Senior Data Analyst

Clair
New York, NY
Hybrid

Who this role is best for

Strong fit for candidates with full-stack data analytics experience who thrive in collaboration with product and business teams, embedded in financial systems and consumer behavior domains in New York.

Best fit for

  • Candidates with 4–5 years of professional data analytics experience and a passion for financial systems and consumer behavior
    — “4–5 years of professional experience in the data analytics field”
  • Candidates who can bridge technical data pipeline work with stakeholder engagement and strategic decision-making
    — “mixing technical proficiency with the ability to engage stakeholders across the organization”
  • Individuals who have worked with modern data tools like dbt, Snowflake, and Tableau
    — “Experience with the modern data stack, including Snowflake, dbt, Tableau”

Things to consider

  • Requires at least three days per week in-office in New York City
    — “you will be expected to come into the office at least three days a week”
  • Compensation includes equity and benefits, but base salary is fixed at $160,000-$165,000
    — “The annual base salary for this role is $160,000-$165,000”

How to stand out

  • Highlight experience with data ingestion and transformation pipelines using dbt
    — “Build efficient data ingestion and transformation pipelines using tools like dbt”
  • Showcase ability to translate business questions into SQL queries and analyze results
    — “Fluent in SQL (translating business questions to queries, understanding joins and functions, and building data pipelines)”
  • Demonstrate cross-functional collaboration through project examples or peer reviews
    — “Collaborate to brainstorm ideas, verify analyses, and review the work of your peers”
  • Emphasize experience with statistical analysis and experimentation to guide decisions
    — “Experience with experimentation and statistical analysis to guide decision-making”
  • Show interest in financial systems and how they impact consumer behavior
    — “Interest in financial systems and consumer behavior”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Leveraged data to drive user growth
  • Collaborated with cross-functional teams to address analytical questions
  • Defined and managed key metrics for strategic decisions
Typical background
4–5 years of professional experience in data analytics

Skills & requirements

Required

Data AnalysisSQLExperimentationStatistical AnalysisData ModelingDashboard Development

Preferred

SnowflakedbtTableauPythonRMachine LearningFinancial SystemsConsumer Behavior

Stack & domain

Data AnalyticsSQLExperimentationStatistical AnalysisData IngestionData TransformationData VisualizationSnowflakedbtTableauPythonRMachine LearningStatistical ModelingLeadershipCommunicationTeamworkFinancial SystemsConsumer Behavior

About the role

Original posting from Clair via Ashby

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 http://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 careers@getclair.com

Source: Clair careers (Ashby)

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