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Data Analyst Python Sql Jobs in Indianapolis, IN

STI

Data Analyst

Indianapolis, IN · On-site

Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong analytical and problem-solving ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio. * Strong analytical and problem-solving ...

campus4tech

Data Analyst

Indianapolis, IN · On-site

... SQL. • Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study ...

AAA Hoosier Motor Club

Data Analyst

Indianapolis, IN

... Python scripting for data work including API calls, data preparation, and analysis preferred. • Exposure to Azure Data Lake Storage, Azure SQL Database, and/or Databricks is a plus. • Ability to ...

AAA Hoosier Motor Club

Data Analyst

Indianapolis, IN · On-site

... Python scripting for data work including API calls, data preparation, and analysis preferred. • Exposure to Azure Data Lake Storage, Azure SQL Database, and/or Databricks is a plus. • Ability to ...

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Operations Data Analyst Location: Indianapolis, IN (Hybrid) Type: 17 month contract Compensation ... Proficiency in SQL, Excel, and at least one statistical programming language (Python or R)

Netpace Inc

IN DWD - Data Analyst

Indianapolis, IN · On-site

Required : • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. • Proficiency in data analysis tools such as SQL, Python, R, or Excel. • Experience ...

CYNET SYSTEMS

Data Analyst

Indianapolis, IN · On-site

$27 - $32/hr

SQL. * Python. * BI tools. * EP Evaluator. * Microsoft Excel. * Database structures. * CLIA regulations. * CAP regulatory requirements. * Clinical data management. Qualification And Education:

CSpring

Data Analyst

Indianapolis, IN · On-site

... SQL for reporting, analysis, and report customization. * 4+ years of experience with Medicaid ... Proficiency in Python, including Pandas or similar libraries, and Excel. * Knowledge of data ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

... SQL. • Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses. • Working knowledge of epidemiological methods, study ...

Theoris

Junior Data Engineer (no c2c)

Indianapolis, IN · On-site

$109K - $131K/yr

... analytics and reporting. The team currently utilizes Wherescape and SQL Server data warehouse ... Develop and support data engineering processes using Python, SQL, and enterprise ETL/ELT tools.

New

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R

EXOS

Sr. Data Engineer

Indianapolis, IN

$109K - $131K/yr

Write and optimize complex code using Python and SQL * Build and manage data transformations using DBT and/or SQLMesh * Develop solutions within Databricks to support scalable data processing

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

As of Aug 31, 2026, the average yearly pay for data analyst python sql in Indianapolis, IN is $78,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,700.00 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 are popular job titles related to Data Analyst Python Sql jobs in Indianapolis, IN?

For Data Analyst Python Sql jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Indianapolis, IN look for?

The top searched job categories for Data Analyst Python Sql jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Data Analyst Python Sql jobs?

Cities near Indianapolis, IN with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,993 per year, or $38 per hour.

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 10 days ago

Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

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