Data Business Analyst
At a glance
Mid-level Data Analysis & BI role at Fuku. Kuala Lumpur · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Keep data operations reliable and maintain quality so the information supports useful analysis
- Monitor how customers use the product, then help them get started through onboarding and training
- Build dashboards and visualizations for customers and internal teams
- Understand customers’ strategic goals and turn them into practical next steps for the Product Manager
What you bring
- Two to three years using SQL and Python to transform, clean and prepare data
- You can explain data in a clear way and draw out insights with commercial implications
- Experience as a data analyst, IT business analyst or customer success professional in a data-focused product company
Who this fits
This role suits someone with a data or customer-facing analyst background who wants to work directly with customers and build toward data analytics, data consulting or product ownership. The position is based in Bangsar South, Kuala Lumpur, and is described as hybrid. You must already have the right to work in Malaysia; employment visas and relocation are not available.
From the employer
Data Business Analyst
- Location: KL Bangsar South (Hybrid)
- Company: EU Data SaaS Company
Why You Should Apply
- Work with the latest technology in a data-driven, AI-enabled European company serving enterprise customers.
- Join a collaborative team of data engineers, scientists, and analytics engineers, providing opportunities for learning and professional growth.
- Make a direct impact by engaging with end customers to understand their strategic goals and translating these into actionable steps for the Product Manager.
Key Responsibilities
- Ensure data operations and quality, recognizing that good data input leads to valuable insights.
- Track customer usage and utilization, providing support through onboarding and training.
- Develop dashboards and data visualizations for both internal and external customers.
Requirements
- 2-3 years proficiency in SQL and Python for data transformation, cleaning, and preparation.
- Strong storytelling skills, with the ability to turn data into clear, commercially actionable insights.
- Background as a Data Analyst, IT Business Analyst, or Customer Success professional from a data-driven product company.
About the Company & Team
- Clear career path into Data Analytics, Data Consultant, or Product Owner roles.
- Funded SaaS technology/product company with a niche product and a portfolio of large customers.
- Opportunity to work with global customers, with a European head office and a Malaysian engineering hub.
Note
- We cannot provide employment passes / work visas or relocation.
- If you do not have work rights in Malaysia unfortunately your CV will not be considered
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