Job Description

Role Overview

We are looking for a Business Analyst who can act as a strong bridge between customers and analytics engineering teams. This role focuses on owning requirements, creating clear Business Requirement Documents (BRDs), and independently delivering insight-led analysis using SQL and Excel. The ideal candidate is framework-driven, impact-oriented, and comfortable presenting insights to stakeholders.


Responsibilities

• Lead requirement gathering discussions with customers and internal stakeholders.

• Translate business problems into clear, structured BRDs for analytics engineers.

• Define KPIs, metrics, assumptions, edge cases, and dependencies.

• Perform independent analysis using SQL and Excel to answer business questions.

• Validate datasets and outputs before dashboard or reporting consumption.

• Apply a structured analytical framework to solve problems.

• Present insights and recommendations clearly to customers and leadership.

• Collaborate closely with Analytics Engineers and Data Engineers.

• Reduce rework by proactively identifying data gaps and risks.

• Support stakeholders with ad-hoc analysis and insights.

Requirements

  • 2+ years of experience in Business Analysis or Analytics roles.
  • Strong experience creating Business Requirement Documents (BRDs).
  • 1.5+ years of working knowledge of SQL (CTEs, joins, aggregations, filters).
  • Strong Excel skills (pivot tables, lookups, formulas).
  • Ability to independently perform exploratory and validation analysis.
  • Strong written and verbal communication skills.
  • Experience working in customer-facing roles.

Good to Have

  • Experience working with Analytics or Data Engineering teams.
  • Exposure to BI tools or analytics platforms.
  • Experience in B2B, Retail, or DTC analytics.
  • Prior consulting or stakeholder management experience.
  • Experience working with ERP systems like NetSuite.

What Success Looks Like

  • Clear, actionable BRDs with minimal back-and-forth.
  • Faster delivery of insights without heavy DE dependency.
  • High stakeholder trust and confidence in analysis.
  • Reduced rework and improved delivery quality.

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