Manager Business Analytics

Easypaisa Digital Bank, Pakistan’s first digital bank, has been a pioneer in transforming the country’s financial landscape. Supported by prominent shareholders including Telenor Group and Ant Group, easypaisa offers secure and convenient financial solutions to millions across Pakistan. The role focuses on managing business reporting and analytics for segment owners, delivering end-to-end analysis, translating business needs into actionable insights, and supporting data-driven decision-making to drive business growth and optimize product performance.

Key Responsibilities

- Collaborate closely with product owners to gather and document business requirements for reporting and analytics, identifying critical metrics and KPIs to generate actionable insights.
- Develop and maintain interactive dashboards, reports, and visualizations using business intelligence and data visualization tools.
- Integrate data from multiple sources to provide a consolidated view of business performance and design dashboards that highlight trends, performance gaps, customer behavior, and opportunities.
- Continuously enhance reporting solutions by improving automation, usability, data quality, and analytical depth.
- Work with IT, Data Engineering, Project Management, and business teams to ensure timely delivery of analytics and reporting requirements.
- Monitor analytical deliverables, manage dependencies and timelines, and proactively address potential risks or delays.
- Coordinate with technical teams to resolve issues related to data availability, quality, and systems.
- Conduct rigorous data validation, reconciliation, and quality checks to ensure accuracy and consistency of reports and dashboards.
- Liaise with Regulatory, Finance, and other stakeholders to fulfill reporting and data requirements.
- Collaborate with Data Engineering and Data Warehouse teams to understand data structures, tables, marts, and pipelines.
- Write SQL queries and analytical scripts to extract, transform, validate, and analyze data efficiently.
- Build reusable and scalable analytical processes to improve operational efficiency and reduce manual effort.
- Maintain app analytics funnels using tools like AppsFlyer and Firebase to monitor key KPIs, user journeys, and conversion rates.
- Perform detailed business and product performance analyses to identify growth opportunities and areas for improvement.
- Develop forecasts for subscribers, revenue, transactions, and product adoption using statistical techniques and, where applicable, data science and machine learning models.
- Conduct post-campaign analyses to evaluate effectiveness, reach, and cost efficiency, recommending improvements for future campaigns.
- Analyze daily app performance metrics using Firebase, CMS, and other tools, generating regular insights on user behavior and engagement trends.
- Translate analytical findings into clear business recommendations and present insights to stakeholders to support product, segment, and growth strategies.
- Monitor key business KPIs against targets and historical data, identifying emerging trends or deviations and highlighting areas needing management attention.

Required Qualifications

- Bachelor’s degree in a relevant discipline, preferably complemented by professional certification, diploma, or a master’s degree in Analytics, Business Intelligence, Statistics, Data Science, or a related field.
- Minimum of 2 years of experience in business analytics, reporting, business intelligence, product analytics, or a related area.

Preferred Skills and Competencies

- Strong communication skills, teamwork, collaboration, customer orientation, and stakeholder management.
- Excellent problem-solving abilities, critical thinking, and attention to detail.
- Proficiency in advanced SQL and Excel for data manipulation and analysis.
- Expertise in statistical analysis, cohort and funnel analysis, and data visualization tools such as Power BI or Tableau.
- Experience with AppsFlyer, Firebase, BigQuery, and understanding of data warehouse concepts.
- Ability to develop forecasting and predictive models using Python or equivalent analytical tools.
- Strong skills in data interpretation, business insights generation, planning, and organizing.

This role offers the opportunity to work at the forefront of digital banking analytics, contributing to the growth and innovation of Pakistan’s leading digital financial platform.