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Analytics Implementation Engineer Jobs in Lititz, PA

Penske

Manager - Advanced Analytics

Reading, PA · On-site

... implementation of AI/ML projects. Key Responsibilities: Evangelize artificial intelligence and ... Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data ...

Penske

Manager - Advanced Analytics

Reading, PA · On-site

... the architecture and implementation of AI/ML projects. Key Responsibilities: • Evangelize ... engineers. • Work with analytics leaders, data analysts, and data scientists in various business ...

Constellation Energy

Structural Engineer

Grantville, PA · On-site

$87K - $154K/yr

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

Structural Engineer

Lancaster, PA · On-site

$87K - $154K/yr

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

Structural Engineer

Manheim, PA · On-site

$87K - $154K/yr

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

Structural Engineer

Mountville, PA · On-site

$87K - $154K/yr

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

Structural Engineer

Mount Joy, PA · On-site

$87K - $154K/yr

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

Structural Engineer

Cornwall, PA · On-site

$87K - $154K/yr

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

Structural Engineer

Middletown, PA · On-site

$87K - $154K/yr

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

Structural Engineer

Palmyra, PA · On-site

$87K - $154K/yr

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, Electrical

Brogue, PA · On-site

$87K - $154K/yr

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, Electrical

Quarryville, PA · On-site

$87K - $154K/yr

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, Electrical

Holtwood, PA · On-site

$87K - $154K/yr

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 Lititz, PA

Analytics Implementation Engineer information

See Lititz, PA salary details

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How much do analytics implementation engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for analytics implementation engineer in Lititz, PA is $47.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.62 and $56.59 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, and why are they important?

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.
Analytics Implementation Engineer jobs near you
Manager - Advanced Analytics

Manager - Advanced Analytics

Penske

Reading, PA • On-site

Full-time

Re-posted yesterday

Job description

Summary Statement:
Lead the information technology aspects of advanced analytics projects and the machine learning (ML) environment. This critical role is responsible for delivering and supporting multiple AI/ML and data science projects across the enterprise. You will assess and select technologies and tools to support advanced analytics projects, and be a member of the Data & Emerging Digital Technologies team driving execution of data and digital initiatives. Collaborate closely with business and IT stakeholders across the organization, understand industry best practices, and drive the architecture and implementation of AI/ML projects.
 
Key Responsibilities:
Evangelize artificial intelligence and machine learning across the organization to solve business problems and optimize processes.
Operationalize and support various Machine Learning models, ensuring accuracy and managing the cost of AI/ML operations.
Manage a team of machine learning engineers.
Work with analytics leaders, data analysts, and data scientists in various business groups (Marketing, Maintenance, Pricing, Finance) and IT groups (Data Engineering, Data Platform Teams, Product Managers, Cloud Engineering).
Responsible for talent management (recruiting, onboarding, career development) in the AI/ML Ops area.
 
Responsibilities:
Collaborate with stakeholder groups and partners at mid to Sr. Management level to build and execute AI/ML roadmaps.
Manage and lead enterprise-wide projects and initiatives concurrently, assigned from client group leadership and other IT departments.
Lead and manage a team of machine learning engineers and AI/ML Ops administrators to support various AI/ML projects (Predictive Analytics, Prescriptive Analytics, Computer Vision, Gen AI).
Stay updated on best practices in AI/ML, AI/ML Ops, and Model API Management to leverage them within the organization, execute on MLOps Roadmap maturity.
Ensure applications and environments are available and supported as per agreed SLAs.
Enforce best practices and compliance with AI Governance principles.
Follow IT practices in security, licensing, source code management, incident management, and architectural standards.
Delegate and assign tasks to onshore and offshore technical resources. Regularly review project requirements, deliverables, and quality with partner leadership and onsite team members.
Ensure associates lead project scope development and options analysis to recommend technical solutions meeting customer needs.
Follow the Penske Development Process (PDP) and ensure timely capture of all information for relevant metrics generation, including attending tollgates, change control, and deployment discussions.
Work with Program/Project managers to ensure project completion and implementation on time, adhering to department quality standards while ensuring effective cost management.
Identify skill gaps within teams and develop plans to bridge them.
Foster collaboration among associates and within work groups.
Use dashboards and metrics to prioritize work and ensure project milestones are met.
 
About Penske Truck Leasing/Transportation Solutions
Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.
Qualifications:
Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
3+ years of leadership experience leading machine learning engineers.
3 - 5 years of large enterprise-wide program/project management experience.
2+ years' experience with cloud platforms, preferably AWS.
Strong experience with Agile/MLOps approaches or methodologies.
Strong Technical Project Management experience.
Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services, and Cloud (preferably AWS), and experience operationalizing predictive or prescriptive models.
Working knowledge of one or more Machine Learning Platforms.
Expertise in leading the architecture, design, and implementation of AI/ML-based technical solutions.
Strong experience presenting to mid & Senior Management. Ability to explain complex AI/ML topics in simple terms to various stakeholders.
Experience working with business leadership to establish a project/program application development roadmap.
Experience working with various IT teams to build and implement a scalable architecture for relevant software solutions.
Demonstrated ability to break technical solutions into logical units and show information or data flow.
Full fluency and expert-level knowledge in systems/languages applicable to the role.
Full understanding of system development lifecycle, methodologies, and standards.
Working knowledge of Generative AI and Agentic solutions preferred.
Green Belt, Black Belt, Lean, or PMP certification preferred.

Physical Requirements
The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
The associate must regularly lift and /or move up to 25lbs/12kg. 
Specific vision abilities required by this job include Close vision, Distance vision, Peripheral vision, Depth perception and Ability to adjust focus. 
While performing the duties of this Job, the associate is regularly required to stand; walk; sit and talk or hear. The associate is frequently required to use hands to finger, handle, or feel and reach with hands and arms.

Penske is an Equal Opportunity Employer. 

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