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Data Analyst Strategic Analytics at Squarespace , NY

Job in New York, New York County, New York, 10261, USA
Listing for: Itlearn360
Full Time position
Listed on 2026-01-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 85500 - 140000 USD Yearly USD 85500.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst, Performance & Strategic Analytics at Squarespace New York, NY
Location: New York

Overview

Data Analyst, Performance & Strategic Analytics job  York, NY. We’re looking for a Sales Analyst to join our team. You will be the go‑to data expert for our Sales Development and Customer Success teams, partnering with these teams to uncover key insights that directly inform how we attract and support our customers. You will translate broad business questions into clear data explorations, turning complex findings into simple, relevant recommendations for non‑technical partners.

You will report to the Manager, Performance & Strategic Analytics in our New York headquarters. This is a hybrid 3‑day in‑the‑office position.

Responsibilities
  • Partner with the Sales team to establish goals, define metrics and measurements, and develop dashboards and reporting for monitoring performance.
  • Partner with different Analytics, Product, and other relevant teams to combine insight and translate into data‑driven methods to help identify new leads for our Sales team.
  • Translate broad questions into plans for research and discovery, perform data exploration, and create narratives from data insights for non‑technical team members that cater to clear storytelling and applicable recommendations.
  • Create all the technical implementations and documentation associated with the dashboards and work toward 100% accuracy.
Qualifications
  • 2+ years of work experience in process execution, business intelligence, dashboarding, reporting, or data analysis.
  • 2+ years of experience manipulating large datasets using SQL and DBT.
  • 1+ years of experience with Looker, Amplitude, Hex, Tableau, and comparable data visualization tools.
  • Bachelor’s degree in a quantitative discipline (computer science, statistics, applied mathematics, operations research, engineering, economics, or similar) is a good to have.
  • Passion for getting deep into the weeds with data, to identify and understand edge cases and how to best represent them.
  • The ability to succeed in ambiguous problem spaces.
  • Experience building relationships with teammates and helping the team to make decisions at a variety of levels.
  • Experience in eCommerce and Sales.
  • Experience with different data science concepts such as clustering and regression.
  • Python or R experience.
Benefits & Perks
  • A choice between medical plans with an option for 100% covered premiums including medical, dental, and vision.
  • Supplemental Life and Disability Insurance plans.
  • Fertility and adoption benefits.
  • Headspace mindfulness app subscription.
  • Global Employee Assistance Program.
  • Retirement benefits with employer match.
  • Flexible paid time off.
  • 12 weeks paid parental leave and family care leave.
  • Pretax commuter benefit.
  • Education reimbursement.
  • Employee donation match to community organizations.
  • 8 Global Employee Resource Groups (ERGs).
  • Dog‑friendly workplace.
  • Free lunch and snacks.
  • Private rooftop.
  • Hack week twice per year.
Compensation

Cash Compensation Range: $85,500 - $140,000 USD. The base salary for this position will vary based on relevant skills, experience, and location. In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary.

Equal

Employment Opportunity Statement

Squarespace is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We do not discriminate against employees based upon racial or ethnic origin, or for any individual’s association with any group or organization.

We also work toward the same for all our employees.

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