Product Analytics Manager (12 month FTC)
The Adelphi, London, GB
Applications have closed
Location:
London, GBCondé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month.
We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe.
The Role
As Product Analytics Manager, your role is crucial to our mission of delivering an outstanding experience to our loyal and engaged readers and advertisers. You’ll be working with business-wide stakeholders to deliver actionable insights, dashboards and experiments that help Condé Nast achieve its ambitious product OKRs. You’ll be collaborating closely with the Product, Engineering, and Data Science teams. It’s a global role with immense responsibility and opportunity for impact across our brands.
We’re looking for a strategic partner for the Product & Engineering teams, with experience creating analytical frameworks, collaborating with stakeholders, providing insights and data visualizations, providing data-driven guidance for product stakeholders, influencing and communicating across levels, and is an exceptional team player who is proactive, thorough, skeptical, detail-oriented, and highly organized. Your mission is to support Condé Nast product and engineering leaders in identifying trends, surfacing opportunities, evaluating the impact and trade-offs of product decisions between Conde’s various lines of business, and support long-term strategic decisions that enhance organizational synergies.
What will you be doing?
Provide full-stack analytical support to focused on creating frameworks for measurement of analysis and actionable insights
Manage a team of product analysts
Initiate cross-pillar and matrixed analytics initiatives and strategies across the product and technology organization
Identify efficiencies, opportunities for expanded scope, and meeting global KPIs across for the product and technology group
Scope and deliver a product analytics strategy that supports lines of revenue as well as broad narratives and cross-functional/pillar/enterprise analytics needs.
Partner with relevant teams on the tooling & infrastructure (w/r/t software, platforms, data layers, experimentation) to support the organization
Scope and prioritize cross-pillar product analytics with data engineering, governance, privacy, data science, BI, TPM, privacy
Lead analytics, experimentation and tracking discussions, to ensure all required data and metrics are appropriately implemented for product and applied analytics initiatives
Produce analytical deep dives, focusing on actionable insights and recommendations, to address opportunities for enterprise product improvement
Drive engineering and data capabilities needed around dashboarding tools
Who you are?
Previous experience in a similar product analytics role, with a focus on innovative insights/deep dives, experimentation, visualization, stakeholder relationships and/or data storytelling.
Previous experience managing a team of analysts
Exceptional critical thinking, problem-solving and analytical investigation skills.
Strong business acumen, product thinking and understanding of customer behavior.
Advanced SQL, Python, PySpark to extract, manipulate and model data.
Working knowledge of visualization tools and methods.
Proven ability to work with engineering and product senior leadership on OKRs and tracking implementation of new features and experiments
Excellent communication skills, including synthesis, presentation and storytelling
Bachelor’s degree in quantitative field, STEM, social science, business, or humanities.
Previous experience working with product data, with the ability to provide both big-picture product strategy and optimisation insights
Previous people management experience
Hands-on experience with a/b testing and/or multivariate testing tools and statistics, used to optimize user experiences
Deep understanding of human behavior, including behavioral science
Understanding of statistical models such as linear & logistic regression, clustering and segmentation, etc.
Advanced data storytelling and visualization skills
Deep understanding of database technologies, specifically relational databases, data warehousing, or other database query tools and languages
Advanced data modeling skills and basic knowledge of analytics engineering processes and tools
Where will you be?
We value collaboration, and our team comes together in the office three days a week. Our Adelphi office spans three floors, offering amazing views of the Thames and easy access to the amenities of The Strand. We truly love working here!
What benefits do we offer?
25 days holiday and extra days of annual leave for life events
Hybrid working and core hours
Competitive pension scheme
Bupa Private Healthcare
Enhanced maternity leave and family leave
Season ticket loans
Cycle to work scheme
Employee Assistance programme
Bring your dog to work
A wide variety of wellness benefits including gym discounts
Discounts and Magazine Subscriptions
Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce
Condé Nast Learning Hub where you’ll find you’ll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Clustering Data Warehousing Engineering KPIs OKR Privacy PySpark Python R RDBMS SQL Statistics STEM Testing
Perks/benefits: Career development Team events Wellness
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