JOB SUMMARY
The Business Data Analyst Manager (Campaign & Loyalty) is responsible for leading the analysis, measurement, and optimization of customer loyalty programs and marketing campaigns. This role ensures that data-driven insights directly support business objectives, enhance customer engagement, and maximize ROI from loyalty initiatives.
DUTIES AND RESPONSIBILITIES:
Data Analysis & Insights
- Lead end-to-end analysis of campaign performance, member benefits, and loyalty initiatives.
- Identify customer behavior trends, segment performance, and opportunities for personalization.
- Develop dashboards and reports to track KPIs, campaign ROI, and member engagement.
Campaign & Loyalty Optimization
- Collaborate with Marketing, CRM, and Loyalty Operations teams to design and evaluate campaign mechanics, test strategies (e.g., A/B testing), and refine targeting.
- Recommend data-driven improvements to campaign strategies and member privilege programs.
- Monitor loyalty program effectiveness and propose enhancements to improve member retention and satisfaction and new member acquisition program.
Business Analytics & Data Science Enablement
- Bridge business and data science teams to translate requirements into analytical solutions.
- Support development and deployment of predictive models with clear business applications.
- Ensure analytical outputs are actionable, measurable, and aligned with business KPIs.
Data Governance
- Ensure data quality, integrity, and compliance with internal and external standards.
QUALIFICATIONS:
- Bachelor's – Master's degree in Business Analytics, Mathematics, Statistics, Computer Science, or a related field
- 5 years+ in end-to-end data analysis projects or loyalty analyst roles
- Experienced in Retail, Banking or E-Commerce industry is a plus
- Proven experience building actionable data analytics from engaging business stakeholders
- Required Skills/Abilities:
- Proficient SQL, Python or Pyspark, MS Excel or another spreadsheet
- Strong ability to convey insight finding and explain key concepts with excellent verbal and written communication skills.
- Excellent verbal and written skills with the ability to present strong data-driven storylines and content to both general and senior audiences. The ideal candidate must have the communication skills necessary to offer advice, guidance, and direction to a variety of stakeholders.
- Demonstrated ability to work independently, within a team, and remotely.
- Ability to manage prioritization of work from own judgement with project management skills.
- Demonstrated skills in visualizing data, specifically utilizing Power BI and Apache Superset (QlikView and Tableau are a plus)
