Senior Data Analyst

Senior Data Analyst or BI Specialist (Malaysia) - Business Intelligence
Location: Malaysia (Penang Office) (hybrid).
Team: Accuris Corporate IT → Business Intelligence.
Type: Full-time, Senior Individual Contributor.
We're scaling BI across Accuris and need a senior analyst who can develop end-to-end dashboarding in Power BI & Microsoft Fabric, with working knowledge of backend data practices (Snowflake & medallion modeling). You'll turn ambiguous business questions into governed, performant, delightful analytics used by ELT and go-to-market teams every day including but not limited to Power BI (and/or Fabric, Tableau, Looker, Superset, Mode) to deliver visually outstanding, flexible dashboards backed by reusable semantic models and governance. Light Snowflake/SQL skills are expected to partner with our data engineering team.
Job Requirements
Front-end analytics & UX (heavy emphasis)

• Design and ship executive-grade dashboards with a consistent design system, themes, and layout patterns; optimize for clarity, accessibility, and mobile.
• Build reusable visual components (cards, KPI tiles, small multiples, sparklines, decomposition trees) and reusable page templates that teams can self-serve.
• Implement filter persistence and global UX (synced slicers, disconnected Period tables, calculation groups) so selections carry across all reports.
• Create custom visuals or extend visuals when needed (TypeScript/React/Vega/Vega-Lite a plus).
• Partner with Snowflake engineers to shape Gold views/tables for BI; write and perform SQL tasks
• Understand tasks, warehouses, masking/tags; ensure models are cost-aware and scalable.
• Analyze complex datasets to identify trends, patters and insights.
• Identify and troubleshoot issues related to data extraction, transformation and loading (ETL) processes
• Manage and maintain performance and availability of all dashboards real time
• Design and implement quick prototype models for dashboards
• Develop and execute test plans to ensure the accuracy and reliability of BI solutions

Preferred skills & experience

• 5-8+ years in BI/analytics; 4+ years deep Power BI (Desktop + Service) with a portfolio of high-adoption reports.
• Advanced DAX (time-intelligence, virtual tables, iterator vs filter context), Power Query (M), star schema design.
• Performance tuning: query folding, composite models, incremental refresh, aggregation tables, calculation groups.
• Security & governance, Pipelines
• Solid SQL; able to validate against Snowflake tables/views and reason about medallion architecture.
• Communication: crisp storytelling with data; able to run workshops with finance, sales, product, and execs.

Nice-to-have

• Snowflake basics (tasks, warehouses, tagging, masking policies) and cost/perf awareness.
• Azure stack: Azure AD/Entra, Key Vault, Logic Apps/Power Automate, Functions; GitHub/ADO CI/CD.
• Exposure to Salesforce/SAP data models; APIs/SharePoint integration; S3 or data lake patterns.
• Python for light data prep/quality checks.
• Experience with AI-assisted analytics (e.g., Snowflake Cortex/Analyst or Copilots) and semantic layer design.

Education & certification

• Bachelor's in CS/IS/Engineering/Math (or equivalent experience).
• Preferred: Microsoft Certified: Power BI Data Analyst Associate or equivalent

Job success Criteria

• Experience supporting a Training, Learning, Development or Talent Management team
• Knowledge Retention - In order to provide the highest quality of work, analysts must be able to learn and memorize a large amount of information.
• Detail Oriented - Analysts must be able to focus on the details in order to identify and isolate issues.
• Organizational Skills - Analysts must be organized and able to keep track of multiple projects at once.
• Flexibility - Analysts must be able to handle multiple tasks at once and follow changes in priority level.
• Speed - Must be able to work quickly and efficiently without sacrificing the quality of their work.
• Solutions Oriented - Must be able to find workable solutions for any problems they might face.
• Full Professional Proficiency in English is required
• Able to complete advanced statistical analysis is required
• Job requires analyzing information and using logic to address work-related issues and problems
• While performing the duties of this job, the employee is regularly required to:
• Call, video, email, message and communicate with dealers and co-workers

About us: Accuris, a company long-known for accelerating innovation in engineering workflows and supporting the vibrancy of the engineering community, launched in May 2023 as a standalone company. Accuris was formerly known as S&P Global's Engineering Solutions division. The Company is valued for its standards content and workflow solutions like Engineering Workbench, Goldfire, Haystack and Parts Management Solutions.
Under its previous owners, including S&P Global, IHS and IHS Markit, Accuris has been an integral part of the engineering ecosystem for more than 60 years.
About Company Statement:
Accuris delivers essential intelligence that powers decision making. We provide the world's leading organizations with the right data, connected technologies and expertise they need to move ahead. We think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. https://accuristech.com/
Our mission: To build an evolvable knowledge and data platform that enables STEM professionals to unlock and deliver innovation to the world's most complex problems.
Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.