Data Engineer

Sage

Newcastle upon Tyne

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Sage is a global company with a local heart. The market leader for cloud-based accounting, financials, enterprise management, people, and payroll software, we empower the world’s business heroes—from single-person startups to large enterprises. Our people are passionate and positive. We inspire our colleagues to serve business builders everywhere and champion their success. As a FTSE 100 company with 14,000 colleagues across 24 countries, we do business the right way, while giving back to our local communities through the Sage Foundation. Be Sage, build on.

Sage is currently recruiting for a Data Analyst to join our Central Marketing Operations team. This is an exciting new role with the opportunity to heavily influence modelling approaches and techniques. We’re looking for someone to develop and maintain statistical models to support and drive Sage’s business objectives, as well as using their analytical expertise to uncover valuable customer insights.

Working predominantly within Marketing, but also across teams such as Sales, Product, Service and IT, you will be accountable for high profile modelling projects starting from conceptional idea through to the operationalisation within Marketing & Sales. You’ll be presenting and managing stakeholders at different levels, conveying complex analysis in a fast-paced, practical environment.

Key accountabilities and decision ownership:

  • Develop of statistical learning models for customer data analysis & practical application within Sales & Marketing functions
  • Apply other mathematical methodologies to enable more targeted data segmentation enabling better Marketing funnel performance
  • Operationalise statistical models to ensure appropriate levels of performance metrics are met and models are adopted and maintained within each country
  • Communicate and deliver complex analysis effectively to tell a story from business problem to recommendation
  • Work proactively with customers, to challenge their understanding of the business problem relating this back to the analytics process

Essential Skills and Experience:

  • A degree (or equivalent qualification) in Maths, Statistics, Physics, Computer Science or Engineering (or similarly highly numerate subjec
  • Extensive practical experience in statistical analysis and data minin
  • Background in statistical modelling with experience using machine learning, regression or similar technique
  • Experience deploying commercially viable statistical models within large organisations across multiple geographie
  • Highly analytical professional with practical experience in R, Python, SAS or Altery
  • Can quickly build relationships and collaborate across different regions and cultures by working remotely and face-to-face

Desirable Skills and Experience:

  • Experience working within a Marketing or Sales function (preferably B2B)
  • Experience analysing data through third party vendor applications (.e.g. Dun & Bradstreet’s Market Insight)
  • Previous experience using Salesforce and/or Eloqua is an advantage

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