data analytics manager [up to rm 15k].

• Good Benefits
• Stable Organisation and Market Leader
• Career Growth

about the company

Randstad has partnered with a reputable organisation steadily growing in Malaysia and operates within the Food & Beverage industry. Your future employers understand the importance of data in this day and age, and are looking to manage data structures, pipelines and methodologies in a more effective and efficient manner.

key responsibilities:

• Team Leadership & Mentorship: Lead, coach, and scale a team of data professionals. Set clear goals, conduct performance reviews, and foster a collaborative environment that encourages continuous learning.
• Data Strategy & Architecture: Architect, deploy, and manage end-to-end data pipelines and analytics solutions, primarily utilizing Microsoft Fabric to unify our data estate.
• Technical Execution: Write, review, and optimize complex SQL and Python code for data extraction, transformation, modeling, and analysis.
• Stakeholder Management: Partner with cross-functional leaders (Marketing, Finance, Product, Operations) to understand business needs, define KPIs, and deliver dashboards and reporting solutions that drive decision-making.
• Data Governance & Quality: Establish and enforce best practices around data governance, data quality, security, and compliance.
• Project Management: Oversee the lifecycle of multiple concurrent data projects, ensuring on-time delivery from requirements gathering to production deployment.

requirements:

• Experience: 6+ years of progressive experience in data analytics, data engineering, or business intelligence, with a proven track record of delivering measurable business impact.
• Leadership: Minimum of 2+ years of direct people management experience, with demonstrated success in hiring, developing, and retaining technical talent.
• Extensive, hands-on experience implementing and managing Microsoft Fabric workloads (e.g., OneLake, Data Factory, Synapse Data Engineering).
• Expert-level proficiency in SQL for complex querying, database management, and performance tuning.
• Strong programming skills in Python for data manipulation, automation, and advanced analytics (e.g., Pandas, NumPy).
• Business Acumen: Strong ability to translate complex technical concepts to non-technical stakeholders and align data strategy with overarching business goals.

nice to haves:

• Experience with Snowflake or Azure Synapse Analytics.
• Familiarity with other modern cloud data warehouses and ecosystems (e.g., AWS Redshift, Google BigQuery, Databricks).
• Advanced knowledge of data visualization tools (e.g., Power BI, Tableau, Looker).
• Understanding of machine learning concepts and how to operationalize predictive models.

how to apply

Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.

Sundar Ravindran | Randstad