Join Thermo Fisher Scientific as a Financial Analyst to develop data management projects, prepare financial reports, and automate processes using SQL and VBA while collaborating with team members.
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
This is your chance to join a world-class team at Thermo Fisher Scientific Inc. as a Financial Analyst based in Singapore. We seek an ambitious and proven professional who can perform finance and insurance roles with accuracy. You will join an experienced team, making a strong impact. This role contributes to our mission to make the world healthier, cleaner, and safer!
Data Management & Operational Improvement- Develop projects and processes for gathering, combining, and analyzing data using SQL and VBA.
- Automate data collection and aggregation to build reporting dashboards.
- Understand data linkage and flow from ERP to other forecasting systems/databases.
- Gather business requirements to develop tools or simulation models to achieve important goals.
- Drive adoption of team initiatives through tight-knit collaboration with finance team.
- Explore the usage of Generative AI for automation and insights.
- Handle the Cost Centre database, including new cost center creation and allocation logic maintenance.
- Explain technical concepts clearly and succinctly to various collaborators.
- Analyze and synthesize data from quantitative and qualitative sources.
- Draw insights from data to build practical and scalable solutions.
- Handle and monitor the OPEX database (OPEXDB) and Headcount database.
- Assist in preparing presentation decks for Monthly/Forecast/Budget review meetings for Southeast Asia Region.
- Support the forecast cycle, including long-range planning, monthly forecast, and annual forecast.
- Provide insights on OPEX variance by collaborating with functional leaders and the accounting team.
- Understand the business and industry to drive meaningful communication with collaborators.
- Support ad-hoc simulation and analysis requests.
- Degree in Business or equivalent experience; Data Science or Statistics majors preferred.
- Minimum 3 years of related working experience.
- Expertise in SQL and VBA is required; familiarity with Python is advantageous.
- Self-starter with strong business insight, planning, and strategy skills.
- Pays close attention to detail and consistently maintains a high standard for accuracy and quality.
- Ability to thrive in a dynamic and collaborative environment.
Top Skills
Python
SQL
VBA
Similar Jobs
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
As a Staff Engineer on the Risk Platform, lead technical initiatives for risk management products, design system architecture, and mentor engineers while ensuring product reliability and scalability.
Top Skills:
CassandraDockerFlinkGradleJavaKafkaKubernetesMavenNoSQLRedisSparkSpring Boot
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
The Senior Software Engineer will design, build, and maintain high-performance systems, improve developer workflows, and mentor team members within the Production Engineering team.
Top Skills:
ArgocdGoHaproxyKafkaKubernetesNoSQLPostgresRedisRocksdbSQL
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Staff Software Engineer will work on cloud platforms to enhance system security, reliability, automate processes, and support cross-border payment solutions. Requires deep experience in distributed systems and cloud technology.
Top Skills:
ArgoAWSAzureGCPGitlabGoInfrastructure As CodeJenkinsKubernetesPython
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
