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Advanced Analytics Manager Jobs in Pennsylvania (NOW HIRING)

... advanced analytics, and data storytelling to deliver on client-alpha focused outcomes. Our mission ... Develops, owns and manages recurring analytic or reporting processes. * Actively develops the ...

Senior Industrial Analytics Engineer

Pittsburgh, PA · On-site

$41.50 - $56.75/hr

... advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization This role is responsible for building and managing integrated IE models that connect capacity ...

Senior Industrial Analytics Engineer

Pittsburgh, PA · On-site

$41.50 - $56.75/hr

... advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization This role is responsible for building and managing integrated IE models that connect capacity ...

Showing results 41-60

Advanced Analytics Manager information

What is the difference between Advanced Analytics Manager vs Data Scientist?

AspectAdvanced Analytics ManagerData Scientist
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related fields; often managerial experienceBachelor's or Master's in Data Science, Statistics, or related fields; sometimes PhD
Work EnvironmentLeads analytics teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in teams
Employer & Industry UsageUsed across industries for strategic insights and team leadershipCommonly employed for developing models and insights at technical levels

The Advanced Analytics Manager oversees analytics teams and strategic projects, focusing on leadership and project management. Data Scientists primarily perform technical data analysis and model development. While both roles require strong analytical skills, the manager role emphasizes leadership and coordination, whereas the Data Scientist role is more technical and hands-on.

What are the most commonly searched types of Advanced Analytics jobs in Pennsylvania?

The most popular types of Advanced Analytics jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Advanced Analytics Manager jobs?

Cities in Pennsylvania with the most Advanced Analytics Manager job openings:

Infographic showing various Advanced Analytics Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Sr Manager, Analytics & Insights

Thermo Fisher Scientific

Pittsburgh, PA • On-site

Full-time

Re-posted 19 days ago


Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 429 frontline employees who took The Breakroom Quiz

173rd of 544 rated manufacturers


Job description

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer. We are seeking a Senior Manager, Analytics & Insights to lead the strategy, development, and operation of our enterprise analytics capabilities.
This role will drive the analytics roadmap, deliver scalable data and reporting solutions, and advance a data-driven culture across the organization. The Senior Manager will partner closely with business and technology leaders while leading a global team of analytics professionals, data scientists, architects, and engineers to improve commercial performance, customer experience, supply chain operations, and strategic decision-making.
MAJOR JOB DUTIES AND RESPONSIBILITIES
  • Define and execute the enterprise analytics strategy, roadmap, and investment priorities.
  • Play a pivotal role in the modernization of Thermofisher Digital Analytics; roadmap migration to AI supported insights
  • Build scalable analytics and reporting capabilities that support customer, commercial, and operational objectives.
  • Establish a trusted, enterprise-wide data foundation that enables consistent reporting and decision-making.
  • Partner with business stakeholders to identify opportunities, solve complex problems, and deliver sustainable analytics solutions.
  • Generate actionable insights through analytics, experimentation, KPI reporting, and performance measurement.
  • Lead the design, implementation, and continuous improvement of cloud-based analytics platforms, data infrastructure, and data pipelines.
  • Establish standards for data architecture, governance, security, and analytics engineering.
  • Collaborate with product, architecture, and security teams to define requirements and prioritize initiatives.
  • Build, lead, and develop a high-performing global analytics organization of approximately 3 to 5 associates.
  • Foster a culture of innovation, continuous improvement, and data-driven decision-making.
  • Lead cross-functional analytics and data transformation programs while balancing competing business priorities.
  • Communicate analytics strategies, recommendations, and outcomes to executive leadership and key stakeholders.
  • Manage relationships with external vendors, consultants, and technology partners.

QUALIFICATIONS (Education/Training, Experience and Certifications)
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Business Analytics, or a related field; Master's degree preferred.
  • 8+ years of experience in analytics, business intelligence, data engineering, data science, or related disciplines.
  • 3+ years of leadership experience managing analytics, data engineering, or data science teams.
  • Proven success building and leading high-performing analytics organizations and enterprise-scale platforms.
  • Experience architecting, implementing, and supporting modern analytics infrastructure and cloud-based data solutions.
  • Expertise with analytics and visualization tools such as Tableau, Power BI, Google Analytics, or Adobe Analytics.
  • Experience with data warehouse technologies such as Snowflake, Teradata, Hadoop, or similar platforms.
  • Strong SQL skills and experience with Python, ETL/ELT development, and modern data integration practices.
  • Familiarity with AWS, Azure, or Google Cloud Platform; SAP and ERP integration experience preferred.
  • Experience developing AI-enabled analytics solutions, including agentic and conversational interfaces that improve access to data, insights, and decision-making across the enterprise preferred.
  • Knowledge of advanced analytics, machine learning, and predictive modeling preferred.
  • Strong communication, stakeholder management, problem-solving, and organizational leadership skills.
  • Ability to influence decision-making, manage competing priorities, and thrive in a fast-paced environment.
  • Up to 25% travel may be required.

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