Finance Data Analyst

Confido•New York, NY

1d•$125,000 - $175,000

About The Position

Confido is hiring a Finance Data Analyst to build and own the data supporting its finance function. Reporting to the SVP of Finance, the analyst will develop models and analyses relied on by company leadership, the board, and investors, and use AI and automation to reduce manual work in close, planning, and reporting. The role is accountable for enabling faster, better decisions rather than maximizing dashboard output. The analyst will serve as the lead analyst for the finance team, build a trusted finance data layer using Snowflake and BI tools, define and maintain core metrics, and turn complex data into clear recommendations and narratives for senior stakeholders. Confido describes itself as an AI operating system serving consumer packaged goods brands and says it is trusted by more than 250 brands managing over $30 billion in revenue.

Requirements

2 to 4 years of experience as a data analyst, business analyst, or analytics engineer, ideally partnering with Finance or FP&A.
Advanced SQL skills, especially debugging complex logic.
Hands-on experience building models in dbt or a similar transformation framework.
A track record of turning data into recommendations stakeholders act on.
Strong written and verbal communication skills, including communicating complex analysis as clear takeaways for senior leadership.
Current use of AI to work faster, such as automating repetitive tasks or drafting first-pass analyses.

Nice To Haves

Experience with BI tools such as Sigma, Omni, Looker, Hex, or Tableau.
Experience with SaaS finance and CRM data.
Interest in early-stage startups and high-ownership roles.

Responsibilities

Partner with the SVP of Finance as the lead analyst for the finance team, turning open-ended questions into clear, data-backed recommendations.
Design and build the finance data layer in Snowflake and BI tooling, including documented data models and pipelines that integrate ERP, CRM, billing, payroll, and operational data.
Define and maintain core metrics in the semantic layer so reporting works for people and AI agents.
Use AI and automation to reduce manual finance and revenue operations work, including reconciliations, anomaly detection, and self-service reporting.
Use advanced SQL to explore large, complex datasets and identify drivers of outcomes.
Explain performance trends, quantify opportunities, and provide clear recommendations.
Turn analysis into clear narratives for the executive team, board, and investors.

Benefits

Equity in the company.
100% employer-paid employee health insurance premiums through Aetna.
Dental and vision coverage through Guardian.
Carrot Fertility Pro fertility and family-forming support.
12 weeks of paid parental leave.
Unlimited PTO and regular four-day holiday weekends.
401(k) through Vestwell.
Paid relocation support to move to New York City.
Fully equipped workspace, including a laptop, monitor, keyboard, and a $200 setup-personalization stipend.
Catered Friday lunches, team dinners, and unlimited coffee and snacks.