Data Analyst (Data and Analytics)

gradmalaysia.com; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading analytics firm is seeking a Business Analyst to assist with gathering business requirements and supporting BI teams in developing dashboards. The role requires a Bachelor’s Degree in a relevant field and 2–4 years of experience in business analysis or data analytics. Candidates should have a solid understanding of BI tools like Power BI and possess good communication skills. This position focuses on delivering analytics solutions that meet business needs while collaborating across functions.

Qualifications

• 2–4 years of experience in business analysis, BI, data analytics, or related areas.
• Proven experience delivering enterprise dashboards and analytics solutions.
• Exposure to AI/ML projects, including business problem framing.

Responsibilities

• Assist in gathering and documenting business requirements for reporting.
• Support BI teams in developing user stories and KPI definitions.
• Conduct data analysis to identify trends for decision-making.

Skills

Understanding of the analytics lifecycle

Ability to translate business needs

Skilled with BI tools

Data literacy and analytical thinking

Good communication skills

Willingness to learn new technologies

Collaboration in a cross-functional environment

Attention to detail

Positive attitude and proactive mindset

Education

Bachelor’s Degree in Data Science or related field

Tools

Power BI

MicroStrategy

SQL

Python

Job description

Responsibilities

• Assist in gathering, documenting, and refining business requirements for reporting, dashboards, and analytics solutions.
• Support BI teams in developing user stories, KPI definitions, and dashboard layout specifications.
• Work with business users to understand operational processes and translate them into basic reporting or data needs.
• Assist in validating the accuracy and completeness of dashboards, reports, and analytics outputs.
• Conduct data analysis to identify trends, anomalies, and insights to support decision-making.
• Support data scientists by helping with requirement documentation, business understanding, and validation of AI/ML outputs.
• Participate in UAT and ensure delivered analytics solutions meet business expectations.
• Maintain documentation such as requirement logs, process notes, data dictionaries, and report inventories.
• Support trainings, demo sessions, and user onboarding activities for BI dashboards and analytics tools.
• Coordinate with data engineers to communicate business needs related to data sources or data quality issues.
• Assist in monitoring adoption and usage of BI dashboards and reports and gather feedback for improvement.
• Ensure all analytics activities comply with data governance, privacy, and organisational standards.

Required Competencies

• Solid understanding of the analytics lifecycle: reporting, dashboards, data modeling, and introduction to AI/ML concepts.
• Able to translate business needs into structured requirements with guidance.
• Skilled with BI tools (e.g. Power BI or MicroStrategy) and able to interpret visualisations.
• Demonstrates foundational data literacy and analytical thinking skills.
• Good communication and documentation skills, able to interact with stakeholders clearly.
• Willingness to learn new BI, analytics, and AI technologies and adopt industry best practices.
• Ability to work collaboratively in a cross‑functional environment.
• Strong attention to detail and commitment to producing accurate outputs.
• Positive attitude, proactive mindset, and eagerness to contribute to an insight‑driven culture.

Qualifications

• Bachelor’s Degree in Data Science, Computer Science, Statistics, Information Systems, or equivalent from accredited institutions.
• 2–4 years of experience in business analysis, BI, data analytics, or related areas.
• Proven experience delivering enterprise dashboards, complex reporting requirements, and analytics solutions.
• Exposure to AI/ML projects, including business problem framing and interpreting model outputs.
• Good understanding of SQL; familiarity with Python or analytics tools is an added advantage.
• Experience working in large enterprise, public sector, or regulated environments is preferred.