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Dbt Analytics Jobs in Ohio (NOW HIRING)

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110K - $132K/yr

Analytics Engineer, Data Platform Full Time Columbus, Ohio AndHealth is on a mission to radically ... Design, build, and maintain dbt models that transform raw clinical, pharmacy, billing, and care ...

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110K - $132K/yr

Analytics Engineer, Data Platform Full Time Columbus, Ohio AndHealth is on a mission to radically ... Design, build, and maintain dbt models that transform raw clinical, pharmacy, billing, and care ...

AndHealth

Analytics Engineer, Care Operations

Columbus, OH · On-site

$67K - $90K/yr

Analytics Engineer, Care Operations Full Time - Exempt Columbus, Ohio AndHealth is on a mission to ... You'll be just as comfortable deep in a dbt model or a gnarly SQL query as you are in a room with a ...

AndHealth

Analytics Engineer, Care Operations

Columbus, OH · On-site

$67K - $90K/yr

Analytics Engineer, Care Operations Full Time - Exempt Columbus, Ohio AndHealth is on a mission to ... You'll be just as comfortable deep in a dbt model or a gnarly SQL query as you are in a room with a ...

Educate!

You will operate as a "full-stack analyst" leader: technically fluent in SQL, dbt, and cloud warehousing, while acting as a people leader and a trusted cross-functional partner to Technology ...

Harnham

Staff Analytics Engineer

Columbus, OH · On-site

$170/hr

Staff Analytics Engineer Location: Columbus, OH| Hybrid Salary: $170-200k base We're partnering ... Strong background with modern data stack tools such as dbt, Redshift, and enterprise BI platforms

RevSpring

Senior Data Engineer - Analytics

Columbus, OH · On-site

$102K - $139K/yr

... DBT, S3, Airbyte, Confluent. • Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc. • Proficiency in leveraging ...

OCLC, Inc.

Analytics Engineer

Dublin, OH · On-site

As an Analytics Engineer, you will be responsible for designing, developing, and testing software ... tools (dbt, Informatica) Desired Skills Cloud platforms (AWS, GCP, Azure), CI/CD, Testing ...

Gifthealth

Manager, Reporting & Analytics

Columbus, OH · On-site

$115K - $165K/yr

Experience with dbt, data warehouse design, and modern analytics engineering practices * Strong communication skills - you can translate data complexity into clear narratives for non-technical ...

giftHEALTH Inc

Manager, Reporting & Analytics

Columbus, OH · On-site

$115K - $175K/yr

Experience with dbt, data warehouse design, and modern analytics engineering practices * Strong communication skills -- you can translate data complexity into clear narratives for non-technical ...

RevSpring, Inc.

Senior Data Engineer - Analytics

Columbus, OH · On-site

$102K - $139K/yr

... DBT, S3, Airbyte, Confluent. * Experience creating and maintaining analytic semantic layers and ... business intelligence dashboard such as Looker, PowerBI, Tableau, etc. * Experience owning data ...

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

... as dbt . * Build new warehouse functionality, curated data models, marts, and tables that support reporting, analytics, operations, and stakeholder decision-making. * Support BI and reporting ...

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

... dbt, Azure Data Factory, SSIS); • Design, develop, enhance and support business intelligence systems primarily using Microsoft Power BI; • Collect, analyze and document user requirements; • ...

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Dbt Analytics information

What is a dbt Analytics job?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a DBT Analytics professional, and why are they important?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a Dbt Analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

What are popular job titles related to Dbt Analytics jobs in Ohio? For Dbt Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Dbt Analytics jobs in Ohio look for? The top searched job categories for Dbt Analytics jobs in Ohio are:
What cities in Ohio are hiring for Dbt Analytics jobs? Cities in Ohio with the most Dbt Analytics job openings:
Dbt Analytics jobs near you
Infographic showing various Dbt Analytics job openings in Ohio as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution.

