Virtual Internships

Product Analyst

Virtual Internships

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

JuniorMid-Level

Tech Stack

MariaDBPythonSQL

About the role

  • Continuously identify and analyze user experience data across our global platform (intern onboarding to company hiring decisions).
  • Own implementation of data collection and tracking for all our products (Student Experience, Company Management, Partner Experience, Internal Systems).
  • Develop deep analytical insights around product usability by querying MariaDB using Metabase and complex SQL.
  • Work in cross-functional squads with Product, Engineering and Design to drive product execution through data-driven decisions.
  • Design and execute rapid A/B tests to validate hypotheses and iterate product improvements.
  • Present insights and recommendations to VI leadership and C-suite using high-quality visualizations.
  • Create, manage and own dashboards in Mixpanel and other tools used by product teams.
  • Build strategic relationships across VI teams and drive positive product impact through collaboration and influence.
  • Turn messy, multi-stakeholder data into clear stories that everyone can understand and act on.

Requirements

  • 2+ years of full-time analytics experience in a fast-paced, product-led growth environment.
  • Hands-on experience with statistical analysis, SQL, and tools such as Mixpanel, Google Analytics, R/Python (or equivalent).
  • Proven ability to work independently with full project ownership and minimal oversight.
  • You can write complex database queries with attention to performance.
  • Comfortable with A/B testing methodology and able to discern meaningful results.
  • Skilled in funnel analysis, cohort analysis, and other product analytics frameworks.
  • Able to synthesize data from multiple sources into actionable insights.
  • Capable of building dashboards stakeholders actually use.
  • Strong problem-solving skills and storytelling from complex datasets.
  • Quick to learn and adapt to new tech stacks and data architectures.
  • Excellent written and verbal communication skills in English.
  • You stand out if: degree (or equivalent) in analytics, statistics, or related field; experience working in a remote startup environment; instinctive knowledge of data presentation.