Senior Data Analyst, Blexr

• Significant experience in marketing or commercial analytics, driving data-informed decisions
• Strong proficiency in SQL and Python for data extraction, analysis, and automation
• Hands-on experience with BI tools like Looker and Tableau for dashboard development
• Excellent communication skills, with the ability to translate complex data into clear insights
• Deep understanding of marketing and commercial analytics, including campaign performance tracking and attribution modelling

Desirable

• As a Senior Data Analyst at Blexr, you will play a pivotal role in driving data-driven decision-making across the business
• You will be responsible for gathering, analysing, and interpreting complex data to provide valuable insights that shape our products and strategies
• Acting as the go-to expert for data analysis, you will work proactively with minimal guidance, ensuring high-quality deliverables that meet business needs
• You will collaborate closely with cross-functional teams, educating stakeholders on data insights and helping them make informed decisions
• Your expertise in data processes and problem-solving will enable you to identify trends, optimise performance, and contribute to the overall achievement of our goals
• You will also be instrumental in refining data methodologies, ensuring accuracy, and maintaining transparency in our reporting
• Gather, analyse, and interpret complex data to provide actionable insights that drive marketing and commercial decisions
• Design, develop, and maintain interactive dashboards and reports using BI tools like Looker and Tableau to support data-driven decision-making
• Write and optimise SQL queries and leverage Python for advanced analytics, automation, and data processing
• Support the development and optimisation of ETL pipelines, ensuring efficient data collection, integration, and storage from multiple sources, including product analytics tools
• Manage data cleaning and validation processes to ensure accuracy, consistency, and reliability across all reporting and analysis
• Collaborate with marketing, product, and commercial teams to enhance campaign performance through deep marketing and commercial analytics insights
• Leverage Google Analytics, Google Tag Manager and other web analytics tools to track user behaviour and assess the effectiveness of marketing strategies
• Work with dbt to develop data models and improve pipeline efficiency