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Dbt Analytics Jobs in Ohio (NOW HIRING)

$80 - $120/hr

Demand Analytics: You analyze the entire buyer funnel - from traffic and awareness through ... Very strong SQL skills; experience with modern data stacks (e.g., Snowflake, dbt, AppsFlyer, or ...

Senior Data Engineer (Snowflake)

Columbus, OH · On-site +1

$102K - $139K/yr

... dbt architecture. The ideal candidate has strong experience building enterprise data pipelines ... Build and optimize data models in Snowflake for analytics and operational reporting. * Develop data ...

Data Engineer III

Cincinnati, OH · On-site

$109K - $132K/yr

... analytics initiatives. Develop robust data pipelines, data models, and high-performance data ... • DBT (Data Build Tool) • DataStage • SQL • Data Modeling • ETL Development Nice to Have ...

Proficiency with Snowflake, DBT, and AWS data services for production data pipelines. Hands-on ... Background working with finance or other business functions to operationalize analytics safely. Why ...

Experience with business intelligence/data analytics tools (Microsoft Power BI, Tableau, etc.)and ... dbt, or similar). Preferred Education * Master's degree in related field Preferred Experience

Data Engineer

Cincinnati, OH

$109K - $131K/yr

Create custom software components and analytics applications. * Research and propose new uses for ... Familiarity with modern data tools like Snowflake and DBT. Req ID: CG45089758

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

... Senior Analytics Engineers * Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and DBT * Lead the development of Data Vault 2.0 models and ensure ...

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

... Senior Analytics Engineers * Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and DBT * Lead the development of Data Vault 2.0 models and ensure ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

... Analytics Engineers Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, and DBT Lead the development of Data Vault 2.0 models and ensure consistency across ...

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

... Senior Analytics Engineers * Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and DBT * Lead the development of Data Vault 2.0 models and ensure ...

Lead Data Engineer

Columbus, OH

$110K - $132K/yr

... Senior Analytics Engineers * Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF) , Databricks , and DBT * Lead the development of Data Vault 2.0 models and ensure ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

... analytics * Practical experience with Snowflake or a similar cloud data warehouse * Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.) * Working knowledge of ...

Analyze data, troubleshoot data issues, and create action plans to address data quality issues ... Proficiency in test automation tools such as Cucumber, Selenium, PyTest, or DBT tests. * Experience ...

Analyze data, troubleshoot data issues, and create action plans to address data quality issues ... DBT tests. Experience with cloud data platforms (GCP, AWS). Familiarity with CI/CD tools (Azure ...

Showing results 21-40

Dbt Analytics information

What is a dbt analytics?

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?

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.

Is dbt analytics in demand?

Dbt analytics roles are increasingly in demand as companies focus on data transformation and analytics workflows. Skills in SQL, data modeling, and tools like dbt are valuable for data analysts and engineers working in modern data environments.

What cities in Ohio are hiring for Dbt Analytics jobs?

Cities in Ohio with the most Dbt Analytics job openings:

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.

QA Testing Analyst - Senior

Huntington National Bank

Columbus, OH • On-site

Full-time

Re-posted 27 days ago


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

65th of 171 rated banks


Job description

Job Summary:
Huntington Bank is looking for a QA Test Automation Lead in their Tech Modernization/Memopost team. The role involves developing automation test strategies and frameworks, ensuring compliance with banking regulatory standards, and collaborating with various technology teams across the enterprise.
Responsibilities:
• Lead quality assurance efforts for multiple concurrent projects focused on data publishing and integration, ensuring alignment with banking regulatory standards.
• Design, implement, and maintain automated testing frameworks and CI/CD pipelines to support scalable and secure operations.
• Develop and execute comprehensive test strategies covering System Integration Testing (SIT).
• Collaborate with data engineers, developers, project managers/scrum masters, and compliance teams to ensure data quality, integrity, and traceability throughout the lifecycle.
• Drive continuous improvement in QA processes
• Design and implement a scalable test automation framework and strategy.
• Create daily/weekly test execution metrics and status reporting.
• Assist the Project Managers/Scrum Masters to drive project team to defect resolution.
• Leverage existing tools/techniques to streamline and automate wherever possible.
• Actively participate in walk-through, inspection, review and user group meetings for quality assurance.
• Actively participate in the review of project requirements, data mappings and technical design specifications.
• Analyze data, troubleshoot data issues, and create action plans to address data quality issues.
• Collaborate with project team on defect analysis and triage.
• Participate in production implementation verification and being accountable for validating system quality.
Qualifications:
Required:
• Bachelor’s degree
• 5+ years of ETL testing experience
• 3+ years of test automation experience
• 2+ Experience leading QA Analysts on a project team
Preferred:
• Experience in financial services (banking) industry.
• Strong experience with SQL, ETL testing,
• Proficiency in test automation tools such as Cucumber, Selenium, PyTest, or DBT tests.
• Experience with cloud data platforms (GCP, AWS).
• Familiarity with CI/CD tools (Azure DevOps).
• Excellent verbal and written communications skills.
• Ability to effectively prioritize and execute tasks.
• Detail oriented and highly motivated with strong organizational, analytical and problem-solving skills.
Company:
Huntington National Bank offers consumer, small business, and commercial banking, mortgages, wealth, and insurance services. It is a sub-organization of Huntington Distribution Finance. Founded in 1866, the company is headquartered in Columbus, USA, with a team of 10001+ employees. The company is currently Late Stage.

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