Experimentation Analyst

Experimentation Analyst

Full-Time 37800 - 46200 £ / year (est.) Home office (partial)
F

At a Glance

  • Tasks: Analyse experiments and support teams in running tests to drive insights.
  • Company: Join the Financial Times, a leading global news organisation committed to diversity.
  • Benefits: Enjoy generous leave, medical cover, gym memberships, and a hybrid work model.
  • Other info: Collaborative culture with opportunities for personal growth and community engagement.
  • Why this job: Make an impact in a dynamic environment while developing your analytical skills.
  • Qualifications: 2+ years of analyst experience with strong SQL and A/B testing skills.

The predicted salary is between 37800 - 46200 £ per year.

This job is with Financial Times, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

About Us

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT.

Our Commitment to Diversity, Equity and Inclusion

We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

The Role Overview

One of the world’s leading global business news publishers - the Financial Times - is recognised as an innovator within the media industry, pioneering successful new digital business models and delivery. Within this dynamic, customer-centric organisation reacting to a fast-moving digital environment, the Customer Analytics team plays a pivotal role in driving the success of the FT, helping to shape all areas of our multichannel strategy. Over the past 10 years, the Analytics team has established itself as an independent source of truth and strategic advice for the whole business, providing actionable insight to a variety of digital stakeholders across the business (i.e. Marketing, Product, Editorial, Sales, Senior Management Group).

The Experimentation Analyst will join the Experimentation team, a key component of the central team within Insight & Analytics. The scope of this role is company-wide, supporting our mission to share knowledge and best practices about running experiments as well as performing crucial analyses. The Analyst is responsible for supporting the Experimentation team in all aspects of what it does, with a primary focus on the analysis of tests and insight sharing, as well as offering support to teams who are running and analysing their own tests. At the FT, several different experimentation tools operate concurrently, so flexibility and a willingness to learn are crucial.

Key Responsibilities

  • Provide test analysis and test support to stakeholders across the business.
  • Support embedded analysts in conducting tests on the ground.
  • Be the primary contact for testing BAU questions.
  • Assist teams with pre-test metric evaluations, post-test analyses, documentation and regular stakeholder communication.
  • Help to establish best practices and maintain consistency in experiment reporting.
  • Advocate for an experimentation culture, recommend FT’s experimentation goals, and collaborate with L&D.
  • Help the team keep track of the multiple work streams and tests.
  • Contribute ideas and content to the quarterly Experimentation newsletter.

You'll bring to the role...

Essential

  • 2+ years of Analyst experience
  • Advanced SQL skills
  • Experience with A/B testing / Experimentation - Strong statistical background
  • Enjoy working with stakeholders
  • An ability to understand the commercial imperatives behind requests and design A/B tests with those in mind
  • Exposure to working with a wide variety of data sets and data tools
  • Ability to present and communicate complex analysis in a clear, precise, and actionable manner to senior stakeholders
  • University degree attainment in Mathematics / Management / Business / Psychology / Computer Science / Statistics / Economics / or similar numerate discipline

Desirable

  • Experience with Optimizely, Amplitude Experiment or similar tools
  • Have a passion for data visualisation & familiarity with visual techniques
  • An interest in current affairs

What’s in it for you?

Our benefits vary by location, but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here.

We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.

Accessibility

We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.

Further information

At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.

Experimentation Analyst employer: Financial Times

The Financial Times is an exceptional employer that champions diversity, equity, and inclusion, fostering a warm and collaborative culture where employees can thrive. With a commitment to employee growth, the FT offers a range of benefits including generous annual leave, medical cover, and a flexible hybrid working model, ensuring that you can balance your professional and personal life while contributing to impactful journalism. Join a diverse community of experts and enjoy opportunities that challenge and inspire you in a role that connects influential decision-makers across the globe.

F

Contact Details:

Financial Times Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Experimentation Analyst

✨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 Financial Times!

✨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 Experimentation Analyst at Financial Times.

✨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 Financial Times.

✨Apply Directly through Our Website

When you find a suitable opening like Experimentation Analyst at Financial Times, 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 Experimentation Analyst

Analytical Skills
Advanced SQL Skills
A/B Testing
Statistical Analysis
Stakeholder Communication
Data Visualisation
Experimentation Tools (e.g., Optimizely, Amplitude Experiment)

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 Financial Times, 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 Financial Times. 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 Financial Times

✨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 Financial Times!

✨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.