Data Analyst – US Business

7 days ago

Bengaluru East Karnataka, India Skit Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About Us
is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. 's Collection Orchestration Platform, the world's first solution, streamlines collection conversations by syncing channels and accounts. 's Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. has received several awards and recognitions, including the BIG AI Excellence Award 2024, Stevie Gold Winner 2023 for Most Innovative Company by The International Business Awards, and Disruptive Technology of the Year 2022 by CCW. is headquartered in New York City, NY. Visit

Job Title:
Data Analyst – US Business

Location:
Bangalore, 6-day WFO (Monday to Saturday)

Shift Hours:
4:30 pm – 1:30 am IST

About The Role
Translate raw operational and campaign data into actionable insights that improve debt recovery efficiency and client ROI. You'll support end-to-end collections strategy with dashboards, benchmarks, and predictive analytics.

What You'll Do

  • Build daily dashboards for voice, SMS, and email performance funnels.
  • Develop account-specific benchmarks for onboarding, activation, and expansion stages.
  • Identify gaps and trends using historical data analysis.
  • Run predictive models for rollbacks, cure rates, and recovery likelihood.
  • Prepare QA sampling and reporting for agent call reviews.
  • Partner with PMs and Portfolio Managers on A/B test results and campaign pivots.

What We're Looking For

  • 2–3 years of analytics experience in fintech, collections, or SaaS.
  • Strong technical skills: Advanced SQL, Excel (macros, pivot tables), BI tools (Power BI, Tableau).
  • Familiarity with AI/ML-based predictive analytics a plus.
  • Knowledge of data privacy and secure handling protocols.
  • Problem-solving mindset with strong communication and storytelling skills.
  • Ability to work in US business hours.

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