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Manager Data Analytics Engineer 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 ... Comfort with the command line: run scripts, manage files, and troubleshoot basic shell operations.

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 ... Comfort with the command line: run scripts, manage files, and troubleshoot basic shell operations.

Palmer Holland

Analytics Engineer

Westlake, OH · On-site

... data pipeline operations, enterprise integrations, security architecture, identity/access management, CI/CD infrastructure, release frameworks, ERP/CRM systems of record, or advanced AI model ...

Educate!

You have managed managers, not only individual contributors. * You have built or substantially grown a data or analytics team, and can speak to hiring, leveling, and developing analysts and engineers.

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.

Pwc

Data Engineer - Manager

Cincinnati, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Manager

Columbus, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Manager

Cleveland, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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.

centralins

Data Analytics Manager

Van Wert, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for delivering datadriven insights and advancing enterprise data capabilities. In this role, you will ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Qualifications : Required : • Bachelor's degree in Industrial Engineering, Logistics, or ... management, or process optimization • Hands-on experience with ERP systems, ideally SAP R/3 or S ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ... Strong change management skills and comfort navigating ambiguity at the senior client level.

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Ohio

Manager Data Analytics Engineer information

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Ohio? The most popular types of Data Analytics Engineer jobs in Ohio are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Ohio? For Manager Data Analytics Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Ohio look for? The top searched job categories for Manager Data Analytics Engineer jobs in Ohio are:
What cities in Ohio are hiring for Manager Data Analytics Engineer jobs? Cities in Ohio with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Analytics Engineer, Data Platform

Analytics Engineer, Data Platform

AndHealth

Columbus, OH • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 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.

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