The Senior Marketing Analyst will act as the analytical backbone of the Central Marketing team, turning complex marketing and customer data into clear, actionable insight that shapes budget decisions, campaign strategy, and channel performance across DAZN's markets. This role owns the reporting infrastructure that stakeholders rely on to understand marketing effectiveness, working closely with performance marketing, brand, and data engineering teams to ensure decisions are grounded in reliable, well-modelled data. The successful candidate will combine deep technical fluency in modern data tooling with a strong commercial understanding of marketing metrics, acting as a trusted advisor to senior stakeholders on what the numbers mean and what to do about them.
- Design, build, and maintain dashboards and reporting suites in Looker, ensuring marketing performance data is accurate, timely, and accessible to stakeholders across the business
- Write and optimise complex SQL queries in Snowflake to extract, transform, and model marketing and customer data from DAZN's data warehouse
- Use Deepnote (or similar notebook environments) for deeper ad-hoc analysis, exploratory data work, and building repeatable analytical workflows
- Query and interpret the GA4 export dataset in BigQuery, working directly with the raw event-level schema to support campaign measurement, attribution, and web/app behavioural analysis
- Build and maintain Excel-based models and analyses where needed, including budget summaries, ad-hoc calculations, and stakeholder-ready outputs
- Partner with performance marketing, brand, and CRM teams to define and track key marketing metrics (e.g. CAC, ROAS, CPA, LTV, conversion rates)
- Translate business questions into structured analyses, presenting findings and recommendations clearly to non-technical stakeholders, including senior leadership
- Support budget planning and allocation decisions with data-driven modelling across markets and channels
- Maintain data governance standards for marketing datasets, including documentation of metric definitions and data lineage
- Identify opportunities to automate recurring reporting and improve the efficiency of the analytics function
- Collaborate with data engineering to influence the underlying data model where it affects marketing reporting needs
- Mentor junior analysts on best practices in SQL, dashboarding, and analytical rigour
- Strong Looker skills, including familiarity with LookML (Looker's proprietary modeling language, not machine learning) — dashboard design and troubleshooting; full LookML fluency can be developed on the job
- Strong Snowflake proficiency: writing efficient, well-structured SQL against large-scale datasets; understanding of warehouse performance and cost considerations
- Working knowledge of Deepnote (or comparable notebook tools such as Jupyter): comfortable using Python/SQL in a notebook environment for analysis beyond dashboarding
- Confident with Google Analytics and Excel
- Solid grounding in marketing metrics and measurement frameworks across paid, owned, and earned channels
- Ability to communicate technical findings to non-technical audiences, including senior stakeholders
- Experience working in fast-paced, multi-market organisations is a plus, ideally within media, streaming, or sports/entertainment
- Comfortable balancing competing stakeholder priorities and managing ambiguity
Benefits include access to DAZN, 25 days’ annual leave (increasing by 3 days after 3 years), private medical insurance, life assurance, pension contributions up to 5%, family friendly community including enhanced parental leave, electric vehicle benefit option, learning and development resources, opportunity for flexible working, and access to our internal speaker series and events.