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Senior Python Data Analyst Jobs in Louisville, KY

Medvantx Inc

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into actionable business insights through advanced reporting, analytics, and visualization solutions.

Elevance Health

Data Scientist Analyst

Louisville, KY · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

HANDLE Global

Research Analyst

Prospect, KY

Hands-on experience in SQL query building and Python data analysis. * Proficiency in BI tools such as Tableau, Power BI, Looker. * Experience with data warehouses like Databricks, Snowflake, etc.

Deloitte

Project - Data Engineer II

Louisville, KY · On-site

$110K - $132K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... Build reusable Python components for ingestion, validation, and transformations; apply standards ...

Ventures Unlimited Inc

Big Data Architect

Louisville, KY · On-site

$61.25 - $78.75/hr

Big Data Architect Location : Louisville, KY Duration: Full Time : 10-15 yrs. total experience in ... Python, Scala, Kafka, Ambari, R and provide analytical solutions Hands on experience in ...

Chewy

Senior Financial Analyst

Louisville, KY

$78K - $97K/yr

... data-driven forecasts and analyze performance across a network of pharmacy sites. As Chewy ... Deliver clear, actionable financial insights to senior stakeholders, including the Finance Director ...

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Senior Python Data Analyst information

See Louisville, KY salary details

$52.8K

$95.3K

$130.2K

How much do senior python data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior python data analyst in Louisville, KY is $95,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $104,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What are the most commonly searched types of Python Data Analyst jobs in Louisville, KY? The most popular types of Python Data Analyst jobs in Louisville, KY are:
What are popular job titles related to Senior Python Data Analyst jobs in Louisville, KY? For Senior Python Data Analyst jobs in Louisville, KY, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analyst jobs in Louisville, KY look for? The top searched job categories for Senior Python Data Analyst jobs in Louisville, KY are:
Senior Python Data Analyst jobs near you

Senior Compensation Systems and Data Analyst (Remote)

ScionHealth

Louisville, KY • On-site, Remote

$79K - $103K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

ScionHealth rating

5.6

Company rating: 5.6 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

803rd of 890 rated healthcare providers

Job description

At ScionHealth, we empower our caregivers to do what they do best. We value every voice by caring deeply for every patient and each other. We show courage by running toward the challenge and we lean into new ideas by embracing curiosity and question asking. Together, we create our culture by living our values in our day-to-day interactions with our patients and teammates.
Job Summary
The Senior Compensation Systems & Data Analyst is responsible for supporting the integrity, accuracy, and operational effectiveness of the organization's compensation systems, job architecture data, market pricing infrastructure, and related analytics. This role combines compensation operations, systems administration, data governance, reporting, and analytical support to enable informed decision-making across the employee lifecycle. Working across compensation, human resources, business leaders, and other internal partners, this position maintains critical compensation data and tools, supports recurring audit and survey processes, develops dashboards and reports, and provides analytical insights that improve data quality, strengthen governance, and support strategic decision-making. This role also helps create scalability and operational consistency within the Compensation function.
Essential Functions
  • Administers and maintains compensation-related systems, workflows, access, and supporting processes.
  • Supports administration of market pricing platforms, including survey loads, pricing updates, survey matching, and pricing file maintenance.
  • Performs audits, reconciliations, and validation of compensation, job, and employee data across multiple systems and reports.
  • Maintains key job architecture attributes, including but not limited to job codes, SOC codes, FLSA status, job family, sub-category, geographic differentials, and eligibility indicators.
  • Identifies data quality issues, researches root causes, recommends corrective action, and supports long-term improvements in data governance.
  • Develops, maintains, and refreshes recurring compensation reports, dashboards, lookup tools, and data models.
  • Translates complex data into clear, practical recommendations for a range of audiences.
  • Provides deep-dive analyses and actionable insights that inform strategic and operational decisions.
  • Provides analytical support across compensation and broader people-related topics such as hiring, retention, engagement, and internal mobility.
  • Translates complex data into clear findings, practical recommendations, and decision-support materials for a variety of audiences.
  • Documents processes, supports standardization, and contributes to operational efficiency and audit readiness.
  • Develop materials and deliverables for business owners to aid in understanding and execution of compensation processes.

Knowledge/Skills/Abilities/Expectations
  • Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
  • Strong attention to detail and commitment to data accuracy, validation, and process consistency.
  • Ability to identify trends, issues, and opportunities within data and translate them into actionable insights.
  • Ability to communicate technical or analytical information clearly and effectively to both technical and non-technical audiences.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Ability to work independently while also collaborating effectively with cross-functional partners.
  • Process orientation with a focus on documentation, control, and continuous improvement.
  • Advanced proficiency in Microsoft Excel required; Power Query preferred.
  • Experience with reporting, dashboard, or analytical tools such as Python or similar preferred.
  • Experience with HRIS and compensation systems preferred.

Qualifications
Education
  • Bachelor's Degree Human Resources, Business, Finance, Analytics, Information Systems, or a related field (Required)
  • Equivalent Combination of Education and Experience in related field (May be Considered)

Experience
  • 5+ years experience in compensation, HR systems, HRIS, people analytics, reporting, data analysis, or a related field (Required)
  • Prior Experience supporting compensation programs, market pricing, survey participation, job architecture, or related compensation processes (Preferred)
  • Prior Experience working with large datasets and multiple systems (Preferred)

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