
Data Transformation Specialist
1 week ago
**Job Description**
We are seeking a highly skilled Data Transformation Specialist to join our team. In this role, you will play a key part in transforming our data infrastructure and ensuring that datasets for self-service and reporting are available at the highest quality.
The ideal candidate will have strong proficiency in using Google Analytics, including expertise in both Universal Analytics and GA4. They will also have extensive experience as a Data Analyst with a focus on Universal Analytics, GA4, and clickstream analysis.
In this dynamic and collaborative environment, you will work closely with cross-functional teams to provide analytical support, answer ad hoc data-related queries, and contribute to data-driven decision-making processes.
Key Responsibilities
- Leverage comprehensive knowledge of Universal Analytics and GA4 to track, measure, and report on key performance indicators (KPIs) and metrics that align with business objectives.
- Collaborate with stakeholders to develop a comprehensive migration plan from UA to GA4, including data mapping, tracking implementation, and data validation strategies.
- Build a behavioural mesh in BigQuery by analysing the existing UA implementation and map data points to their corresponding counterparts in GA4, ensuring accurate and consistent tracking of key metrics and events.
- Develop and execute thorough testing plans to validate the accuracy and integrity of migrated data in GA4, identifying and resolving any discrepancies or issues that arise during the migration process.
- Develop visually appealing and insightful dashboards and reports using data visualisation tools (e.g., Looker, Looker Studio) to effectively communicate findings and trends to stakeholders.
Requirements
- Strong proficiency in using Google Analytics, including expertise in both Universal Analytics and GA4.
- Extensive experience as a Data Analyst with a focus on Universal Analytics, GA4, and clickstream analysis.
- At least 4+ years of proficiency in SQL for data extraction, manipulation, and analysis using any of Data Warehouse tools such as BigQuery, Snowflake, or Redshift.
- Strong analytical and problem-solving skills with the ability to extract insights from complex data sets.
- Excellent communication and presentation skills, with the ability to effectively convey complex data findings to non-technical stakeholders.
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