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Director Of Data Analytics Jobs in Delaware (NOW HIRING)

Director of Sales

Wilmington, DE · On-site +1

$120K - $150K/yr

Description Director of Sales About Us Truveris is a pharmacy cost containment company dedicated to ... Leverage healthcare data analytics to provide valuable insights and solutions to clients. * Utilize ...

The role will focus on ensuring the accuracy, consistency, and integrity of enterprise reference data while supporting business stakeholders through insightful analysis and reporting. Key ...

Sr Data Analyst

Wilmington, DE · Hybrid

$83K - $105K/yr

... of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven ... forecasting, leading analytics projects, advancing the firm's data innovation efforts, and applying ...

New

The position supports reporting, analytics, evaluation and performance improvement efforts across ... The duties listed are intended to provide a representative summary of the major duties and ...

New

Showing results 21-40

Director Of Data Analytics information

See Delaware salary details

$71.1K

$158.3K

$244.7K

How much do director of data analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for director of data analytics in Delaware is $158,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $180,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data analytics when aligning data initiatives with business objectives?

A Director of Data Analytics often encounters the challenge of bridging the gap between technical data solutions and the strategic goals of the business. This involves translating complex analytical insights into actionable recommendations for non-technical stakeholders, prioritizing projects that deliver the most value, and ensuring data quality and governance standards are maintained. Additionally, coordinating across departments to align on KPIs and fostering a data-driven culture can be demanding but is essential for successful outcomes. Strong communication, leadership, and a deep understanding of both data and business operations are key to overcoming these challenges.

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

To thrive as a Director of Data Analytics, you need deep expertise in data analysis, statistics, and business intelligence, typically supported by an advanced degree in a quantitative field and several years of leadership experience. Familiarity with data visualization tools (such as Tableau or Power BI), database systems (like SQL), and analytics platforms, along with certifications in data science or analytics, are highly valued. Strong leadership, strategic thinking, and communication skills distinguish top performers in this role. These competencies are crucial for driving data strategy, translating insights into business value, and leading effective analytics teams.

What is the difference between Director Of Data Analytics vs Data Analyst?

AspectDirector Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams and strategyAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageUsed in large organizations across industries for strategic oversightCommon in various industries for data interpretation and reporting

The Director Of Data Analytics typically holds a senior leadership position, focusing on strategy and team management, requiring advanced credentials. In contrast, Data Analysts perform hands-on data analysis and reporting, often with less experience. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the most commonly searched types of Of Data Analytics jobs in Delaware? The most popular types of Of Data Analytics jobs in Delaware are:
What are popular job titles related to Director Of Data Analytics jobs in Delaware? For Director Of Data Analytics jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Director Of Data Analytics jobs in Delaware look for? The top searched job categories for Director Of Data Analytics jobs in Delaware are:
What cities in Delaware are hiring for Director Of Data Analytics jobs? Cities in Delaware with the most Director Of Data Analytics job openings:
Infographic showing various Director Of Data Analytics job openings in Delaware as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $158,252 per year, or $76.1 per hour.

Data Science Vice President - Card Data Analytics

J.P. Morgan

Wilmington, DE

Full-time

Medical, Retirement

Re-posted 7 hours ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-end - translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.

Job responsibilities

  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI
  • Drive data science and analytics strategies, including recommendations on analytical products and standards
  • Help partners define business problems and scope analytical solutions
  • Build an understanding of problem domains and available data assets
  • Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
  • Perform exploratory statistics and data mining tasks on diverse datasets
  • Communicate findings and obstacles to stakeholders to drive delivery to market
  • Develop subject matter expertise in financial and operational domains
  • Code solutions using strong programming skills
  • Collaborate across teams to deliver the best solutions for clients

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
  • Exceptional analytical, quantitative, problem-solving, and communication skills
  • Intellectual curiosity for solving business problems
  • Leadership and collaboration skills
  • Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
  • Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
  • Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
  • Ability to convey complex information to technical and non-technical audiences

Preferred qualifications, capabilities and skills

  • Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency
  • Understanding of key drivers within the credit card profit and loss statement
  • Financial services background
  • Master of Science degree or equivalent

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.

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.