Job Overview
We are seeking a highly skilled and experienced Senior Data Analyst to transform complex data into meaningful insights that drive strategic decision-making. The ideal candidate will possess strong analytical expertise, technical proficiency, and the ability to collaborate across teams to deliver impactful business outcomes.
Key Responsibilities
- Analyze large and complex datasets to uncover trends, insights, and actionable recommendations.
- Design, develop, and maintain dashboards, reports, and analytical models.
- Partner with business stakeholders to identify opportunities, risks, and performance improvement initiatives.
- Define and track key performance indicators (KPIs) to support business objectives.
- Ensure data integrity, accuracy, and adherence to governance standards.
- Lead end-to-end analytics projects, from requirement gathering to deployment.
- Support the implementation of advanced analytics solutions and data-driven strategies.
- Mentor junior analysts and provide technical guidance to the team.
Qualifications & Requirements
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Master’s degree is an added advantage.
- Experience
- Minimum 5 years of experience in data analytics, business intelligence, or a related domain.
- Proven track record of handling large datasets and delivering actionable business insights.
- Experience leading analytics initiatives and collaborating with cross-functional teams.
Technical Skills
- Strong proficiency in SQL for data extraction, transformation, and analysis.
- Advanced knowledge of Python, R, or similar analytical programming languages.
- Hands-on experience with data visualization tools such as Power BI, Tableau, or Grafana.
- Familiarity with data warehousing concepts and ETL processes.
- Experience with cloud platforms (AWS, Azure, or Google Cloud) is preferred.
Core Competencies
- Strong analytical and problem-solving skills with attention to detail.
- Ability to identify patterns, trends, and opportunities from complex datasets.
- Excellent communication and presentation skills, with the ability to translate technical findings into business insights.
- Leadership capability with experience in mentoring and guiding team members.
Preferred Qualifications
Professional certifications in analytics, data platforms, or cloud technologies.
- Experience working in enterprise environments with multiple data systems and sources.
Pay: From RM6,800.00 per month
Benefits:
- Free parking
- Health insurance
- Maternity leave
- Opportunities for promotion
- Professional development
Application Question(s):
- How many years' experience do you have as a data analyst?
- Which data analytics tools are you experienced with?
- What's your expected monthly basic salary?
- How much notice are you required to give your current employer?
Work Location: In person