employer. Employees can participate in and lead employee work groups, participate in online forums and learn about how different perspectives can improve leadership skills.

Our Vision: To transform BWC into an agile organization driven by customer success.
Our Mission: To deliver consistently excellent experiences for each BWC customer every day.
Our Core Values: One Agency, Personal Connection, Innovative Leadership, Relentless Excellence.

What our employees have to say:

• BWC has been a great place to work as it has provided opportunities for growth that were lacking in my previous place of work.
• I have worked at several state agencies and BWC is the best place to work.
• Best place to work in the state and with a sense of family and support.
• I love the work culture, helpfulness, and acceptance I've been embraced with at BWC.
• I continue to be impressed with the career longevity of our employees, their level of dedication to service, pride in their work, and vast experience. It really speaks to our mission and why people join BWC and then retire from BWC.

We are seeking a highly skilled Senior ELT Developer / Data Warehouse Engineer to join our Data Warehouse team. In this role, you will design, develop, and optimize data solutions that power enterprise reporting, analytics, and business intelligence. You will work across multiple environments, support mission‑critical data operations, and collaborate with technical and business leaders to deliver high‑quality, scalable data systems.

This position is ideal for someone who thrives in complex data environments, enjoys mentoring others, and is passionate about building robust, high‑performance data pipelines and architectures.

• Design, develop, test, implement, and support complex platform‑specific ELT code using tools such as Python, SQL, Snowflake, Stream Sets, and DBT
  .
• Perform data migrations and design business process monitoring solutions.
• Implement high‑availability and disaster‑resilient solutions across multiple data warehouse and reporting environments.
• Monitor load balancing and tune system parameters to ensure optimal performance across databases (e.g.,
  Oracle, Snowflake
  ).
• Provide Tier II technical support for database and ELT issues, including performance, availability, data integrity, security, and customer‑reported concerns.

• Define and support Data Warehouse business intelligence designs.
• Assist in implementing Data Warehouses and data marts.
• Implement custom SQL solutions and data extracts for business customers.
• Build and support enterprise reporting, dashboards, scorecards, and analytic applications (e.g.,
  Python, R).
• Replicate and transform data to support analytics and BI initiatives.
• Develop and maintain documentation, including installation procedures, monitoring guides, security policies, configuration changes, and migration processes.
• Write platform‑specific code to support data migrations across development, UAT, performance, beta‑production, and production environments.

• Conduct performance tuning across multiple environments and platforms.
• Design standards for data exchange between internal systems and external entities, including data security models,…