Senior Data Analyst - Beauty

at  THG

ABOUT THG

We’re a fast-moving, global technology group that specialises in taking brands direct to consumers. We’re home to a portfolio of leading brands and sites including Myprotein, ESPA, LOOKFANTASTIC, and Cult Beauty, all of which are powered by our fully integrated digital commerce ecosystem, THG Ingenuity.
We handle everything in-house, including technology, content creation, e-commerce, marketing, manufacturing, new product development, and logistics. This comprehensive approach ensures we can fully realise our vision and maintain our leadership in a rapidly evolving global industry.

REQUIREMENTS:

• 3-5 years experience in an Analyst role
• Data focused professional with an analytical mind-set, quick to grasp the fundamentals of a business and have strong communication skills
• Demonstrable experience and knowledge of data analysis, data modelling and quality assurance techniques
• Advanced proficiency with SQL - (required)
• Advanced proficiency with Excel - (required)
• Advanced proficiency with Power BI - (required)
• Experience with programming languages (Python/R) – (advantageous)
• Experience working within a fast-paced environment with conflicting priorities
• Ability to work autonomously, initiate and deliver change; have a proactive and creative approach to problem solving

ABOUT THE ROLE

The Senior Data Analyst will report into the Head of FP&A in the Beauty division, you will also partner up with other functions outside of finance and play a pivotal role in the way data is used within the Beauty division. In order to really know what drives the business, you will define ways to measure and report on the key indicators of it.
The role involves interaction across all key business functions; from trading and marketing teams, through to supply chain and merchandising teams. Ensuring that decisions being made across the business are driving the desired commercial outcome.

RESPONSIBILITIES:

• Play a lead role on embedding analytics products in processes and decisions
• Owning the data strategy and implementing change
• Building bespoke automated reports in Power BI
• Automating reporting by writing and reviewing SQL
• Create predictive forecasts, such as anticipated revenue growth
• Playing a pivotal role between finance teams and BI / Data teams
• Ensuring deliverables and written communications are accurate, succinct, and clear
• Assisting with troubleshooting data issues, validating result sets, recommending, and implementing process improvements