Clair Senior Data Analyst at Clair responsible for delivering insights to drive growth and support product and business teams. Works across the data pipeline including ingestion, processing, modeling, and visualization.
Responsibilities
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.
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
Qualification
Things We Consider a PlusExperience with the modern data stackAdditional DetailsLocation
Required
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
Things We Consider a Plus
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.
Preferred
Experience with modern data stack including Snowflake, dbt, Tableau
Experience with scripting languages like Python or R
