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R Programming Language Jobs in Illinois (NOW HIRING)

Advanced hands-on analytical skills, including proficiency with SQL, R, Python, or another analytical programming language, and experience querying, combining, and analyzing complex, fragmented, or ...

New

Advanced hands-on analytical skills, including proficiency with SQL, R, Python, or another analytical programming language, and experience querying, combining, and analyzing complex, fragmented, or ...

New

Experience with at least one statistical programming language: SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong ...

Experience with at least one statistical programming language: SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong ...

Experience with at least one statistical programming language: SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... and at least one programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work ...

Showing results 41-60

R Programming Language information

See Illinois salary details

$77.5K

$120.2K

$146.3K

How much do r programming language jobs pay per year?

As of Aug 22, 2026, the average yearly pay for r programming language in Illinois is $120,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $135,200.00 per year, depending on experience, location, and employer.

What is an R programming language?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R programming language position?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most common challenges faced by R programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What are the most commonly searched types of R Programming Language jobs in Illinois?

The most popular types of R Programming Language jobs in Illinois are:

What job categories do people searching R Programming Language jobs in Illinois look for?

The top searched job categories for R Programming Language jobs in Illinois are:

What cities in Illinois are hiring for R Programming Language jobs?

Cities in Illinois with the most R Programming Language job openings:

Infographic showing various R Programming Language job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $120,159 per year, or $57.8 per hour.

Full-time

Posted 2 days ago

New


Job description

In compliance with applicable laws, HSBC is committed to employing only those who are authorized to work in the US. Applicants must be legally authorized to work in the U.S. as HSBC will not engage in immigration sponsorship for this position

Our purpose - Opening up a world of opportunity - explains why we exist. Here at HSBC, we use our unique expertise, capabilities, breadth, and perspectives to open up new kinds of opportunity for our more than 40 million customers. We're bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world - for our customers, our people, our investors, our communities, and the planet we all share.

This position sits within the Global Payment Solutions (GPS) Business Management, Revenue Management, and Product Delivery teams, providing advanced analytical support across GPS globally. GPS is seeking a Senior Manager, Business Intelligence to join the Data and Insights team, reporting to the Data and Insights Manager. The successful candidate will be a proactive, innovative thinker with a robust analytical background and proficiency in at least one programming language (e.g., BigQuery, SQL, Python, R)

The role is primarily focused on delivering ad-hoc analytical projects, including data strategy, development, modelling, and segmentation, to drive informed decision-making and optimise business performance at a global level. The candidate will be instrumental in converting raw data into actionable business intelligence, enabling the organisation to anticipate trends, improve commercial outcomes, and surpass client expectations consistently across regions. As our Analytics and Insights Product Owner you will: Deliver analytical support across multiple global customer, product, and channel initiatives, providing insights that inform strategy, optimise resources, and deliver best-in-class solutions across markets Contribute to, and potentially lead, initiatives to establish global analytical best practices, standards, and reusable assets (e.g., common KPI definitions, dashboards, code libraries, modelling approaches) Design, implement, monitor, and evaluate analytic solutions that generate significant financial value across regions, ensuring scalability and comparability of insights Assess statistical models and tools, including those for attrition, profitability, customer value, and price/rate sensitivity, ensuring they are fit-for-purpose across different market dynamics Manage analytic deliverables supporting global Operating Plans, performance management, and Product Pricing strategies, including regional roll-ups and executive level insights Champion a data-driven culture, embedding analytical insights into strategic decision-making and fostering a test-and-learn environment across GPS globally Engage with key stakeholders across GPS and CIB (Corporate and Institutional Banking) business functions globally, partnering with regional product, sales, coverage, and business management teams Collaborate with support areas such as Marketing, Operations, Finance, Risk, Legal, and Compliance to ensure insights and solutions are aligned to local requirements while meeting global governance expectations Translate complex analysis into clear, actionable recommendations for senior stakeholders across multiple time zones and stakeholder groups Support the Data and Insights Manager, as well as senior management, in delivering a high-quality, data-driven analytics function with global coverage and consistency Collaborate with GPS stakeholders to develop and implement advanced analytic solutions that drive financial outcomes and enhance customer experience across markets Promote a diverse and inclusive environment aligned with HSBC's values, working effectively across cultures, geographies, and perspectives Support the development and monitoring of analytic solutions aligned with strategic objectives, leveraging modern data architectures and advanced analytics (Big Data, Machine Learning, AI) in a way that scales globally Produce and review required reports, KPIs, and programming logs, ensuring compliance with internal processes, data governance standards, and global control frameworks Conduct post-implementation reviews to refine future strategies and solutions, capturing lessons learned and enabling reuse across regions Identify risks (e.g., data quality, model risk, privacy, regulatory constraints, operational resilience) and develop mitigation plans in partnership with relevant global and regional stakeholders Youll likely have the following qualifications to succeed in this role: A combination of relevant experience and education, such as several years of progressive analytical experience and/or a Bachelor's degree in business, data science, statistics, economics, finance, information systems, or operational research Advanced quantitative and analytical skills, including customer segmentation, statistical modelling, database marketing, and portfolio management, with a strong grasp of methodologies for optimizing and evaluating analytic solutions Technical proficiency in BigQuery, SQL, SAS, Python, R, or similar, with demonstrated ability to manipulate and analyze large datasets

Solid understanding of data integration and management processes is essential Experience with Google Cloud Platform (GCP) analytical tools (or equivalent) is highly desirable, including BigQuery for data warehousing, Data Studio for visualization and reporting, and Cloud AI tools for advanced analytics and machine learning. Ability to leverage GCP to enhance data workflows and implement scalable, data-driven solutions is expected Strong problem-solving skills and the ability to collaborate effectively in a fast-paced environment with global stakeholders and competing priorities High-level conceptual and strategic thinking, with the ability to translate ideas into actionable plans and solutions Proven communication and influencing skills with executive management As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment.

You will be empowered to drive HSBC's engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You'll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC. We value difference.

We succeed together. We take responsibility. We get it done.

And we want you to help us build the bank of the future. Your final fixed pay offer will depend on the candidate and several variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.