[Hiring] Assistant Manager - Analytics @Mashreq

Role Description

The role involves managing and executing campaigns with a focus on analytics and performance measurement.

Qualifications

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

Requirements

• 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.

Benefits

• 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.