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Data Engineer Data Analyst Jobs in Lexington, KY

Easy Recruiter

Data Analyst

Lexington, KY · On-site

As a Data Analyst in the Finance Data Analytics department, you will be responsible for maintaining, improving, and building new reporting capabilities for cross-functional areas of the business. By ...

Lockheed Martin Corporation

Data Analyst Senior

Lexington, KY · On-site

$75K - $94K/yr

Confer with systems analysts, engineers, programmers, and others to design applications that assess the validity of source data and subsequent findings. Identify hidden patterns or relationships in ...

Quantam

Workforce Data Analyst

Frankfort, KY · On-site

We are currently seeking an Workforce Data Analyst. On-site training for approximately 2 weeks, with the possibility of transitioning to a partially remote/hybrid schedule afterward. Candidates ...

Pellera

Data Center Engineer

Lexington, KY · On-site

Data Center Engineer Position Location: Lexington, Kentucky Reports to: Director, Data Center ... Excellent analytical, troubleshooting, and problem-solving skills. * Strong attention to detail and ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Lexington, KY

Data Engineer Data Analyst information

See Lexington, KY salary details

$33.8K

$82.1K

$135.2K

How much do data engineer data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer data analyst in Lexington, KY is $82,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Lexington, KY?

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

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

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

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Lexington, KY as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,137 per year, or $39.5 per hour.

Data Analyst

Easy Recruiter

Lexington, KY • On-site

Full-time

Re-posted 27 days ago

Job description

As a Data Analyst in the Finance Data Analytics department, you will be responsible for maintaining, improving, and building new reporting capabilities for cross-functional areas of the business. By developing a deep understanding of operational processes and needs, you will be responsible for implementing new reporting capabilities and using technology to deliver impactful reports. You will partner with teams in various functional areas of the business to implement process improvements that will streamline the efficiency and accuracy of the reporting process. You will be responsible to delivering daily, weekly, and monthly reports accurately and on time. You will also be involved in ad hoc analysis of large datasets to quickly provide insight into the business.

Functional Support Area: Procurement/Accounts Payable/Accounts Receivable/Support Services

Core Responsibilities

  • Function as an analytics and reporting expert for assigned functions by executing standard reports and, running / maintaining ad hoc queries.
  • Participate in the development of reports, metrics, models, scorecards, and dashboards by gathering data and transforming it into stories and insights that drive business recommendations and decision-making.
  • Publish daily, weekly, and monthly reports accurately and on time
  • Build reports and dashboards in Microsoft Power BI, Analysis for Office, Bex, and other reporting tools
  • Participate in hosted training sessions on how to use the various tools and reports created by the department
  • Generate load files for various systems, maintaining system accuracy
  • Communicate effectively with report stakeholders to ensure strong understanding of the methodology behind all calculations
  • Perform ad hoc analysis using data from various systems and explain results of analysis to all levels of management
  • Create SOPs and maintain documentation for processes
  • Demonstrate continuous efforts to improve processes, increase data integrity, and provide quality customer service to our business partners.
  • Provide comprehensive analytical and fact-based reporting to support and/or identify opportunities to impact operational results, make changes to processes, and support strategic initiatives.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions .

  • Bachelor's Degree from a regionally accredited four-year college or university in Accounting/Finance, Computer Science/Data Analytics or related field and 2+ years of relevant work experience or equivalent combination of education and/or experience, required.
  • Ability to build models using advanced features of Excel.
  • Experience with Power BI / Tableau, Power Pivot, SAP, SAP Analysis for Office, BPC, Bex Query Designer.
  • Experience in analyzing data within relational database systems such as MS Access, MS SQL Server, and MySQL.
  • Experience with ETL Tools such as Alteryx, Paxata, DataGuru or equivalent technologies, preferred.
  • Understanding of Windows environment command line tools, .BAT files, and Task Scheduler, preferred.
  • Experience with HTML/CSS/Javascript and a backend technology like python-flask, preferred.
  • Experience with Data analysis in Python using Pandas/Numpy/Jupyter Notebooks, preferred.
  • Ability to quickly learn new technology and business logic.
  • Superior analytical and problem-solving skills with superb attention to detail.
  • Strong written and verbal communication skills.
  • Ability to work independently in a fast-paced and rapidly changing and ambiguous environment.
  • Ability to work well with others in fast paced, dynamic environment.
  • Ability to be respectful, approachable and team oriented while building strong working relationships and a positive work environment.
  • Up to 10% travel required.

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