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Salary
$175k – $200k per year
Location
In office (New York)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Confido is the AI infrastructure for CPG brands, providing a single source of truth for accounting, finance, sales, and operations teams.

As a Senior Data Analyst, you will build the analytics layer that helps both Confido and our customers understand their financial and operational data. You’ll design dashboards, develop core metrics, and surface insights that drive decision-making across the platform.

This is a foundational role where you’ll help shape Confido’s data culture and establish how analytics are delivered internally and to customers.

Location: New York, NY (Relocation supported)

What You'll Do

  • Partner with product, engineering, and customers to understand analytics needs
  • Design and build dashboards, reports, and analytical tools for internal and external users
  • Write complex SQL queries to analyze large-scale financial and operational datasets
  • Define and maintain key business metrics and KPIs
  • Identify trends, anomalies, and opportunities within retailer and financial data
  • Drive analytical projects from exploration through delivery
  • Collaborate with engineers to improve data models and underlying datasets

Example Problems

  • Building custom dashboards for brands to understand retailer performance
  • Analyzing deduction and dispute data to identify operational inefficiencies
  • Designing analytics that help brands forecast sales and demand
  • Identifying anomalies in retailer or promotion performance
  • Turning complex financial data into intuitive visual insights

What We're Looking For

Required

  • 4+ years of experience in data analysis or analytics roles
  • Advanced SQL skills and experience working with large datasets
  • Strong experience building dashboards and analytical reports
  • Ability to translate data into clear insights and recommendations

Nice to Have

  • Experience with BI tools (Omni, Looker, Mode, etc.)
  • Experience working with financial, retail, or operational datasets
  • Strong communication skills and comfort working directly with users
  • Interest in early-stage startups and high-ownership roles
  • Technical or quantitative degree
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