Associate Process Manager

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors.

An Analytics Consultant with 6+ years of experience, who has led and executed data-driven strategies to improve customer engagement and ROI across the customer lifecycle. Leveraging segmentation frameworks, lifecycle modeling and experimental design, delivering actionable insights for marketing campaign optimization, promotional strategy and audience presentation.

Associate Process Manager Roles and responsibilities:

• Lifecycle Modeling: Built and operationalized customer lifecycle models to enable personalized interventions across acquisition, retention and reactivation stages.
• Customer Segmentation: Designed and implemented data-driven customer segmentations using behavioral, demographic and ML based clustering methods to drive targeted marketing.
• Performance Analytics & Insights: Delivered campaign performance dashboards and deep-dive insights that informed marketing optimizations and stakeholder decisions.
• Optimization: Identified opportunities to optimize channel mix, creative effectiveness and campaign ROI through continuous performance monitoring and predictive analysis.
• Promotion Modeling: Developed statistical models to evaluate the impact of promotional strategies on sales, elasticity and customer behaviour.
• Comms A/B Testing: Led A/B and multivariate testing across digital channels to optimize messaging strategies based on data-backed learnings.

Technical and Functional Skills:

Languages: SQL (Postgre SQL, MySQL), Python (Pandas, Matplotlib) / R

Marketing Platforms: Adobe Campaign / Salesforce / Braze

Experimentation: Google Optimize / Adobe Target

Cloud ETL: Google BigQuery / Snowflake / AWS Redshift