Purpose: The Data Specialist is responsible for driving the data agenda and vision through initiatives across performance analytics and data modelling. He/she will be responsible for media analytics for the client and support the analytics team to implement advanced data analytics requests.
Integration Services:
• Data ingestion, and mapping of data streams as proposed.
• Troubleshoot and maintenance of workspace and data streams.
• SQL querying and visualization of queried data.
• Quality Assurance of dashboards and data streams.
• Custom dimension and metric creation and associated mathematical logic.
• Data auditing.
• Research on best practice, ways of working on GitHub for complex visualization problems.
• Project management and business requirements documentation.
• Perform adhoc data analysis tasks including audience deep dives, aggregation errors and campaign performance.
• Wireframing, UI and UX design and implementation using CSS and HTML.
• Google Analytics audience creation and related audience segment
• Implement, understand and advise on data warehousing and data pipeline architecture.
Data Strategy:
• Research on upcoming data technology, predictive analytics, and associated use cases.
• Development of data roadmaps and associated client strategy.
Data Maturity:
• Develop best in class data practices.
• Unlock growth by using data to influence marketing activity for client.
• Understand and consult on audiences with relevant ad tech platforms.
• Interpret large data sets to build and apply actionable insights to our clients.
• Google Marketing Platform consultancy on client.
• Analytics configuration and setup on clients.
• Work with agnostic vendors to build out offline to online integration.
• Work on and maintain CRM solutions for clients.
• Build out robust 1st, 2nd & 3rd party data strategies for biddable teams.
• Optimise conversion rates
• Understand UX and how to drive efficiency in this space.
• Consult on how to use data to story tell.
• Drive attribution modelling projects.
The Ideal Candidate
• Minimum of 6 years of experience in media data.
• Strong analytical and numeracy abilities required.
• Skilled in industry related research and stats tools.
• A good understanding of SEO and digital marketing.
• Strong up to date understanding of tracking and tagging, attribution modelling, behavioral marketing, database modelling, retargeting, addressability, viewability, brand safety
• Strong organizational skills, multi-tasking capabilities and detail oriented.
• Good understanding of media channels, both digital and traditional
• Problem-solver
• Proven experience using data to generate insights and demonstrate their value to influence business decisions.
• High attention to detail.
Experience in:
- Facebook Paid advertising.
- Google Marketing Stack proficiency
- Programmatic acumen
- Ad tech & martech experience
- CRM implementation and analysis
- Data modelling using R/ Python /Or similar tech
- DMP and CDP understanding
- Attribution modelling
- Understanding of data compliance and data governance