Accounts Finance & Taxation

Technical Skills:

Excel Proficiency: Strong expertise in Excel, including advanced functions (VLOOKUP, HLOOKUP, INDEX-MATCH), pivot tables, data validation, conditional formatting, and creating complex formulas.
Data Cleaning: Ability to clean and preprocess data by identifying and handling errors, inconsistencies, missing values, and outliers.
Data Analysis: Proficiency in using Excel for data analysis, trend identification, and generating insightful reports.
2. Analytical Abilities:

Problem-Solving: Capability to identify and solve data-related issues, such as data discrepancies and inaccuracies.
Quantitative Skills: Strong grasp of quantitative analysis techniques, including financial ratios, percentages, growth rates, and statistical calculations.
Attention to Detail: Keen eye for detail to ensure accuracy and reliability in data analysis and financial calculations.
3. Finance Knowledge:

Financial Statements: Understanding of financial statements such as income statements, balance sheets, and cash flow statements.
Financial Analysis: Ability to perform financial analysis, including profitability analysis, liquidity assessment, and financial modeling.
Budgeting and Forecasting: Familiarity with budgeting processes, forecasting methods, and variance analysis.
4. Communication Skills:

Data Presentation: Skill in presenting complex data and analysis findings in a clear, concise, and visually appealing manner.
Interpretation: Ability to interpret data trends and insights to provide actionable recommendations to stakeholders.
5. Domain Knowledge:

Finance and Accounting: Familiarity with financial concepts, principles, and accounting practices.
Industry Expertise: Depending on the specific role, knowledge of the industry's financial dynamics and key performance indicators (KPIs) can be beneficial.
6. Time Management:

Efficiency: Ability to manage and prioritize tasks efficiently, especially when working with large datasets and multiple projects simultaneously.
7. Software Skills:

Other Data Tools: Familiarity with data manipulation tools like Python, R, or SQL can be an advantage, especially for larger datasets and more complex analyses.
8. Problem-Solving Skills:

Critical Thinking: Capability to analyze complex problems, break them down into manageable components, and develop effective solutions.
9. Continuous Learning:

Adaptability: Willingness to learn and adapt to new tools, techniques, and technologies as the field of data analysis and finance evolves.
10. Team Collaboration:

Collaborative Approach: Ability to work effectively in cross-functional teams, collaborating with colleagues from different departments and disciplines.
Remember that specific job roles may have varying requirements based on the organization's size, industry, and the complexity of tasks involved. Tailor your resume and application to highlight your relevant skills and experiences that align with the specific job description.

Work Terms

25 to 30 Hours week