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Data Analyst Python Sql Jobs in Carmel, IN (NOW HIRING)

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 ...

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 ...

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 ...

Experience using R or Python for data analysis and reporting. * Experience using SQL to query a ... relational database * Experience using SAS for data analysis and reporting. * Experience using ...

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 ...

Data Analyst Location: Indianapolis, IN 46204 11 Months Contract Position * The Data Analyst ... with SQL. * Demonstrated experience with SAS and either R or Python, including data cleaning ...

We are seeking a Data Analyst with strong technical proficiency in Power BI, semantic modeling, SQL, and Python/PySpark . This role focuses on developing analytical data models and reporting assets ...

We are seeking a Data Analyst with strong technical proficiency in Power BI, semantic modeling, SQL, and Python/PySpark . This role focuses on developing analytical data models and reporting assets ...

We are seeking a Data Analyst with strong technical proficiency in Power BI, semantic modeling, SQL, and Python/PySpark . This role focuses on developing analytical data models and reporting assets ...

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 ...

... or Python for data analysis and reporting * 1+ year of experience querying relational databases using SQL * 1+ year of experience using SAS for data analysis and reporting * Demonstrated experience ...

... 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 ...

... 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 ...

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 ...

Senior Data Analyst

Indianapolis, IN · On-site

$82.20K - $103.70K/yr

Experience analyzing data leveraging SQL, Python for data models in GCP (BigQuery, BigTable, AtScale), while producing concepts in data visualization tools preferred * Experience writing basic SQL ...

Experience with Microsoft Excel, Power BI, Tableau, SQL, or similar reporting and visualization ... Experience with SharePoint, Power Automate, Python, or similar automation/reporting tools Work ...

Experience with Microsoft Excel, Power BI, Tableau, SQL, or similar reporting and visualization ... Experience with SharePoint, Power Automate, Python, or similar automation/reporting tools Work ...

Experience using R or Python for data analysis and reporting - Highly desired - 0 * Experience using SQL to query a relational database - Highly desired - 0 * Exceptional communication skills, both ...

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Data Analyst Python Sql information

See Carmel, IN salary details

$33.9K

$82.5K

$135.8K

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

As of May 28, 2026, the average yearly pay for data analyst python sql in Carmel, IN is $82,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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 are Data Analyst Python SQL jobs?

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 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 cities near Carmel, IN are hiring for Data Analyst Python Sql jobs? Cities near Carmel, IN with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Carmel, IN as of May 2026, with employment types broken down into 5% As Needed, 57% Full Time, 8% Part Time, 28% Contract, and 2% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution, with an average salary of $82,512 per year, or $39.7 per hour.

Data Analyst

Echo IT Solutions

Indianapolis, IN • On-site

Other

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


Job description

Data Analyst

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. Perform 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.