Business Operations & Planning Analyst

Work Schedule

Environmental Conditions

Job Description

As part of the Thermo Fisher Scientific team youll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the worlds toughest challenges like protecting the environment making sure our food is safe or helping find cures for cancer.

DESCRIPTION:
At Thermo Fisher Scientific youll support our mission to make the world healthier cleaner and safer as a Data Analyst this role youll transform complex data into actionable insights that drive strategic decision-making across the organization. Youll collaborate with cross-functional teams to develop and maintain scalable analytics solutions create intuitive visualizations and deliver critical reporting that enhances business performance. Using your expertise in data analysis and visualization tools youll identify trends opportunities and areas for optimization while ensuring data accuracy and integrity. Youll provide analytics guidance proactively recommending solutions and improvements based on your findings. This role combines technical expertise with business acumen to deliver impactful insights that support our companys continued growth and success.

Key Responsibilities

Operations Analysis & Problem Solving

• Analyze operational issues across order management inventory fulfillment and related processes

• Validate operational discussions and assumptions using data from multiple systems

• Identify gaps inconsistencies and root causes between system data and actual operations

• Support issue resolution by providing clear fact-based insights and recommendations

Planning & Performance Support

• Support planning activities (e.g. forecast review capacity inventory or performance planning) with operational data and analysis

• Track key operational and planning metrics identify risks and highlight potential impacts

• Provide analytical support for periodic business reviews and management discussions

Cross-System & Data Analysis

• Work with data from multiple systems to ensure consistency accuracy and business relevance

• Perform hands-on data extraction and validation using SQL Excel BI tools or similar methods

• Investigate data discrepancies and clarify system logic with business and IT teams

Stakeholder Collaboration

• Partner closely with operations planning finance and IT teams to understand real business needs

• Act as a bridge between business users and system/data teams by translating operational questions into analytical requirements

• Communicate insights in a clear and practical manner to both technical and non-technical stakeholders

Process Improvement & Enablement

• Identify opportunities to improve operational visibility data usage and planning effectiveness

• Support process improvement initiatives by defining metrics and measuring impact

• Contribute to standardization of data definitions reporting logic and operating assumptions

REQUIREMENTS:
Advanced Degree plus 3 years of experience or Bachelors Degree plus 5 years of experience in data analytics business intelligence or related role
Preferred Fields of Study: Data Analytics Computer Science Information Systems Business Analytics Engineering Mathematics Statistics or related quantitative field
Proficiency in SQL Power BI and advanced Excel
Strong experience with data visualization dashboard development and report automation
Experience with ETL processes and data pipeline development
Knowledge of statistical analysis and data modeling techniques
Demonstrated ability to translate complex data into clear actionable insights
Experience working with large datasets and multiple data sources
Strong project management skills and ability to manage multiple priorities
Excellent verbal and written communication skills
Ability to collaborate effectively across functions and levels
Detail-oriented with strong problem-solving skills
Experience with Python R or other programming languages preferred
Knowledge of data warehouse concepts preferred
Understanding of data governance and quality management principles
Ability to work independently and as part of a team
Strong business acumen and customer focus
Experience in manufacturing supply chain or life sciences industry preferred