The Customer Experience Analyst will be responsible for collecting, processing, analyzing, and visualizing customer data to derive actionable insights. This role plays a key part in enhancing customer satisfaction and engagement by supporting business decisions through data-driven analysis, reporting, and experimentation

Qualification and Experience

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.

• 2–3 years of relevant experience in data analysis, reporting, or business intelligence.

Job Description

• Process structured/sliced customer and business data using Python to generate meaningful datasets and automated reports.

• Prepare comprehensive reports that highlight key metrics, customer behavior trends, and business impacts using visualization tools and techniques.

• Conduct pre- and post-analysis to measure the impact of initiatives.

• Design visually appealing and interactive dashboards, reports, and presentations using tools like Excel (Power Query), Power BI.

• Translate complex data insights into easy-to-understand formats for different stakeholders.

• Use Excel, Power BI, and Python for data transformation, ensuring accuracy, consistency, and relevance across all reporting outputs.

• Identify and resolve data anomalies or inconsistencies, maintaining high data integrity.

• Support data-driven experimentation initiatives to test customer-focused hypotheses and provide insights into experience improvements.

• Analyze test outcomes to recommend strategic and tactical actions.

• Assist in managing the Data Lake, ensuring effective storage, access, and usage of customer and operational data.

• Coordinate with the database team on data warehousing solutions to support advanced analytics and intelligence.

• Collaborate with data analysts, engineers, product teams, and other stakeholders to develop scalable and high-quality data solutions.

• Participate in internal training and continuous learning opportunities.

• Stay updated on current trends, tools, and techniques in data analysis and visualization to bring innovation to the role.

 

Required Skills

• Experience in customer experience or digital product analytics.

• Knowledge of SQL, DAX, or other data query languages.

• Understanding of customer journey mapping and customer segmentation.

• Proficiency in Python for data manipulation and analysis.

• Strong experience with Excel (including Power Query), Power BI, or similar tools.

• Familiarity with data lake or data warehouse environments.

• Understanding of data visualization best practices and tools.

• Excellent attention to detail, analytical thinking, and problem-solving skills.

• Effective communication and collaboration abilities.

Benefits of Working at eSewa

• Stellar opportunity to work with a rising company

• The amazing and passionate young team, beautiful office space

• Trust of the biggest FinTech company.

• One-of-a-kind company culture and growth opportunities to accelerate your career progression.

How to apply?

We are always keen to meet energetic and talented professionals who would like to join our team. Click on the button below and submit your application to apply for the post.

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