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Manager Data Analytics Engineer Jobs in Ohio (NOW HIRING)

Data Analytics Engineer

Cincinnati, OH · On-site

$109.90K - $131.90K/yr

Optimize and manage existing reports. * Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions. * Ensure data quality and integrity ...

Data Analytics Engineer

Westlake, OH · On-site

$106K - $127.30K/yr

Description Position Summary The Data Analytics Engineer is responsible for designing, developing, and delivering high-impact data visualizations, dashboards, and analytical products that enable ...

Data Analytic Engineer II

Wooster, OH · On-site

$99.80K - $119.80K/yr

A Data & Analytics Engineer II is a resource on the Data Management Team that is responsible for designing, developing, and maintaining enterprise data solutions while also delivering high-quality ...

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

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

Data Analytic Engineer II

Wooster, OH · On-site

$99.80K - $119.80K/yr

A Data & Analytics Engineer II is a resource on the Data Management Team that is responsible for designing, developing, and maintaining enterprise data solutions while also delivering high-quality ...

Manager Data and Analytics

Columbus, OH · On-site

$133.40K - $200.10K/yr

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way ... data engineering, data prep, data governance, data stewardship, visualization, alerting and ...

Ensure accuracy, consistency, and integrity of data across all analytics and reporting outputs ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

Ensure accuracy, consistency, and integrity of data across all analytics and reporting outputs ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

... analytics team. This role will lead the delivery of data-driven insights that support key business ... programming or scripting languages such as Python or R • Experience mentoring or supporting the ...

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.

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.

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 ...

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 ...

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Showing results 1-20

Manager Data Analytics Engineer information

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.

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 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 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.

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 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:

Data Analytics Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$109.90K - $131.90K/yr

Contractor

Posted 23 days ago


Job description

Hi,
Hope your are doing well. 

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.  


Role: DATA ANALYTICS ENGINEER

Location: Cincinnati, OH (onsite)

We are forward-thinking organization committed to harnessing the power of data to drive business success. We are seeking a skilled Data Visualization Developer with expertise in Spotfire and AWS Redshift to join our team and help us build and maintain robust data infrastructure.

 

Responsibilities:

  • Design, develop, and maintain reports using Tibco Spotfire
  • Optimize and manage existing reports.
  • Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
  • Develop and maintain documentation for data processes and architecture.
  • Stay updated with the latest trends and best practices in data engineering and AWS technologies.

 

Requirements:

  • Bachelor's degree in computer science, Information Technology, or related field.
  • Proven experience as a Data Engineer, with a focus on AWS Redshift.
  • Strong proficiency in SQL and database management.
  • Strong proficiency in Tibco Spotfire.
  • Familiarity with AWS services such as AWS Quick sight, AWS redshift
  • Knowledge of data warehousing concepts and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge on CICD process

 

Preferred Qualifications:

  • Certifications in Tibco Spotfire
  • Knowledge of programming languages such as Python, SQL etc.
  • Understanding of data governance and security practices.