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- Tasks: Join us as a Data Science Analyst, using data to drive business decisions and optimise strategies.
- Company: Safestore is the UK's largest self-storage group, known for valuing its employees and fostering a supportive culture.
- Benefits: Enjoy hybrid working, competitive salary, and career development opportunities in a top-rated workplace.
- Why this job: Make a real impact on business strategies while collaborating with diverse teams in a dynamic environment.
- Qualifications: A Master's degree in a quantitative field and skills in SQL, R, or Python are essential.
- Other info: Driving license and car required for this role based in Borehamwood.
The predicted salary is between 25000 - 29000 £ per year.
Data Science Analysts (Graduates) £30,000 - £35,000 Negotiable DoE Hybrid working - North London Head Office (Borehamwood) & Home
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.
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.
- 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.
- 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.
Graduate Data Science Analyst - Borehamwood - Driving License & Car Essential employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Science Analyst - Borehamwood - Driving License & Car Essential
✨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 expectations for the Data Science Analyst role. This can help you tailor your approach and demonstrate your genuine interest in the position during interviews.
✨Tip Number 3
Prepare to discuss real-life applications of statistical concepts you've learned, especially those relevant to pricing strategies and commercial decision-making. Being able to articulate how you've applied these concepts will show your practical understanding and readiness for the role.
✨Tip Number 4
Highlight any experience you have in cross-functional collaboration, as this role requires working closely with various departments. Be ready to share examples of how you've successfully communicated findings and driven collaboration in past projects.
We think you need these skills to ace Graduate Data Science Analyst - Borehamwood - Driving License & Car Essential
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your Master’s degree in a quantitative or statistical subject, and any experience with SQL, R, or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background makes you a great fit for the role. 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 insights to non-technical stakeholders in previous roles or projects.
Highlight Team Collaboration: Since the role involves working closely with other departments, include examples of successful teamwork in your application. Discuss how you’ve collaborated with cross-functional teams to achieve common goals.
How to prepare for a job interview at Datatech Analytics
✨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, as this will demonstrate your practical knowledge and ability to solve real-life problems.
✨Understand the Business Context
Research Safestore and its operations thoroughly. 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 during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Be ready to discuss how you would approach specific data analysis scenarios or challenges related to pricing strategies or operational improvements. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Strong Communication Skills
Since the role involves collaborating with cross-functional teams, practice explaining complex data concepts in simple terms. Highlight your ability to convey findings and recommendations clearly, as effective communication is key to driving collaboration and influencing business decisions.
