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Business Analyst

Evlo AI · New York, NY

Spotted 4h agoFull-time

Job details

Employment
Full-time
Level
Mid level
Experience
3+ years
Education
Bachelor's degree
Posted
Oct 19, 2026
Last confirmed open
Oct 19, 2026
Job description

About this role

About The Role

The role sits at the intersection of data, systems, and business process: translating revenue and operational questions into analyses, dashboards, and process improvements that leadership actually uses.

You will work across sales operations, finance, and product teams to instrument systems of record (CRM, billing, data warehouse), model business performance, and drive decisions with defensible numbers.

Key Responsibilities

  • Build and maintain dashboards and reporting in Looker, Tableau, or Power BI covering pipeline, revenue, retention, and operational KPIs
  • Write SQL queries against the data warehouse (Snowflake, BigQuery, or Redshift) to answer ad hoc and recurring business questions
  • Partner with RevOps to audit and improve CRM workflows in Salesforce, including lead routing, stage definitions, and forecast hygiene
  • Analyze funnel performance and unit economics; present findings and recommendations to sales, finance, and executive stakeholders
  • Document business processes and system requirements, and coordinate implementation of tooling changes with engineering and ops teams
  • Own quarterly business reviews and recurring metrics packages, ensuring data accuracy from source systems through final reporting
  • Validate and troubleshoot data pipeline issues with analytics engineering; define business logic and metric definitions

What We Are Looking For

  • 3-6 years of experience in business analysis, revenue operations, or a similar analytics role, ideally at a technology company
  • Strong SQL skills and working proficiency in Python or R for analysis; comfort with large, messy datasets
  • Hands-on experience with Salesforce and at least one BI tool (Looker, Tableau, or Power BI)
  • Ability to translate ambiguous business questions into structured analyses and clear recommendations
  • Experience presenting to senior stakeholders and managing competing requests across functions
  • Bachelor's degree in a quantitative field (economics, statistics, engineering, or related) or equivalent practical experience
  • Bonus: experience with dbt, revenue modeling or SaaS metrics (NRR, CAC payback, cohort analysis), or workflow automation tools (Zapier, Workato)
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