EngineHiring

Senior Data Analyst, Finance

  • Remote, United States
  • Senior
  • Posted 2 weeks ago
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In one line

Senior analyst owning the data and analytics behind a company's finance function, working closely with the head of finance.

About the role

The role builds the finance data layer and the reporting leadership relies on. Work ranges from pipelines and models to forecasting and board-level insight.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
SQL, Snowflake, Looker, dbt, Python, Regression, Time-series forecasting
Posted
12 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Scope analytical needs with the head of finance and turn open questions into rigorous answers.
  • Build clean, documented finance data models and pipelines in Snowflake covering ERP, billing, payroll and operations data.
  • Automate reconciliations, anomaly detection and self-serve reporting with AI and automation.
  • Build and manage Looker dashboards for revenue, margin, operating expenses and cash.
  • Use advanced SQL on large datasets to explain revenue, margin and cost trends.
  • Apply regression, time-series forecasting and driver analysis to improve forecast accuracy.

What they look for

  • Five or more years as a data or business analyst, ideally alongside finance or FP&A.
  • Advanced SQL plus hands-on work building data models and pipelines.
  • Strong statistics and econometrics fundamentals, including regression, hypothesis testing and forecasting.

Nice to have

  • Dbt experience and Python skills.

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Senior Data Analyst, Finance as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: five or more years as a data or business analyst, ideally alongside finance or FP&A; advanced SQL plus hands-on work building data models and pipelines; strong statistics and econometrics fundamentals, including regression, hypothesis testing and forecasting. Skills it names include SQL, Snowflake, Looker, dbt.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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