Senior Data Analyst

Posted 2 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
160K-165K Annually
Senior level
Fintech
The Role
Drive growth and product decisions through experimentation, statistical analysis, modeling, dashboards, and actionable insights. Partner with product and business teams, define key metrics, enable self-service analytics, and build data ingestion and transformation pipelines using dbt. Create visualizations and written recommendations while ensuring analytical quality. The role requires strong SQL and end-to-end data pipeline experience, with preferred familiarity in Snowflake, Tableau, Python or R, machine learning, and statistical modeling.
Summary Generated by Built In
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 America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand 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.com/about

About the Role

We’re looking for a top-tier analytics professional 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.

What You'll Do

  • Leverage data to drive user growth, identify trends, and influence product and business decisions

  • Collaborate with cross-functional business partners to address key analytical questions and evaluate hypotheses, leveraging data to drive innovation and novel solutions.

  • Define and manage key metrics that inform strategic product, growth, and operational decisions, ensuring alignment with business goals

  • Put data at the fingertips of stakeholders and enable them to independently explore and utilize data

  • Build efficient data ingestion and transformation pipelines using tools like dbt

  • Develop intuitive dashboards, memos, slides, and other visualizations that tell stories and inspire action

  • Collaborate to brainstorm ideas, verify analyses, and review the work of your peers to ensure accuracy and quality

What We're Looking For

  • 4–5 years of professional experience in the data analytics field

  • Fluent in SQL (translating business questions to queries, understanding joins and functions, and building data pipelines)

  • Experience with experimentation and statistical analysis to guide decision-making

  • Passionate about building the best version of whatever you’re working on

Nice to Have

  • Experience with the modern data stack, including Snowflake, dbt, Tableau

  • Experience with a scripting language like Python or R

  • Interest in financial systems and consumer behavior

  • Experience with machine learning or statistical modeling

  • Experience in a high-growth start-up environment

Additional Details

Location: This is a hybrid position based out of New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings.

Compensation: The annual base salary for this role is $160,000-$165,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair’s competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future.

Clair will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it.

Need more convincing?

Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair:

  • Medical, Dental, & Vision Coverage, with option to extend to your family

  • Fully-paid parental leave

  • Company-sponsored 401k, HSA, and FSA

  • Unlimited vacation for salaried roles, generous PTO for hourly roles

  • Work from home setup allowance

  • Access to your earnings every day on Clair

  • Company-sponsored short-term and long-term disability insurance

Equal Opportunity Employer Information

Clair is an equal opportunity employer and we value diversity at our company. We actively seek a diverse applicant pool and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For questions, please email us at [email protected]

Skills Required

  • 4-5 years of professional experience in data analytics
  • Fluency in SQL, including translating business questions into queries, understanding joins and functions, and building data pipelines
  • Experience with experimentation and statistical analysis to guide decision-making
  • Experience with the modern data stack, including Snowflake, dbt, and Tableau
  • Experience with a scripting language such as Python or R
  • Interest in financial systems and consumer behavior
  • Experience with machine learning or statistical modeling
  • Experience in a high-growth startup environment
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The Company
HQ: Cham
60 Employees
Year Founded: 2019

What We Do

Clair is a New York-based mission driven digital banking platform that provides American workers with fee-free access to their earnings anytime via our Clair Debit Mastercard and FDIC-insured Spending and Savings accounts. Clair’s On-Demand Pay product is embedded within the digital or physical punch clocks of our HR technology partners, where American workers clock in and out every day. By giving workers control and access to their earnings anytime, Clair is bringing financial confidence to America's workforce. Clair is trusted by leading HR tech companies such as When I Work and 7Shifts and provides a valuable free employee benefit utilized by thousands of businesses across the United States. Bank Services provided by MetaBank®, N.A., Member FDIC.

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