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Data Analyst Python Sql Jobs in Indianapolis, IN

Experience with Power BI or similar data visualization tools experience using Python for data analysis or automation Basic knowledge of SQL or data querying * Experience in construction, utilities ...

Experience with Power BI or similar data visualization tools experience using Python for data analysis or automation Basic knowledge of SQL or data querying * Experience in construction, utilities ...

Experience with Power BI or similar data visualization tools experience using Python for data analysis or automation Basic knowledge of SQL or data querying * Experience in construction, utilities ...

Azure Data Engineer

Indianapolis, IN

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Showing results 41-60

Data Analyst Python Sql information

See Indianapolis, IN salary details

$32.5K

$79K

$130K

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

As of Aug 11, 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.

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 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:
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.

Help Desk/Data Quality Analyst in Indianapolis, IN - Onsite

Techmorgonite Software Solutions LLC

Indianapolis, IN • On-site

$38/hr

Contractor

Re-posted 4 days ago


Job description

Role- Help Desk/Data Quality Analyst
Location- Indianapolis, IN - Onsite
Project Duration- 9+ Months
Mode of interview - Video
 
Job Description:
 
The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS).
 
This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes.
Key Responsibilities:
·         Perform data quality assessments on immunization records, including de-duplication, validation, and standardization.
·         Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets.
·         Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors.
·         Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy.
·         Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping.
·         Investigate data anomalies, troubleshoot submission issues, and recommend process improvements.
·         Document data quality rules, methodologies, and best practices for internal and external stakeholders.
·         Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data.
·         Perform other duties as assigned.
  Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceBachelor’s degree in Public Health, Data Science, Information Systems, or related field (or equivalent work experience)Required0 Strong proficiency in T-SQL (query writing, stored procedures, optimization, troubleshooting)Required5YearsExperience working with large relational databases (SQL Server preferred)Required5YearsStrong problem-solving skills with ability to analyze data issues and recommend corrective actionsRequired5YearsExcellent communication skills for working with technical and non-technical stakeholdersRequired5YearsFamiliarity with immunization registries (IIS), HL7 messaging, or healthcare data standardsHighly desired0 Experience with reporting tools (e.g., Power BI, Tableau) preferredHighly desired0 Knowledge of IIS data exchange standards (VXU, ACK, QBP)Highly desired0 Experience with data quality frameworks and record-matching techniquesHighly desired0 Exposure to public health data systems or clinical data exchangeHighly desired0