
Leading company in the technology industry
Business Analyst - Supply Chain
Required skills
Excel
SQL
Power BI
Data Analysis
Statistical Analysis
Data Modelling
AI/ML
Predictive Analytics
Work Schedule
Other
Environmental Conditions
Office
Job Description
The Business Analyst plays a key role in driving data-based decision-making across the Integrated Supply Chain (ISC). This role combines business insight, analytical expertise, and digital fluency to improve efficiency, reliability, and profitability of ISC operations. Acting as a bridge between business users and analytics teams, you will transform data into actionable insights that enable more informed, quicker, and more balanced decisions across the global supply chain.
Key Responsibilities1. Business and Data Analysis
- Collect, organize, and analyse data to evaluate process efficiency, reliability, and profitability.
- Identify root causes of business and process issues, ensuring data quality and actionable insights.
- Partner with collaborators to translate business needs into clear reporting and analytics requirements.
2. Reporting and Visualization
- Design, develop, and maintain dashboards and reports that provide clear, accurate business insights.
- Ensure data visualizations align with business objectives and support operational decision-making.
- Collaborate with teams from multiple functions to harmonize performance metrics and reporting standards.
3. Business Application Ownership
- Act as Business Application Owner for assigned analytics and reporting tools within Operations.
- Ensure system availability, user support, and appropriate maintenance for analysis applications.
- Partner with IT and business teams to enhance functionality and drive continuous improvement.
4. Process Improvement and Project Leadership
- Lead or support improvement initiatives involving multiple ISC functions.
- Use data-driven insights to find opportunities for optimization, automation, and standardization.
- Drive adoption of analytics tools and foster a culture of continuous improvement.
Qualifications
- Bachelor’s or Master’s degree in Business, Supply Chain, Data Analytics, or a related field.
- 2 years of experience in business analysis, data analytics, or operations within a global supply chain.
- Strong analytical and statistical skills; proficiency with Excel, SQL, and Power BI.
- Experience working with relational databases and transforming complex data into clear insights.
- Knowledge of advanced analytics, data modelling, AI/ ML, predictive analytics and methods.
- Demonstrable skill in interpreting trends, communicating findings, and influencing decisions at all levels.
- Good communication and storytelling skills, with a focus on clarity and impact.
- Demonstrated ability to lead projects and drive continuous improvement initiatives.
- Demonstrates Thermo Fisher’s 4-I values: Integrity, Intensity, Innovation, and Involvement.
- Willingness to travel up to 25%, including internationally.
Strengths
- Data Analysis & Interpretation: Ability to analyse complex datasets to uncover insights.
- Data Visualization & Reporting: Skilled in creating impactful reports and dashboards.
- Critical Thinking & Problem Solving: Strong analytical approach with a focus on root cause identification and resolution.
- Collaboration & Communication: Builds strong partnerships across teams and communicates insights effectively.
- Continuous Improvement: Promotes efficiency, standardization, and innovation across ISC processes.
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About Thermo Fisher

Thermo Fisher
PublicThermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.
10,001+
Employees
Waltham
Headquarters
$200B
Valuation
Reviews
10 reviews
3.5
10 reviews
Work-life balance
2.8
Compensation
3.2
Culture
4.1
Career
2.9
Management
2.7
65%
Recommend to a friend
Pros
Great team culture and dynamics
Excellent benefits and health plans
Supportive management
Cons
Heavy workload and frequent overtime
Poor management and lack of direction
Limited advancement opportunities
Salary Ranges
2,095 data points
Junior/L3
Mid/L4
Junior/L3 · DATA ANALYST
1 reports
$130,000
total per year
Base
$100,000
Stock
-
Bonus
-
$130,000
$130,000
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer rate
33%
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Technical Knowledge
Culture Fit
Latest updates
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