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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 and collaborate with driven professionals in a thriving environment.
- Qualifications: Proficiency in Python, SQL, ETL, and cloud experience required.
- Other info: Hybrid working pattern with 2-3 days on-site; great time to join!
The predicted salary is between 30000 - 42000 £ 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 latest trends in data analytics, especially within the retail sector. Understanding how data drives decision-making in this industry will help you speak confidently about your insights during interviews.
✨Tip Number 2
Network with professionals in the data analytics field, particularly those who work in retail. Attend industry meetups or webinars to build connections that could lead to referrals or insider information about the company.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully used Python and SQL to derive insights. Be ready to explain your thought process and the impact of your work on previous teams or companies.
✨Tip Number 4
Research the company’s current data initiatives and be prepared to share your ideas on how you can contribute. Showing that you’ve done your homework will demonstrate your enthusiasm and commitment to the role.
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 projects that involved data collection, refinement, or analytics, be sure to include these in your application. Discuss the impact of your work and how it relates to the company's goals.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a Senior Data Analyst role.
How to prepare for a job interview at Oscar
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and ETL during the interview. Prepare examples of past projects where you successfully used these skills to derive insights or solve problems.
✨Understand the Company’s Data Strategy
Research the company’s approach to data analytics in the retail space. Be ready to discuss how you can contribute to their data collection and refinement processes, and how your experience aligns with their goals.
✨Prepare for Behavioural Questions
Expect questions about teamwork and collaboration, as the role requires working closely with stakeholders and colleagues. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, upcoming projects, or how the company measures the success of its data initiatives. This shows your genuine interest in the role.
