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.