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Senior Analytics Engineer Dbt Jobs in Delaware (NOW HIRING)

Senior Programmer Analyst

Millsboro, DE · On-site

$39 - $52.75/hr

Primary Purpose The Senior Programmer Analyst will design and implement complex Projects. The position will be able to develop realistic timelines. This position will have expert analytical skills.

The Senior Manager, AI & Analytics owns the Accounting & Finance Systems Reporting, Data & AI ... Working knowledge of generative AI, intelligent automation, prompt engineering, and responsible AI ...

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Senior Analytics Engineer Dbt information

What is a senior analytics engineer dbt?

A Senior Analytics Engineer Dbt is a data professional who specializes in building and maintaining robust data transformation workflows using dbt (data build tool). They bridge the gap between data engineering and analytics by developing, testing, and documenting data models that make raw data usable for business insights. Senior Analytics Engineers often mentor junior team members, enforce best practices in data modeling, and ensure data quality and consistency across the organization. They work closely with data analysts, data scientists, and business stakeholders to deliver reliable analytics solutions.

How does a senior analytics engineer dbt typically collaborate with data analysts and data engineers within a team?

As a Senior Analytics Engineer specializing in dbt, you act as a bridge between raw data pipelines maintained by data engineers and the business insights required by data analysts. You’ll work closely with data engineers to ensure data is modeled and transformed efficiently, maintaining data quality and consistency. At the same time, you partner with analysts to understand their needs, creating reusable dbt models and documentation to make data more accessible and actionable. Regular communication and cross-functional meetings are common to align on priorities, troubleshoot data issues, and continuously improve data workflows.

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

To thrive as a Senior Analytics Engineer (dbt), you need advanced SQL skills, data modeling expertise, and experience with cloud data warehouses, usually supported by a degree in computer science or a related field. Proficiency with dbt (data build tool), version control systems like Git, and analytics platforms such as Snowflake or BigQuery is essential. Strong problem-solving abilities, effective communication, and project management skills help you translate complex business requirements into scalable data solutions. These competencies ensure robust, reliable data pipelines and actionable insights that drive business decision-making.

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

AspectSenior Analytics Engineer DbtData Engineer
Primary FocusData modeling, transformation, and analytics using dbtBuilding data pipelines, infrastructure, and data storage solutions
Skills & CertificationsSQL, dbt, data modeling, analytics toolsSQL, Python, ETL tools, cloud platforms
Work EnvironmentAnalytics teams, BI, data scienceData engineering teams, infrastructure, backend systems
Industry UsageFinance, marketing, e-commerce, techAll industries with large data needs

While both roles work with data, a Senior Analytics Engineer Dbt primarily focuses on transforming data for analysis and reporting using dbt, whereas a Data Engineer builds the pipelines and infrastructure to collect and store data. The roles often collaborate but serve different parts of the data ecosystem.

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

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

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

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

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

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

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

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

Infographic showing various Senior Analytics Engineer Dbt job openings in Delaware as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Senior Analytics Associate, Marketing Analytics

Wilmington, DE • On-site


JP Morgan Chase
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 173 rated banks

People enjoy working here

Good employer

Recommended by students


Full-time

Medical, Retirement

Posted 11 days ago


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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