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Senior Analytics Developer Jobs in Springfield, PA

IDEALFORCE LLC

Programmer Analyst/Sr(33935)

Philadelphia, PA · On-site

$45 - $60.75/hr

Company Description IDEALFORCE has a CONTRACT position available immediately for a Programmer Analyst/Sr to join our customer in Phoenix AZ. This is an ONSITE position. Please find below additional ...

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All JobsAnalytics Developer JobsSenior Analytics Developer JobsSenior Analytics Developer Jobs in Springfield, PA

Senior Analytics Developer information

See Springfield, PA salary details

$14

$58

$82

How much do senior analytics developer jobs pay per hour?

As of Jul 15, 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 usually found in executive roles, successful entrepreneurs, or highly specialized fields like investment banking, hedge fund management, or tech company founders. In rare cases, top-tier professionals with equity, bonuses, or profit-sharing arrangements can reach or exceed this level. Most high-paying jobs require advanced skills, extensive experience, and often ownership stakes or performance-based compensation.

What engineers make $500,000?

Senior Analytics Developers and other highly experienced data professionals can earn $500,000 or more annually, especially with advanced skills in data modeling, programming, and tools like SQL, Python, or cloud platforms. Such compensation often includes bonuses, stock options, or other incentives in competitive industries or senior roles.

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, and tools like SQL, Python, or R can reach or exceed a $200,000 annual salary, especially in high-demand industries or senior roles. Other high-paying jobs include data scientists, software engineers, and IT managers, often requiring specialized certifications and a strong professional track record.

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
Director, Data Strategy & Analytics, Retail

Director, Data Strategy & Analytics, Retail

Kepler Group

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients' agency of record, as their in-house team, or some hybrid of the two - and by harnessing data and technology across all paid digital media and data-driven CRM channels.
Kepler prides itself on being a great place to work. In fact, we're proud to share that AdAge recognized Kepler among the Best Places to Work in 2022, and Digiday named Kepler the Most Innovative Media Agency in 2025, validating our investment in our team and our clients.
  • We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face.
  • We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.
  • We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it.

The Role:
Kepler is seeking a dynamic and data-driven Director of Data Strategy & Analytics for Retail to spearhead our initiatives across a portfolio of Retail marketing clients. This role requires a leader with a deep understanding of the paid media ecosystem, exceptional data acumen, and the ability to translate complex analytics and insights into strategic opportunities. The successful candidate will lead a talented team, driving innovation and excellence in data analytics to enhance media program optimization, develop a consultative partnership with clients, and establish actionable measurement roadmaps across accounts.
The DS&A Director plays a critical role in ensuring client and company success. The position requires strong quantitative aptitude, experience with data-forward client management, business acumen to understand and advanced client marketing goals, and a desire to be part of a tightly-knit team that's out to change the industry.
Key Responsibilities:
  • Be the senior analytics and data leader for a portfolio of Retail brands, requiring hands-on client management, and exceptional communication and prioritizations skills.
  • Build and maintain day-to-day relationships with senior client stakeholders across marketing and analytics teams, and act as a point of escalation on all data and analytics matters.
  • Partner with internal and external stakeholders to determine business goals and analytics opportunities, developing comprehensive Retail-focused measurement strategies.
  • Utilize your natural curiosity and drive to innovate to advance client-specific measurement programs and create new solutions to apply across clients.
  • Translate complex analytics and data into clear, cohesive insights for senior clients, and guide your team on how to do the same.
  • Guide the evolution of Kepler's internal technology platform, Kip, establishing a feedback loop of client needs and applied learnings from new tools that set the development roadmap for our engineering team.
  • Inspire, coach, and mentor staff across multiple disciplines, and shape Kepler culture through your leadership.
  • Be the trusted expert internally. Leverage your experience and knowledge to shape the department's approach to Retail analytics and assist Kepler in driving new business growth in pitches and RFPs.

Desired Skills and Experience:
  • 6-8 years of experience of working with data for major digital media platforms (e.g. Google Marketing Platform, Meta, LinkedIn, etc.) across a variety of digital channels (Search, Display, Social, Video, and Email).
  • Experience managing and building client relationships, highlighting the role of data strategy and analytics by developing and delivering strategic solutions for clients.
  • Proven success at translating complex insights and analytics into materials for executive-level audiences.
  • Advanced proficiency in retail measurement, with 4-6+ years of experience working with data from Retail Media Networks, including Amazon Advertising, Walmart Connect, and Target Roundel to gain product and customer insights that drive program-level strategy.
  • Hands-on experience using data clean rooms for measurement and insights around customer and media efficiency; Amazon Marketing Cloud experience is preferred, but transferable experience with similar platforms, like LiveRamp, will be considered.
  • Experience with advanced analytics and modeling (e.g. forecasting, marketing mix modeling, LTV), and the design and execution of media tests including audience and geo-based incrementality experimentation.
  • Comfort with full stack of modern marketing data infrastructure (ETL tools, data storage and querying solutions), understanding the data's downstream impact on analytics and insights.
  • Demonstrated understanding of adtech's influence on targeting and measurement, with a specific focus on the use of CDPs and online-to-offline solutions
  • Appetite for learning new technologies and leveraging AI daily to drive efficiency and innovation.
  • Expertise in using data and modeling to shape audience segments and predict LTV.
  • Experience managing an internal team of 5-10+ across multiple locations, while coordinating cohesive account strategy with cross-department leadership.

Transparency is fundamental to Kepler's culture. Our compensation strategy is designed to attract, reward, and retain the talented employees that drive Kepler's growth and success. We aim to offer competitive direct compensation and a rich indirect compensation program that demonstrates the value we place on our employees and their wellbeing.
Total Compensation:
  • Base Salary: $140,000 - $160,000
  • Target Annualized Discretionary Bonus: 10% ($14,000 - $16,000)
  • Target Total Cash: $154,000 - $176,000

Benefits:
  • Healthcare/Dental/Vision
  • Unlimited PTO
  • 401k Contributions
  • $75/mo Wellness Stipend
  • $100/mo Mobile Phone Stipend
  • $50/mo Internet Stipend
  • $500/yr Annual Learning Stipend
  • $2,000/yr Annual Tuition Stipend
  • One-time $200 New Hire Home Office Equipment Stipend
  • Parental Leave - 16 week primary caregiver / 6 week secondary caregiver leave
  • Annual Work From Anywhere 4 weeks per year

Kepler is a people first organization. If this roles piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.
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