Data Analyst

Skit.ai

On-site

Bangalore, India

Full-time

Mid Level

2+ yrs

Salary not listedPosted 2d ago

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Real job — pulled straight from Skit.ai’s careers page · Verified September 23, 2026 · No reposts.

Skit.ai is hiring a Data Analyst — a full-time, based in Bangalore, India role. Apply directly on Skit.ai's careers page below.

Data Analyst

Location: Bangalore, India

Department: Delivery

Experience: 2+ Years

About Us:

Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. Skit.ai’s Collection Orchestration Platform, the world’s first solution, streamlines collection conversations by syncing channels and accounts. Skit.ai’s Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. Skit.ai 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. Skit.ai is headquartered in New York City, NY. Visit https://skit.ai/.

Job Title: Data Analyst

Location: Bangalore (100% WFO)

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.