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Data Analytics Manager Jobs in Delaware (NOW HIRING)

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

You will drive data-driven innovation to solve complex business problems, manage a team of Quant Analytics Data Analysts, and build strong partnerships across the CCB Data Analytics organization and ...

The Sales Analytics Manager partners closely with Sales Leadership, Territory Sales Managers ... This position transforms data into actionable insights that improve forecasting, identify growth ...

The Sales Analytics Manager partners closely with Sales Leadership, Territory Sales Managers ... This position transforms data into actionable insights that improve forecasting, identify growth ...

The Sales Analytics Manager partners closely with Sales Leadership, Territory Sales Managers ... This position transforms data into actionable insights that improve forecasting, identify growth ...

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Data Analytics Manager information

See Delaware salary details

$31K

$97.2K

$172.1K

How much do data analytics manager jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data analytics manager in Delaware is $97,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $125,600.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

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

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

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

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

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

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

Infographic showing various Data Analytics Manager job openings in Delaware as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

Quant Analytics Manager

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

Other

Re-posted 19 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


Job description

Job Summary

As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls organization. You will drive data-driven innovation to solve complex business problems, manage a team of Quant Analytics Data Analysts, and build strong partnerships across the CCB Data Analytics organization and other functional groups to deliver scalable, high-impact data solutions.

Key Responsibilities
  • Set the data & analytics strategy:Define and execute a roadmap that solves critical business challenges and uncovers new opportunities.
  • Lead and develop the team:Manage, coach, and grow a team of Quant Analytics Data Analysts; set priorities and uphold a culture of quality, accountability, and innovation.
  • Partner with senior stakeholders:Serve as a primary analytics point of contact for executives and cross-functional leaders, ensuring deliverables align to business needs and measurable outcomes.
  • Drive advanced analytics delivery:Provide hands-on leadership designing and delivering sophisticated analytical solutions, translating business needs into data strategies, approaches, and outputs.
  • Communicate impact clearly:Present plans, progress, and results to senior leadership with crisp narratives, actionable insights, and transparent status reporting.
  • Enable innovation and AI adoption:Stay current on analytics/AI trends; evaluate, pilot, and implement new tools and techniques (including AI agents) to improve speed, quality, and impact.
  • Optimize resources for business outcomes:Allocate capacity and resources to maximize impact and influence outcomes tied to the organization’s P&L; act as a recognized technical leader.
  • Improve processes and governance:Identify and implement enhancements to processes, tooling, and governance; communicate recommendations effectively to business leaders.
  • Uphold risk and compliance standards:Operate within defined risk parameters and compliance obligations, applying strong judgment and proactively strengthening the control environment.
Minimum Requirements
  • Education:Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related field).
  • Experience:8+ years of demonstrated experience delivering creative, high-impact data solutions.
  • AI enablement:Hands-on experience integrating AI agents to improve efficiency and effectiveness of analytics delivery.
  • Tools and programming:5+ years of advanced experience withAlteryx, Python, and Tableau.
  • Data management:Proficiency inSQLand foundational data table operations; strong problem-solving skills; demonstrated understanding of data architecture design concepts.
  • Analytical and communication skills:Curious, detail-oriented, and motivated by complex analytical challenges; ability to design/evaluate metrics aligned to business goals and communicate technical concepts to varied audiences.
  • People leadership:Experience managing diverse, multi-site teams.
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