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Product Analytics Manager Jobs in Delaware (NOW HIRING)

This role partners directly with business stakeholders across marketing, product and finance to ... Manage and analyze large, complex datasets from multiple sources, connecting customer behaviors ...

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Product Analytics Manager information

See Delaware salary details

$51.5K

$159.5K

$197.2K

How much do product analytics manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for product analytics manager in Delaware is $159,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $197,200.00 per year, depending on experience, location, and employer.

What is a product analytics manager?

Product Analytics Managers are professionals responsible for analyzing data related to a company's products to inform decision-making and strategy. They help teams understand user behavior, product performance, and market trends by leveraging data analysis and visualization tools. Their insights guide product development, feature prioritization, and business growth. Typically, they collaborate with product managers, engineers, designers, and business stakeholders to ensure that data-driven decisions are at the heart of product strategy.

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

To thrive as a Product Analytics Manager, you need expertise in data analysis, statistical modeling, and product strategy, often backed by a degree in a quantitative field and experience in analytics roles. Proficiency with analytics tools such as SQL, Python, Tableau, and product analytics platforms like Mixpanel or Amplitude is typically required. Strong communication, problem-solving, and stakeholder management skills help translate data insights into actionable product improvements. These skills are essential for driving data-informed decisions that enhance product performance and align with business goals.

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

AspectProduct Analytics ManagerData Analyst
Required credentialsBachelor's/Master's in Business, Analytics, or related fields; experience with analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work environmentCollaborates with product teams, marketing, and engineeringSupports various departments with data insights
Industry usageCommon in tech, e-commerce, SaaS companiesWidespread across industries including finance, healthcare, retail

The Product Analytics Manager focuses on analyzing product performance and user behavior to inform product development, while the Data Analyst provides broader data insights across departments. Both roles require strong analytical skills and familiarity with data tools, but the Product Analytics Manager has a more specialized focus on product metrics and strategy.

What are some common challenges faced by product analytics managers when aligning data insights with product strategy?

Product Analytics Managers often encounter challenges in translating complex data findings into actionable insights that resonate with both technical and non-technical stakeholders. Balancing immediate product needs with long-term strategic goals can require prioritizing certain analyses and recommendations over others. Additionally, ensuring data quality and consistency across multiple sources can be demanding, especially in fast-paced environments where product features and user behaviors evolve quickly. Effective communication and collaboration with product managers, engineers, and designers are essential to drive data-informed decisions that support overall product growth.
What are the most commonly searched types of Product Analytics jobs in Delaware? The most popular types of Product Analytics jobs in Delaware are:
What are popular job titles related to Product Analytics Manager jobs in Delaware? For Product Analytics Manager jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Product Analytics Manager jobs in Delaware look for? The top searched job categories for Product Analytics Manager jobs in Delaware are:
What cities in Delaware are hiring for Product Analytics Manager jobs? Cities in Delaware with the most Product Analytics Manager job openings:
Infographic showing various Product Analytics Manager job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $159,542 per year, or $76.7 per hour.

Vice President, Quantitative Analytics Manager - Voice Product Analytics

慨正橡扯

Wilmington, DE • On-site

$120 - $180/hr

Other

Medical, Retirement

Posted 20 days ago


Job description

JOB DESCRIPTION

Help shape experiences that millions of customers rely on, using data to turn complex interactions into clear actions. In this role, you will partner with product and strategy teams to uncover what drives outcomes, where customers struggle, and what changes will make the biggest difference. You will bring structure to ambiguous problems, build credible measurement, and communicate insights in a way that drives decisions. If you enjoy combining deep analytics with storytelling and leadership, this role offers high visibility and meaningful impact.

Job Summary

As a Quantitative Analytics Manager in the Voice Product Analytics team within Consumer and Community Banking Data & Analytics, you will lead initiatives that improve customer experience and reduce operating expenses. You will work across the full analytics lifecyclefrom scoping and data development to hypothesis design, analysis, and delivery of insights. You will connect customer interaction data across channels to understand journeys and pinpoint friction points. You will translate findings into clear recommendations and present them in a way that enables leaders to make evidence-based decisions.

Job Responsibilities
  • Partner with product teams to understand business goals, key drivers, and the data behind them
  • Define and lead measurement strategies, including key performance indicators, trend monitoring, and dashboarding
  • Build segmentations, optimizations, and other analytical approaches to improve performance and customer outcomes
  • Import, clean, transform, and validate data from multiple sources to prepare it for analysis
  • Analyze customer interactions across channels (calls, branch, online, mobile) to map journeys and identify friction
  • Design experiments and pilot evaluations (including A/B tests) and measure program impact to inform future strategy
  • Use tools such as SQL, Python, R, Alteryx, Tableau, and Adobe Analytics to analyze complex datasets and identify patterns
  • Synthesize insights into clear narratives that separate signal from noise and support decision-making
  • Collaborate with data management, strategy, and analytics partners across teams to drive shared outcomes
  • Mentor and develop a small team of onshore and offshore analytics professionals
Required qualifications, capabilities, and skills
  • 7 years of experience applying analytics and statistical techniques (hypothesis development, experiment design, analysis, and actionable recommendations)
  • Bachelor's degree in a quantitative or related field
  • Strong proficiency withSQLandPython, plus experience with tools such asAlteryx, Tableau, and Adobe Analytics
  • Ability to independently query and extract data from enterprise data sources and databases
  • Demonstrated strength in data quality discipline (validation, documentation, and attention to detail)
  • Strong problem-solving skills, with the ability to work independently and collaboratively to deliver practical solutions
  • Experience communicating insights clearly through written summaries and presentations for leadership audiences
Preferred qualifications, capabilities, and skills
  • Master's degree and/or PhD in a relevant quantitative field
  • Proven people leadership experience, including coaching, prioritization, and team development
  • Experience applying machine learning and artificial intelligence methods to business problems
  • Experience working in cloud and modern data environments (Amazon Web Services, Snowflake)
  • Familiarity with agentic AI tools used in analytics workflows (for example, GitHub Copilot, Cortex AI)
ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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