Verto

Data Analyst

Verto

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftBigQueryCloudNumpyPandasPythonScikit-LearnSQLTableau

About the role

  • Build a best-in-class data-led culture leveraging advanced analytics to drive strategic decisions and influence product roadmap.
  • Own full lifecycle of data analytics projects from scoping and design to execution and stakeholder communication.
  • Conceptualize, build, and iterate on advanced analytics models for LTV, retention, and churn.
  • Design, build, and maintain KPI trees and supporting dashboards to track north-star metrics and democratize access to insights.
  • Contribute to analytics engineering responsibilities, including maintenance and improvement of data models and tables using dbt.
  • Collaborate with Product, Engineering, and business teams to define data requirements, measure feature performance, and ensure data integrity.
  • Define and champion best practices in data analysis, visualization, storytelling, and overall data culture.

Requirements

  • 3+ years of professional data analytics experience or equivalent.
  • Expert proficiency in SQL, including query efficiency and optimization.
  • Expert experience with data visualization tools (e.g., Tableau, Looker, Power BI).
  • Proven experience designing and executing A/B tests and providing statistical analysis.
  • Proven experience with dbt and version control using Git.
  • Strong foundation in statistical analysis and/or machine learning principles.
  • Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Professional experience within the FinTech or Finance industry.
  • (Nice to have) Experience with Python for data analysis (Pandas, NumPy, Scikit-learn).
  • (Nice to have) Specific domain experience within the Foreign Exchange (FX) industry.
  • (Nice to have) Familiarity with the Snowflake data stack.