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Data Engineer Data Analyst Jobs in Kentucky (NOW HIRING)

Amerita

Sr Finance Data Analyst

Louisville, KY · On-site

$130K/yr

Ability to work collaboratively with business stakeholders, data engineers, and technical teams to gather requirements, document data flows, and support scalable analytical solutions * Driving ...

Amerita

Sr Finance Data Analyst

Louisville, KY · On-site

Ability to work collaboratively with business stakeholders, data engineers, and technical teams to gather requirements, document data flows, and support scalable analytical solutions * Driving ...

MDAEdge

Power BI Financial Data Analyst

Louisville, KY · On-site

MDAEdge is seeking a business-savvy Power BI Financial Data Analyst with expertise in Power BI and SQL. The role involves building executive-ready dashboards, designing SQL-driven data pipelines, and ...

Learnkwik.com

Data Analyst Training

Louisville, KY · On-site

We are offering online training on Data Analyst. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

Learnkwik.com

Data Analyst Training

Louisville, KY · On-site

... on Data Analyst. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

Cognizant

Senior Data Scientist

Louisville, KY · On-site

$120 - $150/hr

You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data engineers, analysts, and technology teams to develop advanced analytics, predictive ...

Galls

Data Scientist

Lexington, KY

Establish evaluation and monitoring frameworks for AI and GenAI model performance Data Engineering & Enterprise Analytics * Build and maintain scalable data pipelines, ingestion systems, and ...

Galls

Data Scientist

Lexington, KY · On-site

Establish evaluation and monitoring frameworks for AI and GenAI model performance Data Engineering & Enterprise Analytics * Build and maintain scalable data pipelines, ingestion systems, and ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

Expertise in programming languages such as Python, R, or similar programming languages for data analysis. * Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning ...

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Data Engineer Data Analyst information

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.

What are popular job titles related to Data Engineer Data Analyst jobs in Kentucky? For Data Engineer Data Analyst jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Kentucky look for? The top searched job categories for Data Engineer Data Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Data Engineer Data Analyst jobs? Cities in Kentucky 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 Kentucky as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 81% In-person, 7% Hybrid, and 12% Remote job distribution.

Sr Finance Data Analyst

Amerita

Louisville, KY • On-site

$130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Our Company
Amerita
Overview
The Senior Finance Data Analyst of Pharmacy Margin & Unit Economics will serve as the technical analytics partner supporting pharmacy margin reporting, unit economics, reimbursement analysis, and profitability modeling across the infusion pharmacy business. This role will report to the Finance Manager of Pharmacy Margin & Unit Economics and will be responsible for building, maintaining, and validating the backend data logic needed to analyze complex drug-level, payer-level, channel-level, claim-level, and branch-level margin performance.
This is not a traditional Excel-based FP&A role. The data supporting pharmacy margin analysis is highly complex and requires significant manipulation, transformation, validation, and automation outside of Excel. The ideal candidate will have strong SQL coding experience, comfort working with large and complex datasets, and the ability to translate operational, reimbursement, procurement, and financial data into scalable analytics that can be used for executive reporting and business decision-making.
The role will partner closely with Finance, Market Access, Margin Optimization, Pharmacy Procurement, IT/Data teams, and operations to ensure margin reporting is accurate, repeatable, and tied to financial results.
We Offer:
• Medical, Dental & Vision Benefits plus, HSA & FSA Savings Accounts
• Supplemental Coverage - Accident, Critical Illness and Hospital Indemnity Insurance
• 401(k) Retirement Plan
• Company paid Life and AD&D Insurance, Short-Term and Long-Term Disability
• Employee Discounts
• Tuition Reimbursement
• Paid Time Off & Holidays
Responsibilities
  • Builds, maintains, and enhances SQL-based data models supporting pharmacy margin analytics
  • Develops backend logic to analyze profitability across drug, payer, channel, therapy, branch, claim, and patient-level dimensions
  • Manipulates and transforms large, complex datasets outside of Excel using SQL and/or other coding languages
  • Automates recurring margin reporting processes to reduce manual work and improve scalability
  • Supports the development of rate, mix, volume, reimbursement, and unit cost bridges explaining gross profit performance
  • Creates data pipelines, queries, and repeatable reporting logic for margin analytics and executive reporting
  • Partners with the Finance Manager to translate business questions into structured data queries and analytical outputs
  • Analyzes impacts from ASP, AWP, WAC, MAC, acquisition cost, reimbursement rate, payer mix, and drug utilization changes
  • Integrates and validates data from multiple sources, including claims, revenue, COGS, drug cost, procurement, payer, branch, and financial systems
  • Identifies and resolves data quality issues, mapping inconsistencies, duplicate records, missing values, and logic gaps
  • Validates margin reporting outputs against financial statements, source system data, and operational reporting
  • Supports claim-level and drug-level profitability analysis, including reimbursement accuracy and cost-to-claim mapping
  • Partners with Margin Optimization to assess current claims, margin leakage, under-reimbursement, and payer-specific profitability trends
  • Partners with Pharmacy Procurement to track drug cost changes, manufacturer rebates, wholesaler discounts, and purchasing trends
  • Builds reporting datasets and dashboards in Power BI or similar visualization tools
  • Documents query logic, data definitions, mapping assumptions, and reporting methodology
  • Maintains strong controls around recurring reporting, including tie-outs, version control, and validation checks
  • Supports ad hoc executive analysis related to pricing, payer strategy, reimbursement pressure, procurement savings, and margin improvement initiatives
  • Translates technical findings into clear business insights for Finance and cross-functional partners

