1

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

Function as an analytics and reporting expert for assigned functions by executing standard reports ... levels of management * Create SOPs and maintain documentation for processes * Demonstrate ...

Partnered with business stakeholders and technical teams to transform complex data into actionable insights through advanced analytics, visualization, and reporting tools. Key Responsibilities:

New

Arthur Lawrence is looking for a Data Analyst one our clients in Lexington, KY. Please find the ... Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business ...

Use data and statistical analysis to drive business decisions and target improved results across ... Manage filing schedules for aligned products. * Prepare and complete predictive analytics analysis ...

next page

Showing results 1-20

Data Analytics Manager information

See Lexington, KY salary details

$30.8K

$96.6K

$171K

How much do data analytics manager jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data analytics manager in Lexington, KY is $96,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $124,700.00 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 the most commonly searched types of Data Analytics jobs in Lexington, KY?

The most popular types of Data Analytics jobs in Lexington, KY are:

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

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

What job categories do people searching Data Analytics Manager jobs in Lexington, KY look for?

The top searched job categories for Data Analytics Manager jobs in Lexington, KY are:

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

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

Infographic showing various Data Analytics Manager job openings in Lexington, KY as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $83,434 per year, or $40.1 per hour.

Director of Data Analytics

Frankfort, KY • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Our goal is to be an Employer of Choice, and it takes all of us to achieve this.  That’s why all Commonwealth Credit Union Team Members are expected to live our Team 1 culture in all facets of their position.  Our team is committed to ‘bettering lives through our passion to serve’ and this includes everyone - from our team members to the people in the communities we serve.  We do this best when we appreciate each other for our differences, foster connections, and ensure an inclusive environment where everyone can thrive and be successful.

The Director of Data Analytics will be the driving force behind the credit union's evolution into a data-driven organization. This role combines strategic vision, technical expertise, and strong leadership to harness data in support of growth, expansion, and deepening member relationships. The director will oversee analytics, data governance, and systems integration and architecture, ensuring that data becomes a trusted organizational asset used to make informed, timely decisions.

This position will lead a team of business intelligence analysts to build a unified data environment, modernize tools and processes, and deliver actionable insights that help shape the credit union's direction and operational performance.

The duties and responsibilities of the Director of Data Analytics include, but are not limited to:

Strategic Data Leadership

  • Developing and executing a comprehensive data strategy aligned with credit union goals for growth and member engagement.
  • Leveraging AI, machine learning, and automation to improve operational efficiency and predictive capabilities.
  • Partnering with executives and other department leaders to identify and prioritize opportunities where data can drive measurable business outcomes.
  • Translating organizational strategy into data-driven initiatives and KPIs.
  • Possessing strong analytical skills with ability to deconstruct complex information into easily understandable components.
  • Thinking beyond traditional data models to identify innovative solutions, processes, and experiment with new methods to foster creativity and innovation.

Analytics & Insights Generation

  • Leading the development of advanced analytics, dashboards, and forecasting models to inform strategic and tactical decisions.
  • Providing insights that support product development, marketing optimization, lending performance, and member experience.
  • Communicating findings clearly to non-technical audiences and executive leadership.
  • Promoting data literacy and empowering departments to use analytics effectively in daily decision-making.

Technical Oversight and Data Integration

  • Overseeing all third-party data systems, tools, and vendors used by the analytics department.
  • Ensuring seamless integration of data across core systems (banking, CRM, lending, digital channels, etc.).
  • Partnering with IT and vendors to improve data accessibility and maintaining security compliance.
  • Assessing and recommending technology investments that enhance scalability and analytical capabilities.

Data Governance and Quality Management

  • Establishing and enforcing data governance frameworks to ensure data integrity, accuracy, and compliance with regulations.
  • Standardizing data definitions, processes, and ownership across systems.
  • Fostering a culture of accountability for data stewardship and ethical data use.
  • Developing and optimizing ETL/ELT pipelines using Python, SQL or cloud-native tools.

Development

  • Enhancing expertise by actively pursuing development opportunities, including but not limited to, attending conferences, acquiring certifications, completing learning courses in-house and other relevant platforms, or engaging in both internal and external leadership programs.