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Confido

Senior Data Analyst

Reposted 3 Days Ago
In-Office
New York, NY
175K-210K Annually
Senior level
In-Office
New York, NY
175K-210K Annually
Senior level
Build the analytics layer for Confido and customers: design dashboards, define KPIs, write complex SQL for large financial and operational datasets, surface insights, drive analytic projects, and collaborate with product and engineering to improve data models.
The summary above was generated by AI

Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations, unified in one system for the first time.

We're growing 5x year over year with a small team in New York City; the people who join now will shape the product, the culture, and the company itself.

If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.


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

  • Combining and transforming data into clean, analysis-ready datasets that power actionable insights

  • 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

  • Strong communication skills working with technical and non-technical stakeholders

Nice to Have

  • Experience with BI tools (Omni, Looker, Mode, etc.)

  • Experience working with financial, retail, or operational datasets

  • Comfort working directly with users

  • Interest in early-stage startups and high-ownership roles

  • Technical or quantitative degree

🌴 Perks + Benefits
  • Equity — own a piece of what you're building

  • Fully paid health coverage with Aetna (we cover 100% of premiums)

  • Top-tier dental and vision through Guardian

  • 12 weeks paid parental leave

  • Unlimited PTO, plus regular 4-day holiday weekends we actually take

  • 401(k) through Vestwell

  • Paid relocation — we'll get you here

  • Full desk setup on day one (laptop, monitor, keyboard) + a $200 stipend to make it yours

  • Catered Friday lunches, team dinners on us, and unlimited coffee + snacks featuring our own brands

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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