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Analytics Manager Jobs in Wayne, PA (NOW HIRING)

Ra

Marketing Analytics Manager

Philadelphia, PA

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Ra

Marketing Analytics Manager

Wilmington, DE

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

JP Morgan Chase

Quant Analytics Manager

Wilmington, DE · On-site

Job Summary As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls ...

3E

Marketing Analytics Manager

Philadelphia, PA · Remote

$120K - $135K/yr

About the Role 3E is looking for an Marketing Analytics Manager to help transform how our Marketing organization measures performance, understands what is driving results, and turns those insights ...

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Analytics Manager information

See Wayne, PA salary details

$58.4K

$113.6K

$162.2K

How much do analytics manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for analytics manager in Wayne, PA is $113,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $135,000.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

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What cities near Wayne, PA are hiring for Analytics Manager jobs?

Cities near Wayne, PA with the most Analytics Manager job openings:

Analytics Manager jobs near you
Infographic showing various Analytics Manager job openings in Wayne, PA as of August 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $113,567 per year, or $54.6 per hour.

Quant Analytics Manager

JPMorgan Chase & Co.

Wilmington, DE • On-site

$180 - $240/hr

Other

Re-posted 8 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description

Job Summary

As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls organization. You will drive data-driven innovation to solve complex business problems, manage a team of Quant Analytics Data Analysts, and build strong partnerships across the CCB Data Analytics organization and other functional groups to deliver scalable, high-impact data solutions.

Key Responsibilities
  • Set the data & analytics strategy:Define and execute a roadmap that solves critical business challenges and uncovers new opportunities.
  • Lead and develop the team:Manage, coach, and grow a team of Quant Analytics Data Analysts; set priorities and uphold a culture of quality, accountability, and innovation.
  • Partner with senior stakeholders:Serve as a primary analytics point of contact for executives and cross-functional leaders, ensuring deliverables align to business needs and measurable outcomes.
  • Drive advanced analytics delivery:Provide hands-on leadership designing and delivering sophisticated analytical solutions, translating business needs into data strategies, approaches, and outputs.
  • Communicate impact clearly:Present plans, progress, and results to senior leadership with crisp narratives, actionable insights, and transparent status reporting.
  • Enable innovation and AI adoption:Stay current on analytics/AI trends; evaluate, pilot, and implement new tools and techniques (including AI agents) to improve speed, quality, and impact.
  • Optimize resources for business outcomes:Allocate capacity and resources to maximize impact and influence outcomes tied to the organization’s P&L; act as a recognized technical leader.
  • Improve processes and governance:Identify and implement enhancements to processes, tooling, and governance; communicate recommendations effectively to business leaders.
  • Uphold risk and compliance standards:Operate within defined risk parameters and compliance obligations, applying strong judgment and proactively strengthening the control environment.
Minimum Requirements
  • Education:Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related field).
  • Experience:8+ years of demonstrated experience delivering creative, high-impact data solutions.
  • AI enablement:Hands-on experience integrating AI agents to improve efficiency and effectiveness of analytics delivery.
  • Tools and programming:5+ years of advanced experience withAlteryx, Python, and Tableau.
  • Data management:Proficiency inSQLand foundational data table operations; strong problem-solving skills; demonstrated understanding of data architecture design concepts.
  • Analytical and communication skills:Curious, detail-oriented, and motivated by complex analytical challenges; ability to design/evaluate metrics aligned to business goals and communicate technical concepts to varied audiences.
  • People leadership:Experience managing diverse, multi-site teams.
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