Analytics Engineer

Analytics Engineer / Senior Analytics Engineer
Location: Dover (Hybrid working)
Job Type: Full Time, Permanent (40 hours per week)
Salary: £33,000 – £47,000 DOE (Analytics Engineer) / £37,000 – £55,000 DOE (Senior Analytics Engineer)

Benefits

• 25 days annual leave + bank holidays
  
  
• Hybrid working (Tuesdays and Wednesdays onsite)
  
  
• Free onsite parking
  
  
• Smart Hive retail discount platform
  
  
• Group life insurance
  
  
• Confidential Employee Assistance Programme (EAP)
  
  
• Enhanced maternity and paternity leave
  
  
• Free fruit in the office
  
  Why join our client?
  
  This is a fantastic opportunity to join a forward-thinking and data-driven business at the heart of innovation in logistics and supply chain solutions. As an Analytics Engineer or Senior Analytics Engineer, you’ll play a vital role in delivering end-to-end data projects and guiding the business toward insight-led decisions.
  
  You’ll work in a highly collaborative environment with cross-functional teams and business stakeholders, influencing the way data is integrated, visualised, and applied across the company. If you thrive on solving problems with smart data solutions and enjoy taking ownership of complex projects, this role could be ideal for you.
  
  Key Responsibilities
  
  
• Build reports and dashboards using Tableau, SSRS, and other tools
  
  
• Develop and optimise complex data queries and data sources
  
  
• Lead multi-resource projects from conception through to delivery
  
  
• Provide mentorship and training on reporting tools and visualisation
  
  
• Collaborate closely with business stakeholders to define actionable tasks
  
  
• Troubleshoot and identify root causes of data inconsistencies
  
  
• Translate complex technical topics for non-technical audiences
  
  
• Operate with a strategic mindset and a proactive approach
  
  
• Contribute to data architecture planning and project scoping
  
  
• Support ad-hoc data requests as needed
  
  Required Experience
  
  
• 5+ years’ experience in a modern data team
  
  
• Strong skills in SQL & Python
  
  
• Proficient in creating ETL pipelines
  
  
• Experience with data modelling and integration
  
  
• Familiar with tools such as Tableau, SSIS, Power BI, SSRS
  
  
• Excellent communication and stakeholder management skills
  
  
• Highly organised, with great time management and problem-solving abilities
  
  
• Proven ability to lead cross-functional data projects
  
  Preferred Qualifications & Skills
  
  
• Degree or bootcamp in Computer Science, IT, or related field
  
  
• Experience with cloud platforms (Azure, AWS, or GCP)
  
  
• Experience using relational databases such as SQL Server, Postgres, or MySQL
  
  Morgan Jones is committed to creating a diverse and inclusive environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
  
  About Morgan Jones:
  
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  Due to the high volume of applicants, we see, if you have not heard back from us within 72 hours, please assume that you have been unsuccessful on this occasion.
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