Digital Analytics Manager
2 months ago
**Company Description**
We’re looking for a talented and enthusiastic Digital Analytics Manager to join our data team and ensure we collect high quality, accurate and rich data to fuel our data pipeline, flowing downstream into our BI, deep-dive analyses and ML predictive models. This role will also include liaising with internal and external stakeholders to manage tracking implementations for multiple use cases, from Analytics to Performance Marketing.
This is a fantastic opportunity for a technically-minded individual with a love of tracking implementations to be an integral part of a thriving, profitable business, and to help build on a world-class data infrastructure that is transformational for our people and our customers.
We’re looking for a hands-on, highly technical and analytically minded individual who can work cross-functionally with the product team, tech team, marketing team and data team to:
- Identify what and how we should be collecting data (client-side, server-side) to support deep understanding of customer behavior
- Devise the technical specifications for data collection, writing and QA-ing code where needed
- Oversee the tracking implementation and QA-ing process end to end
- Implement processes to ensure tracking stays robust and up to date
- Maintain compliance and ethical values with regards to user behavioral tracking
- Ensure our data collection keeps up with the business
Key Responsibilities
- Take ownership of all tag implementations in GTM and Server side GTM to feed data to tools and partners such as Snowplow, Google Analytics, Firebase, Criteo, Epsilon.
- Working closely with Marketing teams to ensure efficient and well structured tracking code
- Devising and owning new tracking specifications to be implemented
- Managing all project correspondence with stakeholders
- Experience of managing tracking implementation projects
- Set the direction of our digital analytics strategy and enforce best practices
- Audit the existing client-side/server-side data collection setup, identifying gaps in tracking and processes, identify inefficiencies and opportunities to improve the richness and quality of data collection at every step of the process
- Responsible for the end to end delivery of tracking projects, this encapsulates data capture, testing/validating results and surfacing data in the data warehouse
- Maintaining and creating documentation of tracking and processes
- Maintaining our tracking architecture to ensure we follow best practices and reduce tech debt
- Set up tracking monitoring processes to ensure we minimize downtime and preserve high quality data
- Administration and maintenance of various tracking related tools including -but not limited to
- Snowplow, GA4, GTM, OneTrust
The Deal Breakers
- Expert technical knowledge of Google Tag Manager and its ecosystem
- Proven experience setting up and managing complex, large-scale implementations across web and mobile
- Experience implementing or working with clickstream data
- Some experience with SQL
- Comfortable with exploring large datasets, with an emphasis on event data to ensure our tracking is meeting downstream requirements
- Good understanding of the flow of data from data collection to reporting and insights and the impacts tracking can have on business processes
- Highly competent in translating and presenting complex technical information to a less informed audience
And you are
- A doer Willing to step outside your comfort zone to broaden your skills and learn new technologies
- Meticulous when it comes to devising processes, documentation and QA work
- Proactive and highly organized, with strong time management and planning skills
- Approachable personality, happy to help resolve ad-hoc unscheduled problems
- Proactive, self-starter mindset; identifying elegant solutions to difficult problems and being able to suggest new and creative approaches
- Great time management skills with the ability to identify priorities
**Qualifications**
Nice to have
- Experience working with Snowplow or other event-level analytics platform is a big plus
- Experience setting up Server Side Google Tag Manager to reduce page load times
- Exposure to cloud based data warehousing and modelling
- Experience setting up analytics integrations with AB testing platforms (we use Optimizely)
- Knowledge or experience of server-side tracking implementation
- An engineering mindset looking to leverage modern tools and technologies to drive efficiencies
- Exposure to Python/R or similar procedural programming language
Our data stack
We collect data from dozens of data sources, ranging from transactional data, availability data, payments data, customer event-level data, voice-of-customer data, third party data and much much more. Our historical data runs into tens of billions of records and grows at a rate of tens of millions of records every day. Our data is extremely varied, some being very finely-grained, event-level data, other
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