Senior Data Analyst

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
United States

Offer summary

Qualifications:

4–5+ years of hands-on experience in data analytics., Strong proficiency with the modern data stack, especially Snowflake and dbt., Experience with scripting languages like Python or R., Fluent in SQL, with a solid foundation in experimental design and statistical analysis..

Key responsibilities:

  • Leverage data to drive user growth and influence product decisions.
  • Partner with stakeholders to answer questions and test hypotheses.
  • Define and manage key metrics aligned with business goals.
  • Build data pipelines and develop dashboards and visualizations.

Clair logo
Clair
51 - 200 Employees
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Job description

About Clair

If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck?

At Clair, we are on a mission to create financial freedom for Americas workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But were not just another digital bank or ondemand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day.

Learn more about us at getclair.comabout

About the Role

We’re looking for a toptier analytics professional based in NYC to deliver insights that drive growth. As a Senior Data Analyst at Clair, you’ll join a growing team of data practitioners who are passionate about bringing financial security to underserved communities by giving workers access to their earnings right when they need them. As a trusted thought partner to product and business teams, you’ll surface impactful insights supporting their goals. Through experimentation, analysis, modeling, and dashboard development, you’ll surface recommendations to enable Clair to reach millions of hourly workers and help them get paid on demand.

The ideal candidate will consider themselves a “full stack” data analyst with experience across the entire data pipeline, including data ingestion, processing, modeling, and visualization. This person will be comfortable with the analytics engineering workflow, mixing technical proficiency with the ability to engage stakeholders across the organization.

Key Responsibilities

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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