Paddle

3 weeks ago

Senior Analytics Engineer - Marketing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Drive analytics engineering that improves Marketing measurement and decision-making. Build trusted, self-serve datasets and reporting layers in Omni to power performance reviews, attribution analysis, funnel health monitoring, and investment insights. Resolve data quality issues, manage rich metadata with lineage and masking, and partner with Marketing to translate business questions into data products. Enable self-serve adoption through training and office hours, and activate Snowflake data into operational workflows.

Location: United Kingdom, Portugal, Ireland

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Create trusted, self-serve datasets and reporting layers in Omni for Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decisions.
•Identify and resolve data quality issues across Marketing and GTM systems, including source tracking, campaign metadata, funnel completeness, attribution coverage, and spend data.
•Add and maintain comprehensive dataset metadata, including documentation, lineage, ownership, definitions, data quality checks, and sensitive data masking.
•Translate Marketing stakeholder 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 Snowflake data into operational tools as needed.

Pay and Benefits

Perks:Unlimited HolidaysParental LeaveLearning Budget

Key Requirements

•Extensive experience in analytics engineering or related data roles, with demonstrated advanced SQL, dbt, and Snowflake expertise.
•Proficiency using BI tools such as Tableau, Looker, PowerBI, or Snowsight to deliver actionable insights.
•Experience with data ingestion and activation using no-code tools such as Fivetran or Stitch.
•Strong knowledge of metadata management, documentation, data quality checks, and sensitive data masking.
•Ability to collaborate with stakeholders and translate Marketing/GTM business questions into decision-ready data products and dashboards.

Experience:Marketing analyticsGTMData qualityAttributionFunnel tracking

Skills:Stakeholder collaborationMentorshipTrainingData quality focusCommunication

Tech Stack:OmniSQLDbtSnowflakeTableauLookerPowerBISnowsightFivetranStitchSalesforceHubSpotMarketoGoogle AnalyticsCRMMarketing automationEnrichment tools

Company Brief

Paddle

Paddle is a merchant-of-record platform that handles payments, billing, taxes, fraud and compliance for SaaS and digital product companies, enabling sellers to manage global commerce and subscriptions through a single payments infrastructure.

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: London, United Kingdom

Founded: 2012

Glassdoor: 3.3

Website LinkedIn Glassdoor

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Paddle

3 weeks ago

Senior Analytics Engineer - Marketing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United Kingdom, Portugal, Ireland

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Create trusted, self-serve datasets and reporting layers in Omni for Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decisions.
•Identify and resolve data quality issues across Marketing and GTM systems, including source tracking, campaign metadata, funnel completeness, attribution coverage, and spend data.
•Add and maintain comprehensive dataset metadata, including documentation, lineage, ownership, definitions, data quality checks, and sensitive data masking.
•Translate Marketing stakeholder 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 Snowflake data into operational tools as needed.

Pay and Benefits

Perks:Unlimited HolidaysParental LeaveLearning Budget

Key Requirements

•Extensive experience in analytics engineering or related data roles, with demonstrated advanced SQL, dbt, and Snowflake expertise.
•Proficiency using BI tools such as Tableau, Looker, PowerBI, or Snowsight to deliver actionable insights.
•Experience with data ingestion and activation using no-code tools such as Fivetran or Stitch.
•Strong knowledge of metadata management, documentation, data quality checks, and sensitive data masking.
•Ability to collaborate with stakeholders and translate Marketing/GTM business questions into decision-ready data products and dashboards.

Experience:Marketing analyticsGTMData qualityAttributionFunnel tracking

Skills:Stakeholder collaborationMentorshipTrainingData quality focusCommunication

Tech Stack:OmniSQLDbtSnowflakeTableauLookerPowerBISnowsightFivetranStitchSalesforceHubSpotMarketoGoogle AnalyticsCRMMarketing automationEnrichment tools

Company Brief

Paddle

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: London, United Kingdom

Founded: 2012

Glassdoor: 3.3

Website LinkedIn Glassdoor