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- Tasks: Analyse data to support commercial and pricing strategies, driving business decisions.
- Company: Safestore is the UK's largest self-storage group, known for its engaged and valued workforce.
- Benefits: Enjoy hybrid working, competitive salary, and career development opportunities.
- Why this job: Join a top-rated company with a focus on collaboration and innovation in analytics.
- Qualifications: Master's degree in a quantitative field and experience with SQL, R, or Python required.
- Other info: Be part of a team that values your unique contributions and promotes best practices.
£30,000 - £35,000 Negotiable DoE Hybrid working - North London Head Office (Borehamwood) & Home
Proud to employ great people who are passionate about what we do. Safestore is the UK's largest self-storage group, and part of the FTSE 250. We believe that engaged colleagues, who feel valued by our business, are the foundation of our customer-focused culture. We know our people as individuals, and show respect for each other, enabling everyone to have a voice so that they can bring their full, unique selves to work. We are exceptionally proud that, in 2021, we were awarded the prestigious 'Investors in People' Platinum accreditation, placing us in the top 2% of accredited organisations in the UK and have maintained this accreditation ever since.
Unrivalled opportunity for career development and to positively influence the business. We are currently recruiting for two Data Science Analysts (Graduates); working closely together and playing crucial roles to the business. One Analyst will support the Commercial and Operations teams to deliver the UK and EU commercial strategies and enable the business to achieve its objectives. The second Analyst providing support to the pricing team to deliver the UK and EU pricing strategies and enable the business to achieve its objectives through dynamic pricing.
Key Accountabilities
- Partner with other support departments to discover and deliver projects that use data and statistics in identifying trends and optimisation to support decision making.
- Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue.
- Deliver insights to drive business decisions and design algorithms that can be used to improve either our pricing or operational strategy.
- Develop an excellent understanding of relevant internal and external data sources.
- Work together with other departments and stakeholders to develop and promote best practices in analytics and experimentation across the company.
- Design and build internal self-service analytics and experimentation tooling.
Experience & skills required
- A Master's degree in a quantitative or statistical subject.
- An ability to articulate and interpret commercial-based questions, identifying and querying data (SQL) and using statistics to arrive at an answer.
- A sound understanding of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems.
- Experience using statistical software and programming using R, SQL, Python or similar in datasets.
- Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration.
Preferred Requirements
- Experience in identifying opportunities for product or business improvements and measuring the success of those initiatives.
- Experience in applying modelling techniques e.g. time series forecasting, segmentation / clustering, anomaly detection.
If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech Analytics.
Data Science Analyst (Graduate) employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Analyst (Graduate)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, R, and Python. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Safestore to gain insights into the company culture and the role itself. This can help you tailor your approach and demonstrate your genuine interest during any interviews.
✨Tip Number 3
Prepare to discuss real-life applications of statistical concepts and data analysis techniques you've used in past projects. Being able to articulate how you've solved problems using data will show your practical understanding of the role.
✨Tip Number 4
Stay updated on industry trends related to data science and analytics, particularly in the self-storage sector. Showing that you understand the market and can contribute to the company's objectives will make a strong impression.
We think you need these skills to ace Data Science Analyst (Graduate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Data Science Analyst role. Emphasise your Master's degree in a quantitative subject and any practical experience with statistical software like R, SQL, or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background fits the company's needs. Mention specific projects or experiences where you've applied statistical analysis to solve real-life problems.
Showcase Communication Skills: In your application, demonstrate your excellent communication skills. Provide examples of how you've effectively communicated complex data findings to non-technical stakeholders, as this is crucial for the role.
Highlight Team Collaboration: Since the role involves working closely with various departments, include examples of past teamwork experiences. Show how you contributed to collaborative projects and how you can promote best practices in analytics across teams.
How to prepare for a job interview at Datatech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical software and programming languages like R, SQL, and Python. Bring examples of projects where you've applied these skills, especially in real-life scenarios related to data analysis.
✨Understand the Business Context
Research Safestore and its operations. Understand their commercial strategies and how data science can influence decision-making. This will help you articulate how your skills can directly benefit the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Be ready to explain how you would approach a specific data analysis task or how you would develop a pricing strategy based on given data.
✨Communicate Clearly and Effectively
Since excellent communication skills are crucial for this role, practice explaining complex data concepts in simple terms. Be ready to demonstrate how you can collaborate with cross-functional teams and present your findings.
