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Business Analyst Sql R Python Jobs in Indianapolis, IN

Linde Group

IT Business Analyst

Indianapolis, IN · On-site

* You will gather, document, and translate business requirements into clear functional/technical ... Further, provide technical support through SQL analysis, system integrations, data migration, and ...

Linde

IT Business Analyst

Indianapolis, IN

* You will gather, document, and translate business requirements into clear functional/technical ... Further, provide technical support through SQL analysis, system integrations, data migration, and ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Collaborate with cross-functional teams to support business objectives. * Interpret data to provide ... Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data ...

Linde

IT Business Analyst

Indianapolis, IN · On-site

Linde Advanced Material Technologies Inc. IT Business Analyst Indianapolis, IN, United States ... Further, provide technical support through SQL analysis, system integrations, data migration, and ...

STI

Data Analyst

Indianapolis, IN · On-site

Collaborate with cross-functional teams to support business objectives. Interpret data to provide ... Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data ...

Dellfor Technologies

SQL developer

Indianapolis, IN

$80K/yr

Participates in project stand-up meetings with Business Analysts and IT staff to assess business ... Previous experience with SSIS and SSRS is preferred * Demonstrates initiative and works ...

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How much do business analyst sql r python jobs pay per hour?

As of May 29, 2026, the average hourly pay for business analyst sql r python in Indianapolis, IN is $45.34, according to ZipRecruiter salary data. Most workers in this role earn between $33.99 and $56.73 per hour, depending on experience, location, and employer.

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

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.
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Business Analyst Sql R Python jobs near you
Data Quality Lead

Data Quality Lead

Yochana IT Solutions Inc

Indianapolis, IN • On-site

Full-time

Posted 15 days ago

Job description

Company Description

Reach me at chaitu AT yochanait DOT com for more information 

Job Description

Job Title: Data Quality Lead

Job Location: Columbus IN

Project Duration: 6 months

GC/ USC/ H1B

Mandatory Skills

Minimum of 4 years' hands-on expertise with the data modeling and data management

1-year experience with Microsoft Data Quality Services

Exposure to Hadoop (Hortonworks preferable) stack (e.g. HDFS, MapReduce, Spark, Pig, Hive, Hbase, Flume etc.)

Minimum of 5 years of experience in database development and SQL

Minimum 2 years with Tableau

Minimum 2 years with R, Python, or Spark

Desired Skills

Technical understanding of Data Science

Hadoop and Analytics experience (MapReduce/R)

Job Description:

Implementation of Data Quality solutions consisting of meta data management, data quality, data validation, and data governance solutions

Deliver solutions via the Agile development method

Working with architects and providing implementation details to team members

Production of quality deliverables in a timely manner

Sharing knowledge and experience with various groups within an organization

Responsibilities:

Ability to communicate clearly with customers

Ability to independently analyze, diagnose, troubleshoot, and drive issues to resolution with minimal supervision

Ability to work independently within a large team environment

Ability to articulate and share knowledge as it pertains to data governance applications and architecture

Experience working in a team setting and brainstorming design for applications

Ability to quickly learn and show competence in new Advanced Analytics and Big Data technologies

Consulting experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply