Data Analytics Executive: Dashboards & Insights

CEKAP LINK TECH SDN. BHD.; Kuala Lumpur; On-site; MYR 67,000 - 134,000; Full time

Job summary

CEKAP LINK TECH SDN. BHD. is seeking a data analyst to build and own analytics dashboards that reflect operational quality across key processes. You will monitor daily reporting, catch data errors, fix them, and propose concrete improvements to drive performance.

You will work across operations and other teams, handle ad-hoc requests, and develop self-serve data products while diagnosing data anomalies and documenting findings for practical solutions.

Qualifications

• Bachelor’s degree or above required.
• 1–3 years of experience in data analytics required or preferred.
• Strong hands-on data skills and ability to deliver reports and dashboards independently.
• Proficient in SQL, able to write queries and join tables.
• Experience with Tableau or Power BI and building dashboards.
• Advanced Excel skills (functions, pivot tables, data cleaning).
• Bonus: Python, R, or VBA for automation and complex analysis.
• Self-driven, curious, and rigorous in data validation.
• Strong communication to explain findings to non-technical stakeholders.

Responsibilities

• Build and own analytics dashboards to reflect operational quality across processes.
• Monitor daily reporting and KPIs, identify data errors, fix them, and propose optimisations.
• Be the go-to person when numbers look off and diagnose root causes of data anomalies.
• Partner with operations, customer service, and other teams to understand data needs.
• Handle ad-hoc analysis requests and create self-serve data products.
• Document findings, identify problems, and drive real solutions such as automation or new reports.

Skills

SQL

Tableau

Power BI

Excel

Python

R

VBA

Data analysis

Communication

Problem solving

Education

Bachelor’s degree or above

Tools

Tableau

Power BI

Job description

CEKAP LINK TECH SDN. BHD. is seeking a data analyst to build and own analytics dashboards that reflect operational quality across key processes. You will monitor daily reporting, catch data errors, fix them, and propose concrete improvements to drive performance.

You will work across operations and other teams, handle ad-hoc requests, and develop self-serve data products while diagnosing data anomalies and documenting findings for practical solutions.