Principal Analytics Engineer

Posted 23 days agoViewed

💎 Seniority level: Principal, 5+ years

📍 Location: UK and Europe, UK/European

🔍 Industry: SaaS

🏢 Company: Ceros👥 101-250💰 $100,000,000 Private almost 5 years agoAdvertising Content Creators Content Marketing Graphic Design Software

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLETLProduct AnalyticsAnalytical SkillsData visualizationStakeholder managementData modelingData analyticsA/B testing

Requirements:

5+ years of experience in analytics engineering, product analytics, or strategic data roles in SaaS or tech companies.
Expert SQL skills and experience modeling data for BI tools (Metabase, Looker, Mixpanel).
Strong stakeholder management skills; ability to frame technical work in business terms.

Responsibilities:

Collaborate with cross-functional teams to define key business questions and the data required to answer them.
Structure and model datasets to enable analysis tied directly to business decisions and outcomes.
Lead insight-generation efforts, turning raw data into clear recommendations for action.

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🔥 Principal Analytics Engineer

Posted about 15 hours ago

📍 UK, Europe

🔍 SaaS or tech

🔧 Requirements

5+ years of experience in analytics engineering, product analytics, or strategic data roles in SaaS or tech companies.
Proven ability to translate business needs into data models, dashboards, and actionable recommendations.
Expert SQL skills and experience modeling data for BI tools.
Strong stakeholder management skills.
Highly organized with the ability to prioritize multiple initiatives.
Background in Revenue Operations, Product Analytics, or Growth Analytics.
Experience integrating and analyzing data from HubSpot, Mixpanel, and customer engagement platforms.
Hands-on experience with AI-driven analytics and NLP-based insight extraction.
Familiarity with Python for data automation or lightweight modeling tasks.

💡 Responsibilities

Collaborate with teams to define key business questions and data needs.
Structure and model datasets for analysis.
Lead insight generation, turning data into recommendations.
Leverage AI/NLP techniques to extract insights.
Identify patterns in customer behavior and product usage.
Develop dashboards and reports.
Analyze sales and pipeline data.
Partner with RevOps and Sales leadership.
Support A/B testing and user behavior studies.
Build models to assess initiative effectiveness.
Develop self-service data tools and training.
Lead workshops and promote data literacy.

SQLBusiness IntelligenceData AnalysisSalesforceTableauProduct AnalyticsData engineeringAnalytical SkillsData visualizationStakeholder managementData modelingData analyticsData managementCustomer SuccessSaaSA/B testing

Posted about 15 hours ago

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