Data Analyst

Overview

As a Data Analyst, you will turn large B2C datasets into actionable marketing insights for a major sports league. You will fuse SQL and Python to build analyses, dashboards and recommendations that inform growth in new markets. You’ll work with cross-functional teams to gather requirements, monitor GTM performance, and keep stakeholders updated. This role offers a chance to shape marketing strategy through data across global markets and partner ecosystems.

Responsibilities

• Write SQL and Python to extract marketing datasets
• Translate data into clear formats with stakeholder recommendations
• Build dashboards and recurring reports on growth in potential markets
• Monitor campaign and GTM performance
• Provide regular performance updates for leaders
• Support segmentation for regional engagement
• Track consumer performance against growth goals
• Collaborate with marketing, international and data engineering teams to gather requirements
• Liaise with third-party partners on data needs and definitions

Key requirements

• Solid SQL skills with complex joins, aggregations and window functions
• Strong analytical and problem-solving abilities
• Ability to explain technical findings to non-technical audiences
• Proficiency in Python for data analysis (pandas, NumPy)
• Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Business or related field, or equivalent experience
• Hands-on experience with at least one cloud data platform (Databricks, AWS or Snowflake)
• Experience with BI/visualisation tools (Tableau, Power BI, Looker)
• Experience in marketing, CRM or customer analytics

• strong communication
• problem-solving
• stakeholder management
• SQL
• Python (pandas, NumPy)
• Databricks/AWS/Snowflake

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