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- Tasks: Join a dynamic team to lead data collection and refine analytics strategies.
- Company: A successful retail company leveraging data for innovation and decision-making.
- Benefits: Enjoy 25 days holiday, flexible work hours, training opportunities, and employee discounts.
- Why this job: Be part of exciting projects in a collaborative environment with career progression.
- Qualifications: Proficient in Python, SQL, ETL, and cloud technologies like GCP or AWS.
- Other info: Hybrid working pattern with 2-3 days on-site; great time to join!
The predicted salary is between 30000 - 70000 £ per year.
One of Oscar’s long-term clients are looking for an experienced Data Analyst with confident Python, SQL, and ETL experience to join their well-established Data and Analytics team. Their office is located in the Hinckley area, with easy access to transport links.
The role has opened up as the company are exploring the exciting opportunities and possibilities that data analytics can bring, and are looking forward to an enthusiastic individual to join their team and spearhead this mission. The role is being offered on a permanent basis, with 2 to 3 days on-site per week.
The company are highly successful within the retail space, and over the past couple of years they have been harnessing the value of data to provide essential company insights, innovation and decision-making. You will be joining their Data and Analytics team, directly reporting to the Head of Architecture and working closely with Senior Management, to spearhead their use of data. Being within the retail space, data plays an integral role in the company’s success, and you will be working alongside your team members, and latest technologies, to lead the collection and refinement of this data. As well as offering exciting new projects to work on, you will have access to a fantastic benefits package including training and development plans, certifications, employee discounts and flexible working opportunities. It’s a great company, and a fantastic time to join!
The ideal candidate for this role will be a team collaborator with excellent communication and work ethic. Your responsibilities will include:
- The ability to work with stakeholders and colleagues to make technical investments
- Lead the collection and refinement of data
- Assist diving company wide Data and Analytics strategies
- Build relationships with the industry
- Derive insights into market and customer behaviour
Required Skills
- Python
- SQL Server
- ETL
- Data Development
- Cloud Experience i.e GCP, AWS
Benefits
- 25 days holiday + Bank Holidays + Buy/Sell Schemes
- Pension Schemes
- Flexible Work Hours / WFH Pattern
- Car Benefit Plans and other discounts!
- Training and progression opportunities
- Office socials
If you are a Data Analyst and you are looking to progress with an organisation alongside ambitious and driven professionals, then look no further – this is the role for you!
Senior Data Analyst employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with the company's recent projects and data initiatives. This will not only help you understand their current focus but also allow you to tailor your discussions during interviews, showcasing how your skills in Python and SQL can directly contribute to their goals.
✨Tip Number 2
Network with current employees or alumni who work in similar roles within the company. Engaging with them can provide insider insights about the team dynamics and expectations, which can be invaluable when preparing for your interview.
✨Tip Number 3
Brush up on your ETL processes and cloud experience, particularly with GCP or AWS. Be ready to discuss specific examples of how you've implemented these technologies in past projects, as this will demonstrate your hands-on expertise and readiness for the role.
✨Tip Number 4
Prepare thoughtful questions about the company's data strategies and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations, making you a more attractive candidate.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and ETL processes. Use specific examples from your previous roles to demonstrate your skills and how they relate to the responsibilities outlined in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention how your background aligns with their mission of harnessing data for insights and decision-making in the retail space.
Highlight Relevant Projects: If you have worked on any significant data projects, be sure to include them in your application. Discuss the impact these projects had on your previous employers and how they relate to the responsibilities of the Senior Data Analyst role.
Showcase Soft Skills: In addition to technical skills, emphasise your communication and teamwork abilities. The role requires collaboration with stakeholders and colleagues, so providing examples of successful teamwork will strengthen your application.
How to prepare for a job interview at Oscar
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work or code snippets to demonstrate your expertise.
✨Understand the Company’s Data Strategy
Research the company’s approach to data analytics, especially within the retail space. Familiarise yourself with their recent projects or innovations that leverage data, as this will show your genuine interest and help you align your answers with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle data-related challenges. Think of scenarios where you had to derive insights from complex data sets or collaborate with stakeholders to make technical decisions.
✨Emphasise Team Collaboration
Since the role involves working closely with senior management and team members, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams to achieve common goals, particularly in data-driven projects.
