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Thermo Fisher Scientific

Sr Manager, Analytics & Insights

  • Office
  • 6+ years

Salary

$130,000/ year

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Description

The role leads the strategy, build-out and daily running of the company's enterprise analytics capabilities.

You will set the analytics roadmap, deliver scalable data and reporting solutions, and help the wider organization make decisions based on data.

You will work with business and technology leaders and manage a global team of analysts, data scientists, architects and engineers.

The work aims to improve commercial results, customer experience, supply chain operations and strategic planning.

Responsibilities

  • Set the enterprise analytics strategy, roadmap and investment priorities.
  • Lead the modernization of the company's digital analytics, including the move toward AI-supported insights.
  • Build scalable analytics and reporting that serve customer, commercial and operational goals.
  • Create a dependable company-wide data foundation so reporting and decisions stay consistent.
  • Work with business stakeholders to find opportunities, solve hard problems and deliver analytics solutions that last.
  • Produce useful insights through analysis, experiments, KPI reporting and performance measurement.
  • Lead the design, rollout and ongoing improvement of cloud analytics platforms, data infrastructure and pipelines.
  • Set standards for data architecture, governance, security and analytics engineering.
  • Work with product, architecture and security teams to define requirements and rank initiatives.
  • Build, lead and grow a global analytics team of approximately 3 to 5 associates.
  • Encourage innovation, continuous improvement and data-led decisions.
  • Run cross-functional analytics and data transformation programs while balancing competing priorities.
  • Present analytics strategy, recommendations and results to executive leadership and key stakeholders.
  • Manage relationships with external vendors, consultants and technology partners.

Requirements

  • A bachelor's degree in computer science, engineering, information systems, business analytics or a related field.
  • At least 8 years of experience in analytics, business intelligence, data engineering, data science or related areas.
  • At least 3 years of leading analytics, data engineering or data science teams.
  • A track record of building and leading high-performing analytics teams and enterprise-scale platforms.
  • Experience designing, implementing and supporting modern analytics infrastructure and cloud data solutions.
  • Experience with analytics and visualization tools such as Tableau, Power BI, Google Analytics or Adobe Analytics.
  • Experience with data warehouses such as Snowflake, Teradata, Hadoop or similar platforms.
  • Strong SQL skills, plus experience with Python, ETL/ELT development and modern data integration practices.
  • Familiarity with AWS, Azure or Google Cloud Platform.
  • Strong communication, stakeholder management, problem-solving and leadership skills.
  • Ability to influence decisions, manage competing priorities and work well in a fast-moving environment.
  • Preferred: a Master's degree.
  • Preferred: SAP or ERP integration experience.
  • Preferred: experience building AI-enabled analytics, including agentic and conversational interfaces that make data and insights easier to reach across the enterprise.
  • Preferred: knowledge of advanced analytics, machine learning and predictive modeling.

Conditions

Standard Monday to Friday schedule in an office setting.

Salary range estimated for this California-based role: $130,000.00 to $165,000.00.

The role may be eligible for a variable annual bonus based on company, team and/or individual performance, in line with company policy.

Up to 25% travel may be required.

The benefits below apply to U.S. employees.

Benefits

  • A choice of national medical and dental plans and a national vision plan, including health incentive programs.
  • Employee assistance and family support programs, plus commuter benefits and tuition reimbursement.
  • At least 120 hours of paid time off, 10 paid holidays a year, and paid parental leave of 3 weeks for bonding and 8 weeks for caregiving.
  • Accident and life insurance, plus short- and long-term disability cover, in line with company policy.
  • Retirement and savings programs, including a competitive 401(k) plan.
  • An Employee Stock Purchase Plan (ESPP) that lets eligible colleagues buy company stock at a discount.

Where you’d work

From the office

About the company

Thermo Fisher Scientific

Office in United States

Also hiring in Brno, Czechia, Eindhoven, Netherlands, Vilnius, Lithuania and 18 more places

23 of their 114 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

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7 checks

1 red flag

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • AWS
  • Google Cloud
  • Tableau
  • Azure
  • Snowflake
  • Power BI
Seniority
Senior
Type
Full-time
Specialty
Data Analyst
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Senior
Experience
8+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Google Cloud
  • Tableau
  • Azure
  • Snowflake
  • Power BI

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
$130,000 / year
Pay period
Annual

Employment

Type
Full-time

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