A consumer fintech companyHiring

Data Analyst, Operations

  • Remote, United States
  • Mid-level
  • Posted 7 days ago
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In one line

Analyst embedded with operations and customer support, owning measurement, reporting and ad hoc investigations; uses BigQuery, dbt and Looker.

About the role

Suits someone who can turn messy operational questions into clear measurement and reporting, then push the findings through to decisions. Part of a growing analytics group that works alongside analytics engineering and data science.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
SQL, Looker, Tableau, Databricks, dbt, Airflow, BigQuery
Posted
22 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Own analytic work end to end for operations and support leaders, from framing the question to presenting findings
  • Run high-impact ad hoc analyses and follow them through to recommendations
  • Build dashboards, metric definitions, reusable queries and documentation for self-service
  • Mentor teammates through reviews and feedback while keeping rigor and speed in balance

What they look for

  • Four or more years in data analytics, including work with operations teams
  • Advanced SQL and hands-on use of a BI tool such as Looker, Tableau, Databricks or PowerBI
  • Strong stakeholder management and the ability to self-organize a peer group for feedback

Nice to have

  • Some exposure to dbt or Airflow

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.
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Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Data Analyst, Operations 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 mid-level role. The posting asks for: four or more years in data analytics, including work with operations teams; advanced SQL and hands-on use of a BI tool such as Looker, Tableau, Databricks or PowerBI; strong stakeholder management and the ability to self-organize a peer group for feedback. Skills it names include SQL, Looker, Tableau, Databricks.

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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A consumer fintech companyRemote, United States
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