Data Analyst 4

Ursus, Inc.

  • San Jose, CA
  • 3 days ago
  • $60–$70.42 Per Hour

Highlights

This role will partner closely with Product, Growth, Engineering, GTM, and Data Science teams to measure funnel metrics, build scalable reporting, and generate actionable insights that drive acquisition, engagement, monetization, and retention across Acrobat surfaces. The ideal candidate combines strong analytical skills with business acumen and can independently translate ambiguous business questions into measurable frameworks and insights.

Numbers & Facts

LocationSan Jose, CA
Salary$60–$70.42 Per Hour

Description

JOB TITLE: Data Analyst 4
LOCATION: San Jose, CA, Hybrid (Tues, Wed, Thurs)
DURATION: 4 months
RATE RANGE: $60 - $70.42/hr.

Duties:
We are seeking a highly analytical person to support the Biz Pro and Consumer Analytics team. This role will partner closely with Product, Growth, Engineering, GTM, and Data Science teams to measure funnel metrics, build scalable reporting, and generate actionable insights that drive acquisition, engagement, monetization, and retention across Acrobat surfaces.

The ideal candidate combines strong analytical skills with business acumen and can independently translate ambiguous business questions into measurable frameworks and insights.
  • Analyze Acrobat funnel data (traffic trial/download conversion retention) across surfaces, geos, and plan types to identify trends, anomalies, and opportunities
  • Investigate "why did this metric move" questions through rigorous segmentation and root-cause analysis
  • Build cohort and funnel-conversion analyses beyond standard weekly reporting
  • Translate findings into clear, actionable recommendations for product, marketing, and leadership stakeholders
  • Query and consume data from existing pipelines/warehouses, flagging data-quality issues as needed

Skills:
  • Strong SQL for exploratory analysis
  • Comfort with large-scale data warehouses such as Databricks
  • Solid grounding in dashboarding, BI reporting, funnel/cohort analysis, and statistical testing
  • Ability to work independently against ambiguous, open-ended questions
  • Strong written and verbal communication for presenting findings to non-technical stakeholders

Education:
  • 5-7 years of experience in data science or analytics, ideally in subscription, self-serve, or product-led growth businesses
  • Bachelor's degree in a quantitative field (Statistics, Computer Science, Economics, Mathematics, Data Science, or related) required
  • Master's degree in a quantitative or business analytics field preferred


BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
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