Qualifications
  • 3-6+ years of experience in data analytics, business intelligence, financial systems, FP&A analytics, healthcare analytics, pharmacy analytics, or related field
  • Significant SQL coding experience required
  • Experience manipulating large and complex datasets outside of Excel required
  • Experience with one or more additional tools/languages preferred: Python, R, Alteryx, Power Query, VBA, DAX, Power BI, Tableau, or similar analytics tools
  • Healthcare, pharmacy, infusion pharmacy, specialty pharmacy, reimbursement, payer, or provider finance experience strongly preferred
  • Understanding of pharmacy reimbursement concepts such as ASP, AWP, WAC, MAC, acquisition cost, payer reimbursement, and gross profit preferred
  • Strong ability to build repeatable, scalable reporting logic and automate manual processes
  • Experience working with transaction-level, claim-level, patient-level, or drug-level data preferred
  • Strong data validation skills, including ability to reconcile reporting outputs to source systems and financial statements
  • Advanced Excel skills required, but role should not be dependent on Excel as the primary data manipulation tool
  • Experience with Power BI, SQL Server, Snowflake, Databricks, Alteryx, or similar database/reporting environments preferred
  • Strong attention to detail and ability to identify data inconsistencies or logic errors
  • Ability to work closely with Finance leaders to turn complex business questions into structured analytics
  • Strong documentation skills, including query logic, data definitions, and reporting methodology
  • Self-starter with strong problem-solving skills, intellectual curiosity, and ownership mentality
  • Strong understanding of pharmacy reimbursement, payer dynamics, and infusion pharmacy margin drivers across PBM and Medical benefit channels
  • Advanced financial modeling, variance analysis, and rate/mix/volume analytics skills
  • Knowledge of pharmaceutical pricing methodologies including ASP, AWP, WAC, and MAC
  • Ability to analyze large, complex datasets and translate findings into actionable business insights
  • Expert-level SQL knowledge with extensive experience working in SQL Server environments, including relational database design, complex query development, performance tuning, stored procedures, views, functions, and SQL Server Agent jobs. Familiarity with additional database platforms and data warehousing concepts is preferred
  • Strong experience developing and maintaining automated data pipelines and ETL processes using SQL Server technologies, with the ability to optimize data workflows, troubleshoot failures, and ensure data integrity across enterprise systems
  • Proficiency in data analysis and root cause investigation, with the ability to analyze large and complex datasets, identify data quality or process issues, and translate findings into actionable business insights
  • Experience with reporting and data visualization tools such as Power BI or SSRS, including building dashboards, validating metrics, and supporting business users with analytical reporting needs
  • Strong understanding of data governance, data validation, and reconciliation processes to ensure consistency and accuracy across internal and external data sources
  • Ability to work collaboratively with business stakeholders, data engineers, and technical teams to gather requirements, document data flows, and support scalable analytical solutions
  • Driving Position: No

**To perform this role will require frequently siting and typing on a keyboard with fingers, and occassionally standing, walking, bending, reaching, climbing (stairs/ladders), kneeling, and stooping, The physical requirements will be the ability to push/pull and lift/carry 1-10 lbs**
About our Line of Business
Amerita, an affiliate of BrightSpring Health Services, is a specialty infusion company focused on providing complex pharmaceutical products and clinical services to patients outside of the hospital. Committed to excellent service, our vision is to combine the administrative efficiencies of a large organization with the flexibility, responsiveness, and entrepreneurial spirit of a local provider. For more information, please visit www.ameritaiv.com. Follow us on Facebook, LinkedIn, and X.
Salary Range
USD $130,000.00 - $150,000.00 / Year

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