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Finance Data Analyst

NYC Office · New York, United States

Actively hiring, first seen by us 8 days ago
Pay
Pay not listedSimilar roles state $94K–$145K
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
General & Administrative › Finance — team source
Department: General & Administrative › Finance
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require visa sponsorship to work legally in the United States (now or in the future)? This includes needing sponsorship for CPT, OPT or other visa types to work in the US.
From the employer’s application form

What you’ll work on

Full posting
  • Build and maintain the finance data layer in Snowflake and BI tools

  • Define and maintain core metrics in the semantic layer

  • Use AI and automation to cut manual finance and revops work

  • Use advanced SQL to find what drives performance trends

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

From the employer’s posting
Design and build the finance data layer in Snowflake and BI tooling
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
Turn analysis into clear narratives for the executive team, the board, and investors

What you’ll bring

All qualifications

Core experience

  • 2 to 4 years as a data, business, or analytics engineer analyst
  • Advanced SQL, especially debugging complex logic
  • Hands-on experience building models in dbt or similar
  • Track record of recommendations stakeholders act on
  • Strong written and verbal communication for senior leadership
Qualification wording
2 to 4 years of experience as a data analyst, business analyst, or analytics engineer
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
Apply at Confido

Posting record

Report an error

Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20268 days ago
Recorded sightings
8
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.4K–$145K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,036 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 8

Similar jobs usually come down between day 5 and day 43.

From 14,631 similar postings that came down. Coming down is not always a hire.

Confido is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • dbt
  • Looker
  • Sigma
  • Snowflake
  • Tableau
Where the posting names them
- 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
- 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
- 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
Nice to Have: - Experience with BI tools (Sigma, Omni, Looker, Hex, Tableau, etc.) - Experience with SaaS finance and CRM data
- 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

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

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.

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.

Source details

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Location & working pattern

New York, United States

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