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Advanced Analytics Manager Jobs in Edison, NJ (NOW HIRING)

Manager, Advanced Analytics

Hoboken, NJ · On-site

$109K - $186K/yr

Manager, Advanced Analytics Job Location: 221 River St, Hoboken, NJ 07030 Duties: Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining ...

Job Summary The main responsibility of the Manager, Advanced Analytics is to apply sophisticated modeling and other advanced analytic techniques to help guide our clients' media spending plans and ...

Job Summary The main responsibility of the Manager, AdvancedAnalyticsis to apply sophisticated modeling and other advanced analytic techniques to help guide our clients' media spending plans and make ...

Senior Manager, Advanced Analytics Job Location: 221 River Street, Hoboken, NJ 07030 Duties: Develop data models (algorithms, approaches) for analytics related projects within a business area or ...

Advanced Analytics Consultant

Iselin, NJ · On-site

$111K - $200K/yr

Advanced Analytics Consultant Advanced Analytics Consultant Hybrid 1: This role requires associates ... Managing custom ASO client business definitions thru Rule committee approval, intake submission ...

New

Provide thought leadership and technical expertise in advanced analytics, including predictive ... Manage and analyze large, complex datasets from multiple sources, connecting customer behaviors ...

Advanced Analytics Consultant Hybrid 1: This role requires associates to be in-office1 - 2days per ... Managing custom ASO client business definitions thru Rule committee approval, intake submission ...

New

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Advanced Analytics Manager information

See Edison, NJ salary details

$61.2K

$94.7K

$124.9K

How much do advanced analytics manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for advanced analytics manager in Edison, NJ is $94,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $112,700.00 per year, depending on experience, location, and employer.

What is the difference between Advanced Analytics Manager vs Data Scientist?

AspectAdvanced Analytics ManagerData Scientist
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related fields; often managerial experienceBachelor's or Master's in Data Science, Statistics, or related fields; sometimes PhD
Work EnvironmentLeads analytics teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in teams
Employer & Industry UsageUsed across industries for strategic insights and team leadershipCommonly employed for developing models and insights at technical levels

The Advanced Analytics Manager oversees analytics teams and strategic projects, focusing on leadership and project management. Data Scientists primarily perform technical data analysis and model development. While both roles require strong analytical skills, the manager role emphasizes leadership and coordination, whereas the Data Scientist role is more technical and hands-on.

Advanced Analytics Manager

Advanced Analytics Manager

United Parcel Service (UPS)

Parsippany, NJ • On-site

$97K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

New


UPS rating

7.3

Company rating: 7.3 out of 10

Based on 2,315 frontline employees who took The Breakroom Quiz

22nd of 63 rated delivery companies


Job description

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

The Advanced Analytics Manager solves complex business problems using advanced mathematical analysis, data modeling, and reporting. This role develops and implements analytics, business intelligence, and data solutions that improve profitability, service levels, and operational efficiency.

This position works closely with business stakeholders and collaborates with Operations Research Analysts and Data Scientists to translate requirements into scalable analytics and optimization solutions. It also contributes to the development of operating methodologies and standards and supports business initiatives through data-driven insights and decision support.

RESPONSIBILITIES

  • Analytics Development: Design and implement analytical models and solutions for moderately to highly complex business problems.
  • Business Intelligence: Develop dashboards, reports, and KPIs to support data-driven decision-making.
  • Project Execution: Lead analytics projects end-to-end, ensuring timely delivery and successful deployment.
  • Stakeholder Engagement: Collaborate with business partners and product owners to identify opportunities and communicate actionable insights.
  • Standards & Best Practices: Contribute to analytics methodologies, documentation, and reusable frameworks.
  • Team Support: Mentor junior analysts and promote best practices across the team.

QUALIFICATIONS

Required

  • Bachelor's degree in a quantitative field (e.g., Operations Research, Mathematics, Statistics, Computer Science, Engineering) or equivalent experience.
  • 4+ years of experience in analytics, operations research, data science, or related fields.
  • Strong analytical skills with experience applying advanced methods (e.g., statistical analysis, optimization, or machine learning).
  • Proficiency in SQL, C#, and object-oriented programming.
  • Experience with BI or visualization tools (e.g., Power BI, Tableau).
  • Ability to translate business problems into analytical solutions and deliver actionable insights.
  • Strong written and verbal communication skills.

Preferred

  • Master's degree in a quantitative field (e.g., Operations Research, Mathematics, Statistics, Computer Science, Engineering) or equivalent experience.
  • Experience with large-scale data environments and cloud platforms.
  • Familiarity with data pipelines, Extract, Transform, and Load (ETL) processes, and data warehousing concepts.
  • Experience deploying analytics solutions in production environments.
  • Knowledge of logistics, supply chain, or operational environments.

Grade: 30E

Last day for internals to apply is 7/17/26

Pay Range:

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,320-$138,720. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual short-term and/or long-term incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. The company offers the following benefits for this position, subject to applicable eligibility requirements. Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program.

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.


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