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For Companies At a Glance
- Tasks: Join our team to build advanced analytics and data pipelines for impactful insights.
- Company: Be part of a fast-growing global ecommerce and wholesale company.
- Benefits: Enjoy a competitive salary, excellent benefits, and 2 days of remote work each week.
- Why this job: This role offers a chance to enhance customer experience and optimise operations in a dynamic environment.
- Qualifications: Experience with data integration, analytics tools, and a passion for data-driven decision making is essential.
- Other info: Work in a hybrid model based in Central/West London, collaborating with cutting-edge technologies.
The predicted salary is between 43000 - 65000 £ per year.
A new Analytics Engineer role has been created to join an expanding team for this fast growing global ecommerce and wholesale client. This is an exciting opportunity to help build out Advanced Analytics as the team scale up in order to drive decision making, enhance customer experience and optimise operational efficiency.
The Analytics Engineer will be responsible for developing and maintaining advanced analytics, robust data pipelines and systems that enable data-driven insights and strategies. Analytics can be built out in Power BI, but this role is more than just reporting and will sit across the likes of MS Fabric, SQL, PySpark, SAP, Power BI, MS Dynamics and other platforms in the pipeline. This is a hybrid role based in Central / West London with the flexibility to work from home 2 days per week.
Key Responsibilities include:
- Design, develop, and maintain scalable data pipelines and systems to support data integration and analytics.
- Utilize Microsoft Fabric to ensure seamless data orchestration, integration, and management.
- Develop, deploy, and maintain Power BI dashboards and reports for data visualization and analysis.
- Ensure data quality, consistency, and reliability through effective data definition and observability practices.
Analytics Engineer employer: Young's Employment Services
Contact Detail:
Young's Employment Services 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, especially Microsoft Fabric and Power BI. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the analytics field, particularly those who work in e-commerce. Attend industry meetups or webinars to connect with potential colleagues and learn more about the latest trends and challenges in analytics.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've successfully developed data pipelines or analytics solutions. Be ready to explain your thought process and the impact of your work on decision-making and operational efficiency.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in the past. Highlight your ability to ensure data quality and reliability, as this is crucial for the role.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Analytics Engineer position. Tailor your application to highlight your relevant experience with data pipelines, Power BI, and other mentioned technologies.
Highlight Relevant Skills: Make sure to emphasise your technical skills in SQL, PySpark, and Microsoft Fabric. Provide specific examples of how you've used these tools in previous roles to develop analytics solutions or improve operational efficiency.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your enthusiasm for the role but also connects your past experiences to the responsibilities outlined in the job description. Mention your ability to work in a hybrid environment and your commitment to enhancing customer experience through data-driven insights.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for an Analytics Engineer role.
How to prepare for a job interview at Young's Employment Services
✨Showcase Your Technical Skills
Make sure to highlight your experience with the specific tools mentioned in the job description, such as SQL, Power BI, and MS Fabric. Be prepared to discuss how you've used these technologies in previous roles to develop data pipelines or analytics solutions.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. This could involve discussing a project where you optimised operational efficiency or enhanced customer experience through data-driven insights.
✨Understand the Company’s Goals
Research the company’s mission and recent developments in the ecommerce and wholesale sectors. Being able to articulate how your role as an Analytics Engineer can contribute to their growth will show your genuine interest in the position.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their expectations for the role. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
