Senior Data Analyst

Jdynamic Resources; Kuala Lumpur; On-site; MYR 90,000 - 180,000; Full time

Benefits offered by this job

13-Month Salary

Yearly Performance Bonus

Monthly Transport Allowance

Monthly Rental Subsidies

Job summary

Jdynamic Resources in Kuala Lumpur is seeking a data analytics professional to transform raw data into structured models and to build actionable dashboards using BI tools like Power BI, Tableau, and Metabase.

You will ensure data quality, collaborate with data engineers, and translate business questions into reliable analytics. The role emphasizes ownership of data definitions and governance in a fast-paced startup environment.

Qualifications

• Bachelor's degree in CS, IS, Data Analytics or related field.
• 3–6+ years of proven experience in data analysis, BI, or analytics engineering with large-scale datasets.
• Advanced SQL including joins, aggregations, window functions, and optimization; strong data modeling (star schema).
• Experience with dbt or similar transformation frameworks, ClickHouse, Python for data processing; startup environment a plus.
• Strong ownership mindset, independence, and ability to turn evolving data into a reliable analytics layer.

Responsibilities

• Transform raw data into reliable models (fact/dimension tables) as a single source of truth.
• Design and build dashboards (Power BI, Tableau, Metabase) to translate business needs into insights.
• Identify data quality issues, collaborate with Data Engineers, and implement data validation checks.
• Partner with product, operations, and management to address ambiguous business questions with structured data solutions.
• Define key metric definitions and governance practices to shape data consumption company-wide.

Skills

Advanced SQL

Data modeling

BI dashboards

Stakeholder collaboration

Education

Bachelor's Degree in Computer Science, Information Systems, Data Analytics

Tools

Power BI

Tableau

Metabase

dbt

ClickHouse

Python

Job description

Role Summary

Transform raw data into structured models and actionable dashboards to drive business decisions.

Roles & Responsibilities

• Data Transformation & Modeling: Clean, standardize, and transform raw data into reliable models (fact/dimension tables) as a single source of truth.
• Dashboard & Reporting: Design and build intuitive, performant dashboards (Power BI, Tableau, Metabase) to translate business needs into visual insights.
• Data Quality & Governance: Identify inconsistencies, collaborate with Data Engineers to resolve upstream issues, and implement data validation checks.
• Stakeholder Collaboration: Partner with product, operations, and management teams to translate ambiguous business questions into structured data solutions.
• Data Strategy & Ownership: Define key metric definitions, drive best practices for data reliability, and shape how data is structured and consumed company-wide.

Requirements

• Education: Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Experience: 3–6+ years of proven experience in data analysis, BI, or analytics engineering roles working with large-scale datasets.
• Technical Skills: Advanced SQL (joins, aggregations, window functions, optimization), strong data modeling (star schema), and BI dashboarding.
• Preferred Skills: Experience with dbt (or similar transformation frameworks), ClickHouse, basic Python for data processing, and fast-paced startup environments.
• Candidate Profile: Strong ownership mindset, highly independent, and capable of turning messy, evolving data into a structured and reliable analytics layer.

Benefits

• 13-Month Salary: Guaranteed additional month of base salary.
• Yearly Performance Bonus: Rewarded annually based on individual and company achievements.
• Monthly Transport Allowance: Financial support to cover daily commuting expenses.
• Monthly Rental Subsidies: Monthly allowance provided to support your housing and accommodation needs.

Additional information

• 13-Month Salary & Yearly Performance Bonus
• Monthly Transport Allowance
• Monthly Rental Subsidies