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Data Analyst Python Sql Jobs in Jeffersonville, IN

Cognizant

Senior Data Scientist

Louisville, KY · On-site

$120 - $150/hr

Build and optimize analytical solutions and data pipelines using Python, SQL, and Databricks. * Partner with business and technical stakeholders to translate business requirements into scalable ...

New

MDAEdge

Power BI Financial Data Analyst

Louisville, KY · On-site

The role involves building executive-ready dashboards, designing SQL-driven data pipelines, and ... variance analysis, forecasting) to highlight risks/opportunities • Write and optimize T-SQL ...

Danaher

Digital Analyst Internships

Louisville, KY

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Louisville, KY · On-site

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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 ...

Medvantx Inc

Sr. Data, Reporting Analyst

Louisville, KY · On-site

$78K - $99K/yr

This role utilizes tools such as Power BI, SQL, and data modeling techniques to identify trends, measure performance, and deliver meaningful analytics that drive operational efficiency and business ...

FocusKPI

Marketing Operations Analyst

Louisville, KY · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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.

Programmers.io

Azure Databricks Engineer

Louisville, KY · On-site

Write clean, efficient, and reusable code in SQL & Python for data transformation and automation. · Collaborate with business stakeholders to understand data needs and deliver high-quality solutions ...

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Data Analyst Python Sql information

See Jeffersonville, IN salary details

$32.6K

$79.2K

$130.4K

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

As of Aug 7, 2026, the average yearly pay for data analyst python sql in Jeffersonville, IN is $79,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Jeffersonville, IN look for? The top searched job categories for Data Analyst Python Sql jobs in Jeffersonville, IN are:
What cities near Jeffersonville, IN are hiring for Data Analyst Python Sql jobs? Cities near Jeffersonville, IN with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Senior Data Scientist

Cognizant

Louisville, KY • On-site

$120 - $150/hr

Other

Posted 2 days ago

New

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Data ScientistAbout the role

As a Data Scientist, you will make an impact by transforming complex healthcare and business data into actionable insights that drive strategic decision-making and operational improvements. 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 models, and forecasting solutions that deliver measurable business value.

In this role, you will:
  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business objectives.
  • Develop predictive, forecasting, and statistical models to drive data-informed decision-making and business outcomes.
  • Perform exploratory data analysis, hypothesis testing, correlation analysis, and advanced statistical evaluations to solve business challenges.
  • Build and optimize analytical solutions and data pipelines using Python, SQL, and Databricks.
  • Partner with business and technical stakeholders to translate business requirements into scalable analytics solutions and effectively communicate findings.
Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring time in a Cognizant or client office in Dallas, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or related analytical roles.
  • Strong hands-on experience with SQL and Python, including libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience developing predictive models, forecasting solutions, and statistical analysis frameworks.
  • Hands-on experience with Databricks and modern analytics platforms.
  • Strong understanding of data visualization, data storytelling, and communicating analytical insights to stakeholders.
  • Experience working with large-scale datasets and delivering business-focused analytical solutions.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.
  • Healthcare industry experience is required.
These will help you stand out
  • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Experience deploying machine learning models into production environments.
  • Knowledge of healthcare analytics, population health, clinical data, claims data, or healthcare operations.
  • Familiarity with data engineering concepts, data governance, and data quality frameworks.
  • Experience working within Agile delivery environments.
  • Advanced degree in Data Science, Statistics, Machine Learning, or a related discipline.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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