Data Analyst

Data Analyst plays a pivotal role in analyzing financial data, customer behavior, market trends, and other relevant datasets to inform business strategies, improve customer experiences, and drive innovation in financial services.

1. OPERATION MANAGEMENT

• Collect and manage financial data, customer data, market trends, and other relevant datasets.
• Ensure data quality and integrity by implementing proper data collection and management practices.
• Perform statistical analysis on collected data to identify trends, patterns, and insights.
• Use data to forecast trends, evaluate the effectiveness of current policies, and assess market conditions.
• Create reports and dashboards to present findings in an understandable and visually appealing manner.
• Communicate complex data findings to stakeholders in a clear and concise way.
• Work closely with different departments, including marketing, sales, product development, and risk management, to provide data-driven insights.
• Support decision-making processes across the organization with relevant data.
• Develop predictive models and algorithms to support business decisions.
• Analyze customer behaviors and preferences to improve customer experience and product offerings.
• Keep abreast of market changes and competitor activities to provide relevant insights. 
• Ensure compliance with financial regulations and standards in data handling and analysis.
• Analyze risk factors and provide recommendations to mitigate risks.
• Utilize advanced analytics tools and software (like SQL, Python, R, Tableau) to perform analyses.
• Stay updated with the latest technologies and methodologies in data analytics.

2. CLIENTS MANAGEMENT

• Work closely with department heads, managers, and employees to understand their workflow needs and challenges.

• Collaborate with IT, HR, and other relevant departments to ensure processes are integrated across the organization.
  
  QUALIFICATIONS AND EDUCATION REQUIREMENTS:
  
• Bachelors or Masters degree in Statistics, Economics, Computer Science, Finance, or a related field.
• Proven experience in data analysis, preferably in a fintech or financial services environment.
• Experience in handling large datasets and familiarity with database technologies.
• 3-4 years of experience in data analysis.
• Strong English Communication Skills
• Proficiency in data analytics tools and programming languages (e.g., SQL, Python, R).
• Strong skills in data visualization and reporting tools (Tableau, Power BI).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.
• Excellent problem-solving abilities to provide practical and effective solutions.