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For Companies At a Glance
- Tasks: Lead data strategies and analyse complex data sets to drive growth.
- Company: Join a thriving E-commerce business focused on innovation.
- Benefits: Competitive salary, bonus, and remote work flexibility.
- Why this job: Make an impact by shaping data-driven products in a fast-paced environment.
- Qualifications: Expertise in Amazon data, SQL, and experience in high-growth e-commerce.
- Other info: Exciting opportunity for career advancement in a dynamic team.
The predicted salary is between 42000 - 84000 £ per year.
Our client is an E-commerce business looking for a Senior Data Analyst to join permanently. Are you interested in supporting the company’s growth with new tech? Do you have a passion for winning and success?
Responsibilities
- Lead the development of analytics and data strategies utilising Amazon.
- Identify, analyse, and interpret trends or patterns within complex data sets.
- Develop and maintain SQL scripts for data analysis and reporting purposes.
- Utilize Python for data manipulation, cleaning, and visualization.
- Collaborate with cross-functional teams to design and implement new data-driven products and features.
Skills/Experience
- Lead expertise in Amazon data (Amazon Seller Central or Amazon sp-API)
- SQL
- High growth/e-commerce environment
If interested and for further information, please apply ASAP.
Senior Data Analyst employer: Parker B Associates
Contact Detail:
Parker B Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the e-commerce and data analytics space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL scripts and Python projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling complex data sets, as this will demonstrate your analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with Amazon data, SQL, and any relevant projects that showcase your skills in a high-growth e-commerce environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data analysis and how you can contribute to our growth. Mention specific examples of how you've used Python or SQL in past roles.
Showcase Your Analytical Skills: In your application, don’t forget to demonstrate your analytical prowess. Include examples of how you've identified trends or patterns in complex data sets and the impact of your findings on previous projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Parker B Associates
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description, especially SQL and Python. Brush up on your skills by working on sample datasets or projects that showcase your ability to manipulate and visualise data effectively.
✨Understand E-commerce Trends
Familiarise yourself with current trends in the e-commerce sector, particularly those related to Amazon. Being able to discuss how data analytics can drive growth in this space will show your passion for the industry and your potential value to the company.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Practice articulating your thought process when analysing complex datasets and how you would approach developing analytics strategies. This will demonstrate your analytical thinking and problem-solving skills.
✨Showcase Collaboration Skills
Since the role involves working with cross-functional teams, be ready to discuss past experiences where you collaborated with others. Highlight how you communicated data insights to non-technical stakeholders and contributed to team projects, as this will illustrate your ability to work effectively in a team environment.
