Senior Analytics Engineer – Marketing

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

info

SQL

Tableau

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Logo of Paddle

Paddle

201 - 500 employees

☁️ SaaS

💳 Fintech

🤝 B2B

💰 Debt Financing on 2022-05

SaaS • Fintech • B2B

Paddle is a comprehensive merchant of record and payment solution specifically designed for SaaS businesses. It provides a complete suite of products and services including billing, subscription management, pricing strategies, tax compliance, fraud protection, and more. Paddle helps software companies manage payments, streamline billing, and enhance customer retention with tools like ProfitWell Metrics and Price Intelligently. By handling sales taxes, fraud liability, and all aspects of the billing process, Paddle enables SaaS businesses to focus on growth without worrying about the complexities of global compliance.

📋 Description

• drive significant business impact by shaping our data infrastructure • developing robust data models • promoting best practices in analytics engineering • collaborate closely with the Marketing team • ensure that funnels are being tracked and surfaced in our data models • evaluate Marketing campaigns using accurate data • create trusted, self-serve datasets • proactively identify and resolve data quality issues • add comprehensive metadata to datasets • partner with Marketing stakeholders to translate business questions into robust data products • enable Marketing teams to confidently use Omni and core GTM datasets • activate data from Snowflake into operational tools

🎯 Requirements

• Extensive experience in analytics engineering or related data roles • demonstrated expertise in advanced SQL, dbt, and Snowflake • Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) • Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch) • Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively • Effective at collaborating closely with diverse stakeholders • Experienced in conducting training sessions and providing informal mentorship to junior analytics team members • 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

🏖️ Benefits

• unlimited holidays • 4 months paid family leave regardless of gender • investment in learning • personal development via constant exposure to new challenges • annual learning fund • regular internal and external training

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