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Senior Data Analyst

New York, United States

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Apply at Confido Inc.

What you’ll work on

Full posting
  • You’ll design dashboards, develop core metrics, and surface insights that drive decision-making across the platform.

  • Partner with product, engineering, and customers to understand analytics needs

  • Design and build dashboards, reports, and analytical tools for internal and external users

From the employer’s posting
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.
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
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

Tools in this posting

  • SQL
  • Looker
Source — Tool mentions in context
- 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
- 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
Nice to Have - Experience with BI tools (Omni, Looker, Mode, etc.) - Experience working with financial, retail, or operational datasets

Job description

View original posting ↗

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees.

We're building the platform they run on, and a brand they'll be proud to be part of.

Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number.

We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.

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 meaningful piece of the company you’re helping build

  • Fully paid health coverage through Aetna — we cover 100% of employee premiums

  • Top-tier dental and vision coverage through Guardian

  • Carrot Fertility Pro — comprehensive fertility and family-forming support

  • 12 weeks of paid parental leave

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

  • 401(k) through Vestwell

  • Paid relocation support — we’ll help you make the move to NYC

  • Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup

  • Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with

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.

Your next step

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

New York, United States

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Status in our records
Active
First seen by us
Jul 9, 2026
Recorded sightings
63
Last seen by us
Oct 9, 2026
Employer says posted
Jun 26, 2026

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