Data Analytics & AI Insights Architect

Techstreet Malaysia; Kuching; On-site; MYR 90,000 - 150,000; Full time

Job summary

Techstreet Malaysia is seeking a data analytics professional to analyse and validate data, develop reports and dashboards, and support AI governance initiatives. You will work with IT and business stakeholders to deliver data-driven insights for strategic decisions.

The role requires strong analytical skills, proficiency in SQL/Python/Power BI, and the ability to communicate complex insights to both technical and non-technical audiences. Collaboration with cross-functional teams is essential.

Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field from a recognised institution.
• Master’s degree holder in a relevant discipline can be considered.
• At least three years of relevant experience in data insights, dashboard development, data extraction, data modelling, statistical analysis, data validation, or data governance.

Responsibilities

• Analyse and validate data, create reports and dashboards, perform trend analysis.
• Support ETL processes for analytics initiatives.
• Develop interactive dashboards and visualisations using BI tools.
• Collaborate with business units to deliver data-driven solutions.
• Conduct statistical analysis and forecast trends for strategic decisions.
• Investigate data issues to ensure accuracy and integrity.
• Support AI governance and roadmaps across the organization.
• Prepare management reports as needed.

Skills

Analytical skills

Interpersonal skills

Communication

Agi lity in high-performance enviro

Education

Bachelor’s degree in Computer Science / IT / related field

Master’s degree in a relevant discipline

Tools

SQL

Python

Power BI

Job description

Techstreet Malaysia is seeking a data analytics professional to analyse and validate data, develop reports and dashboards, and support AI governance initiatives. You will work with IT and business stakeholders to deliver data-driven insights for strategic decisions.

The role requires strong analytical skills, proficiency in SQL/Python/Power BI, and the ability to communicate complex insights to both technical and non-technical audiences. Collaboration with cross-functional teams is essential.