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Senior Analytics Developer Jobs in Springfield, PA

ShiftCode Analytics

Sr. Data Modeler

Philadelphia, PA · On-site

This role works closely with all development resources including Business Systems Analysts, Developers and Project Managers. * The Senior Data Modeler works independently with minimal guidance and ...

Penn Mutual

Senior Data Engineer

Philadelphia, PA

$130K - $150K/yr

As a senior individual contributor, the Senior Data Engineer partners closely with architecture, analytics, data governance, and application teams to translate business and analytical needs into ...

Soni Resources

Sr. SOC Analyst

Conshohocken, PA · On-site

$150K/yr

Senior SOC Analyst We're looking for a highly experienced Senior SOC Analyst to lead triage and ... Strong experience with SIEM tools, detection engineering, and rule creation * Background in ...

JPC Partners

Senior Developer

Philadelphia, PA · On-site

$55 - $72.50/hr

JPC Partners is looking for a Senior Developer that will play a crucial role in streamlining ... Collaborate with developers, process management analysts and IT on projects * Write clean and ...

JPC Partners

Senior Developer

Philadelphia, PA

$55 - $72.50/hr

JPC Partners is looking for a Senior Developer that will play a crucial role in streamlining ... Collaborate with developers, process management analysts and IT on projects * Write clean and ...

Vanguard

Senior Analyst, Specialist

Malvern, PA

$86K - $114K/yr

The Self-Directed Marketing Analytics team is seeking a Senior Analyst to deliver data-driven ... Analytics, Data Science and Data Engineering stakeholders to translate business questions into ...

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Senior Analytics Developer information

See Springfield, PA salary details

$14

$58

$82

How much do senior analytics developer jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for senior analytics developer in Springfield, PA is $58.23, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $65.29 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

Senior Analytics Developers typically do not earn $1,000,000 annually; such high salaries are rare and usually found in executive roles, successful entrepreneurs, or highly specialized fields like investment banking, hedge fund management, or tech company founders. In some cases, top-tier executives or business owners can reach or exceed this income level through equity, bonuses, or profit sharing. Most professionals in analytics roles earn significantly less, with high earners often combining multiple income sources or holding leadership positions with substantial compensation packages.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director, Chief Data Officer, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in machine learning, statistical analysis, and experience with tools like Python, R, or SQL, along with leadership responsibilities.

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

AspectSenior Analytics DeveloperData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often certifications in SQL, Python, or TableauBachelor's degree in Statistics, Mathematics, or related field; certifications in Excel, SQL, or data visualization tools
Work EnvironmentDevelops complex analytics solutions, works with data engineering teams, and builds dashboardsAnalyzes data sets, prepares reports, and visualizes data for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms for advanced analytics projectsCommon across various industries for business reporting and decision-making

In summary, a Senior Analytics Developer focuses on creating advanced analytics solutions and dashboards, often requiring programming skills and technical expertise. A Data Analyst primarily interprets data, prepares reports, and visualizes insights for business teams. While both roles work with data, the Senior Analytics Developer typically handles more complex technical tasks.

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

To thrive as a Senior Analytics Developer, you need expertise in data analysis, programming (such as Python or SQL), and a strong understanding of statistical methodologies, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with advanced analytics platforms (like Tableau or Power BI), big data tools (such as Hadoop or Spark), and relevant certifications (e.g., Microsoft Certified Data Analyst) is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable business solutions. These skills and qualifications are crucial for delivering high-impact analytics projects that drive decision-making and business growth.

How does a Senior Analytics Developer typically collaborate with other teams during a data project?

Senior Analytics Developers frequently collaborate with cross-functional teams such as data engineers, business analysts, and product managers. They work closely with data engineers to ensure data pipelines are robust and with business stakeholders to translate complex analytics findings into actionable insights. Regular meetings and agile ceremonies are common to align on project goals, troubleshoot challenges, and refine deliverables. This collaborative environment ensures analytics solutions are both technically sound and aligned with business priorities.

Is 40 too late for data science?

Age is not a barrier to becoming a senior analytics developer or entering data science. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

What jobs pay 200,000 a year in the USA?

Senior Analytics Developers with extensive experience, advanced skills in data modeling, programming languages like Python or SQL, and certifications such as Certified Analytics Professional can reach or exceed a $200,000 annual salary. High-paying roles often require leadership responsibilities, working with large datasets, and proficiency in analytics tools like Tableau or Power BI.

What is a Senior Analytics Developer?

A Senior Analytics Developer is a professional who designs, builds, and maintains complex data analytics solutions to help organizations make data-driven decisions. They are responsible for developing advanced data models, creating dashboards and reports, and ensuring data quality and accuracy. Typically, they work with large datasets, use programming languages like SQL or Python, and collaborate closely with data scientists, business analysts, and other stakeholders. Senior Analytics Developers also mentor junior team members and help set best practices for analytics projects. Their work is crucial in providing actionable insights that drive business strategy.
Senior 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 8 days ago

OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

106th of 139 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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