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- Tasks: Analyse data to drive efficiency and growth in delivery operations.
- Company: Join Ocado, a leader in grocery retail innovation using cutting-edge technology.
- Benefits: Enjoy remote work options, generous leave, and health benefits.
- Why this job: Make a real impact on grocery retail while collaborating with diverse teams.
- Qualifications: 2+ years in data analytics, proficiency in SQL, and strong problem-solving skills.
- Other info: Hybrid working model with exciting projects and mentorship opportunities.
The predicted salary is between 28800 - 48000 ÂŁ per year.
About us: âWe are on a mission to transform the future of grocery retail through sustained technology innovation.â Ocado Group is putting the worldâs retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and hardware systems that power Ocado.com, the worldâs largest online-only grocery retailer as well as the global âOcado Smart Platformâ. With everything from websites to fully autonomous warehouses that we design in-house, our employees need to be specialists in a wide range of technologies to help drive our business.
What does the team do? The Solutions Analytics Team provides actionable data and insights across the Ocado Smart Platform (OSP), with a focus on optimising operational efficiency, customer satisfaction, and partner success. In the rapidly evolving domain of last-mile operations, we aim to enhance delivery efficiency, sustainability, and precision, ensuring our Partners achieve peak performance. This team leads cross-functional analytics projects, collaborating with internal teams and external stakeholders to drive innovation, deliver cost-saving solutions, and improve the customer experience.
About the role: As a Data Analyst, you will extract and interpret data to identify opportunities for efficiency and growth within our partnersâ delivery operations. Your insights will directly influence multi-million-pound decisions, improve customer experiences, and contribute to Ocadoâs mission of transforming grocery retail. In addition to working with vast datasets and advanced tools, youâll lead impactful projects, mentor junior analysts, and play a critical role in shaping analytics solutions that drive global partner success.
- Insight Generation: Extract, analyse, and interpret data to identify trends and opportunities for OSP Partners, driving growth and efficiency.
- Strategic Projects: Lead analytical contributions to cross-functional projects that deliver significant business outcomes.
- Collaboration: Partner with technology, operations, and external stakeholders to optimise OSPâs impact.
- Visualisation & Communication: Create compelling dashboards and reports, presenting insights in actionable, user-friendly formats.
- Continuous Improvement: Close data gaps, enhance platform features, and contribute to analytics best practices.
- Sustainability Impact: Support initiatives to optimise operations, reducing waste and carbon emissions.
What weâre looking for: Essential skills and experience:
- Proven Analytical Expertise: 2+ years of experience in data analytics, working with Big Data to deliver actionable insights.
- Technical Skills: Proficiency in SQL, Excel/Google Sheets, and visualisation tools (e.g., Looker, Tableau, Data Studio).
- Problem-Solving Mindset: Strong capability to analyse and resolve complex issues.
- Communication Skills: Ability to present insights to technical and non-technical audiences.
- Global Perspective: Experience working in diverse, cross-cultural environments.
- Proficiency in Python and Google Colab for advanced data processing.
- Experience with GIS software to drive location-based insights.
- Familiarity with AI-driven analytics and predictive modeling.
- Experience with process mining technologies such as Celonis.
- Additional language skills (e.g., Spanish, French, Japanese, Korean).
- Experience in online grocery, retail, or logistics analytics.
- Knowledge of data governance, security, and privacy best practices.
What do I get in return:
- 30 Day âwork from anywhereâ policy + Remote working for the month of August.
- 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase).
- Pension scheme (various options available including employer contribution matching up to 7%).
- Private Medical Insurance.
- 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete).
- Train Ticket loan (interest-free).
- Cycle to Work Scheme.
- Opportunity to participate in Share save and Buy as You Earn share schemes.
- 15% discount on Ocado.com and free delivery for all employees.
- Income Protection (can be up to 50% of salary for 3 years) and Life Assurance (3 x annual salary).
- Free shuttle-bus to and from Hatfield train station.
Stay in the loop: Canât find what youâre looking for or not ready for a move? Join our Talent Community to stay up to date with Ocado Group news and events, youâll also be the first to know about new opportunities - before they are posted.
Data Analyst - Last Mile employer: Ocado Technology Group
Contact Detail:
Ocado Technology Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Analyst - Last Mile
â¨Tip Number 1
Familiarise yourself with Ocado's mission and values. Understanding how they aim to transform grocery retail through technology will help you align your insights and ideas with their goals during discussions.
â¨Tip Number 2
Brush up on your SQL and data visualisation skills. Being able to demonstrate your proficiency in these areas during interviews can set you apart, especially since they are essential for the role.
â¨Tip Number 3
Prepare examples of past projects where you've successfully used data analytics to drive efficiency or growth. Be ready to discuss the impact of your work and how it relates to the last-mile operations.
â¨Tip Number 4
Network with current employees or join relevant online communities. Engaging with those who work at Ocado can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
We think you need these skills to ace Data Analyst - Last Mile
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly with Big Data. Emphasise your proficiency in SQL, Excel, and any visualisation tools you've used, as these are essential for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming grocery retail through technology. Mention specific projects or experiences that demonstrate your analytical expertise and problem-solving mindset.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your experience with Python, GIS software, and any familiarity with AI-driven analytics or process mining technologies, as these are key to the position.
Highlight Communication Abilities: Since the role involves presenting insights to various audiences, make sure to mention any experience you have in communicating complex data findings in an understandable way. This could include examples of dashboards or reports you've created.
How to prepare for a job interview at Ocado Technology Group
â¨Showcase Your Analytical Skills
Be prepared to discuss your previous experience with data analytics, especially how you've used SQL and visualisation tools like Tableau or Looker. Bring examples of projects where your insights led to significant business outcomes.
â¨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving mindset. Prepare to explain how you've tackled complex issues in the past, particularly in a data-driven context, and be ready to share specific methodologies you employed.
â¨Communicate Effectively
Since you'll need to present insights to both technical and non-technical audiences, practice explaining your findings in simple terms. Use clear examples to illustrate how your insights can drive operational efficiency and enhance customer satisfaction.
â¨Highlight Collaboration Experience
The role involves working with various teams and stakeholders. Be ready to discuss your experience in cross-functional projects, how youâve collaborated with others, and any challenges you faced while working in diverse environments.
