Associate Optimisation Analyst

Associate Optimisation Analyst

Entry level 30000 - 40000 £ / year (est.) No working from home possible
WeAreTechWomen

At a Glance

  • Tasks: Collaborate on A/B tests and analyse customer behaviour to drive insights.
  • Company: Join Tesco's innovative Product Analytics and Experimentation team.
  • Benefits: Gain valuable experience, develop skills, and enjoy a supportive work environment.
  • Other info: Dynamic role with opportunities for growth and collaboration across teams.
  • Why this job: Make a real impact on digital products while learning cutting-edge analytics techniques.
  • Qualifications: Experience with data analysis, A/B testing, and SQL is essential.

The predicted salary is between 30000 - 40000 £ per year.

About the Team

The Product Analytics and Experimentation team works within the Data & Analytics directorate, delivering data insights, analysis, and experimentation to support Tesco’s digital products, including the Tesco Groceries & Clubcard app, website, support centre, and store tills.

Role Summary

As a Junior Analyst, you will collaborate with Product Managers, Optimisation Managers, and Digital Analysts to design and analyze A/B tests, ensuring the reliability of results and the alignment of tracking and measurement across teams.

Key Responsibilities

  • Collaborate with stakeholders to conduct A/B tests and provide actionable recommendations.
  • Analyze customer behavior in experimentation using SQL Hive/Spark, Python, Alteryx, Adobe Analytics.
  • Apply appropriate statistical testing methods to ensure test reliability.
  • Work with Analytics Capabilities and Digital Analytics teams to set up tracking for A/B tests.
  • Forecast financial benefits with the finance team.
  • Learn new analytics techniques and tools rapidly and apply them.
  • Act with integrity and follow the Business Code of Conduct.
  • Explain complex information clearly to stakeholders with varying data understanding.
  • Plan work proactively and adapt to changing priorities.
  • Build effective working relationships across teams and with senior stakeholders.
  • Query data with SQL.
  • Required Qualifications
  • Experience working with and analyzing data from multiple sources.
  • Strong understanding of A/B testing principles and optimisation.
  • Proactive, self‑motivated with planning skills.
  • Strong interpersonal skills and ability to build relationships.
  • Experience querying data with SQL.
  • Additional Beneficial Experience
  • Exposure to A/B testing tools.
  • Familiarity with web analytics tools such as Adobe Analytics or Google Analytics.
  • Relevant quantitative discipline or a similar university degree of 2:1 or higher.
  • #J-18808-Ljbffr

Associate Optimisation Analyst employer: WeAreTechWomen

At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.

WeAreTechWomen

Contact Details:

WeAreTechWomen Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate Optimisation Analyst

Embrace Online Competitions

Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like WeAreTechWomen when you're aiming for that entry-level role.

Join Data Science Meetups

Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like WeAreTechWomen.

Networking Through University Career Services

Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like WeAreTechWomen.

Spotlight Your Skills Online

Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through WeAreTechWomen’s career page, where your unique skills can shine in their entry-level data science openings!

We think you need these skills to ace Associate Optimisation Analyst

A/B Testing
SQL
Python
Alteryx
Adobe Analytics
Statistical Testing
Data Analysis

Some tips for your application 🫡

Show Off Your Data Skills:As you're aiming for an entry-level data science role at WeAreTechWomen, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.

Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.

Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at WeAreTechWomen aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.

Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.

How to prepare for a job interview at WeAreTechWomen

Brush Up on Your Statistics

For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.

Get Hands-On with Tools

Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!

Showcase Relevant Projects

As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.

Prepare for Case Studies

Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!