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Analytics Implementation Engineer Jobs in New Hope, PA

Universal Music Group

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... analysis. * Implement data validation, testing, and monitoring to ensure data quality and ... Bring your VIBE: * 5-8 years of experience in data engineering or related roles. * Strong ...

Dover Corporation

Manufacturing Engineer

Allentown, PA · On-site

$72K - $92K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis for complex issues using formal problem-solving tools such as A3, 8D, Fishbone, and 5Why * * Identify new technology to improve manufacturing processes * Coordinate and implement engineering ...

Dover Corporation

Manufacturing Engineer

Allentown, PA · On-site

$72K - $93K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis for complex issues using formal problem-solving tools such as A3, 8D, Fishbone, and 5Why * * Identify new technology to improve manufacturing processes * Coordinate and implement engineering ...

Dover Corporation

Manufacturing Engineer

Allentown, PA · On-site

$72K - $93K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis for complex issues using formal problem-solving tools such as A3, 8D, Fishbone, and 5Why * * Identify new technology to improve manufacturing processes * Coordinate and implement engineering ...

NFI Industries

Principal Software Engineer

Trenton, NJ · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... implementing engineering, analytics, and relationship development. • Strong written and verbal communication skills • An exceptional ability to work autonomously. • The ability to hit the ...

Ascensus

Associate Software Engineer

Dresher, PA · On-site

... • Analyze, implement, test, document and maintain new and current software applications with ... programming or scripting languages • Experience in using Generative AI tools for software ...

Constellation Energy

Engineer, Structural

Harleysville, PA · On-site

$87K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide in-depth technical expertise to develop, manage and implement engineering analysis, activities and programs. * Provide technical expertise and consultation through direct involvement to ...

Constellation Energy

Engineer, Structural

Macungie, PA · On-site

$122K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide in-depth technical expertise to develop, manage and implement engineering analysis, activities and programs. * Provide technical expertise and consultation through direct involvement to ...

Constellation Energy

Engineer, Structural

Old Zionsville, PA · On-site

$122K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide in-depth technical expertise to develop, manage and implement engineering analysis, activities and programs. * Provide technical expertise and consultation through direct involvement to ...

Constellation Energy

Engineer, Structural

Macungie, PA · On-site

$87K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide in-depth technical expertise to develop, manage and implement engineering analysis, activities and programs. * Provide technical expertise and consultation through direct involvement to ...

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All JobsAnalytics Implementation Engineer JobsAnalytics Implementation Engineer Jobs in New Hope, PA

Analytics Implementation Engineer information

See New Hope, PA salary details

$26

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How much do analytics implementation engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for analytics implementation engineer in New Hope, PA is $50.45, according to ZipRecruiter salary data. Most workers in this role earn between $37.74 and $59.90 per hour, depending on experience, location, and employer.

What is an analytics implementation engineer?

An Analytics Implementation Engineer is a professional responsible for setting up, configuring, and maintaining digital analytics tools on websites and mobile applications. They work closely with stakeholders to understand business requirements, translate them into technical tracking specifications, and ensure accurate data collection for analysis. Their role often involves deploying tags, managing tag management systems, and troubleshooting data issues. This position requires a combination of technical skills, understanding of marketing analytics, and strong problem-solving abilities.

What are the key skills and qualifications needed to thrive as an analytics implementation engineer?

To thrive as an Analytics Implementation Engineer, you need strong expertise in web analytics, JavaScript, tag management systems, and a background in computer science or a related field. Familiarity with tools like Google Tag Manager, Adobe Analytics, and certifications in analytics platforms are often expected. Attention to detail, problem-solving, and effective communication with stakeholders set top performers apart. These skills are vital for accurately collecting, interpreting, and communicating data to drive business insights and optimize digital experiences.

What is the difference between Analytics Implementation Engineer vs Data Analyst?

AspectAnalytics Implementation EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications in analytics toolsBachelor's in Statistics, Math, or related field; often similar certifications
Work EnvironmentTechnical teams, project-based, focus on system setupBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, the Analytics Implementation Engineer primarily focuses on deploying and integrating analytics tools and systems, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often overlap in skills and certifications but differ in their core responsibilities and work environments.

What are some common challenges faced by analytics implementation engineers when integrating analytics tools across multiple platforms?

Analytics Implementation Engineers often encounter challenges such as ensuring data consistency and accuracy across various digital platforms, dealing with legacy systems that may not easily support modern analytics tools, and navigating frequent updates or changes in website or app architectures. Close collaboration with development, product, and marketing teams is critical to clarify tracking requirements and maintain reliable data flows. Addressing these challenges requires a strong understanding of both the technical aspects of analytics tools and the business needs driving data collection.

