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Finance Data Analyst

Confido

New York, NYFull-time$125–175K/yrPosted todayStill listed today

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At a glance

Compensation
$125–175K/yr
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Confido is hiring a Data Analyst to build and own the data behind its finance function, reporting to the SVP of Finance. The analyst will develop finance data models and analyses used by leadership, the board, and investors, and apply AI and automation to reduce manual work in close, planning, and reporting. The role emphasizes faster, better decisions and clear, data-backed recommendations.

Skills & qualifications

RequiredNice to have

Skills

Advanced SQLDbtData ModelingData AnalysisStakeholder RecommendationsWritten CommunicationVerbal CommunicationAIBI ToolsSaaS Finance DataCRM Data

Qualifications

2+ Years Analyst Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Paid Time Off
401(k) Match
Relocation Assistance

Full job description

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.

The Role As a Data Analyst, you’ll build and own the data behind Confido’s finance function, reporting to our SVP of Finance. You’ll build the models and analyses that leadership, the board, and investors rely on, and use AI and automation to take manual work out of close, planning, and reporting. You’re accountable for faster, better decisions, not for the number of dashboards you build.

What You’ll Do

  • Partner with our 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 clean, well-documented data models and pipelines that bring together the ERP, CRM, billing, payroll and operational data into one trusted source of truth

  • Define and maintain core metrics in the semantic layer so reporting holds up for people and AI agents

  • Use AI and automation to remove manual finance and revops work, including reconciliations, anomaly detection, and self-serve reporting

  • Use advanced SQL to explore large, complex datasets and find what’s driving the outcomes

  • Go beyond surface-level numbers to explain the “why” behind performance trends, quantify opportunities and deliver clear recommendation

  • Turn analysis into clear narratives for the executive team, the board, and investors

What We’re Looking For Must Have:

  • 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

  • Track record of turning data into recommendations stakeholders act on

  • Strong written and verbal communication, including turning complex analysis into clear takeaways for senior leadership

  • You already use AI to work faster, whether automating repetitive tasks or drafting first-pass analyses

Nice to Have:

  • Experience with BI tools (Sigma, Omni, Looker, Hex, Tableau, etc.)

  • Experience with SaaS finance and CRM data

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

🌴 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.

How this job compares

Set against the 5,416 open Data Analyst jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$125–175K/yr
  • New York median$90–129K/yr338 salary ranges
  • US median$90–132K/yr3,326 salary ranges

This range's midpoint, $150K, is 33% above the New York median midpoint ($113K) — in the top quarter of Data Analyst salary ranges in New York.

Openings
Olive Jobs lists 490 open Data Analyst jobs in New York and 5,416 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 2 years of experience; Data Analyst postings that state a minimum ask for 4 years at the median (4,056 postings).
Education
2,328 of the 5,416 open Data Analyst jobs (43%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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