Senior Marketing Analyst

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