1

Business Analyst Sql R Python Jobs in Schaumburg, IL

SQL, Python, ETL/ELT, Architectural Patterns, Data Analysis, Requirement Gathering, Cross functional communication As a Technical Business Analyst, you will... * Gain a deep understanding of various ...

Working on Identifying KPI'S and business cases for Retail Specialty to track the performance of ... SQL, Teradata, Tableau, R, Python, SAS Amit Bhandari Sr. Talent Acquisition Specialist Email amib ...

Senior Business Analyst

Chicago, IL · Hybrid

$95.40K - $123.20K/yr

Data management and visualization tools (SQL, Figma, Tableau, Business Objects, etc.) * Complex data analytics supported by python and R * Fundamentals of virtual and physical infrastructure ...

Senior Business Analyst

Chicago, IL · Hybrid

$95.40K - $123.20K/yr

... SQL, Figma, Tableau, Business Objects, etc.) * Knowledge and/or vested interest in complex data analytics supported by python and R Responsibilities * Act as a partner to both the business and the ...

Experience in Python and R is a plus. * Basic proficiency in SQL is a must. * Strong analytical thinking and problem-solving skills. * Ability to develop business requirements and translate them into ...

Experience in Python and R is a plus. Basic proficiency in SQL is a must. Strong analytical thinking and problem-solving skills. Ability to develop business requirements and translate them into ...

Business Analyst

Schaumburg, IL · Hybrid

$66K - $123K/yr

R. Berkley Corporation , one of the nation's premier commercial property casualty insurance ... Strong knowledge and experience with Microsoft SQL server querying databases. * Detail oriented ...

next page

Showing results 1-20

Business Analyst Sql R Python information

See Schaumburg, IL salary details

$17

$46

$70

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

As of May 28, 2026, the average hourly pay for business analyst sql r python in Schaumburg, IL is $46.58, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $58.32 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.
What cities near Schaumburg, IL are hiring for Business Analyst Sql R Python jobs? Cities near Schaumburg, IL with the most Business Analyst Sql R Python job openings:
Data Science Analyst - Communications Performance Data (Hybrid)

Data Science Analyst - Communications Performance Data (Hybrid)

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 7 days ago


United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 330 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines


Job description

Description
Our Corporate Communications team brings our uniquely United story to life with the public, our customers and employees, across the world. From internal communications and newsletters to public and media relations campaigns, and social media strategy, we're sharing our story with the world in a way that's clear, consistent and inspiring. Get your pen ready and help us continue to write our next chapter.
Job overview and responsibilities
The Data Science Analyst will support the measurement, analytics and insight generation for global employee communication programs delivered across multiple channels (e.g., intranet, email, employee information display screens, etc.) and content types (i.e. written, video, etc.).
This role will apply quantitative and qualitative advanced analytical techniques - including sentiment, descriptive, diagnostic, and predictive analyses - to assess effectiveness, identify opportunities for optimization, and tell a holistic story of performance. The Applied Data Science Analyst will work with both big and small, structured and unstructured data, translating complex technical findings into clear, actionable business insights that inform strategy and execution.
Partnering closely with the Senior Manager, Measurement & Analytics, this role will help drive data-informed decision making, develop scalable approaches, and help evolve how employee communications performance is measured and optimized.
This is a Chicago-based, hybrid position requiring two days in office weekly.
  • Analysis, Insights & Visualization:
    • Design, develop, and evolve measurement frameworks to assess the effectiveness of employee communication campaigns across channels and content types
    • Apply multiple advanced analytical techniques (e.g., statistical analysis, predictive modeling, sentiment analysis, A/B testing analysis) to regularly evaluate and adjust baselines, trends, and drivers of engagement.
    • Build and maintain scalable, insight-driven data products (e.g., reports, dashboards, models, and visualizations) that enable stakeholders to understand performance and take action
    • Synthesize structured and unstructured data (e.g., engagement metrics, survey responses, sentiment signals) into cohesive insights that inform strategy and decision-making
    • Analyze key performance drivers across email, web, and intranet channels to diagnose performance issues and recommend optimization strategies
    • Regularly evaluates and adjusts models to ensure peak performance, leveraging A/B testing and other validation techniques to refine predictive outputs
    • Builds full-cycle analytics reports, and dashboards using SQL, R, Python, and/or other scripting and statistical tools
  • Data Preparation:
    • Partner with cross-functional teams and business stakeholders to define analytical requirements, success metrics, and data needs that are aligned to the business communication objectives
    • Support the development of data pipelines, analytical workflows, and production standards to ensure database optimization, and data accuracy, process scalability, and overall efficiency
    • Evaluate, recommend, and help implement analytics platforms, tools, and features that enhance measurement capabilities and enable more advanced analysis
    • Establish best practices for data governance, documentation, and reproducibility within employee communications analytics
  • Modeling & Algorithm Development:
    • Develops and iterates on machine learning models, from quick prototypes to production deployment
    • Manage, optimize and potentially develop new models in R Studio, leveraging statistical methods and scalable data solutions
    • Applies advanced data engineering practices to improve data processing efficiency and integration across platforms
  • Innovation & Thought Leadership:
    • Stay current on advanced analytics, employee communications, and marketing measurement trends, while identifying opportunities to apply new approaches
    • Contribute to a culture of experimentation, learning, and evidence-based decision-making across the team
    • Document AI models, methodologies and processes, ensuring that best practices are followed and shared within the team, and the broader organization

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree
  • 2+ years of related experience in a comparable analytical role
  • Proven ability to synthesize complex quantitative and qualitative data into clear and compelling data visualizations and narratives for stakeholders
  • Strong expertise in advanced analytical techniques, including but not limited to, trend analysis, correlation analysis, regression analysis, and predictive modeling
  • Demonstrated experience working with large datasets both structured and unstructured, using analytical tools and languages - SQL and Excel required; R, Python, or similar preferred
  • Strategic and creative problem solver
  • Ability to multi-task and balance competing priorities and tight deadlines in a fast-changing environment
  • Highly effective collaborator, able to work in a matrixed, cross-functional environment and influence up and across the org
  • Passion for process improvements, efficiency and continuous optimization
  • Strong project management skills and experience
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's degree
  • Preferred experience in the communications, marketing or advertising industries
  • Expertise in communications, marketing or advertising digital metrics (e.g., email and web behavior metrics)
  • Expertise with Google Analytics or similar data collection and tag management tools/processes, as well as Salesforce Marketing Cloud (or similar ESP)
  • Expertise with data visualization tools (LookerStudio, Power BI, Excel pivot tables and charts or similar)
  • Knowledge of A/B and multi-variate testing best practices in order to structure tests for statistically significant results

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media