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.