Ninja Mart is one of Ninja Van’s newest business units, operating as a startup within a scale-up. We leverage Ninja Van’s logistics network, data capabilities, and regional expertise to disrupt the FMCG distribution landscape through speed, efficiency, and innovation.
The Data Analyst plays a critical role in enabling data‐driven decision making while ensuring high standards of data quality and governance across Ninja Mart Malaysia. This role combines strong analytical and SQL capabilities with ownership of data integrity, metric consistency, and documentation.
Reporting to the Head of Operations, the analyst works closely with Operations and cross‐functional teams to translate data into actionable insights while maintaining trust in the organization’s data ecosystem.
Key Responsibilities
1. Data Analysis & Reporting
Develop, optimize, and document SQL queries and data models used in dashboards and reports.
Deliver clear, actionable insights to stakeholders across Operations, and occasionally Sales, Finance, Supply, and other functions.
Translate business questions into structured analyses and recommendations that support operational and strategic decisions.
2. Data Governance & Quality
Maintain and enforce data governance practices, including metric definitions, data validation, dataset tiering, and shared data dictionaries.
Monitor data hygiene and integrity by running checks, automating validation alerts, and escalating issues to data owners or engineers.Partner with data owners and the data engineering team to align on schema changes and ensure consistency in core metrics and reports.
Ensure a single source of truth for key dashboards and KPIs used across the organization.
Requirements
Bachelor’s degree in Data Analytics, Computer Science, Statistics, Engineering, or equivalent practical experience.
Strong SQL skills (joins, CTEs, aggregations, performance tuning).2–4 years of experience in BI, analytics, or reporting roles.
Hands‑on experience with BI tools such as Metabase, Power BI, Tableau, or Looker.
Solid understanding of data governance concepts (data quality, lineage, validation, dataset tiering).
Strong analytical thinking and data storytelling skills.
Ability to communicate clearly with both technical and non‑technical stakeholders.
Bonus: Experience with Python or data pipeline monitoring tools.
Core Competencies
Strong analytical and problem‑solving mindset
High attention to data accuracy and governance discipline
Ownership and accountability
Cross‑functional collaboration and communication
Curiosity, initiative, and continuous improvement mindset