What cities near New Hope, PA are hiring for Analytics Implementation Engineer jobs?

Cities near New Hope, PA with the most Analytics Implementation Engineer job openings:

Analytics Implementation Engineer jobs near you

Senior Data Engineer

Universal Music Group

Philadelphia, PA • On-site

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Universal Music Group rating

8.4

Company rating: 8.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

13th of 76 rated media

Job description

We are UMG, the Universal Music Group. We are the world's leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.
How we LEAD:
We are seeking an experienced and driven Senior Data Engineer - Enterprise Data Products within the Global Data & Analytics team.
You are passionate about building scalable, reliable, and AI-ready data platforms that power enterprise decision-making and advanced analytics. You understand that modern data platforms must not only support reporting, but also enable machine learning, generative AI, and intelligent applications through high-quality, well-governed, and semantically consistent data.
In this role, you will lead teams of data engineers responsible for building and operating domain-specific data products, semantic layers, and data marts that serve as trusted, AI-ready sources of truth across the organization, with a strong emphasis on ecommerce data products and Shopify data pipelines.
You will play a key role in shaping how data is structured, governed, and exposed to support AI/ML use cases, feature engineering, and semantic consistency across tools and applications.
How you'll CREATE:
  • Design and build scalable data pipelines and data products that support analytics and AI/ML use cases.
  • Build and scale ecommerce data products and pipelines, with particular focus on Shopify data such as orders, customers, products, transactions, fulfillment, and marketing events.
  • Develop and maintain AI-ready datasets, ensuring high quality, consistency, and usability for downstream applications.
  • Work with data scientists and analysts to support feature engineering, model training data, and experimentation needs.
  • Contribute to building and maintaining semantic layers that standardize business definitions and enable consistent reporting and analysis.
  • Implement data validation, testing, and monitoring to ensure data quality and reliability.
  • Build and optimize data models (dimensional, curated layers) aligned with business requirements.
  • Optimize data storage and query performance by leveraging columnar data structures and databases where applicable.
  • Support batch and real-time data pipelines using modern data stack tools.
  • Follow best practices for code quality, version control, and CI/CD in data engineering workflows.
  • Collaborate with product, analytics, and governance teams to ensure data is well-documented, discoverable, and trusted.
  • Troubleshoot and resolve data issues, ensuring minimal disruption to downstream users.

Bring your VIBE:
  • 5-8 years of experience in data engineering or related roles.
  • Strong experience building data pipelines, data models, and data platforms.
  • Experience working with Shopify data is strongly preferred, including Shopify orders/customers/products/fulfillment schemas
  • Proven experience handling ecommerce data at scale, including orders, carts, customers, product/catalog, inventory, fulfillment, payments, refunds/returns, promotions/discounts, subscriptions, web/app clickstream, and marketing attribution.
  • Preferred: experience handling Shopify data and ecommerce datasets, including ingesting, modeling, validating, and reconciling commerce data across platforms.
  • Familiarity with AI/ML data requirements, including preparing datasets for model training and analytics.
  • Hands-on experience working with or contributing to semantic layers (e.g., dbt, LookML, etc.).
  • Solid understanding of data warehousing, dimensional modeling, and modern data architectures.
  • Experience with cloud platforms (AWS, Azure, or GCP) and tools like Spark, Snowflake, Databricks, or similar.
  • Strong SQL skills and proficiency in Python or similar language.
  • Experience working with columnar databases or columnar storage formats (e.g., BigQuery, Redshift, Snowflake, Parquet) and optimizing query performance.
  • Experience implementing data quality checks and monitoring.
  • Ability to work cross-functionally and translate requirements into technical solutions.
  • Preferred candidate location: Philadelphia, PA (Philly).

Perks Playlist:
Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren't just values-they're how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):
  • Comprehensive medical, dental, and vision coverage
  • Including 100% coverage for out-patient in-network mental health services
  • Fertility coverage for eligible medical plan participants
  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
  • Student Loan Repayment Assistance and Tuition Reimbursement
  • 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution

A variety of ways to prioritize much-needed time away from work including:
  • Flexible Paid Time Off (PTO) for exempt employees
  • 3-weeks PTO for non-exempt employees
  • 2-weeks paid Winter Break
  • 10 Company Holidays (including Juneteenth and Wellbeing Day)
  • Summer Fridays (between Memorial Day and Labor Day)
  • Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.
Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.
Universal Music Group is an Equal Opportunity Employer
We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah.
Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM-OPT.
For more information, please click on the following links.
E-Verify Participation Poster: English / Spanish
E-Verify Right to Work Poster: English | Spanish
Job Category:
Data, Analytics & Business Intelligence
Salary Range:
$68,100 - $179,000
The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.

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