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Data Analyst Python Sql Jobs in Jeffersonville, IN

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 ...

HANDLE Global

Research Analyst

Prospect, KY · On-site

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.

Pwc

GenAI Python Systems Engineer-Manager

Louisville, KY · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SQL - Experience with Docker and containerized deployments - Skilled in AI techniques enhancing ...

Varsity Tutors

SQL Tutor

Louisville, KY · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

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

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$32.6K

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

As of Aug 29, 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.

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 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.

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 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

Power BI Financial Data Analyst

Louisville, KY • On-site

MDAEdge
Custom Software Development Services • 51 - 200 employees
Learn more about MDAEdgeexternal

Full-time

Re-posted 23 days ago

Job description

Job Summary:
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 transforming raw data into actionable financial insights.
Responsibilities:
• Develop real-time financial dashboards (AR aging, revenue trends)
• Apply statistics & math (variance analysis, forecasting) to highlight risks/opportunities
• Write and optimize T-SQL queries for data feeds
• Build Fabric Lakehouse/Warehouse models (star schemas, incremental loads)
• Translate finance questions into data requirements
• Present insights in clear, business-friendly language
• Ensure data quality & compliance (SOX/PCI)
• Document data lineage & security
Qualifications:
Required:
• Based in Louisville, KY (non-negotiable)
• Power BI Expert – Can build polished dashboards independently (DAX, time intelligence, advanced visuals)
• SQL Pro – Writes complex queries (T-SQL, stored procedures, PIVOT) to feed dashboards
• Finance Fluency – Understands AR, budgeting, month-end reporting
• 3-5+ Years in corporate financial data analysis
Preferred:
• Experience with Microsoft Fabric (Lakehouse/Warehouse, Data Factory)
• Knowledge of ETL processes & data governance
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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