data analysisSQLdata warehouseSnowflakeBigQueryRedshiftTableauA/B testingcausal inferencedashboardreportingproduct analyticsbusiness intelligencePythonmarketing analyticsad tech
Key details
Salary
$70K – $90K
Employment type
Full-time
Seniority
Mid-level
Years experience
3-5
Location
New York, US
Full job description
Data Analyst role focused on turning complex data into actionable insights to support product and business strategy. Responsibilities include analyzing large datasets, designing and interpreting experiments (A/B testing, causal inference), building and optimizing dashboards, partnering cross-functionally, and improving data quality and analytics infrastructure. Requires 2-5+ years experience in data analytics or related fields, strong SQL skills, familiarity with data warehouses (Snowflake, BigQuery, Redshift), experience with BI tools like Tableau, solid statistics and experimental design knowledge, and ability to communicate insights effectively. Nice to have experience in marketing, advertising, ad tech, or Python scripting. Compensation ranges from $70,000 to $90,000 plus bonus and equity. Location: New York, on-site.
What you'll do
Analyze large, complex datasets to uncover trends, patterns, and actionable insights that drive measurable business impact
Design, execute, and interpret experiments (e.g., A/B testing, causal inference methods) to evaluate product changes and inform strategic decisions
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
Build, maintain, and optimize scalable dashboards and reporting solutions that enable teams to monitor performance and make data-driven decisions in real time
Partner cross-functionally with Product, Engineering, Demand, and Supply teams to define key questions, scope analyses, and influence roadmap and prioritization decisions
Translate complex data into clear, compelling narratives and recommendations tailored to both technical and non-technical stakeholders
Proactively identify opportunities to improve performance, uncover inefficiencies, and drive optimization across products and business processes
Develop a deep understanding of the business, data landscape, and key metrics to anticipate future analytical needs and surface insights ahead of stakeholder requests
Contribute to improving data quality, accessibility, and overall analytics infrastructure by collaborating with data engineering and technical teams
Requirements
2–5+ years of experience in data analytics, business intelligence, or data science
Bachelor’s degree in a quantitative or relevant field (e.g., Business, Computer Science, Economics, Statistics) or equivalent experience
Strong SQL skills and experience working with large, complex datasets
Familiarity with data warehouse architectures (e.g., Snowflake, BigQuery, Redshift)
Experience with BI tools such as Tableau (or similar)
Solid understanding of statistics and experimental design (e.g., A/B testing, causal inference)
Ability to translate complex data into clear, actionable insights and communicate effectively with both technical and business stakeholders
Experience supporting product, engineering, or revenue teams in a fast-paced environment
Experience building dashboards and scalable reporting solutions
Strong problem-solving skills, attention to detail, and ability to balance strategic thinking with hands-on execution
Nice to have: experience in marketing, advertising, ad tech, or media analytics, and/or familiarity with Python or other scripting languages
Tech stack
SQLSnowflakeBigQueryRedshiftTableauPython
Benefits
Bonus & EquityComprehensive healthcareWellness programsPaid time offCommuter benefits401k matchingSummer FridaysCatered lunchesFully stocked kitchenZogSports teamsHappy hoursCorporate retreatsRobust continuing education programManagement trainingRegular company-wide lunch and learnsWell-defined career paths
Apply now
Ready to take the next step in your career? Click the button below to continue to the application process.
