Assistant Manager - Analytics.MGN Pak - RBG - Analytics.Retail Banking Group

Qualifications & Experience

Education • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, Statistics, Mathematics, or related discipline.

Experience • Minimum 5+ years of experience in Campaign Management, Marketing Analytics, Customer Analytics, CRM, CDP, or related analytics roles. • Experience in banking, financial services, telecommunications, or customer-centric industries preferred. • Proven experience in end-to-end campaign execution and performance measurement.

Technical Skills • Strong expertise in SQL with advanced query writing, optimization, and troubleshooting capabilities. • Hands-on experience with Customer Data Platforms (CDP) and customer segmentation tools. • Experience working with Hadoop, Hive, Zeppelin, Data Lake environments, and large datasets. • Strong analytical and statistical problem-solving skills. • Experience in campaign performance tracking, attribution, and ROI measurement. • Knowledge of A/B testing, experimental design, and customer journey analytics. • Experience with Business Intelligence and reporting tools such as Power BI, Tableau, or similar platforms.

Competencies • Strong campaign management and execution capabilities. • Advanced analytical and critical thinking skills. • Ability to derive actionable business insights from data. • Strong attention to detail and commitment to data accuracy. • Excellent stakeholder management and communication skills. • Proactive, solution-oriented, and results-driven mindset. • Ability to manage multiple priorities in a fast-paced environment. • Strong ownership, accountability, and problem-solving abilities. • Strategic thinking with the ability to design effective customer engagement solutions. • Team player with excellent collaboration and relationship management skills.

Success Measures • Timely and flawless execution of campaigns. • Improvement in campaign response rates and business outcomes. • Quality and accuracy of customer segmentation and reporting. • Effective utilization of data insights to drive business decisions. • Successful delivery of analytical projects and stakeholder satisfaction. • Continuous optimization of campaign performance through testing and insights.