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Senior Analytics Engineer Jobs in Delaware (NOW HIRING)

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Senior Analytics Engineer information

See Delaware salary details

$59.6K

$126.7K

$183.7K

How much do senior analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior analytics engineer in Delaware is $126,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $143,600.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

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

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

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

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

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

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

What cities in Delaware are hiring for Senior Analytics Engineer jobs?

Cities in Delaware with the most Senior Analytics Engineer job openings:

Infographic showing various Senior Analytics Engineer job openings in Delaware as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,666 per year, or $60.9 per hour.

Senior Analytics Associate, Marketing Analytics

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 20 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

We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone. You will join a team that values thoughtful analysis, collaboration, and clear storytelling with data. If you enjoy turning complex data into decisions, you will find meaningful opportunities to grow your career here.

As a Senior Analytics Associate, Marketing Analytics at JPMorganChase within Consumer & Community Banking on the Data & Analytics team, 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 act as a strategic partner, using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. You will work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the team.

Job responsibilities

  • Manage and analyze large, complex datasets from multiple sources to develop actionable insights that drive measurable outcomes
  • Produce accurate, timely analyses across marketing offer operational performance, trend analysis, campaign performance, and subscriber behavior
  • Communicate analytical results clearly to business partners and senior leaders, tailoring content to different audiences and technical backgrounds
  • Develop and maintain operational dashboards that support business functions and decision-making
  • Partner with cross-functional teams to assess enterprise trends, the competitive environment, and impacts on customer behavior
  • Synthesize high volumes of data into meaningful insights and recommendations that enable action
  • Support business growth targets by translating business needs into concise, insightful analytics on key trends
  • Execute responsibilities with a high degree of autonomy, independently managing workstreams, improving processes, and engaging stakeholders
  • Operate effectively in a fast-paced environment by staying organized, detail-oriented, and able to manage multiple priorities

Required qualifications, capabilities and skills

  • Bachelor's degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis experience
  • 4+ years of applied experience using SQL, Python, Alteryx, and Tableau
  • Experience preparing and integrating large, complex datasets; strong database skills; and the ability to write, optimize, and tune complex SQL queries
  • Demonstrated ability to define metrics, evaluate results, and translate findings into business insights
  • Strong critical and analytical thinking skills with high attention to detail
  • Excellent written and verbal communication skills, including the ability to distill complex findings for senior leaders and non-technical audiences
  • Experience building and maintaining reporting, dashboards, and recurring performance measurement
  • Familiarity with modern analytics platforms and data visualization tools
  • Proven ability to prioritize, problem-solve, and manage multiple deliverables in a deadline-driven environment
  • Experience designing and developing data products, including solutions that leverage artificial intelligence and large language models

Preferred qualifications, capabilities and skills

  • Advanced SQL expertise; proficiency with programming languages such as Python or R
  • Prior exposure to marketing analytics, competitive intelligence, or strategic analytics
  • Strong storytelling through data, with the ability to create clear, influential insights for stakeholder deliverables
  • Highly organized, intellectually curious, and able to prioritize multiple tasks

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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