- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 3 weeks ago
- Work mode
- Work from home
- Resume
- Required to apply
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
About Paddle
Paddle is revolutionizing payment infrastructure for digital product companies by serving as a Merchant of Record, eliminating the complexities of fragmented payment systems. Supported by prominent investors and serving over 6000 software sellers across 245 territories worldwide, we provide a faster, safer, and more cost-effective payment solution.
Role Overview
We are looking for a Senior Analytics Engineer to significantly impact our business by shaping data infrastructure, crafting reliable data models, and fostering best practices in analytics engineering such as data quality, documentation, and scalable architectures. You will work closely with the Marketing team to ensure funnel tracking and data accuracy for campaign evaluation.
Key Responsibilities
- Develop self-service datasets and reporting layers within Omni to support marketing performance assessment, campaign reporting, attribution, funnel monitoring, and investment decisions.
- Proactively identify and resolve data quality issues related to marketing and GTM systems—including source tracking, campaign metadata, funnel completeness, attribution, and spend data.
- Enhance datasets with comprehensive metadata covering documentation, lineage, ownership, definitions, data quality validation, and sensitive data masking.
- Collaborate with marketing stakeholders to convert business questions into robust data products, dashboards, analyses, and insightful reports.
- Empower marketing teams to use Omni and core GTM datasets effectively through documentation, training, office hours, and self-service resources.
- Leverage Snowflake data for operational use cases such as audience segmentation, lifecycle programs, campaign optimization, and GTM workflows.
Candidate Profile
- Strong background in analytics engineering or related data roles, with advanced proficiency in SQL, dbt, and Snowflake.
- Experience utilizing business intelligence tools such as Tableau, Looker, PowerBI, or Snowsight to produce actionable insights.
- Competence in no-code data ingestion and activation tools like Fivetran or Stitch for efficient integration into operational systems.
- Expertise in managing metadata, data documentation, quality checks, and sensitive data protection.
- Ability to collaborate effectively with diverse stakeholders, understand their data requirements, and deliver meaningful solutions.
- Proven experience in conducting trainings and mentoring junior analytics professionals, promoting a culture of knowledge sharing.
- Familiarity with marketing and GTM data concepts, including campaign tracking, attribution, funnel stages, lifecycle management, pipeline generation, paid media, web analytics, CRM, and marketing automation data.
- Understanding of common GTM tools such as Salesforce, HubSpot, Marketo, Google Analytics, advertising platforms, and enrichment tools.
- Adept at working across teams including Marketing, RevOps, Sales, Finance, and Data to align definitions, reporting standards, and ownership.
Inclusion and Values
Paddle embraces diversity and inclusion by welcoming perspectives regardless of background, appearance, or education. We are committed to supporting our employees throughout the application process and workplace accommodations. Our core values include collaboration, simplicity, and helping others achieve their dreams.
Why Join Us
We offer a collaborative, transparent, and respectful culture with a digital-first approach enabling remote or hub-based work. Benefits include unlimited vacation, gender-neutral family leave of 4 months paid, investment in continuous learning, annual learning funds, and access to both internal and external training opportunities.