Descrizione:
Position Overview We are looking for an experienced and autonomous Analytics Engineer to join our AI & Data function. This role sits at the critical intersection between our Data Management team—responsible for ingesting raw data into our Databricks-based data platform—and our Analytics team—responsible for insights and reporting. You will take raw data, at various stages of conformance, and transform it into trusted, analytics‑ready datasets—building KPIs, semantic models, and data products that feed our presentation and reporting layers. Working across a wide variety of data domains (marketing, product usage, customer care, revenue, and more), you will need to be intellectually curious, self‑directed, and proactive: comfortable exploring unfamiliar data landscapes with limited guidance, engaging business partners to understand what the data really means, and making sound judgement calls independently. You will report to the Director of Analytics and work closely with data engineers, analytics engineers, and business stakeholders across the group. Key Responsibilities Design and build robust dbt models on Databricks that transform raw, ingested data into clean, conformed, and analytics‑ready datasets. Define and implement KPI logic in collaboration with business and analytics stakeholders, ensuring consistent definitions across domains. Maintain and evolve the semantic/presentation layer, ensuring data products are reliable, tested, documented, and performant. Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation. Independently onboard new data domains (e.g., marketing attribution, product usage, customer care, subscription data) with limited guidance—exploring the data, understanding its structure and meaning, and deciding how to best model it. Proactively engage business partners and domain owners to understand context, validate assumptions, and align on KPI definitions. Identify data quality issues early and work with the Data Management team to resolve them at source. Act as the connective tissue between data engineers and analysts: translating analytical needs into engineering tasks, and surfacing data realities back to the business. Work with the Analytics team to ensure the presentation layer meets reporting and self‑service needs. Contribute to data governance: naming conventions, lineage documentation, and model cataloguing. Support the broader team in extending analytics coverage to new brands and domains over time. Required Experience / Skills 5+ years of experience in analytics engineering, data engineering, or a closely related data role. Strong, hands‑on proficiency with dbt (dbt Core or dbt Cloud) — this is a core requirement. Experience working on Databricks (or a comparable cloud data platform such as Snowflake or Big Query). Solid understanding of dimensional modelling, data vault, or similar data warehousing patterns. SQL excellence: complex transformations, window functions, query optimisation. Proven ability to work autonomously across multiple data domains simultaneously, figuring out unfamiliar data with limited documentation. Strong analytical mindset: able to interrogate data critically, spot anomalies, and validate logic end‑to‑end. Excellent communication skills — comfortable talking directly with business stakeholders to elicit requirements and explain data concepts. Experience working across diverse data domains (e.g., marketing, product analytics, customer care, financial/subscription data). Nice to Have Familiarity with Saa S GTM tooling and metrics—e.g., Amplitude, Hub Spot, or similar marketing and product analytics platforms. Experience with Python for data transformation or pipeline orchestration. Exposure to BI/visualisation layers (e.g., Looker, Tableau, Power BI) and how they consume semantic models. Experience in a multi‑brand or portfolio company context. Background in a consulting or contractor capacity: comfortable delivering impact quickly in complex environments. Right to Work At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. We are unable to support relocation packages or sponsorship visas. Everyone is welcome here. Diversity & Inclusion are at our core. We do not tolerate intolerance. #J-18808-Ljbffr