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Manager Data Analytics Engineer Jobs in Reading, PA

Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to ... Manage multiple tasks while supporting 1-3 simultaneous projects and meeting deadlines. Other ...

This role requires strong business judgment, technical analytical skills, and the ability to ... • Manage multiple tasks while supporting 1-3 simultaneous projects and meeting deadlines. • ...

Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to ... Manage multiple tasks while supporting 1-3 simultaneous projects and meeting deadlines. Other ...

Data Architect-Hybrid

Reading, PA · On-site

$55 - $60/hr

... intelligence, analytics, and AI initiatives. * Lead the design and implementation of data ... Partner with business stakeholders, product managers, architects, and engineering teams to ...

... analyze data and identify any data discrepancies and performance bottlenecks. • Leverage ... management • Knowledge of appropriate BI design frameworks and patterns and experience in ...

Understand and analyze data and identify any data discrepancies and performance bottlenecks ... management Knowledge of appropriate BI design frameworks and patterns and experience in ...

Understand and analyze data and identify any data discrepancies and performance bottlenecks ... management Knowledge of appropriate BI design frameworks and patterns and experience in ...

Information/Data Architect

Reading, PA · On-site

$61.25 - $78.75/hr

Metadata management * Data quality * Business intelligence/data warehousing * Data interoperability * Analytics * Data integration and aggregation The Information Architect should be able to assist ...

Showing results 41-60

Manager Data Analytics Engineer information

See Reading, PA salary details

$42.7K

$124.6K

$170.5K

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

As of Aug 16, 2026, the average yearly pay for manager data analytics engineer in Reading, PA is $124,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $132,000.00 per year, depending on experience, location, and employer.

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.

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 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.

What are the most commonly searched types of Data Analytics Engineer jobs in Reading, PA?

The most popular types of Data Analytics Engineer jobs in Reading, PA are:

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

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

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

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

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

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

Infographic showing various Manager Data Analytics Engineer job openings in Reading, PA as of July 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $124,573 per year, or $59.9 per hour.

Full-time

Re-posted 11 days ago


Job description

Position Summary:
Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition, replacement planning, lifecycle analysis, procurement strategy, supplier performance, residual value analysis, and operational efficiency. The incumbent will be responsible for converting raw data from multiple sources into actionable business intelligence through data evaluation, ETL development, dashboarding, predictive modeling, forecasting, optimization, and process improvement analysis. This role requires strong business judgment, technical analytical skills, and the ability to translate complex data findings into practical recommendations for business stakeholders. The position will support cross-functional initiatives and collaborate with internal customers, vendors, suppliers, OEMs, and business partners.
 
This position is located at our Corporate offices in a beautiful country setting 7 miles South of Reading, PA which is a convenient commute with ample free and easy parking. The role is an in-office position where the Data Scientist is expected to be in the office full-time.
 
Major Responsibilities: 
Perform quantitative and qualitative analysis using traditional and advanced techniques, including trending, correlation, forecasting, optimization, clustering, and what-if analysis, to support Procurement, Fleet Planning, field, and leadership teams.
Analyze vehicle, supplier, cost, market, maintenance, telematics, resale, and operational data to identify planning opportunities, cost savings, and process improvements.
Identify data sources, extract and combine data from internal and external systems, and cleanse, validate, and organize data for analysis.
Build and maintain ETL processes, analytical datasets, reporting tables, and repeatable workflows to improve data reliability and efficiency.
Design, test, validate, and refine predictive, forecasting, optimization, and machine learning models for fleet lifecycle planning, replacement planning, procurement, residual value analysis, and operational improvement.
Build dashboards, reports, visualizations, and analytical tools to communicate findings, trends, risks, and opportunities to technical and business audiences.
Partner with stakeholders to define business problems, project scope, data availability, expected outcomes, and practical analytical solutions.
Collaborate with internal teams, vendors, suppliers, OEMs, and cross-functional partners to support delivery, adoption, and rollout of models, reports, and analytics tools.
Maintain documentation, data definitions, assumptions, model logic, reporting logic, and analytical processes for reference.
Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and emerging technologies; evaluate tools for business use.
Manage multiple tasks while supporting 1-3 simultaneous projects and meeting deadlines.
Other projects and tasks as assigned.

 
 
 
 
 
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 Data science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field required.
Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research, Information Systems, or a related quantitative field preferred.
3+ years of experience in a related field required 
3-5 years of experience in Experience designing and building machine learning applications using either structured or unstructured datasets is required. 
Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic regression, decision trees, random forests and clustering is required. Knowledge and experience with SQL is preferred. 
Experience with ELT Processes, data visualization and reporting tools, including Power BI or similar platforms, required.
Experience working with vehicle, fleet, procurement, transportation, logistics, maintenance, supplier, telematics, financial, or operational data preferred.
Ability to collect, cleanse and analyze complex data and translate data insights into action 
Ability to organize and prioritize work to meet multiple deadlines 
Strong problem-solving skills, learning agility, attention to detail, and passion for logistics, fleet planning, analytics, and continuous improvement.
Effective communication skills in both oral and written form 
Regular, predictable, full attendance is an essential function of the job 
Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required 

Physical Requirements: 
-The physical and mental 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 will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. 
-While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally 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 the ability to adjust focus. 

Penske is an Equal Opportunity Employer.