Job Title: BI data analyst

Work Arrangement: Hybrid

Location: Penang, Malaysia

About Horizontal: Established since 2003 in the US, Horizontal solves complex challenges across two distinct businesses: Horizontal Digital and Horizontal Talent. We are consistently recognized for being a top workplace and one of the fastest growing private companies. Horizontal Talent specializes in staffing for IT, Digital & Creative and Business & Strategy markets. We have global offices in US, UAE, India, Malaysia and Australia.

Our client is the market leader in providing innovative and high-quality solutions for measuring electrical parameters. Its core products - current and voltage transducers - are used in a broad range of applications in drive & welding, renewable energies & power supplies, traction, high precision, conventional and green cars businesses. Their strategy is to exploit the intrinsic strengths of its core business, and to develop opportunities in existing and new markets with new applications. We are a mid-size, global company with approximately 1'520 employees worldwide It has production plants in Beijing (China), Geneva (Switzerland), Machida (Japan) and Sofia (Bulgaria). With its regional sales offices close to its clients locations, the company offers a seamless service around the globe. We are listed on the SIX Swiss Exchange since 1986; the company's ticker symbol is LEHN.

Key Responsibilities2. Data Quality, Reliability & Governance3. Engineering & Industrialization Practices4. Business Partnership & Collaboration5. Run, Support & Continuous ImprovementRequirements:We offer:

Analytics Product Development
Design and develop reports and dashboards as long-living products
Translate business needs into analytical user stories
Build and maintain semantic models and analytical datasets
Ensure consistency of KPIs and business logic
Deliver readable, reusable, and maintainable BI assets
Implement data quality controls (completeness, freshness, consistency)
Document indicators, calculation rules, and data lineage
Contribute to data and BI governance standards
Manage data security and access (RLS, Entra ID / security groups)
Apply software-inspired BI engineering practices (Git versioning, DEV/UAT/PROD environments, structured release and Go/No-Go processes)
Optimize performance (data modeling, DAX, query optimization)
Anticipate scalability and manage technical debt
Work closely with business stakeholders (Finance, Sales, Supply Chain, R&D, etc.)
Collaborate with Data Engineers, Data Architects, and Data Scientists
Challenge requirements to ensure business value and analytical relevance
Participate in prioritization, roadmap, and delivery rituals
Provide analytical support (incidents, anomalies, user questions)
Monitor adoption and usage of BI products
Continuously improve products based on feedback and usage analysis
Bachelor/Master Degree in Computer Science, Information Technology, Data Science, or a related field
4 to 5 years of experience in a BI / Analytics team, preferably in an industrial or complex business environment
Strong experience with SQL and relational database management systems
Knowledge of Microsoft Fabric and modern data platforms is a strong asset
Proven experience delivering production-grade BI solutions as a Power BI / Data Analyst or similar role
Strong expertise in Power BI, including advanced DAX and Power Query, with solid data modeling best practices
Solid foundations in statistics and data analysis (descriptive statistics, trend analysis, correlation, outlier detection)
Basic working knowledge of Python (e.g. pandas, numpy) for data analysis or validation use cases
Understanding of predictive or advanced analytics concepts (forecasting, segmentation, scoring), with the ability to collaborate with Data Scientists
Strong analytical mindset with excellent problem-solving skills and attention to data quality and reliability
Clear, structured, and professional communication skills with both business and technical stakeholders
Ability to work autonomously, take ownership of deliverables, and collaborate effectively within a team
Fluency in English is mandatory
A challenging position in an open, enthusiastic, and dynamic mid-cap company within an international environment,
Good working conditions,
Compensation will be based on qualifications and experience, and will include a base salary, benefits, and performance incentives.