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Senior Manager Data Analytics Jobs in Romeoville, IL

What this job involves JLL is seeking a Manager, Data & Analytics for the National Leasing Advisory ... Demonstrated ability to translate quantitative work into narratives that non-technical senior ...

Senior Manager, Data & BI Practice

Chicago, IL · On-site

$69.25 - $92.75/hr

Overview of the Role The Senior Manager, Data & Analytics Advisory will play a critical role in driving cross-functional value creation across Aurelius Group's North American portfolio companies. You ...

Senior Manager, Data & BI Practice

Chicago, IL · On-site

$69.25 - $92.75/hr

Overview of the Role The Senior Manager, Data & Analytics Advisory will play a critical role in driving cross-functional value creation across Aurelius Group's North American portfolio companies. You ...

Senior Manager, Data Science, AbbVie Inc., North Chicago, IL (Hybrid (onsite 3 days a week/ 2 days ... Deliver biomarker analysis expertise for clinical studies. * Ensure accurate extraction of relevant ...

Role Overview We are seeking an experienced and hands-on Senior Manager, Data Engineering to lead ... This role will partner closely with Engineering, Product, Analytics, and business leaders to ...

Showing results 21-40

Senior Manager Data Analytics information

See Romeoville, IL salary details

$45.9K

$116.7K

$171.8K

How much do senior manager data analytics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior manager data analytics in Romeoville, IL is $116,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $137,600.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

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

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

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

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

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

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

Infographic showing various Senior Manager Data Analytics job openings in Romeoville, IL as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $116,717 per year, or $56.1 per hour.

Fraud Solutions - Data Analytics - Risk Detect - Senior Manager

Pwc

Chicago, IL • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Fraud Solutions - Data Analytics - Risk Detect - Senior Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage within our Risk & Regulatory practice. As a Senior Manager, you will utilize your skills and professional networks to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while fostering a diverse and inclusive team environment.
In this role at PwC, you will focus on leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Your ability to craft and convey clear, impactful messages that tell a holistic story will be crucial. You will also apply systems thinking to identify underlying problems and opportunities, validate outcomes with clients, and share alternative perspectives. This position offers the chance to deepen your skills and stay relevant in the ever-evolving field of data analytics.
Responsibilities
- Leading data analytics initiatives to drive insights and inform strategic decision-making for clients
- Developing and implementing innovative business intelligence solutions to optimize performance and enhance competitive advantage
- Utilizing advanced analytics techniques and tools such as Python, Oracle Business Intelligence, and QlikView to analyze complex data sets
- Building and maintaining relationships with stakeholders to identify and address data challenges effectively
- Overseeing the deployment of scalable data visualization and analytics solutions to support client objectives
- Promoting continuous process improvement and embracing change to enhance data analytics capabilities
- Coaching and mentoring teams to solve complex problems and deliver quality results
- Applying systems thinking to identify underlying problems and opportunities within client operations
- Validating outcomes with clients and acting on feedback to refine analytics strategies
- Directing teams through complex and ambiguous situations, maintaining composure and focus
What You Must Have
- At least a Bachelor's degree
- At least 7 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Leveraging advanced data analytics tools like QlikView and Spotfire
- Demonstrating proficiency in Python and Java for data-driven solutions
- Applying systems thinking to identify and address complex challenges
- Excelling in strategic questioning and stakeholder engagement
- Developing impactful business intelligence reports and dashboards
- Validating outcomes with clients and acting on feedback

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

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Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK