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Manager Data Analytics Engineer Jobs in Delaware

JPMorgan Chase & Co.

Quant Analytics Manager

Wilmington, DE · On-site

$200 - $250/hr

Job Summary As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and ... Tools and programming: 5+ years of advanced experience withAlteryx, Python, and Tableau. * Data ...

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Manager Data Analytics Engineer information

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Delaware?

The most popular types of Data Analytics Engineer jobs in Delaware are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Delaware?

For Manager Data Analytics Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Delaware look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Delaware are:

What cities in Delaware are hiring for Manager Data Analytics Engineer jobs?

Cities in Delaware with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Quant Analytics Senior Associate - Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 22 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 175 rated banks

Job description


Job Summary
You'll join the Card Data & Analytics team, a strategic partner to the Card organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you'll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Chase Card portfolio.
As a Quantitative Analytics Senior Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will assess portfolio performance to uncover optimization opportunities and translate customer behavioral data-including spend, payment, and engagement patterns-into insights that shape marketing strategies and enhance card profitability through targeted campaigns and product innovations. You'll collaborate across marketing, product, finance, and risk to turn complex analyses into clear recommendations that influence resource allocation, campaign strategy, and portfolio management.
Job responsibilities
  • Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
  • Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
  • Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
  • Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools
  • Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
  • Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
  • Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
  • Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
  • Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Required qualifications, capabilities and skills
  • Bachelor's degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 3+ years of relevant experience, or an advanced degree with 2+ years of experience
  • Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
  • Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
  • Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
  • Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
  • Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
  • Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
  • Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
  • Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences

Preferred qualifications, capabilities and skills
  • Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
  • Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear business recommendations
  • Experience working with cross-functional partners in marketing, product, finance, and risk to deliver measurable business outcomes
  • Experience identifying and scaling process improvements that enhance data quality, repeatability, and reporting efficiency

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 our FAQs for more information about requesting an accommodation.
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.

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