Business Analyst | Procurement | Product Based | Permanent Remote

Dsilo Ai Technologies; United States; Remote; USD 60,000 - 90,000; Full time

Job summary

Dsilo Ai Technologies is seeking a detail-oriented Business Analyst for the Customer Success team to validate AI-extracted data before delivery to customers. You will spot anomalies, investigate root causes, and ensure data accuracy and completeness in a fast-moving AI startup.

You will work with Product, Data, and Engineering to improve data quality over time, and you will prepare clean data handoffs for Customer Success Leads. Strong communication and proactive ownership are essential.

Qualifications

• Exceptionally detail-oriented with strong analytical judgment.
• Strong ability to spot anomalies and investigate root causes.

Responsibilities

• Validate AI-extracted data for accuracy and completeness.
• Identify data inconsistencies and investigate why they occur.
• Collaborate with Product/Engineering to improve data quality over time.
• Prepare clean data handoffs for Customer Success.
• Explain findings and data caveats clearly to stakeholders.

Skills

Detail orientation

Data analysis

Problem solving

Communication

Tools

SQL

Job description

Business Analyst Customer Success (AI & Data Quality)

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

We're 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.

You'll 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.

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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

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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
• Strong communicator who can clearly explain findings and data caveats

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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

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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

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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.

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Who Should Not Apply

• 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

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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