Extract, clean, validate, and analyze financial and operational data to identify trends, risks, and business opportunities.
Design, develop, and maintain interactive Power BI dashboards and automated reports for management review.
Analyze monthly financial performance, budgeting data, and variances to provide actionable insights.
Develop and maintain advanced Excel-based financial models, tracking sheets, and reporting tools.
Utilize Power Query and other data transformation tools to improve reporting efficiency and data accuracy.
Collaborate with department heads and stakeholders to gather reporting requirements and deliver meaningful business insights.
Monitor data quality and investigate anomalies in financial statements and operational reports.
Support business decision-making through data-driven recommendations and analysis.
Assist in automating reporting processes and improving data management practices.
Requirements
Male / Female
Age below 30 years.
Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, or a related field.
1–2 years of experience in a Data Analyst, Finance Analyst, Business Analyst, or similar role. Fresh graduates with strong academic projects or portfolios are encouraged to apply.
Hands-on experience with Power BI, including dashboard development, data modeling, data source integration, and DAX functions.
Advanced proficiency in Microsoft Excel, including Pivot Tables, XLOOKUP/VLOOKUP, Power Query, and complex formula creation.
Strong mathematical and analytical skills with the ability to identify trends, patterns, and anomalies in financial and operational data.
Knowledge of financial reporting, budgeting, and variance analysis is an added advantage.
Strong attention to detail and commitment to data accuracy.
Excellent verbal and written communication skills with the ability to present findings to non-technical stakeholders.
Ability to work independently, manage multiple priorities, and meet deadlines in a fast-paced environment.