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We are looking for a highly motivated and detail-oriented Data Analyst to join our dynamic team at AppXcess Technologies. This role is ideal for fresh graduates who are eager to turn data into meaningful insights that drive business decisions. If you’re passionate about numbers, trends, and translating data into clear, actionable strategies, we’d love to hear from you.
Key Responsibilities
Strategy
- Support data-driven decision-making by identifying trends, patterns, and anomalies through analysis.
Business
- Assist various business units by preparing customized reports and dashboards.
Processes
- Collect, clean, and validate data from multiple sources.
- Create visualizations and dashboards using Excel, Power BI, or similar tools.
People & Talent
- Collaborate closely with cross-functional teams, including marketing, product, and engineering, to understand data requirements.
Risk Management
- Ensure data integrity, quality, and consistency across projects and reports.
Governance
- Maintain proper documentation of data sources, processes, and analysis logic.
Regulatory & Business Conduct
- Adhere to AppXcess Technologies’ policies and ethical standards while handling data responsibly.
- Proactively raise and address any concerns about data privacy and security.
Key Stakeholders
- Internal Business Teams
- Data Engineering and Product Teams
- Marketing and Operations Departments
Other Responsibilities
- Stay updated with evolving data trends and tools.
- Support the team in data audits, ad-hoc reports, and internal projects.
Skills and Experience
Required:
- Strong foundation in Excel, SQL, and any one data visualization tool (Power BI, Tableau, or Google Data Studio)
- Good understanding of statistics and data interpretation
- Basic knowledge of Python or R is a plus
- Strong analytical, problem-solving, and communication skills
Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field
What We Offer
- Competitive entry-level compensation
- Project-based learning and mentorship
- Work-life balance with hybrid flexibility
- Career growth pathways into data science and business analytics
- Travel opportunities (Malaysia or Australia based on performance)
- Group insurance and meal benefits at the workplace
How To Apply:
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
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- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
