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Data Analytics Engineer Jobs in Delaware (NOW HIRING)

Workiva

Spring 2027 Intern - Data Analytics

Milford, DE · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Delaware

Data Analytics Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do data analytics engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analytics engineer in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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 Data Analytics Engineer jobs in Delaware?

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

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

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

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.

Quant Analytics Senior Associate - Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 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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