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Senior Data Analyst Jobs in Romeoville, IL (NOW HIRING)

The Data Collection Senior Analyst supports clients and matter teams by executing defensible electronic data collections for litigation, investigations, and regulatory matters. Working with the Data ...

Senior Data Architect

Chicago, IL · On-site

$69.25 - $92.75/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Looking for a Senior Data Engineer to be part of our Engineering Team. As a Senior Data Engineer ... Help our analysts and engineers build and optimize data pipelines to understand our large and ever ...

Sr. Data Product Analyst

Oak Brook, IL · On-site

$86K - $109K/yr

This role will serve as the final authority when the business has questions related to data products. his role is a hybrid between a next-gen Business Intelligence (BI) analyst and an Analytics ...

Senior Data Systems Analyst

Chicago, IL · On-site

$88K - $111K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Senior Data Systems Analyst

Downers Grove, IL · On-site

$85K - $108K/yr

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ... IDEA (IPH Data & Enterprise Analytics) is IPH's enterprise data organization responsible for ...

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict ... Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of ...

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict ... Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of ...

Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding ...

Showing results 41-60

Senior Data Analyst information

See Romeoville, IL salary details

$56.1K

$101.2K

$138.2K

How much do senior data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior data analyst in Romeoville, IL is $101,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $110,600.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Romeoville, IL?

The most popular types of Data Analyst jobs in Romeoville, IL are:

What are popular job titles related to Senior Data Analyst jobs in Romeoville, IL?

For Senior Data Analyst jobs in Romeoville, IL, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst jobs in Romeoville, IL look for?

The top searched job categories for Senior Data Analyst jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Senior Data Analyst jobs?

Cities near Romeoville, IL with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in Romeoville, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,177 per year, or $48.6 per hour.

Sr. Manager, Data Analyst - Network Compliance

Capital One

Chicago, IL

$88K - $111K/yr

Full-time

Re-posted 7 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

91st of 171 rated banks


Job description

Sr. Manager, Data Analyst - Network Compliance

The Network Compliance Senior Manager Data Analyst will perform a key risk management role in the second line of defense for Capital One's network and merchant businesses to help implement the framework for the network compliance program. The Network Compliance Senior Manager is a critical member of the team responsible for delivering effective challenge and compliance advice for business processes worldwide, as well as serving as a subject matter expert to ensure the development of the network compliance program at Capital One aligns with the company's broader enterprise risk management framework.

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Senior Manager Data Analysts in Network Compliance at Capital One are highly motivated Risk Management professionals with excellent organizational, leadership and communication skills. They have a high level of exposure to business leaders and the opportunity to work with executives to create and implement innovative solutions to identify and mitigate potential risks to the company. Data Analysts will drive current and future strategy by leveraging your analytical skills. Assist with building and using models to test and validate data. Work with vast amounts of data in new and evolving environments. Be a part of a growing team developing metrics and reporting in existing, new and emerging markets. Be a part of the full life cycle of Global Payment Network Compliance projects and see end results. They will collaborate across business units and work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority. Mine data to arrive at specific and crucial information for the organization. Identify and implement process, data, metric and reporting improvements for the organization. Work with large and complex databases containing millions to billions of records. Improve operational efficiencies and effectiveness. Conduct analysis to evaluate reporting, processes and tests. Extract and analyze data to gauge LOB product offerings and compliance adherence. Consult on the design and implementation of new production and data storage systems. Develop and implement strategic tests of products, initiatives and marketing materials.

Responsibilities:

  • Develop understanding of network and merchant business and compliance processes

  • Proactively identify trends in business and compliance data and demonstrate appreciation of network payments compliance risks, including emerging external risks

  • Collaborate with first and second line functions to analyze the existing risk management program framework and applicability to the network and merchant services business; educate and influence risk management colleagues and senior leaders with respect to data utilization including nuanced or specialized considerations

  • Develop strong relationships with Business Risk, Legal, and Audit peers to support the ongoing network compliance integration

As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

On any given day you will be challenged by three types of work - Innovation, Business Intelligence and Data Management:

Innovation

  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence

  • Partner with the business and compliance peers to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization

  • Drive analysis that provides meaningful insights on business strategies

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data

Our ideal candidate will have:

  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline

  • Scripting experience in (Python, R, Spark, and SQL)

  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within Snowflake services

  • Strong organizational skills, clear results orientation, and focus on achieving both short and long term goals

  • Successful track record of thriving in both a highly regulated industry and a fast paced, entrepreneurial, and dynamic environment

  • Collaborative, solution-oriented mindset with solid teamwork skills; ability to build and leverage the capabilities of a high-performing team

  • Highly developed interpersonal, presentation, and communications skills (written and oral) coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal, and negotiation skills

  • Ability to balance operating independently with appropriate escalation and interaction with senior leadership

  • Ability to thrive as a team player and interact with associates across functions, departments, and job levels, both inside and outside the Compliance Department;

  • Work to gain an understanding of key regulatory requirements and three lines of defense risk management framework to better support those you serve.

  • Will be on the leading edge of analytical technology with a passion for the newest and most innovative tools.

  • Possessing strong problem solving and conceptual thinking abilities in addition to strong leadership skills.

Basic Qualifications

  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

  • At least 5 years of experience performing professional data analysis work

  • At least 5 years of experience leading and developing with open source data technologies

  • At least 2 years of experience managing people

Preferred Qualifications:

  • Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field.

  • At least 4 years of experience with Python, R, Spark or SQL

  • At least 1 years of project management experience

  • At least 1 year of experience in Tableau

  • At least 1 year of experience utilizing and developing within AWS service

  • At least 3 years of legal, compliance, or risk management experience OR at least 3 years of regulatory experience in consumer financial services or payments industry

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $200,700 - $229,100 for Sr. Data Analysis Manager


Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager


New York, NY: $219,000 - $249,900 for Sr. Data Analysis Manager


Chicago, IL: $182,500 - $208,300 for Sr. Data Analysis Manager








Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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