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Manager Data Analytics Engineer Jobs in Philadelphia, PA

It also offers outsourcing, consulting, recruitment, career transition, and vendor management ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company - owning analytics engagements end-to-end, contributing to team ...

SAP NS2 Data and Analytics Engineer

Newtown Square, PA · On-site

$109K - $131K/yr

All internals must have manager's approval to transfer. SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing ...

SAP NS2 Data and Analytics Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

All internals must have manager's approval to transfer. SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing ...

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company - owning analytics engagements end-to-end, contributing to team ...

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company -- owning analytics engagements end-to-end, contributing to team ...

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

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Showing results 1-20

Manager Data Analytics Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

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

As of Jul 28, 2026, the average yearly pay for manager data analytics engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 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 Philadelphia, PA? The most popular types of Data Analytics Engineer jobs in Philadelphia, PA are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Philadelphia, PA? For Manager Data Analytics Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Philadelphia, PA look for? The top searched job categories for Manager Data Analytics Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Manager Data Analytics Engineer jobs? Cities near Philadelphia, PA with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics & Reporting

Silvi Concrete Products, Inc.

Fairless Hills, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Manager – Data Analytics & Reporting

Location: Fairless Hills, PA (Fully Onsite) 

Industry-Leading Benefits: Medical, Prescription, Dental, Vision, 401K, Pension, Short- and Long-Term Disability, Life Insurance, Tuition Reimbursement.

Silvi Materials has been expanding our “A” Team of employees since 1947! Our team has grown to 15+ companies, employing over 850 people across 30+ locations in Southeastern Pennsylvania, New Jersey, and North Carolina. Silvi is large enough to provide the stability you need, but small enough that you can feel your individual contribution to our success. We value the fresh ideas and perspectives of each new member of our team.

What does Silvi Materials offer you, you may ask?
Phenomenal Benefits: Medical, Vision, Dental, Prescription, Vacation, Paid Holidays, and so much more!
Your future in mind: With 401(k) (at select locations) and/or pension options. We want all employees to build a great retirement!
Growth at Silvi Materials: We offer each employee the opportunity to move into any facet of our complex business. And our tuition reimbursement program is the perfect springboard to help you get there!

So, what does a Manager – Data Analytics & Reporting do?

The Manager – Data Analytics & Reporting leads the organization’s data analysis, reporting, and business intelligence functions to enhance visibility into business results and inform decision making. This role is responsible for delivering data-focused insights, developing scalable reporting solutions, and translating complex data into actionable information for senior leadership.This individual partners across all business functions to align reporting capabilities with evolving business needs, ensuring data-driven insights support operational performance, strategic initiatives, and continuous improvement efforts.

Key Responsibilities

Data Analytics & Reporting Leadership:
Lead and develop the data analytics and reporting function, including mentorship and support of analysts and reporting resources. Set priorities, manage workloads, and oversee the intake and delivery of reporting and analytics requests to ensure high-quality outputs aligned with business goals.  Lead the mining, modeling, and transformation of enterprise data.  Establish and maintain scalable data pipelines across systems.  Develop structured data models for operational and financial reporting.  Identify automation and advanced analytics opportunities.

Data Strategy & Management:

    • Ensure the accuracy, consistency, and reliability of data used in reporting by establishing effective data quality governance, standards, and processes.
    • Define and drive data management strategy, standards, and best practices to support scalable and reliable reporting.
    • Ensure data architecture, processes, and tools are aligned with business needs and performance expectations.
    • Continuously enhance data capabilities, identifying opportunities to leverage automation and advanced analytics to improve efficiency and insight generation. 
    • Oversee master data alignment across ERP, dispatch, CRM, and operational systems.

Cross-Functional Collaboration & Project Support:

  • Partner with business leaders to analyze, define, and prioritize reporting needs and design new or enhanced reporting functionality to ensure alignment with current and evolving business processes and requirements.
  • Support compliance, system implementation, and data transformation initiatives, ensuring reporting remains aligned with system changes, integrations, and evolving organizational needs.

Data Visualization & Communication:

  • Develop clear, concise, and impactful dashboards, scorecards, and executive-level reporting packages.
  • Present insights in a way that enables informed, data-driven decision making across all levels of the organization.
  • Establish and maintain key performance indicators (KPIs) and metrics to monitor business performance.
  • Provide ongoing reporting and analysis to track progress against organizational goals.

Qualifications & Experience

  • Education:
    Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field is required. Master’s degree (MBA, MIS) preferred.
  • Experience:
    5+ years of experience in data analytics, reporting, or business intelligence roles, with demonstrated experience delivering insights to senior leadership. Prior leadership or team management experience preferred.  3+ years in a supervisory, managerial, or technical leadership role, preferred.
  • Technical Proficiency:
    Strong experience with SQL, Python, Excel, and data visualization tools (e.g., Power BI). Experience building dashboards, reports, and automated reporting solutions is required.
  • Analytical Skills:
    Proven ability to analyze large datasets, identify trends, and translate findings into actionable business recommendations.
  • Business & Reporting Acumen:
    Experience developing KPI frameworks and delivering reporting that supports operational and strategic decision making.
  • Communication Skills:
    Strong ability to present complex data clearly and effectively to senior leadership and cross-functional teams.

Additional Qualifications:

  • Experience with ERP, CRM, or enterprise systems is a plus
  • Expertise with Databricks, Snowflake, C60 or similar data and analytics platforms is highly preferred
  • Experience with development through Microsoft Fabric is preferred.
  • Familiarity with data governance, compliance, and reporting best practices
  • Experience supporting system implementations or reporting enhancements
  • Strong attention to detail and ability to manage multiple priorities

Physical Demands

In a typical work setting, people in this job:

  • Use hands/fingers to type and move office objects
  • Sit for long periods of time
  • Hear sounds and recognize the difference between them
  • See details of objects that are less than a few feet away and far distances
  • See differences between colors, shades, and brightness
  • Lift 20 pounds on occasion
  • Kneel, stoop, crouch, bend, stretch, twist, or crawl on occasion

Silvi Materials does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.