Sales Data Analyst

About PalmPay
PalmPay is a leading neobank and fintech platform scaling financial inclusion across emerging markets. With over 40 million users, we’re building a digital financial ecosystem that empowers individuals and businesses through accessible, easy-to-use, and rewarding financial services.
Operating in China, Nigeria, Ghana, Tanzania, Pakistan, and Bangladesh, PalmPay has been recognized by CNBC as one of the Top 300 Global Fintech Companies and ranked #2 overall and #1 in financial services on the Financial Times’ Africa’s Fastest Growing Companies 2025 list.
Position Overview
We are seeking a Sales Data Analyst to join our Sales Data Team in Bangladesh. The role focuses on collecting, analyzing, and interpreting business data to support decision-making and enhance operational performance. The ideal candidate will have hands-on experience with data analysis, business intelligence tools, and reporting automation, combined with strong analytical and communication skills.
Key Responsibilities
Data Analysis & Reporting

• Collect, clean, and analyze business and sales data to support strategic and operational decision-making.
• Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or Excel.
• Identify key performance trends, anomalies, and patterns to inform business strategy and improve efficiency.

Collaboration & Insight Generation

• Partner with cross-functional teams, including Sales, Marketing, Finance, and Risk Management, to understand data needs and deliver actionable insights.
• Assist in preparing periodic performance reports and KPI dashboards for management.
• Translate complex data findings into clear, concise visual reports and business recommendations.

Documentation & Process Improvement

• Maintain up-to-date documentation of data sources, report logic, and analytical methodologies.
• Support data automation initiatives and contribute to continuous process improvements.
• Ensure data accuracy, consistency, and security across all reporting systems.

Required Skill Set

• Proficiency in MS Excel, SQL, and at least one BI tool (Power BI / Tableau / Google DataStudio).
• Strong analytical and problem-solving skills.
• Basic understanding of data modeling and database management concepts.
• Ability to translate data into clear visual insights.
• Good communication and presentation skills.
• Detail-oriented with a strong sense of accuracy.
• Basic knowledge of Python/R (optional but preferred).

Years of Experience & Education

• 1–2 years of relevant experience in data analysis, reporting, or business intelligence.
• MIS/CSE graduates with a business minor are preferred.
• Fresh graduates with strong analytical aptitude are also encouraged to apply.

Compensation & Benefits

• Competitive salary package aligned with company standards.
• Festival bonuses and mobile/internet allowance.
• Opportunity to work in a fast-growing fintech environment with global exposure.
• Professional development opportunities through cross-functional collaboration and data projects.