Financial Data Analyst

Our Financial Data Analyst will be a driving force in collecting, analyzing, and interpreting financial and operational data to provide insights that support decision-making across the organization. This role combines the responsibilities of both financial and data analysis, requiring a deep understanding of financial reporting, budgeting, and data analytics. The Financial Data Analyst will work closely with management and cross-functional teams to create financial models, analyze trends, visualize data, and deliver actionable recommendations to improve business performance.

We live by the following Core Values:

• Leadership – Lead with courage and heart
• Agile – Be agile, flexible, and disciplined
• Innovation – Evolve, adapt, drive change
• Curiosity – Explore, learn and share every day
• Excellence –Deliver amazing customer experiences
• Relationship –Build strong, lasting relationships.

Key Responsibilities:

Reporting & Analysis:

• Prepare daily, weekly, monthly, quarterly, annual and ad hoc operational and financial reports for analysis of key performance indicators.
• Conduct variance analysis, comparing actual results to forecasts and budgets, and explain deviations.
• Support the development of budgets and financial forecasts.

Data Collection & Cleaning:

• Gather financial and operational data from various internal and external sources.
• Ensure data integrity through cleaning and validating data sets, addressing inconsistencies and missing information.
• Performance data transformation, cleansing and manipulation to provide various views of the data

Financial Modeling & Forecasting:

• Develop and maintain financial models to assess potential business scenarios, risks, and opportunities.

Data Analysis & Reporting:

• Analyze financial and non-financial data to uncover patterns, trends, and insights.
• Use statistical techniques to perform in-depth analysis on key performance indicators (KPIs).
• Provide ad-hoc reports for various departments, delivering actionable insights.

Data Visualization:

• Create clear and concise visual reports, dashboards, and presentations using tools in Excel and Power BI.
• Communicate data-driven insights to stakeholders, enabling strategic decision-making.

Cost & Efficiency Analysis:

• Identify areas for cost savings and operational efficiencies by analyzing financial and operational data.
• Collaborate with teams to track and measure the financial impact of business initiatives.

Market & Investment Analysis:

• Conduct research on market trends, industry benchmarks, and economic factors that may impact business performance.
• Evaluate investment opportunities and assess risks and returns to support financial decision-making.

Qualifications:

• Education: Bachelor’s degree in Finance, Data Science, Accounting, Economics, or a related field.
• Experience: 2-5 years of experience in financial analysis, data analysis, or a similar field.

Technical Skills:

• Data Analysis Tools: Extensive experience with Excel and Power Bi.
• Financial Tools: Proficiency in financial reporting software (e.g., SAP, Oracle).

Analytical Skills:

• Strong ability to analyze complex financial and operational data.
• Expertise in financial modeling, forecasting, and variance analysis.
• Strong attention to detail and accuracy in financial reporting and data analysis.

Preferred Qualifications:

• Knowledge of GAAP (Generally Accepted Accounting Principles) and financial regulations.
• Knowledge of IFRS (International Financial Reporting Standards)
• Familiarity with machine learning algorithms and predictive modeling.
• Some programming and SQL knowledge is a plus

Key Competencies:

• Strong problem-solving and critical-thinking abilities.
• Ability to manage multiple projects and meet deadlines.
• High level of integrity and professionalism in handling confidential data.