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For Companies At a Glance
- Tasks: As a Data Analyst, you'll maintain and create valuable data assets for various departments.
- Company: Join a leading online retailer with a strong presence in Europe and the US.
- Benefits: Enjoy a hybrid working environment, excellent salary, and fantastic development opportunities.
- Why this job: Be part of a rapidly growing business and make a real impact on its success.
- Qualifications: 3+ years experience in a similar role, strong SQL and Python skills required.
- Other info: Work closely with stakeholders and manage your own projects in a stand-alone role.
The predicted salary is between 36000 - 60000 £ per year.
Zachary Daniels are delighted to be supporting this leading online retailer in the appointment of a Data Analyst to join their rapidly growing business. With a significant presence in Europe and the US and under the leadership of a new CEO, the business is looking to consolidate its market leading position and grow substantially over the coming few years. The business is looking for an experienced Data Analyst/Engineer to support the next phase of growth.
Reporting to the Chief Financial Officer, and working closely with the Commercial Director, you will be responsible for maintaining existing valuable data assets and creating new assets from raw data to be consumed by end users across operational, commercial, marketing and finance departments. You will be required to work closely with stakeholders, ensuring data assets meet current and future requirements of the business, whilst being able to translate business needs into effective data products.
To be considered for this role you will need to display the following:
- At least 3 years commercial experience in a similar role - Data Analyst or Engineer
- Excellent SQL skills including CTEs and window functions
- Excellent Python skills (Pandas)
- Demonstrable knowledge of warehouses (tables, views & databases)
- Experience of Power BI
- Good relationship builder
- Ability to communicate well with both technical and non-technical colleagues
- Able to set own agenda & manage own time - this is a stand-alone role, but will involve working closely with the business functions
- Confident managing workflow and projects to a deadline
In return our client can offer an excellent basic salary plus benefits, a hybrid working environment and fantastic development opportunities.
Contact Detail:
Zachary Daniels Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and Power BI. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss how you've previously translated business needs into effective data products. Think of specific examples where your analysis directly impacted decision-making or improved processes, as this will demonstrate your value to the team.
✨Tip Number 4
Showcase your ability to manage projects and deadlines by preparing a brief overview of past projects. Highlight your role, the challenges faced, and how you successfully delivered results, as this aligns with the stand-alone nature of the role.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Analyst or Engineer. Emphasise your SQL and Python skills, along with any experience you have with data warehouses and Power BI.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the role and how your background aligns with the company's goals. Mention your ability to communicate effectively with both technical and non-technical colleagues.
Showcase Your Projects: If possible, include examples of past projects where you've successfully managed data assets or created new data products. This will demonstrate your hands-on experience and problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Zachary Daniels
✨Showcase Your Technical Skills
Make sure to highlight your SQL and Python expertise during the interview. Be prepared to discuss specific projects where you've used CTEs, window functions, and Pandas, as this will demonstrate your hands-on experience and technical proficiency.
✨Understand the Business Context
Research the company and its market position before the interview. Understanding their business model and how data analytics can drive growth will help you articulate how you can contribute to their objectives.
✨Prepare for Stakeholder Interaction
Since the role involves working closely with various departments, think of examples where you've successfully communicated complex data insights to non-technical colleagues. This will show your ability to bridge the gap between technical and non-technical teams.
✨Demonstrate Project Management Skills
Be ready to discuss how you manage your time and workflow, especially in a stand-alone role. Share examples of how you've set agendas and met deadlines in previous positions, as this will highlight your organisational skills.
