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Data Analytics Computer Science Jobs in Naperville, IL

Uber

Data Analyst, Measurement Science, Ads

Chicago, IL · On-site

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field Preferred Qualifications: - Understanding of digital advertising or media analytics - Experience with ...

Uber

Data Analyst, Measurement Science, Ads

Chicago, IL · On-site +1

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field**Preferred Qualifications:**- Understanding of digital advertising or media analytics- Experience with ...

Request Technology, LLC

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141K/yr

Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Computer Science ... as a data engineer, software engineer, data scientist, financial risk analyst, business ...

Munich Re

Technical Architect - Data, Analytics & AI

Lisle, IL · Hybrid

$62.75 - $80.75/hr

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

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All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Naperville, IL

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$94

How much do data analytics computer science jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data analytics computer science in Naperville, IL is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $61.92 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities near Naperville, IL are hiring for Data Analytics Computer Science jobs? Cities near Naperville, IL with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you
Sr Manager Supply Chain Data and Analytics

Sr Manager Supply Chain Data and Analytics

Ulta Beauty

Bolingbrook, IL • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago

Ulta Beauty rating

6.0

Company rating: 6.0 out of 10

Based on 997 frontline employees who took The Breakroom Quiz

12th of 23 rated health and beauty retailers

Job description

OVERVIEW
Imagine. With over 1,400 stores throughout the U.S. and a thriving supply chain network, there has never been a greater need for people of high initiative, of big-picture thinking, and adaptability to share in our journey. At Ulta Beauty, we have greater ambitions. Growing what works. Iterating in areas that have promise. Creating new offerings for industry advantage.
In all of this is the opportunity to experience real impact, to effectuate change, to give wings to a spirit of creativity and entrepreneurism. Because the challenges are multi-faceted and ever-changing. But for those inspired by real-world demands that press and stretch, that call for new and smarter ideas, that require heavy doses of trust and respect, Ulta Beauty encourages you to imagine with us.
THE IMPACT YOU CAN HAVE:
The Senior Manager of Supply Chain Data & Analytics leads Supply Chain reporting and analytics across the organization, overseeing report development, enhancements, ongoing support, and continuous improvement. This role manages a team of leads and analysts, and ensures accurate, timely delivery of reporting, KPI visibility, and actionable insights that support operational performance and business decision-making.
This leader partners closely with Supply Chain leadership, cross-functional business teams, and IT to translate business needs into scalable data and analytics solutions, proactively manage priorities and risks, and drive work through completion. In addition to leading reporting delivery and support, this role strengthens team capability, advances self-service and data governance practices, and influences technology decisions, source migration, data mapping, and reporting platforms. This individual also helps identify and influence advanced analytics opportunities that improve supply chain decision-making, operational efficiency, and long-term analytics maturity.
YOU'LL ACCOMPLISH THESE GOALS BY:
  • Lead the end-to-end Supply Chain reporting portfolio, including intake, requirements, development, deployment, support, and continuous improvement.
  • Lead, coach, and develop managers, lead analysts, and senior analysts across the SCDA team.
  • Serve as the lead of the SCDA leadership team and help define go forward strategy for Data & Analytics.
  • Partner with Supply Chain leadership to prioritize and reprioritize reporting and analytics needs based on business value, risk, and capacity.
  • Ensure production support issues and defects are resolved within SLA and that communication to Supply Chain leadership is timely and aligned.
  • Build and manage external partnerships, including academic or industry partners, to advance analytics capabilities within Supply Chain.
  • Develop advanced analytics capability and technical skillsets across the analyst team.
  • Oversee the design and development of data models that support Supply Chain reporting and analytics needs.
  • Oversee the creation and enhancement of reports, dashboards, and KPI solutions that inform Supply Chain performance and decision-making.
  • Partner with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
  • Partner with IT to define data and system requirements needed to support scalable analytics and reporting solutions.
  • Identify business information needs and translate them into data, reporting, and system requirements that improve decision-making.
  • Define, implement, and monitor KPIs for the Data & Analytics team to measure delivery, support, and team performance.
  • Stay current on emerging data, analytics, BI, and supply chain technology trends through external networking, professional organizations, industry forums, and ongoing learning.
  • Evaluate business requirements and existing processes to identify opportunities for improved analytics, reporting, and operational efficiency.
  • Support broader organizational goals by taking on new responsibilities, driving cross-functional initiatives, and identifying opportunities to add value across the team.
  • Continuously evolve team capabilities, tools, and processes by introducing and scaling leading practices in data, analytics, and reporting.
  • Manage the relationship with technology providers to ensure application enhancements, customization, and new releases meet Ulta's needs

THE ESSENTIALS FOR SUCCESS:
  • Bachelor's or Master's degree from an accredited college or university in Information Technology, Supply Chain, Analytics, Computer Science, Engineering, Business, or a related field.
  • 10+ years of experience in data and analytics, information technology, retail supply chain, consulting, or related business environments.
  • 3+ years of people leadership experience, including leading managers, analysts, or cross-functional teams.
  • Experience leading reporting, analytics, or BI functions in a complex business environment, preferably supporting Supply Chain or Retail operations.
  • Hands-on experience with modern analytics and reporting tools such as Power BI, Google Cloud Platform (GCP)/BigQuery, SQL, Python, Databricks, and related cloud data platforms.
  • Strong technical aptitude and experience with relational databases, data models, and enterprise data environments.
  • Proven ability to translate business needs into reporting, analytics, data, and system requirements, and partner effectively across business, operations, and IT teams.
  • Demonstrated ability to lead intake, prioritization, and delivery across multiple workstreams while adapting to shifting priorities, timelines, and business needs.
  • Strong leadership, communication, analytical, and problem-solving skills, including proactive communication, risk escalation, delegation, coaching, and accountability.
  • Interest in or experience identifying advanced analytics opportunities that improve decision-making, operational efficiency, and data maturity; exposure to AI/ML platforms such as Vertex AI is a plus.
  • Travel - Minimal ~ 5%
  • Ability to work long hours and weekends during critical periods.
#LI-JB2
#LI-Hybrid
The pay range for this position is $119,300.00 - $185,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta
ABOUT
At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services.
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

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