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Data Analytics Manager Jobs in Union, KY (NOW HIRING)

Data Strategy-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Data Governance- Manager

Cincinnati, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Showing results 21-40

Data Analytics Manager information

See Union, KY salary details

$28.4K

$89K

$157.5K

How much do data analytics manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analytics manager in Union, KY is $88,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $114,900.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are popular job titles related to Data Analytics Manager jobs in Union, KY?

For Data Analytics Manager jobs in Union, KY, the most frequently searched job titles are:

What cities near Union, KY are hiring for Data Analytics Manager jobs?

Cities near Union, KY with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Union, KY as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $88,965 per year, or $42.8 per hour.

Sr. Data Governance Analyst - Business Data & Analytics

Great American Insurance Group

Cincinnati, OH • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

56th of 310 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

Business Data & Analytics is seeking a Senior Data Governance Analyst to own and support multiple Enterprise Data Management initiatives that enable trusted, well governed data for enterprise decision making, analytics, and AI-driven use cases. This role partners with Business Units, Data Owners, Data Stewards, and technical teams to translate business needs into actionable governance outcomes, ensuring data is clearly defined, fit-for-purpose, and consumable for reporting, analytics, and AI.


Success in the role requires strong stakeholder engagement, the ability to operationalize governance outcomes, and a working understanding of how high quality, well governed data supports analytics and AI initiatives across the enterprise.

Primary Focus: AI Enabled Governance Outcomes

Deliver three AI-enabled governance outcomes:

  • Glossary automation - Accelerate creation and maintenance of business terms using Company-approved AI, with steward/owner review and accountability.

  • Metadata enrichment - Improve metadata completeness (ownership, definitions, relationships, key attributes) to increase discoverability and AI readiness.

  • Governed data lifecycle - Embed governance checkpoints for analytics/AI data (definitions/ownership, lineage, quality thresholds, usage constraints, responsible use).

Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core inoffice days are Tuesday-Thursday, with the fourth day determined by business needs.

Essential Job Functions & Responsibilities

  • Drive end-to-end governance framework and delivery across prioritized domains (glossary, data quality expectations, and catalog/metadata readiness).

  • Define and standardize business terms, definitions, and ownership; maintain the enterprise business glossary aligned to reporting and AI use.

  • Use AI to accelerate glossary and metadata workflows while ensuring required human review, approval, and accountability.

  • Establish and operationalize data quality rules/thresholds that support fit-for-purpose reporting, analytics, and AI.

  • Drive catalog readiness and metadata enrichment (definitions, relationships, ownership, usage constraints) with technical governance partners.

  • Partner with analytics/AI teams to ensure training datasets meet governance requirements before broader promotion.

  • Enable adoption through clear, business-friendly facilitation and communications that position governance as an accelerator.

Job Requirements

  • Bachelor's degree in Business Analytics, Information Systems, Computer Science, or related fields.

  • 6 or more years of Data Governance or related experience.

  • Strong facilitation and communication skills; able to drive alignment across diverse stakeholders.

  • Proven ability to prioritize, work independently, and deliver in a dynamic environment.

  • Strong understanding of governance concepts (data quality, metadata, lineage) and their impact on analytics/AI outcomes.

  • Experience with governance/catalog tools; experience managing glossary, terms, data standards is a plus.

  • Experience governing analytics, AI or ML datasets and partnering with analytics/data science teams is strongly preferred.

  • Strong analytical and problem-solving skills required.

  • Demonstrated ability to use Company-approved AI responsibly, prompting, and validating outputs and owning final deliverables.

What Success Looks Like

  • Stakeholders trust enterprise definitions and data quality for reporting, analytics, and AI.

  • Measurable progress on glossary automation, metadata enrichment, and governed training datasets.

  • Governance is experienced as an enabler of speed, insight, and innovation. Not a blocker.

Business Unit:

Business Data and Analytics

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

*Excludes seasonal employees and interns.


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