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Digital Analytics Developer Jobs in Delaware (NOW HIRING)

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Senior SAS Developer

Wilmington, DE · On-site

... use of proprietary analytics. We apply the experience gained and infrastructure built from ... digital marketing, and partnerships with third parties. Additionally, through our Auto Finance ...

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Digital Analytics Developer information

What is a Digital Analytics Developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

What are the key skills and qualifications needed to thrive as a Digital Analytics Developer, and why are they important?

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

How does a Digital Analytics Developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.
What are popular job titles related to Digital Analytics Developer jobs in Delaware? For Digital Analytics Developer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Digital Analytics Developer jobs in Delaware look for? The top searched job categories for Digital Analytics Developer jobs in Delaware are:
What cities in Delaware are hiring for Digital Analytics Developer jobs? Cities in Delaware with the most Digital Analytics Developer job openings:
Digital Analytics Developer jobs near you
Senior Analyst - Credit Analytics Credit Execution

Senior Analyst - Credit Analytics Credit Execution

OneMain Financial

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

109th of 148 rated financial services

Job description

Senior Analyst - Credit Execution
Schedule: Full-Time Hybrid
Location: Wilmington, DE
We are seeking a Senior Analyst to join our Credit Analytics Credit Execution Team to support the implementation of credit and pricing-related strategies and models for the personal loans' portfolio across affiliate and partner platforms. This role will focus on delivering high-quality work products across various credit execution and decisioning operations engagements, collaborating closely with Data science, Analytics, Product, and Technology partners. You will work across platforms such as Credit Karma LightBox, Experian Activate, and other affiliate engagement channels, as well as backend decisioning platform integrations, to drive business impact through disciplined technical execution.
In the Role
  • Implement credit and pricing-related strategies into production-ready logic for personal loan origination workflows across affiliate platforms and backend decisioning systems.
  • Own end-to-end delivery, with minimum supervision, of strategy and model deployments, from requirements intake and technical specification through testing, validation, and production release.
  • Serve as the execution point of contact for affiliate platform integrations, developing and maintaining platform-specific configurations, eligibility logic, and offer presentation workflows.
  • Build and maintain Python-based scripts, data pipelines, and automation tools to support batch file generation, data extraction, eligibility processing, and reporting workflows.
  • Write and optimize SQL queries for data analysis, strategy validation, and portfolio performance monitoring across large-scale datasets.
  • Design and execute test-and-control frameworks (e.g., A/B split designs, eligibility segmentation) for new strategy rollouts and affiliate integrations.
  • Monitor deployed models and strategies and affiliate channel performance against expected benchmarks and recommend data-driven optimizations.
  • Prepare and deliver high-quality documentation, executive summaries, and evaluation materials for leadership review.
  • Proactively identify process improvement opportunities across the credit execution lifecycle and propose solutions backed by data.

Required
  • Bachelor's degree in computer science, engineering, or related quantitative field (Master's degree preferred) and 4+ years in financial services with experience in credit risk, lending operations, or decisioning.
  • Strong Python programming expertise, including proficiency with core data structures, object-oriented programming principles, and standard libraries (pandas, NumPy, requests).
  • Proficiency in SQL and experience working with large datasets (Snowflake, SQL Server, or equivalent).
  • Solid understanding of modern system architecture concepts (microservices, APIs, event-driven design).
  • Familiarity with containerization concepts (Docker, Kubernetes) and CI/CD pipelines.
  • Understanding of version control (Git) and modern software development practices.
  • Demonstrated ability to work independently with minimal oversight and drive initiatives through ambiguity.
  • Strong written and verbal communication skills with the ability to influence stakeholders and clearly articulate opportunities, trade-offs, and recommendations.

Preferred
  • Experience in credit decisioning or personal loan origination workflows within the financial services domain.
  • Familiarity with Credit Bureau data formats, basic statistics, and experience with data wrangling & visualization.
  • Exposure to LLM/AI tooling for process automation, documentation generation, or code assistance within a professional context, but not reliant upon LLM/AI.
  • Hands-on experience with Jira-based workflows, sprint capacity planning, and Agile delivery practices.

Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Paid time off (15 days' vacation per year, plus 2 personal days)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (11 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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