paddle - Senior Analytics Engineer - Marketing

• Create trusted, self-serve datasets and reporting layers in Omni that power Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decision-making. • Proactively identify and resolve data quality issues across Marketing and GTM systems, including source tracking, campaign metadata, funnel stage completeness, attribution coverage, and spend data. • Add comprehensive metadata to datasets, including documentation, lineage, ownership, definitions, data quality checks, and sensitive data masking. • Partner with Marketing stakeholders to translate business questions into robust data products, dashboards, analyses, and decision-ready insights. • Enable Marketing teams to confidently use Omni and core GTM datasets through documentation, training, office hours, and self-serve resources. • Activate data from Snowflake into operational tools where needed, supporting audience segmentation, lifecycle programmes, campaign optimisation, or GTM workflows. • We'd love to hear from you: • Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake. • Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders. • Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems. • Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively. • Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions. • Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment. • Familiar with Marketing and GTM data concepts such as campaign tracking, attribution, funnel stages, lead/account lifecycle, pipeline generation, paid media, web analytics, CRM data, and marketing automation data. • Experienced with common GTM tools such as Salesforce, HubSpot, Marketo, Google Analytics, ad platforms, enrichment tools, or similar. The exact stack is less important than the ability to understand how GTM data is created, transformed, and used. • Comfortable working across Marketing, RevOps, Sales, Finance, and Data to align definitions, reporting logic, and ownership. • Everyone is welcome at Paddle • At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group. • Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together. • Paddle Together - “None of us, is as smart as all of us” • Paddle Simply - “Simple can be harder than complex: you have to get your thinking clean to make it simple” • Paddle for others - “We can realise our wildest dreams, so long as we help enough other people to realise theirs”