分析经理 - MGN Pak - RBG - 分析.零售银行业务集团

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.

Originally posted on Himalayas