Full-Time Senior Data Analyst

Responsibilities:

• Act as the primary data contact for the SEM team, working with the team leads and team members to gather requirements, prioritise projects and communicate progress on a regular basis.
• Contribute to reporting and ad-hoc data requests.
• Investigate performance, trends, forecasts, and bugs across multiple verticals, categories, and user journeys - reporting back to stakeholders with recommendations
• Communicate and answer questions based on your findings and recommendations to an audience of technical and non-technical stakeholders across multiple seniority levels.
• Collaborate with the SEM product manager to understand new product initiatives - supporting the technical data requirements.
• Manage time effectively and prioritise tasks based on value-driven to the business
• Strike the balance between maintaining high standards of analytical work and delivering value consistently.
• Long term goal: Accelerate the organisation from basic reporting and analysis by working alongside the planned data science team.

About You:

• At least six (6) years of data analytics experience
• At least two (2) years experience analysing SEM datasets and working with SEM stakeholders
• At least two (2) years of experience with BI visualisation tools (we use Tableau)
• At least two (2) years of experience using and querying raw data from a web analytics platform, ideally Google Analytics
• Strong SQL skills, including unnesting, window functions, unions, joins and regular expressions (regex). Experience with BigQuery is an advantage.
• Ability to translate findings into recommendations to stakeholders at multiple levels of seniority in a clear and concise manner
• Ability to translate business needs into effective visualisations and reports for business consumption
• Ability to communicate data to non-technical audiences through the use of reports and visualisations
• Strong interpersonal and communication skills
• Comfortable working remotely and collaboratively with teammates across multiple geographies and time zones