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Business Analyst Sql R Python Jobs in Minneapolis, MN

THOMSON REUTERS

Lead Business Analyst

Eagan, MN · Hybrid

Lead Business Analyst We are seeking a highly skilled Lead Business Analyst to join our team. The ... Proficiency in SQL, Excel, and data analysis tools. * Excellent problem-solving skills with the ...

Thomson Reuters

Lead Business Analyst

Eagan, MN · On-site

Lead Business Analyst We are seeking a highly skilled Lead Business Analyst to join our team. The ... Proficiency in SQL, Excel, and data analysis tools. * Excellent problem-solving skills with the ...

Windquest

Sr Data Analyst - Crecera Brands

Minneapolis, MN · On-site

$75K - $110K/yr

... business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and ...

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All JobsBusiness Analyst Sql R Python JobsBusiness Analyst Sql R Python Jobs in Minneapolis, MN

Business Analyst Sql R Python information

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$75

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

As of Jul 14, 2026, the average hourly pay for business analyst sql r python in Minneapolis, MN is $49.51, according to ZipRecruiter salary data. Most workers in this role earn between $37.12 and $61.97 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

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.

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.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

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.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Business Analyst Sql R Python jobs near you

Data Business Analyst

Kanak Elite Services Inc

Minneapolis, MN • On-site

Contractor

Re-posted 5 days ago

Job description

Hello There,

Wish you a Happy Tuesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

DATA BUSINESS ANALYST. IT’S A HYBRID ROLE

LOCAL CANDIDATES TO MN.

NEED CANDIDATE WITH GENUINE EXPERIENCE WORKING WITH STATE CLIENT.

We’re currently searching for an experienced business analyst to help guide our organization to the future of our Data Platform through Data Modernization. From researching progressive systems solutions to evaluating their impacts, the ideal candidate will be a detailed planner, expert communicator, and top-notch analyst. This person should also be wholly committed to the discovery and development of innovative solutions in an ever-changing digital landscape.

Objectives of this role:

  • Drive awareness of requirements across business units and identify substandard data systems processes through evaluation of real-time data
  • Serve as thought leader for technical business processes, developing systems prototypes , data mapping diagrams, that promote increased efficiency and productivity on multiple levels
  • Perform, evaluate, and communicate thorough quality assurance at every stage of systems development, data integration
  • Determine and develop user requirements for data systems in production, to ensure maximum usability  

Responsibilities:

  • Partner with stakeholders across business units (ex: sales, finance, security, compliance) to develop analyses and documentation in a collaborative way, communicating effectively and efficiently with production, managerial, and executive teams
  • Evaluate, analyze, and communicate data systems requirements on a continuing basis, and maintain systems processes, data mappings, including the delivery of monthly status reports to all appropriate parties
  • Author and update internal and external documentation, and formally initiate and deliver requirements and documentation
  • Conduct daily data systems analytics to maximize effectiveness and troubleshoot problems
  • Develop meaningful and lasting relationships with partners for optimized systems integration, and respond to questions and concerns from managers and executives with supporting research and recommendations

Required skills and qualifications:

  • 10  or more years of experience in data systems requirements gathering, use cases development, test cases development and data mapping development.
  • High proficiency with SQL and database management
  • Proven analytical abilities
  • Experience in generating process documentation and reports
  • Excellent communication skills, with an ability to translate data into actionable insights
  • Preferred skills and qualifications
  • Bachelor’s degree (or equivalent) in information technology or computer science
  • Strong working knowledge of relevant Microsoft applications, including Visio
  • Proven ability to manage projects and user testing
  • Extensive experience with data visualization
  • High proficiency in technical writing