Manager Business Analytics

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

Key Responsibilities
- Collaborate with product owners to gather and document business requirements for reporting and analytics, identifying key 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 unified view of business performance.
- Design dashboards that effectively communicate trends, performance gaps, customer behavior, and business opportunities.
- Continuously enhance reporting solutions by improving automation, usability, data quality, and analytical depth.
- Work closely with IT, Data Engineering, Project Management, and business teams to ensure timely delivery of analytics and reporting outputs.
- 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 system functionality.
- Perform 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 enhance efficiency and minimize manual efforts.
- Manage app analytics funnels using tools like AppsFlyer and Firebase to monitor key app KPIs, user journeys, and conversion rates.
- Conduct 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 predictive modeling.
- Apply data science and machine learning models where applicable to improve forecasting accuracy and support strategic planning.
- Analyze campaign performance post-execution to evaluate effectiveness, reach, and cost-efficiency, recommending improvements for future campaigns.
- Monitor daily app performance metrics through Firebase, CMS, and other tools, generating 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 decisions.
- Track key business KPIs against targets and historical data, identify emerging trends or deviations, and highlight areas requiring management attention.

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

Behavioral Skills and Competencies
- Strong communication skills with the ability to collaborate effectively across teams.
- Customer-oriented mindset with excellent problem-solving capabilities.
- Business acumen and stakeholder management experience.
- Critical thinking and meticulous attention to detail.
- Advanced proficiency in SQL and Excel.
- Expertise in statistical analysis, cohort and funnel analysis.
- Proficiency with data visualization tools such as Power BI or Tableau.
- Experience with AppsFlyer, Firebase, BigQuery, and data warehouse concepts.
- Skills in forecasting, predictive modeling, and using Python or equivalent analytical tools.
- Ability to interpret data and translate it into actionable business insights.
- Strong planning and organizational skills.

This role offers the opportunity to work at the forefront of Pakistan’s digital banking revolution, contributing to impactful data-driven strategies and innovative financial solutions.