ZipRecruiter

Log In

1

Data Analytics Jobs in Lexington, KY (NOW HIRING)

Socket.dev

Director of Data Analytics

Frankfort, KY · On-site

$130 - $190/hr

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 ...

Lockheed Martin

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems;

Lockheed Martin

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems;

next page

Showing results 1-20

All JobsData Analytics JobsData Analytics Jobs in Lexington, KY

Data Analytics information

See Lexington, KY salary details

$21

$47

$81

How much do data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data analytics in Lexington, KY is $47.02, according to ZipRecruiter salary data. Most workers in this role earn between $37.79 and $53.27 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

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 jobs in Lexington, KY?

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

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

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

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Lexington, KY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $97,802 per year, or $47 per hour.

Director of Data Analytics

Commonwealth Credit Union

Frankfort, KY • On-site

$120 - $180/hr

Other

Posted 10 days ago

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.
Qualifications Skills Preferred Coaching

Expert

Expert

Communication

Expert

Leadership

Expert

Problem Solving

Expert

Expert

Analytical

Expert

Education Required

Bachelors or better in Business Administration or related field.

High School or GED or better.

Experience Required

Bachelor's degree required in Data Analytics, Information Systems, Business Intelligence, Data Science, Finance or Business with strong analytics background or related equivalent field

Certified Information Management Professional (CIMP), or Project Management Professional (PMP)

3 years:

3 plus years of leadership experience leading an analytics, business intelligence, or data-focused team

7 years:

7 plus years of professional experience in data analytics, business intelligence, data strategy, or similar role

Preferred

Graduate degree preferred in Data Analytics, Information Systems, Business Administration (MBA), Data Science, or a related equivalent field or equivalent applicable experience

Experience in a financial service or credit union environment preferred

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

#J-18808-Ljbffr

Apply