Business Analyst Customer Success (AI & Data Quality)

Join a fast-growing AI startup where data accuracy and curiosity matter.

Were hiring a Business Analyst to support our Customer Success team by ensuring the accuracy, consistency, and trustworthiness of AI-extracted data before it reaches customers. This role is ideal for someone who naturally spots anomalies, asks why, and takes ownership of issues without waiting to be told.

Youll act as the first line of defense for data quality, proactively investigating inconsistencies and validating AI outputs so our customers receive insights they can trust.

What You’ll Do

- Validate and review AI-extracted data for accuracy, consistency, and completeness
- Proactively identify anomalies, mismatches, and data inconsistencies—and investigate root causes
- Apply judgment to entity recognition and classification (e.g., knowing when similar company names represent different entities)
- Troubleshoot data issues independently before escalating with clear context and recommendations
- Prepare clean, customer-ready data handoffs for Customer Success Leads
- Collaborate with Product, Data, and Engineering to improve data quality over time

What We’re Looking For
- Exceptionally detail-oriented with strong analytical judgment
- Naturally curious—you dig in until the data makes sense
- Self-starter who takes initiative without being asked
- Comfortable working with imperfect data and ambiguity in a startup environment
- Solid communicator who can clearly explain findings and data caveats

Skills & Experience
- Experience analyzing structured or semi-structured data
- Ability to spot anomalies and question automated or AI-generated outputs
- Comfort with spreadsheets, analytics tools,



or BI platforms (SQL a plus, not required)
- Background in Customer Success, analytics, operations, SaaS, or data quality is a plus

Why This Role Matters
- You’ll help ensure customers trust the insights they receive
- You’ll reduce rework and friction for Customer Success teams
- You’ll influence how AI-driven data quality is operationalized at scale

If you love digging into data, spotting what others miss, and taking ownership in a fast-moving AI environment, we’d love to hear from you.

If you want next

- A short “Who should not apply” section (very effective for filtering)
- A screening question set for LinkedIn applicants
- A 1-page take-home exercise to quickly identify high-signal candidates

I'd like to see the "who should not apply" section Here’s a clear, firm—but professional—“Who Should Not Apply” section that works well on LinkedIn and helps self-select out low-fit candidates without sounding harsh.

Who Should Not Apply

This role is not a fit if you:
- Prefer highly structured work with step-by-step instructions
- Wait for tasks to be assigned rather than proactively investigating issues
- Are comfortable accepting AI-generated or automated data at face value
- Get frustrated by ambiguity, evolving processes, or incomplete information
- Dislike digging into details or tracing issues to their root cause
- Are looking for a purely reporting, dashboard, or ticket-based role

This Role Is a Fit If You:
- Notice small inconsistencies that others overlook
- Enjoy asking “why does this look off?” and following the thread
- Take pride in delivering accurate, trustworthy data
- Want to play a key role in shaping how data quality is handled in an AI product

📌 Business Analyst | Procurement | Product Based | Permanent Remote (Mumbai)
🏢 Dsilo Ai Technologies
📍 Mumbai