Senior Data Analyst
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Role details
Tech stack
Job description
- 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, 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.
Requirements
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., * 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
Benefits & conditions
Compensation: The annual base salary for this role is $150,000-$160,000. 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., 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, Compensation Range: $150K - $160K
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Prepare application
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