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Data Analyst Jobs in Georgetown, KY (NOW HIRING)

Data Analyst Senior

Lexington, KY

$81K - $103K/yr

LockheedMartin seeks a Data Analyst who will translate raw data into compelling, actionable stories that drive business and risk management decisions. The analyst will locate novel data sources ...

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.

Data Analyst Senior

Lexington, KY · On-site

$81K - $103K/yr

LockheedMartin seeks a Data Analyst who will translate raw data into compelling, actionable stories that drive business and risk management decisions. The analyst will locate novel data sources ...

Administrative Specialist

Lexington, KY · On-site

$40K - $55K/yr

As a Administrative Specialist (Data Analyst), you will be responsible for gathering, analyzing, and interpreting large datasets to uncover insights that will drive informed business decisions as ...

Administrative Specialist

Lexington, KY · On-site

$40K - $55K/yr

As a Administrative Specialist (Data Analyst), you will be responsible for gathering, analyzing, and interpreting large datasets to uncover insights that will drive informed business decisions as ...

Team Alpha Internship

Lexington, KY · On-site

$13 - $17.50/hr

Data-focused analysis, recommendation, and implementation for marketing efforts like social media, newsletters, and SEO. Social Media Manager: We are looking for a responsible, reliable, and creative ...

Data Analyst information

See Georgetown, KY salary details

$30.7K

$74.6K

$122.8K

How much do data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data analyst in Georgetown, KY is $74,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $87,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Georgetown, KY? The most popular types of Data Analyst jobs in Georgetown, KY are:
What are popular job titles related to Data Analyst jobs in Georgetown, KY? For Data Analyst jobs in Georgetown, KY, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Georgetown, KY look for? The top searched job categories for Data Analyst jobs in Georgetown, KY are:
What cities near Georgetown, KY are hiring for Data Analyst jobs? Cities near Georgetown, KY with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Georgetown, KY as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 76% In-person, 8% Hybrid, and 16% Remote job distribution, with an average salary of $74,622 per year, or $35.9 per hour.

Contractor

Re-posted 15 days ago


Job description

Data Analyst II | Lexington, Kentucky, United States [About the Role] Join our dynamic team in Lexington, KY, as a Data Analyst II. In this hybrid contract position, you'll work onsite during training, then transition to a flexible schedule. You'll play a pivotal role in transforming raw data into actionable insights that drive business decisions for critical ERP management processes. This is a fantastic opportunity to develop your skills with leading technologies like Oracle, SAP, and Maximo, while gaining exposure to impactful business operations. [Responsibilities] - Aggregate, cleanse, and analyze complex datasets from multiple sources to support ERP management - Build and report on key business performance indicators related to financials, material tracking, and end-to-end communication - Support regulatory and customer reporting, ensuring accuracy and compliance - Collaborate with project teams to provide business-critical data analyses and reporting - Extract meaningful insights to inform strategic business decisions [Required Skills and Experience] - Bachelor's degree in data science, computer science, or a similar field - 2-5 years of hands-on experience in data analytics or data science - Proficiency with Microsoft Office Suite, Oracle, and SAP - Proven ability to compile, cleanse, and prepare large datasets for analysis - Strong analytical mindset with a track record of deriving insights from complex data [Preferred Skills] - Experience with Maximo - Background in warehousing or inventory analytics - Engineering or technical training [Benefits] - Hybrid work model after initial training - Exposure to advanced ERP systems and high-impact business projects - Professional growth opportunities in data analytics and business intelligence - Collaborative and supportive team environment [How to Apply] Ready to advance your data analytics career? Submit your updated resume and a brief cover letter detailing your relevant experience. We're excited to see how you can make a difference in our data-driven organization! :

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US