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For Companies At a Glance
- Tasks: Build reports, optimise data queries, and lead projects in a collaborative environment.
- Company: Join Morgan Jones, a forward-thinking leader in logistics and supply chain solutions.
- Benefits: Enjoy 25 days leave, hybrid working, free parking, and wellness perks.
- Why this job: Be part of innovative data projects that drive insight-led decisions and problem-solving.
- Qualifications: 5+ years in data roles, strong SQL & Python skills, and experience with reporting tools.
- Other info: Diversity and inclusion are core values; all applicants are welcomed.
The predicted salary is between 33000 - 47000 £ per year.
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:
Morgan Jones Limited acts as an employment agency. By applying, you accept the Terms & Conditions as well as the Privacy, Cookie, and Data Retention Policy, which can be found on our website. 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. To view other great opportunities, visit our website or follow Morgan Jones on your favourite social networks.
Analytics Engineer employer: Morgan Jones Recruitment Consultants
Contact Detail:
Morgan Jones Recruitment Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as Tableau and SQL. Consider creating a small project or dashboard that showcases your skills using these tools, as this can be a great conversation starter during interviews.
✨Tip Number 2
Network with current employees or professionals in similar roles on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Prepare to discuss your experience with leading cross-functional projects. Think of specific examples where you successfully collaborated with different teams, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Brush up on your communication skills, especially in translating complex technical topics for non-technical audiences. Practising how to explain your past projects in simple terms can make a significant difference during interviews.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, SQL, and Python. Emphasise any projects where you've built reports or dashboards, as well as your ability to lead cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as developing ETL pipelines or collaborating with stakeholders.
Showcase Technical Skills: Clearly outline your technical skills in SQL, Python, and any relevant tools like Tableau or Power BI. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Soft Skills: Don't forget to mention your communication and stakeholder management skills. Provide examples of how you've translated complex data topics for non-technical audiences or mentored others in reporting tools.
How to prepare for a job interview at Morgan Jones Recruitment Consultants
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL and Python during the interview. Be prepared to discuss specific projects where you've built ETL pipelines or optimised data queries, as this will demonstrate your technical proficiency.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of examples where you've led cross-functional projects or resolved data inconsistencies, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly
Since you'll need to translate complex technical topics for non-technical audiences, practice explaining your past projects in simple terms. This will show your ability to collaborate effectively with business stakeholders.
✨Demonstrate Your Collaborative Spirit
Emphasise your experience working in a team environment. Share examples of how you've mentored others or contributed to a collaborative project, as this aligns with the company's focus on teamwork and innovation.
