Live opening · Posted 3 days ago

Experimentation Analyst

Financial Times · London
Greenhouse
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyFinancial Times
LocationLondon
SourceGreenhouse
Listed3 days ago

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About the role

Description supplied by the original job listing.

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
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. We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams.
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.

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