Business Intelligence Analyst

Work Schedule

Environmental Conditions

Job Description

Thermo Fisher Scientific Inc. is the world leader in serving science, with revenues of more than $30 billion and approximately 75,000 employees globally. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity.

Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services – we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services.​

Job Description

The individual will be a key member of a team, providing both operational and technical support. They will be highly motivated to work closely with our internal customers across various functions, primarily Finance, to address data-related inquiries, drive development initiatives and provide comprehensive end-to-end data solutions.

Job Description Details:

Responsibilities: 

• Assess, implement and monitor ongoing management of APAC Data and AutoTeam analytic strategy
• Partner with internal customers across multiple teams, answering data related queries, collecting requirements and delivering end to end data solutions
• Build and drive an efficient, user-friendly process for developing financial and operational plans, analysis and reports that links to strategic objectives
• Lead initiatives in performing data mining, transforming, loading, cleansing as well as analysis, manipulation and visualization
• Identify vital data elements and their sources, applying appropriate tools and technologies to acquire and consolidate large volumes of data from different sources
• Serve as an expert resource to develop, prototype and implement analytical and statistical models employing statistical stratification, sampling and cohort driven data modeling for client requirements designed to help clients make business decisions
• Strong skills with programming languages like Python/PHP and Databases (SQL) and visualization tools. Additional programming languages/skills are an asset

Required skills, Experience & Knowledge

·Major in Computer Science, Statistics, Economics or related majors.

·8 to 10 years of experience in Business Intelligence, Data Engineering, or Data Analytics of which minimum 6 years’ experience in supporting finance and commercial

·Proficiency in data analysis tools such as SQL, ETL concepts and BI tools

·Experience with ERP systems, data warehouses, data lake, such as SAP, Oracle, Cognos, AWS Databricks

·Experience with database and programming languages and performance optimization, Proficient in SQL, php, Python; experience & interests in other programming languages would be also preferred.

·Strong technical skills with a thorough understanding of data modeling and reporting

·Good communication skills across different functions and countries

·Strong problem solving and troubleshooting skills