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Manager Data Analytics Engineer Jobs in Chester, PA

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Analyst

Bridgeport, PA · On-site

$70K - $85K/yr

... analytics best practices. Key Responsibilities * Develop, maintain, and optimize Power BI ... Build and manage data models following dimensional modeling best practices * Collaborate with ...

Data Engineer, Specialist

Wayne, PA · On-site

$103K - $124K/yr

The Data Engineer, Specialist is responsible for building and maintaining scalable data pipelines ... managing databases and leveraging big data technologies to support analytics and business ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Showing results 41-60

Manager Data Analytics Engineer information

See Chester, PA salary details

$42.9K

$125.1K

$171.2K

How much do manager data analytics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Chester, PA is $125,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $132,600.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Chester, PA?

For Manager Data Analytics Engineer jobs in Chester, PA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Chester, PA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Chester, PA are:

What cities near Chester, PA are hiring for Manager Data Analytics Engineer jobs?

Cities near Chester, PA with the most Manager Data Analytics Engineer job openings:

Manager, Data Strategy & Analytics, Retail

Kepler Group

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 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 growth-oriented and data-driven Manager of Data Strategy & Analytics for Retail to support 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. You'll have opportunities to build knowledge and expertise in specific solutions across analytics, measurement, and advertising technology, as well as opportunities to teach and mentor analysts and peers.

The position requires strong quantitative and communication skills, business acumen to understand and advance client marketing strategy, a technical mind to operate and leverage the latest adtech platforms, and a desire to be part of a tightly-knit team that's out to change the industry. 

Key Responsibilities:

  • Partner with clients and cross-functional internal teams to develop an actionable, data-driven narrative for your clients, grounded in client business reality and brand objectives.
  • Support your DS&A leader and work with peers cross-department to contribute to each client's Retail-focused measurement roadmap.
  • Design and execute tests to quantify the impact of marketing campaigns, leveraging advanced statistical techniques, and working with platform partners to fully utilize available technologies (A/B Testing, Brand and Conversion Lift Tests, Geo Experimentation, etc.).
  • Develop, manage, and execute against, a queue of custom analyses to uncover insights that support media optimizations and offer strategic recommendations to clients (Lifetime Value & Propensity Modeling, Creative Fatigue, Product-Level Modeling); these will often be developed in clean rooms environments
  • Utilize your natural curiosity to advance client-specific measurement programs and create new solutions to apply across clients.
  • Collaborate with your team to transform complex analytics findings into client-ready narratives.
  • Own the full data tech stack for your client teams, ensuring accurate data feeds into automated Kepler tools, our visualization platform, and your own analytics workstreams. 
  • Grow the collective knowledge of the DS&A department, presenting learnings from your accounts to rest of the team and providing feedback on department tools and Kepler's internal technology platform, Kip. 
  • Become an expert on your clients' tech stacks and how retail data assets fit together across platforms, and are leveraged for targeting and measurement.
  • Have the opportunity to manage 1 or more Analyst/Senior Analyst, and contribute to overall Kepler culture.

Desired Skills and Experience:

  • 2-4+ years of experience in Retail-oriented paid media/marketing analytics, working with data from Retail Media Networks, including Amazon Advertising, Walmart Connect, and Target Roundel.
  • 3-5+ 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).
  • Proficiency in retail measurement, developing insights from a mix of marketing and product data.
  • 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.
  • Proven success at communicating complex insights and analytics with clients, and establishing direct relationships with client stakeholders.
  • Experience with advanced analytics and modeling (e.g. forecasting, marketing mix modeling), and the design and execution of media tests (A/B, audience incrementality, matched market).
  • Comfort with modern marketing data infrastructure (ETL tools, data storage and querying solutions), understanding the data's downstream impact on analytics and insights.
  • Familiarity of adtech's influence on targeting and measurement, and specific applications for Retail marketers.
  • Appetite for learning new technologies and interest in building solutions with Kepler tools, cross-team collaboration, and AI support.
  • Experience managing a team of 2+ direct reports.
  • Excellent listening, written and verbal communication skills.
  • Effective time management skills - ability to prioritize and meet deadlines.

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: $90,000 - $110,000
  • Target Annualized Discretionary Bonus: 5% ($4,500 - $5,500)
  • Target Total Cash: $94,500 - $115,500

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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