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Analytics Manager Jobs in Delaware (NOW HIRING)

We are seeking a Agile Product Analyst / Manager to join our dynamic team. The ideal candidate will have strong experience in Agile product delivery, fraud/banking domains, data analysis, and SDLC ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

What You'll Contribute As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be ...

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Analytics Manager information

See Delaware salary details

$64.6K

$125.4K

$179.2K

How much do analytics manager jobs pay per year?

As of Jul 4, 2026, the average yearly pay for analytics manager in Delaware is $125,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $149,100.00 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.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

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.

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 are the most commonly searched types of Analytics jobs in Delaware? The most popular types of Analytics jobs in Delaware are:
What are popular job titles related to Analytics Manager jobs in Delaware? For Analytics Manager jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Analytics Manager jobs? Cities in Delaware with the most Analytics Manager job openings:
Infographic showing various Analytics Manager job openings in Delaware as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $125,434 per year, or $60.3 per hour.
Quant Analytics Vice President Card Data Analytics

Quant Analytics Vice President Card Data Analytics

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 19 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description

Join our Card Data & Analytics Team as a Quant Analytics Vice President and play a pivotal role in shaping the future of our credit card business. This position offers significant career growth, skill development, and the opportunity to drive impactful business decisions through advanced marketing analytics. You'll collaborate with talented colleagues and contribute to innovative solutions that enhance customer engagement and business performance. 

As the Quant Analytics Vice President withing the card data analytics, you will lead the delivery of analytics and insights to inform strategies and drive critical business decisions related to digital marketing, customer journeys, segmentation, and targeting. You will work closely with cross-functional teams, leverage data from large SQL and AWS databases, and communicate findings to stakeholders to translate insights into measurable actions. You will partner across the credit card organization to understand business needs, create solutions, and champion analytics best practices. Your leadership will support long-term data models and facilitate holistic, cross-functional learning, ensuring high data quality and reduced redundancy. 

You will have the opportunity to collaborate with analytic and non-analytic groups, influence marketing strategy and investment decisions, and drive the adoption of best practices in data and analytics. This role is ideal for an innovative leader who thrives in a dynamic environment and is passionate about leveraging data to deliver measurable business outcomes. 

Job responsibilities 

  • Establish and foster partnerships across the organization to understand marketing objectives and business requirements 

  • Lead the creation and execution of solutions to pull and combine data from multiple sources for customer behavior analytics, campaign measurement, and reporting 

  • Analyze customer journeys, digital engagement, and campaign performance to identify actionable insights 

  • Develop and implement customer segmentation and targeting strategies to optimize marketing effectiveness 

  • Communicate insights to senior leaders via written and oral presentations, influencing marketing strategy and investment decisions 

  • Collaborate with analytic and non-analytic groups to facilitate holistic, cross-functional learning 

  • Champion data and analytics best practices across the marketing organization 

  • Translate business needs into data models supporting long-term marketing solutions 

    • Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy 

    Required qualifications, capabilities, and skills 

    • Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related fields) 

    • 6+ years of industry experience in marketing analytics roles (e.g., digital analytics, campaign measurement, customer insights) 

    • 6+ years of work experience across a broad range of analytics platforms, languages, and tools (Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot, etc.); hands-on experience using big data platforms required 

    • Strong communication skills with the ability to convey complex information in an understandable, compelling, and persuasive manner to business partners 

    • Innovative thinking capability to help internal clients define marketing problems, create solutions, and execute implementation 

    • Expert knowledge in quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics 

    Preferred qualifications, capabilities, and skills 

    • Financial services experience, especially in credit card marketing analytics 

     
     

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 our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

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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