About the role
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