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Business Analyst Sql R Python Jobs in Downers Grove, IL

Don't have to have SQL writing skills or Power BI skills. (nice to have but not mandatory) JD: This position requires extensive and practical experience with Data Analysis and Decision Science. The ...

Business Analyst

Chicago, IL · On-site

$83K - $127K/yr

Job Title: Business Analyst Location: Chicago, Illinois (Hybrid) Employment Type: Full-time ... Proficiency in SQL for data extraction and transformation. * Experience with Python and pandas for ...

Business Analyst (3-5 Years Experience) Location: Onsite Employment Type: Contract Job Summary We ... Proficiency in tools like Excel, SQL, Power BI/Tableau, or similar * Familiarity with Agile/Scrum ...

Sr Associate, Fraud Analytics

Chicago, IL · On-site

$100K - $130K/yr

Bachelor's Degree in Technology, Statistics, Business Analytics, related field (Master's Or PHD ... as SQL, R, Python * 5+ years of experience conducting data analytics in a lending/banking ...

Sr Associate, Fraud Analytics

Chicago, IL · On-site

$100K - $130K/yr

Bachelor's Degree in Technology, Statistics, Business Analytics, related field (Master's Or PHD ... as SQL, R, Python * 5+ years of experience conducting data analytics in a lending/banking ...

Business Analyst

Chicago, IL · On-site

$60 - $70/hr

Immediate need for a talented Business Analyst. This is a 06 - 12+months contract opportunity with ... Experience with SQL, data analysis, reporting tools, Power BI, Tableau, or other BI platforms.

Business Analyst IV Location: CHICAGO, IL (Hybrid) Duration: 12+ Months Rate: DOE : POSITION ... High proficiency with SQL language and database management (5-8 years of experience) NICE-TO-HAVES

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Business Analyst Sql R Python information

See Downers Grove, IL salary details

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

As of Aug 13, 2026, the average hourly pay for business analyst sql r python in Downers Grove, IL is $47.32, according to ZipRecruiter salary data. Most workers in this role earn between $35.48 and $59.23 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

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?

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 with 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.

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Business Intelligence Analyst

Benda Infotech

Chicago, IL

$67K - $80K/yr

Full-time

Posted 8 days ago


Job description

We are looking for a detail-oriented and analytical Business Intelligence (BI) Analyst to join our growing team. This is an excellent opportunity for recent graduates who are passionate about data, business analytics, and creating meaningful insights that support strategic decision-making.

As a Business Intelligence Analyst, you will work with business and technical teams to collect, analyze, and visualize data, helping stakeholders make informed decisions through dashboards, reports, and data-driven recommendations.

Key Responsibilities
  • Collect, clean, and analyze data from multiple sources.
  • Create interactive dashboards and reports using BI tools.
  • Monitor business performance and identify trends, patterns, and opportunities.
  • Develop and maintain KPIs and performance metrics.
  • Perform ad hoc analysis to support business decisions.
  • Collaborate with cross-functional teams to understand reporting requirements.
  • Prepare clear presentations and reports for management.
  • Ensure data accuracy, consistency, and integrity.
  • Assist in automating recurring reports and analytical processes.
  • Support business planning through data-driven insights.
Required Qualifications
  • Bachelor's degree in Business Analytics, Computer Science, Information Technology, Statistics, Mathematics, Commerce, Economics, Engineering, or a related field.
  • Fresh graduates and candidates with up to 1 year of experience are encouraged to apply.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail.
  • Good written and verbal communication skills.
  • Ability to work independently and collaboratively.
Technical Skills
  • Microsoft Excel (Advanced functions, Pivot Tables, Charts)
  • SQL (Joins, Aggregations, Filtering, Basic Query Writing)
  • Power BI or Tableau
  • Basic understanding of databases
  • Data Visualization principles
  • Data Cleaning and Validation
  • Basic knowledge of Statistics
  • Familiarity with Python or R (preferred but not mandatory)