Financial Data Analyst at Hire Resolve

Job Description

• A leading Financial consultancy firm is seeking a Financial Data Analyst to joint heir company. This role is ideal for individuals who are passionate about working with data, interpreting financial trends, and supporting business decisions with accurate insights. You will play a key part in helping the company strengthen its financial reporting, improve forecasting accuracy, and support strategic growth initiatives.

Responsibilities:

• Collect, clean, and analyze financial and operational data to ensure accuracy and integrity.
• Build and maintain financial reports and dashboards covering revenue, costs, KPIs, and performance metrics.
• Assist with budgeting, forecasting, and variance analysis to support decision-making.
• Partner closely with Finance, Business Intelligence, and Operations teams to provide meaningful insights.
• Monitor data quality, identify discrepancies, and recommend process improvements.
• Contribute to the development of financial models to support business strategies.
• Support monthly, quarterly, and year-end financial reporting processes.
• Track and analyze financial trends to highlight risks, opportunities, and cost-saving initiatives.
• Provide ad hoc analysis and data-driven recommendations for management.
• Document processes, maintain data dictionaries, and support compliance with internal controls.
• Collaborate with IT/BI teams to improve reporting tools and automation of recurring tasks.
• Stay up to date with industry benchmarks and best practices to improve analytical capabilities..

Requirements:

• Currently Living In Cape Town (NB)
• Bachelor’s degree in Finance, Accounting, Economics, Data Science, or a related field.
• 2-4years’ experience in financial analysis, data analytics, or business intelligence.
• Strong SQL skills (complex queries, joins, CTEs, Window functions)
• Strong proficiency in Excel; working knowledge of SQL, Tableau, Power BI, or similar BI tools is advantageous.
• Proficiency in Python for data manipulation and statistical modelling (Pandas, NumPy, Scikit-learn preferred)
• Solid understanding of statistical concepts (hypothesis testing, regression, time-series forecasting)
• Excellent analytical and problem-solving skills with strong attention to detail.
• Effective communication skills and the ability to collaborate across teams.
• A proactive, eager-to-learn mindset with the ability to adapt in a fast-paced environment