Senior Data Analyst

Involve Asia; Kuala Lumpur; On-site; MYR 90,000 - 120,000; Full time

Job summary

A dynamic data-driven company in Kuala Lumpur is seeking a Senior Data Analyst to drive data-informed decision-making. You will lead complex analytics projects, utilize SQL and Python, and mentor junior analysts. This role offers competitive compensation, growth opportunities, and the chance to work on high-impact projects within a collaborative team environment.

Benefits

Competitive compensation

Mentorship opportunities

Collaborative environment

Qualifications

• 5–7+ years of experience in data analytics, business intelligence, or related field.
• Experience in a fast-paced technology or product-driven company preferred.
• Strong experience with large-scale datasets and data warehouses.

Responsibilities

• Lead the full lifecycle of analytics projects.
• Design, implement, and maintain scalable analytics processes.
• Communicate complex analytical findings clearly to various audiences.

Skills

SQL

Python

Data analysis

Business intelligence

Communication

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics

Master's degree (a plus)

Tools

Looker

Tableau

Power BI

Snowflake

BigQuery

Job description

About the Role:

We are seeking a highly skilled and motivated Senior Data Analyst to join our Data Team. As a senior member, you will play a critical role in driving data-informed decision-making across the organization. You will take end-to-end ownership of complex analytics projects, partner with stakeholders to define and deliver business value, and set technical direction within the team.

This role is ideal for someone who can balance hands-on analytics with strategic thinking, thrives in solving complex business problems with data, and enjoys mentoring the junior.

Key Responsibilities:

1) Data Analysis & Execution

• Lead the full lifecycle of analytics projects from scoping, data extraction, and modeling to delivering actionable insights.
• Work independently on complex business questions, breaking down problems into structured analyses and clear deliverables.
• Anticipate data issues, validate results thoroughly, and deliver high-quality outputs with minimal oversight.
• Design, implement, and maintain scalable analytics processes, dashboards, and reporting systems.

2) Technical Expertise

• Demonstrate deep knowledge of the company’s data infrastructure, tools, and business domain.
• Write clean, efficient SQL/Python code to query, transform, and analyze large-scale datasets.
• Proactively identify opportunities to improve data quality, performance, stability, and scalability.
• Research and propose new analytical methods, tools, or technologies to improve team efficiency and insight generation.

3) Business Impact

• Take end-to-end responsibility for projects that directly influence business strategy and outcomes.
• Partner with Product, Engineering, and Business teams to translate requirements into data-driven solutions.
• Identify and prioritize high-impact problems, ensuring insights are actionable and tied to measurable business value.
• Influence decision-making at the project and service level, ensuring alignment with company goals.

4) Communication & Leadership

• Communicate complex analytical findings clearly to both technical and non-technical audiences.
• Author and present design documents, dashboards, and reports to drive clarity and alignment.
• Provide feedback and guidance to peers; mentor junior analysts to raise team standards.
• Collaborate across teams, facilitating discussions and reaching consensus on technical and business trade-offss
• Set short-term strategic direction for analytics initiatives and contribute to longer-term data strategy.

Qualifications:

Education :

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field ( a master's degree is a plus)

Experience :

• 5–7+ years of experience in data analytics, business intelligence, or a related field. Experience in a fast-paced technology or product-driven company is preferred.

Technical Skills :

• Advanced proficiency in SQL and Python for data analysis.
• Strong experience with BI tools (e.g., Looker, Tableau, Power BI).
• Hands-on experience with large-scale datasets and data warehouses (e.g., Snowflake, BigQuery, Redshift, Athena, Datalake).
• Solid understanding of statistical methods, experimentation (A/B testing), and causal inference.

Soft Skills :

• Strong business acumen with the ability to balance technical, analytical, and product considerations.
• Excellent problem-solving skills, able to break down complex challenges into actionable steps.
• Exceptional communication and stakeholder management abilities.
• Comfortable working independently and driving projects with minimal oversight.
  

What We Offer

• Opportunity to work on high-impact projects that shape the company’s direction.
• A collaborative environment where your expertise is valued and sought after.
• Growth opportunities, including mentorship and exposure to complex cross-functional initiatives.
• Competitive compensation and benefits package.