Analytics Engineer, Data Platform

AndHealth

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 hours ago

Job description

Analytics Engineer, Data Platform
Full Time
Columbus, Ohio
AndHealth is on a mission to radically improve access and outcomes for the most challenging chronic health conditions, with the goal of making world-class specialty care accessible and affordable to all. We partner with health systems, community health centers, and independent practices to remove barriers to care to ensure all people have access to the care they deserve.
We are building the data foundation that will power AndHealth's self-service analytics organization. As an Analytics Engineer, Data Platform, you will own a critical piece of that foundation from raw data ingestion to curated data products that analysts, clinicians, and business stakeholders can trust and use independently.
You will work closely with Data and Software Engineering on ETL pipelines, build and maintain dbt models that encode domain-specific business logic, and help stand up the semantic layer and BI tooling (we use Omni) that enables self-service across the organization. This is a full-stack data role: you are equally comfortable in the weeds of SQL and dbt as you are thinking about how a metric should be defined for a care operations team.
This role sits within a small, growing Analytics Engineering team and is an opportunity to shape the platform from the ground up.
What you'll do in the role:
  • Design, build, and maintain dbt models that transform raw clinical, pharmacy, billing, and care operations data into clean, reliable, domain-specific data marts.
  • Partner with Data and Software Engineering on ETL pipeline design, data ingestion, and raw-to-staging transformations by ensuring data arrives in a form that AE can work with.
  • Develop and own the semantic layer in Omni by defining governed metric definitions, curated datasets, and self-service data products that analysts and stakeholders can consume directly.
  • Build a thorough testing suite across the data platform: schema tests, data quality checks, anomaly detection, and SLA monitoring to ensure stakeholders can trust what they see.
  • Implement and maintain data governance practices including lineage documentation, cataloging, access control, and column-level documentation in dbt.
  • Become a domain expert in your assigned area (pharmacy operations, billing, or care operations) by deeply understanding the business logic and translating it into accurate, scalable data models.
  • Work closely with analysts to understand their data needs, accelerate their workflows, and reduce time spent on ad hoc data prep - enabling them to focus on higher-order analysis and strategy.
  • Contribute to platform-level decisions: warehouse organization, modeling conventions, CI/CD for dbt, and tooling standards across the AE team.
  • Proactively identify data quality issues, gaps in coverage, and opportunities to improve the reliability and usability of the data platform.

Education & Licensure Requirements:
  • Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.

Other Skills or Qualifications:
Required
  • Strong SQL proficiency: comfortable writing complex queries, CTEs, window functions, and performance-optimized transformations across large datasets.
  • Hands-on experience with dbt (Core or Cloud): you understand the modeling layer, ref() dependencies, tests, macros, and how to structure a well-organized dbt project.
  • Solid understanding of data warehouse concepts: dimensional modeling, mart layers, slowly changing dimensions, and how to think about the staging / intermediate / mart separation.
  • Experience working with ETL/ELT pipelines and partnering with data or software engineers on data ingestion.
  • Comfort with the command line: run scripts, manage files, and troubleshoot basic shell operations. You don't need to be a sysadmin, but you're not afraid of a terminal.
  • Strong analytical instincts: able to interrogate data, identify anomalies, trace root causes, and communicate findings clearly to both technical and non-technical audiences.
  • Comfort working in ambiguous, fast-moving environments with competing priorities.
Preferred
  • Experience with a semantic layer or BI tool such as Omni, Looker, Metabase, or similar - especially defining metrics, dimensions, and governed data products.
  • Familiarity with healthcare data: clinical, pharmacy, billing, or claims data from EHRs, TPAs, or pharmacy operating systems.
  • Experience with data quality frameworks, testing strategies, or anomaly detection in a production data environment.
  • Exposure to data governance tooling: data catalogs, lineage tracking, or column-level documentation.
  • Python or another scripting language for data tasks or pipeline work.

Here's what we'd like to offer you:
  • Equal investment and support for our people and patients.
  • A fun and ambitious start-up environment with a culture that takes on big things, takes risks, and learns quickly.
  • The ability to demonstrate creativity, innovation, and conscientiousness, and find joy in working together.
  • A team of highly skilled, incredibly kind, and welcoming employees, every one of whom has something unique to offer.
  • We know that the overall success of our business is a collaborative effort, and we strive to provide ongoing opportunities for our employees to learn and grow, both personally and professionally.
  • Full-time employees are eligible to participate in our benefits package which includes Medical, Dental, Vision Insurance, Company, and Paid time off, Short- and Long-Term Disability, and more.

We are an equal opportunity and affirmative action employer. We embrace diversity and are committed to creating an inclusive environment for all employees. Applicants will be considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, disability, or veteran status.

Apply