ZipRecruiter

Log In

1

Data Analytics Engineer Jobs in Columbus, OH (NOW HIRING)

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110.60K - $132.80K/yr

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 ...

AndHealth

Analytics Engineer, Data Platform

Columbus, OH · On-site

$110.60K - $132.80K/yr

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 ...

OCLC, Inc.

Analytics Engineer

Dublin, OH · On-site

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.

OCLC, Inc.

Analytics Engineer

Dublin, OH · On-site

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.

Bath & Body Works

Sr. Data Analytics Analyst

Columbus, OH

$83.10K - $104.80K/yr

Partner with multi-functional teams across Digital, Data Science, Data Engineering, and Marketing to define business questions and deliver data-driven solutions * Analyze data to uncover insights ...

New

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · Hybrid

$57/hr

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role ...

NiSource, Inc.

Manager Data and Analytics

Columbus, OH · On-site

$133.40K - $200.10K/yr

Oversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

next page

Showing results 1-20

People also search for

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Columbus, OH

Data Analytics Engineer information

See Columbus, OH salary details

$41.8K

$121.8K

$166.7K

How much do data analytics engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for data analytics engineer in Columbus, OH is $121,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Columbus, OH? The most popular types of Data Analytics Engineer jobs in Columbus, OH are:
What are popular job titles related to Data Analytics Engineer jobs in Columbus, OH? For Data Analytics Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Columbus, OH look for? The top searched job categories for Data Analytics Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Analytics Engineer jobs? Cities near Columbus, OH with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 82% Full Time, 6% Part Time, and 12% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $121,840 per year, or $58.6 per hour.
Analytics Engineer, Data Platform

Analytics Engineer, Data Platform

AndHealth

Columbus, OH • On-site

$110.60K - $132.80K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 24 days 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