Data Analyst, FT Strategies
Hybrid
London, United Kingdom
Full Time
24-04-2025
Job Specifications
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
The Data Analyst will work closely with clients on consulting engagements across organisations within media and other sectors to solve sophisticated business problems.
We are looking for a dedicated and passionate individual to join our FT Strategies team within the Financial Times. You will be joining a fast-paced and dynamic work environment as we scale our consulting business. You will be central to that growth, shaping how it succeeds and will be an early team member of a funded startup within an established institution - a very rare opportunity.
FT Strategies has deep connections in place with our FT colleagues, often collaborating with and drawing expertise from our in-house Customer Analytics and Research team which is made up of data analysts, architects, engineers and scientists.
Key Responsibilities
Actionable Analytics
Deliver impactful insights to advise strategic decisions
Lead the analytics components of client projects
Apply compelling storytelling through best-in-class data visualisation and statistical analysis
Technical Expertise
Collaborate with collaborators to collect, clean, and interpret data from diverse sources
Analyse large, sophisticated datasets to solve business challenges
Work with web, content, and subscription data to deliver actionable insights
Guide experimental design, including A/B testing and statistical validation
Act as a bridge between clients and FT data specialists as needed
Commercial Savvy
Understand and align with clients' strategic goals, using analytics to support and enhance their direction
Stay updated on FT developments and advise on how they impact client user experiences and behaviours
Essential
Required Skills and Experience
3+ years in a data analysis role, preferably in web or customer analytics
Proficient in tools such as SQL, Python, R or Excel
Experience with A/B or multivariate testing and statistical analysis
Ability to interpret data across business functions and connect with clarity
Proven success in managing multiple projects and collaborator relationships
Creative problem solver with attention to detail and a proactive attitude
Demonstrated impact through data-led organisational change
Desirable
Degree or equivalent experience in a numerate subject (e.g. Maths, Statistics, Economics, Computer Science)
Experience with analytics platforms like Google Analytics
Knowledge of subscription or media business models
Consulting experience (not required but a plus)
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’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible.
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.
About the Company
About the Financial Times The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community. Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com. Subscribe at subs.ft.com. Know more
Related Jobs
- Company Name
- JPMorganChase
- Job Title
- Data Management Associate
- Job Description
- Job Description Are you experienced within financial services and have strong analytical skills? Then you found the right position for you! As a Data Management Associate, within the Chief Data Office (CDO), you will be focused on delivering business impact through transformation of Data Quality management. You will be required to work with stakeholders across the Commercial and Investment Bank (CIB), other Line Of Businesses (LOBs) and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units. This is an outstanding opportunity for you to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs. Job Responsibilities Implements and supports Data Quality (DQ) practices across the CIB, , in support of the Firm’s broader efforts around BCBS 239 Discovers and documents data lineage to trace the end-to-end data journey from point of creation to consumption to support regulatory requirements, e.g. BCBS 239 Partners with operations, technology and product control organizations to document data quality controls across the data lineage for critical data flows Builds strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts Provides data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis Accelerates data quality issue level root cause analysis and resolution through effective program governance, process/data mapping and data deep-dives Queries data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues Discusses and agree technical resolutions with technology teams to remediate DQ issues Leverages productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences Required Qualifications, Capabilities, And Skills Experience in financial services with data analytics / data management / project management/ business analysis background Strong understanding of data governance, data quality, data lineage and metadata management concepts Experience in working on projects and programs focused on data quality, data lineage, data control documentation and metadata management Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.) Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard Basic understanding of the company's business practices and familiarity with the company's products and services Preferred Qualifications, Capabilities, And Skills Experience in a CDO or Data Quality organization within an investment bank or large financial services firm Experience in querying database/data stores for data analysis Experience in producing PowerPoint presentations for senior audiences About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
- Company Name
- Expedia Group
- Job Title
- Data Scientist II, Marketing Analytics
- Job Description
- Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. The Traveler Business Team builds and drives growth for our global consumer businesses—Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. The Supply Marketing team is a marketing powerhouse known for effective strategies and exceptional talent. We use insights to create impactful stories and influence partner behavior, driving measurable success and a deeper connection to Expedia Group. Through collaboration and valuable propositions, we drive the growth of both our partners and Expedia Group Growing Supply depth and quality is core to Expedia Group's strategy - we want travellers to trust they’ll find the perfect fit at a competitive rate. As a member of the Hotel & Sales Analytics team, you will leverage data and analytics to help drive decision related to both acquisition of new partners and engagement of existing partners. You will ultimately impact millions of travellers around the world. We are looking for a passionate and experienced Data Scientist to provide valuable insights and decision-making support to Expedia’s Supply Marketing leadership while partnering with Analytics, Engineering, Brands and Strategy & Transformation colleagues. In This Role, You Will Collaborate closely with stakeholders to define relevant KPIs and initiatives driving supply growth; translate business needs into analytical solutions, and align on project priorities Build comprehensive marketing data ecosystem in collaboration with data engineering teams; build robust and actionable self-service capabilities to be used by stakeholders, peers and Expedia Group Leadership; build advanced analytics solutions and models to help define and measure causality Advise stakeholders through clear communication and relevant insights, acting as data-driven advisor to business Display a proactive mindset, strive for continuous process and structural improvement, and use critical thinking to propose innovative solutions. Experience And Qualifications 4+ years of experience in a data focused company environment (analytics, data science, consulting, etc.) and have an academic background in a quantitative or business discipline 3+ years SQL and Python (or similar) coding experience, incl. applied experience on advanced statistical/predictive modelling projects; Marketing analytics projects a plus (MMM, MTA, Channel Incrementality, Segmentation, ...) 2+ years experience with data visualization tool; Tableau a plus Knowledge on Marketing pixels and conversion APIs a plus; Knowledge on Digital Analytics/Web analytics a plus Excellent Business acumen, problem-solving, intellectual curiosity and self-motivation skills. You strive in collaborative environment, have a passion for driving business impact and execution, and are a team player. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
- Company Name
- Millennium
- Job Title
- Software Engineer - Systematic Data Platform
- Job Description
- We are building a world class systematic data platform which will power next generation of our systematic portfolio engines. We are looking for a core software engineer that will work for our Systematic Data Platform group. The hire will be responsible for expanding and optimizing the architecture of our data platform and data tools, as well as building data related application for cross-functional teams. The ideal candidate is an experienced software engineer who enjoys optimizing data systems and building them from the ground up. Responsibilities Create and maintain optimal data platform architecture and implementation, Build data applications and tools to help data onboarding, and provide actionable insights into data discovery / permissioning, operational efficiency and other key business metrics. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and availability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. Work with stakeholders from both the business and technology to assist with data-related technical issues and support their data infrastructure needs. Create data and analytical tools for internal customers that assist them in building and optimizing our data organization into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications 3+ years’ working experience with Bachelor degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Experience with object-oriented/object-function languages: Python, Java, Scala, etc. Strong algorithms and data structures Experience with databases e.g. SQL Server, Oracle, Redshift, BigQuery, SnowFlake. Strong interpersonal and communication skills Can work independently and in a collaborative environment. Can handle several projects with different priorities at the same time in a fast-paced environment. Excellent self-management and problem-solving skills.
- Company Name
- KDR Talent Solutions
- Job Title
- Senior Data Analyst
- Job Description
- Senior Data Analyst| Remote (1 day a month in London) | £40,000 + Benefits The Company Our client is a purpose-driven organisation, a non-profit company dedicated to empowering youth services across England by delivering transformational funding through a government-backed initiatives. With a strong legacy in supporting social enterprises and charities, they’re at the heart of making impactful change happen. The Role Our client is seeking a detail-oriented Senior Data Analyst to join their growing Data & Analytics team. This is a pivotal role that offers an opportunity to provide high impact analysis that will help formulate business decisions. As the Senior Data Analyst who will spend your time navigating between the business & stakeholder needs as well as providing key impactful data analysis that you will provide through Tableau Dashboards. This role involves: Use of Salesforce and Tableau to monitor and report on key business data Analyse data to inform strategic decisions and present to senior stakeholders, including government Develop and maintain robust data quality assurance processes for data accuracy Your Experience You’re a data-savvy professional who thrives on accuracy and impact, with a passion for meaningful work. You bring: Strong experience in data analysis Proficiency with Tableau Confident Excel skills and a sharp eye for numerical detail Experience (or strong aptitude) with Salesforce CRM or any other CRM system Excellent communication skills and ability to work across functions A commitment to equity, diversity, inclusion, and continuous improvement Next Steps This role is a fast-moving opportunity. If you’re interested in combining data excellence with social impact, hit the apply button today or get in touch for a confidential chat.