Optimisation Analyst in Welwyn Garden City

Optimisation Analyst in Welwyn Garden City

Welwyn Garden City Full-Time 35000 - 45000 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Analyse data to improve digital products and enhance customer experience.
  • Company: Join Tesco, a leading supermarket and tech innovator.
  • Benefits: Enjoy competitive salary, annual bonus, 25+ days holiday, and private medical insurance.
  • Other info: Flexible working options and a supportive, inclusive environment await you.
  • Why this job: Make a real impact by optimising customer experiences with data-driven insights.
  • Qualifications: Experience in data analysis, SQL proficiency, and strong communication skills.

The predicted salary is between 35000 - 45000 £ per year.

About the role

The successful applicant will join the Analytics and Optimisation team, which sits within the Technology Product department looking after market leading online groceries proposition, anew Marketplace proposition, the Clubcard proposition, and the digital entities in-store. The Analytics and Optimisation team is responsible for providing insight and learning to the wider Product, Trading and UX teams to help drive decision making. The team is looking to advance its optimisation practises to develop a best in class testing programme.

What is in it for you

We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work.

  • Annual bonus scheme of up to 20% of base salary.
  • Holiday starting at 25 days plus a personal day (plus Bank holidays).
  • Private medical insurance.
  • 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
  • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
  • This information is a shortened summary, refer to our policies for full details.

You will be responsible for

This role will report into the Analytics Manager for Optimisation, and whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role’s key responsibilities:

  • Analysing test results within the Loyalty & Support product spaces in a simple and engaging way with actionable recommendations that can be applied to improve our digital products and the customer experience.
  • Analysing customer behaviour by leveraging big data from multiple sources and working closely with the UX research team to identify opportunities for improving the customer experience.
  • Ensuring the reliability of our test results by applying appropriate statistical testing methods to our test data.
  • Continually evaluating the process for AB test analysis and exploring opportunities to enhance our ways of working.
  • Exploring ways to automate our existing analysis processes to make decision making faster and to better support the needs of the Optimisation Managers and stakeholders.
  • Working collaboratively with the Analytics Capabilities team to ensure appropriate tracking and means of measurement is in place.
  • Sharing and presenting test results and insights clearly back to a range of audiences including the Product, UX and Engineering teams.
  • Work with the finance team to deliver accurate and representative financial benefit forecasts.
  • Providing mentoring and guidance to the Associate Optimisation Analysts.

You will need

  • Experience of manipulating and analysing data from multiple sources different sources using big data, business intelligence and data visualisation tools.
  • Excellent verbal and written communication skills – you must be able to articulate complex concepts to a diverse audience.
  • Data-driven mind-set with strong analytical and problem solving skills; able to translate data into actionable insights to further improve the digital experience for our customers.
  • Working effectively with multi disciplinary teams and understanding how to contribute to all phases of the product development lifecycle.
  • Knowledge of AB testing methodology and/or an understanding of the value of optimisation.
  • Proficient in SQL.

In addition, this experience is desirable

  • Experience of working with Adobe Analytics
  • Experience of working with Tableau
  • Experience of working with AB testing tools

About us

You might know us as a supermarket, technology company or even for our award winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.

At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.

We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click herefor more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.

#J-18808-Ljbffr

Optimisation Analyst in Welwyn Garden City employer: 慨正橡扯

At 慨正橡扯, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of Behavioral Economics and Retirement Research. Our hybrid working model not only offers flexibility but also nurtures a vibrant work culture where employees are encouraged to grow and develop their skills through meaningful projects and leadership opportunities. Join us in Europe, where your expertise will directly contribute to enhancing investor outcomes and shaping impactful business strategies.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Optimisation Analyst in Welwyn Garden City

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like 慨正橡扯!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Optimisation Analyst at 慨正橡扯.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like 慨正橡扯.

Apply Directly through Our Website

When you find a suitable opening like Optimisation Analyst at 慨正橡扯, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Optimisation Analyst in Welwyn Garden City

Data Analysis
Big Data Manipulation
Business Intelligence
Data Visualisation
Statistical Testing Methods
AB Testing Methodology
SQL Proficiency

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at 慨正橡扯, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 慨正橡扯. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at 慨正橡扯

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at 慨正橡扯!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.