Job Description
The Associate Process Manager will be responsible for managing and delivering end-to-end analytics and insights projects related to customer feedback, digital channels, and brand sentiment. The role requires strong expertise in analyzing customer interactions across multiple touchpoints (social media, web/app analytics, surveys, reviews, NPS) and converting them into actionable insights.
The candidate will collaborate with cross-functional teams, manage stakeholders, and drive continuous improvement initiatives to enhance customer experience.
Key Responsibilities
- Lead Voice of Consumer (VoC) programs including surveys, reviews, and feedback analysis
- Design, manage, and analyze Net Promoter Score (NPS), CSAT, CES programs across customer touchpoints
- Perform social media listening and sentiment analysis across platforms (Twitter/X, Instagram, Facebook, forums, etc.)
- Analyze web and app performance metrics using tools like Adobe Analytics, Google Analytics, Amplitude etc.
- Analyze data from offline touchpoints and other physical customer interaction channels to generate actionable insights on customer experience and business performance.
- Identify customer journeys, drop-offs, and behavioral patterns across digital touchpoints
- Identify key customer pain points, trends, and emerging issues through data
- Build dashboards and reports using Power BI, Tableau, or similar visualization tools
- Translate data into actionable insights, compelling narratives, and strategic recommendations (data storytelling)
- Collaborate with digital, marketing, product, and CX teams to drive improvements
- Manage client communication and ensure timely delivery of insights and reports
- Drive closed-loop feedback mechanisms and continuous improvement initiatives
- Drive process improvements, automation, and standardization in analytics workflows
- Mentor analysts and ensure quality of deliverables
Good to Have
- Experience with text analytics / NLP / sentiment analysis tools
- Knowledge of Python/SQL for advanced analytics
- Experience working with data lake/lakehouse platforms (e.g., Databricks) for handling large-scale structured and unstructured data analytics
- Familiarity with A/B testing, experimentation frameworks, and CRO (Conversion Rate Optimization)
- Exposure to automation tools or AI-driven analytics solutions