Data Analyst

hace 2 semanas

Barcelona, Barcelona, España Preply A tiempo completo

We are seeking a talented Data Scientist to join our growing Data Team at Preply. As a key player, you will be embedded in cross-functional teams, partnering with Product Managers, Marketing, Tech Leads, and the Data Strategy team.

Your primary focus will be on developing and implementing data frameworks to enhance our organic growth strategies, including SEO, CRM, and Referral programs.

You will drive virality and word-of-mouth growth by analyzing user behavior and helping teams capitalize opportunities where we have high user engagement.

Additionally, you will generate strategic insights to shape top-level roadmaps, collaborate with teams to define KPIs for organic growth, and maintain dashboards to monitor performance.

Some of the areas you will cover include:

  • Collecting, organizing, and interpreting trends, patterns, and correlations from large SEO data sets (internal and external data).
  • Analyzing cross-channel data, particularly in SEO and SEM, to optimize marketing efficiency and prevent cannibalization.

To succeed in this role, you will need:

  • 3-5 years' experience in Data Science/Analysis, focusing on data analytics for business or product growth.
  • Previous experience in fast-paced Technology or Management Consulting companies.
  • Proven ability to work with product teams, run AB experiments, and identify product optimization opportunities.
  • Strong background in quantitative fields (e.g., statistics, mathematics).
  • Proficient coding skills in SQL and Python.
  • An outcome-driven approach with a passion for problem-solving and exploring new ideas.
  • A creative mindset with a proactive attitude, along with stakeholder management and influencing skills.
  • Fluency in English and a willingness to work on a global product with a multicultural team.

Nice to have:

  • Experience with CRM tools (e.g., Braze) and referral programs.
  • Knowledge of SEO and third-party tools (e.g., Google Search Console, Ahrefs, Adwords).
  • Familiarity with predictive modeling.
  • Experience in digital businesses (B2B, B2C, B2B2C).
  • Knowledge of Looker, Amplitude, Snowflake, and growth/retention analytics frameworks.

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