Data Analyst with Snowflake

Analyse large datasets to identify key trends in Food & Drink, sustainability, and consumer behaviour.
Translate data into clear insights and actionable recommendations for internal stakeholders and clients.
Create visualisations and dashboards to present complex data in an accessible way.
Support editorial teams with insights on past and emerging market trends.
Identify growth opportunities and market signals based on data analysis.
Collaborate with global data teams to ensure consistency and accuracy of analysis across different datasets.
Work closely with business stakeholders to deliver data-driven insights supporting strategic decisions.
Document analytical processes and datasets, ensuring reusable code and structured workflows.
Track work and tasks using Jira and deliver projects in line with defined timelines.
Contribute to a culture of knowledge sharing and collaboration across global teams.

2 - 3+ years of experience in a Data Analyst or similar analytical role, working with large datasets using SQL and Python to extract insights and identify meaningful trends.
Practical experience working with data warehouses such as Snowflake, BigQuery, Databricks or similar platforms.
Ability to transform complex datasets into clear insights and compelling data stories, supported by visualisations created in tools such as Tableau, Looker, or Power BI.
Strong analytical mindset with the ability to simplify complex problems and focus on the most relevant signals in the data.
Experience using version control tools such as Git / GitHub in analytical or data projects.
Familiarity with AI coding tools such as Copilot, ChatGPT, or Cursor to support data analysis workflows.
Experience or strong interest in the Food & Drink industry and understanding of consumer or market trends.
Strong communication and collaboration skills, with the ability to work effectively in international and cross-functional teams.
Proactive, curious, and solution-oriented approach to problem solving, with the ability to translate analytical work into actionable recommendations.

Experience with statistical modelling or forecasting (e.g., regression, A/B testing)
Experience working with sustainability or beverage-related datasets
Familiarity with dbt or modern data transformation tools
Experience working in Agile environments using Jira
Knowledge of data quality monitoring or testing practices

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