About easypaisa digital bank
easypaisa is Pakistan’s first digital bank and has played a significant role in advancing the country’s digital financial landscape. Backed by our shareholders, Telenor Group, a leading telecom operator in Asia and the Nordics, and Ant Group, the company behind Alipay, easypaisa delivers secure and convenient financial solutions to millions of Pakistanis.
Position Summary
The incumbent is responsible for managing the business reporting and analytics needs of segment owners. The role involves conducting end-to-end analysis, translating business requirements into meaningful insights, and providing actionable recommendations to support business growth, product performance, and data-driven decision-making.
Duties & Responsibilities
- Work closely with product owners to document business requirements for reporting and analytics, identify critical metrics and KPIs, and deliver actionable insights.
- Develop and maintain interactive dashboards, reports, and visualizations using relevant business intelligence (BI) and data visualization tools.
- Integrate and analyze data from multiple sources to provide a consolidated view of business performance.
- Design dashboards that clearly communicate trends, performance gaps, customer behavior, and business opportunities.
- Continuously improve existing reporting solutions by enhancing automation, usability, data quality, and analytical depth.
- Collaborate with IT, Data Engineering, Project Management, and business teams to ensure timely delivery of analytics and reporting requirements.
- Track analytical deliverables, dependencies, and timelines, and proactively highlight potential risks or delays.
- Coordinate with technical teams to resolve data availability, data quality, and system-related issues.
- Conduct data validation, reconciliation, and quality checks to ensure the accuracy and consistency of reports, dashboards, and analytical outputs.
- Coordinate with Regulatory, Finance, and other relevant stakeholders to address reporting and data requirements.
- Work with Data Engineering and Data Warehouse (DWH) teams to understand data structures, tables, data marts, and data pipelines.
- Develop SQL queries and analytical scripts to extract, transform, validate, and analyze data.
- Build reusable and scalable analytical processes to improve efficiency and reduce manual effort.
- Develop and maintain visibility of app analytics funnels using AppsFlyer, Firebase, and other relevant tools to monitor key app KPIs, user journeys, and conversion rates.
- Conduct detailed business and product performance deep-dives to identify growth opportunities, performance gaps, and areas for improvement.
- Develop forecasts for subscribers, revenue, transactions, product adoption, and other critical business KPIs.
- Apply statistical techniques and, where applicable, data science and machine learning models to improve forecasting accuracy and support business planning.
- Conduct post-campaign analysis to evaluate campaign performance, reach, effectiveness, and cost efficiency, and recommend improvements for future campaigns.
- Analyze easypaisa app performance metrics on a daily basis using Firebase, CMS, and other available tools, generating daily, weekly, and monthly insights into user behavior, engagement, and performance trends.
- Translate analytical findings into clear business recommendations and present insights to relevant stakeholders to support product, segment, and growth-related decisions.
- Monitor key business KPIs against targets and historical performance, identify emerging trends or deviations, and highlight areas requiring management attention.
Education
- Bachelor’s degree in a relevant discipline, preferably supplemented by a professional certification, diploma, or master’s degree in Analytics, Business Intelligence, Statistics, Data Science, or a related field.
Experience
- At least 2 years of relevant experience in business analytics, reporting, business intelligence, product analytics, or a related field.
Behavioral Skills:
- Communication Skills
- Teamwork and Collaboration
- Customer Orientation
- Problem-Solving Skills
- Business Acumen and Stakeholder Management
- Critical Thinking and Attention to Detail
Competencies:
- Attention to Detail
- Advanced SQL and Excel
- Analytical and Problem-Solving Skills
- Statistical Analysis
- Cohort and Funnel Analysis
- Data Visualization (Power BI, Tableau, or equivalent tools)
- AppsFlyer, Firebase, and BigQuery
- Data Warehouse Concepts
- Forecasting and Predictive Modelling
- Python or equivalent analytical tools for statistical analysis and forecasting
- Data Interpretation and Business Insights
- Planning and Organizing