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Data Engineer

WA Consultants Ltd

Remote

GBP 40,000 - 60,000

Full time

Yesterday
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Job summary

A leading consulting firm in the United Kingdom seeks an experienced Data Analyst for a fully-remote contract. The role involves leading analytical initiatives, driving data quality and insights for strategic recommendations. Candidates should have strong SQL skills, experience in ecommerce or tech environments, and excellent communication capabilities. This position promotes a data-driven culture and requires collaboration across multiple stakeholders to enhance product strategies and digital experiences.

Qualifications

  • Strong experience with SQL and familiarity with cloud analytics environments.
  • Experience in ecommerce, retail, fashion, or tech product-driven companies.
  • Demonstrated ability to synthesize large amounts of data into clear insights.

Responsibilities

  • Partner with Product Managers to shape product strategies through data-informed insights.
  • Drive customer-centric analysis to enhance the digital experience.
  • Define key KPIs and implement event tracking to evaluate product performance.

Skills

SQL
Data analysis
Communication skills
Problem-solving
Customer-centric analysis

Education

Degree in Business Administration, Economics, or Engineering

Tools

Power BI
BigQuery
Looker
Python
Tableau
Google Data Studio
Databricks
Job description

Required for a fully-remote contract, an experienced Data Analyst to join a global, cross-functional team committed to delivering exceptional digital experiences through close collaboration, user-centric design, and continuous iteration.

You will lead and coordinate analytical initiatives, driving the full analytical lifecycle—from hypothesis development through data analysis to actionable insights and strategic recommendations while ensuring data quality, accessibility, and reliability throughout the process.

Responsibilities
  • Partner with Product Managers and Digital Value Stream Managers to shape product strategies and prioritise initiatives through data-informed insights.
  • Drive customer‑centricity by analysing behavioural, commercial, and product performance data to enhance the digital experience.
  • Define and monitor key KPIs and implement event tracking to evaluate product performance and ensure alignment with intended outcomes.
  • Lead the development of business cases by integrating commercial, digital, and user behaviour insights.
  • Promote a data‑driven culture by enhancing data visibility, educating stakeholders, and translating complex data into actionable narratives.
  • Leverage SQL and tools such as BigQuery, Looker, and Power BI to explore, visualise, and communicate insights.
Experience
  • Experience from product or business analysis, customer or commercial analytics, management consulting.
  • Strong experience with SQL, proficiency in Python is a plus.
  • Previous experience with cloud analytics environments such as Databricks or GCP.
  • Previous experience within ecommerce, retail, fashion or tech product driven companies.
  • Academic degree within Business Administration, Economics, Engineering (or similar).
  • Experience in working with data visualization tools e.g. Power BI, Tableau, Google Data Studio, Looker Studio, etc.
  • Demonstrated ability to synthesize large amounts of data into clear insights.
  • Ability to work with multiple stakeholders across different competences (Commercial Leads, eCommerce Managers, Product Managers, Developers, Designers, Data Engineers, etc.).
  • Be comfortable with working within a large matrix organization.
  • Strong communication skills and an ability to communicate and explain data and its implications to various stakeholders.
  • Analytical mindset with strong problem‑solving skills.
  • Fluent in English (written and spoken).

To arrange an interview, please email in the first instance, your CV to jt@waconsultants.com

WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.

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