Business Intelligence Analyst at PalmPay

Job Summary:

We are looking for a highly skilled and analytical Business Intelligence Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide insights and recommendations that drive business decisions. You will collaborate with various teams to develop and maintain data models, dashboards, and reports, ensuring that our business strategies are data-driven and effective. The ideal candidate will have a strong background in data analysis, business intelligence tools, and market trend analysis.

Key Responsibilities:

• Data Collection & Analysis: Gather, analyze, and interpret large datasets to generate insights that inform business strategies and decision-making processes.
• Data Visualization: Develop and maintain data visualization tools (e.g., Tableau, Power BI) to effectively communicate complex data in a simple and actionable manner to stakeholders.
• Business Reporting: Collaborate with cross-functional teams to create and maintain dashboards, reports, and data models that support critical business operations.
• Market Trend & Performance Analysis: Conduct in-depth analysis of market trends, customer behavior, and overall business performance to identify areas of opportunity and improvement.
• Sales & Marketing Support: Work closely with the sales and marketing teams to develop forecasts, strategies, and campaigns based on data-driven insights into market trends and customer behavior.
• Data Quality Management: Implement and maintain processes to ensure data accuracy and integrity across all business intelligence activities.
• Product Development Support: Provide actionable insights to the product development team to identify and implement product enhancements and innovations.
• Continuous Improvement: Stay up-to-date with emerging trends and best practices in business intelligence, data analytics, and market analysis to keep our systems and processes cutting-edge.

Qualifications:

• Bachelor's degree in Data Science, Business Analytics, Statistics, Mathematics, Computer Science, or a related field.
• Proven experience in business intelligence, data analysis, and data visualization.
• Proficiency in business intelligence tools (e.g., Tableau, Power BI) and data analysis software.
• Strong analytical skills with the ability to identify patterns, trends, and insights from complex data sets.
• Experience in data modeling, database management, and data quality metrics.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Knowledge of market trends, customer behavior analysis, and performance metrics.
• Strong organizational skills and attention to detail.

Preferred Qualifications:

• Experience in the fintech or technology industry.
• Familiarity with sales forecasting, KPI analysis, and marketing strategy development.
• Advanced skills in SQL, Python, or other data analysis tools.