Manager, CX Analytics

Ethos limited
Posted on
Ethos limited logo

Experience
5 - 9 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Data Science Manager
Job Type
ONSITE

Job Description

About the Role
Creating a world-class customer experience is core to Ethos mission. We are looking for a Manager, CX Analytics to own the measurement, instrumentation, and insight layer across our Customer Experience and Operations teams. This is a high-impact individual contributor role you will be the analytical engine behind CX, translating raw operational data into decisions that improve efficiency, reduce cost, and elevate customer experience.
Duties and Responsibilities:
  • Own the end-to-end analytics lifecycle for CX Operations: metric definition, data instrumentation, reporting, and insight delivery to leadership
  • Build and maintain dashboards and analytical models that surface CX metrics like AHT, CSAT, productivity, repeat rates, bounce rates, cost-per-contact trends across channels
  • Author business requirements for data instrumentation gaps defining event-level tracking needs, data contracts, and success criteria in partnership with engineering and ops teams
  • Translate complex operational data into clear, decision-ready narratives for senior stakeholders
  • Identify inefficiencies in CX processes through data; quantify their cost impact and size the opportunity for improvement
  • Partner with Workforce Management and Finance on headcount planning, cost modeling, and productivity benchmarking
  • Use AI tools including Claude to accelerate analysis, automate recurring reporting, and prototype data solutions rapidly
  • Maintain structured, documented analytical frameworks that can scale as the team grows
Qualifications and Skills:
  • 5-9 years in an analytics or operations analytics role, ideally in a high-volume CX, support
  • Strong SQL proficiency you write queries independently, build data models, and debug pipelines without hand-holding
  • Demonstrated ability to define and instrument metrics from scratch, including authoring business requirements for engineering teams
  • Experience working with CRM data, preferably Salesforce
  • Comfortable using AI tools (Claude or equivalent) to accelerate analytical workflows
  • Familiarity with BI or data platforms is a plus
  • Strong written communication your docs and decks are tight, structured, and built for decisions
  • Self-directed: you identify what needs to be measured before being asked, and you follow through without close supervision
#LI-Onsite
#LI-KP1
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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