Senior Analytics Engineer - Marketing

• Drive significant business impact by shaping data infrastructure, developing robust data models, and promoting best practices in analytics engineering. • Collaborate closely with the Marketing team to ensure funnels are tracked and surfaced in data models and that campaigns can be evaluated using accurate data. • Create trusted, self-serve datasets and reporting layers that power Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decision-making.

• Have extensive experience in analytics engineering or related data roles with demonstrated expertise in advanced SQL, dbt, and Snowflake. • Be proficient in using BI tools such as Tableau, Looker, PowerBI, or Snowsight to deliver clear, actionable insights for business stakeholders. • Be skilled in performing data ingestion and activation using no-code tools such as Fivetran or Stitch, ensuring efficient data integration into operational systems. • Be knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively. • Be effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions. • Have experience conducting training sessions and providing informal mentorship to junior analytics team members. • Be 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. • Be comfortable working across Marketing, RevOps, Sales, Finance, and Data to align definitions, reporting logic, and ownership.

• Have experience with common GTM tools such as Salesforce, HubSpot, Marketo, Google Analytics, ad platforms, or enrichment tools. • Have experience with Omni as a BI platform specifically. • Have experience activating data from Snowflake into operational tools for audience segmentation, lifecycle programmes, or campaign optimisation. • Have experience in a payments, fintech, or merchant-of-record business.

• 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.

• Work remotely as a digital-first company, from home, from a stylish hub, or a mix of both. • Receive unlimited holidays. • Receive 4 months paid family leave regardless of gender. • Receive an annual learning fund with regular internal and external training. • Enjoy constant exposure to new challenges for personal development.

Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, Paddle is a Merchant of Record, taking away 100% of the pain of payment fragmentation. Backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North, the company serves over 6,000 software sellers in 245 territories globally.