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 RoleAs an Analytics Engineer, you'll sit at the intersection of engineering and analytics, helping build Clair's data pipelines, modeling clean and trustworthy data sets, and collaborating with stakeholders across the organization (Product, Operations, and Finance, to name a few). You'll play a key role in improving our data quality and contributing to our data architecture as it evolves. Your primary stakeholder will be the analytics team. Partnering with data analysts and data scientists, you'll help design, develop, and deliver well-modeled, cost-efficient data models that power the analyses driving decision-making at Clair.
Some examples of what you'll do…Model data from our products into flexible, trusted analytic reporting tables
Support the data science team by building model feature pipelines
Help build new data management processes to maintain the integrity of production reporting environments
Help identify and optimize Snowflake computing cost bottlenecks
Contribute to and help maintain a code style guide across our dbt project(s)
Contribute to Clair's ELT pipeline and help apply best practices in modeling, testing, documentation, and observability
Build and maintain data models using dbt that power analytics and business decisions
Ingest and model data from new source systems to incorporate them into the data warehouse
Partner with analysts, engineers, and business stakeholders to help define metrics, data definitions, and governance standards
Support data governance, access control, and monitoring efforts across the data stack
Identify data quality issues and help resolve root causes
Contribute ideas and input as we scale the data function
Occasionally support the analytics team with ad-hoc or high-priority analysis
3-4 years of professional experience in the data analytics field
Strong SQL proficiency
1-2 years hands-on experience modeling data with dbt in a production environment
Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
Familiarity with cloud data loading tools (e.g., Fivetran, Airbyte, Airflow)
Understanding of data modeling concepts (dimensional modeling, Kimball, etc.)
Experience with a scripting language like Python or R
Comfortable working in — or excited to work in — a high-growth start-up environment
Strong communication skills, with the ability to translate technical work into clear business value
Location: This is a hybrid position based in 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 $140,000 - $150,000. 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
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
- 3-4 years of professional experience in data analytics
- Strong SQL proficiency
- 1-2 years of hands-on experience modeling data with dbt in a production environment
- Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Familiarity with cloud data loading tools such as Fivetran, Airbyte, or Airflow
- Understanding of data modeling concepts, including dimensional modeling and Kimball methodology
- Experience with a scripting language such as Python or R
- Comfort working in or enthusiasm for a high-growth startup environment
- Strong communication skills and ability to translate technical work into clear business value
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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