Product Analytics Manager - Subscriptions and Membership

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Condé Nast

New York City, New York (NY) Posted on Mon, 11 April 2022 03:41:54 GMT Competitive Salary Permanent Full Time Source: Condé Nast

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.

Job Description

Come and join the top publishing analytics team in the world. As a Product Analytics Manager, your role is crucial to our mission of delivering an outstanding experience to our loyal and engaged readers and advertisers. The analyst will be working with one of our product groups to deliver actionable insights, dashboards and experiments that help Condé Nast achieve its ambitious product OKRs.

The Analytics Manager should be entrepreneurial, be able and willing to synthesize relevant information to provide guidance for internal stakeholders, influence and communicate effectively, and be an exceptional team player who is proactive, thorough, sceptical, detail-oriented, and highly organized.

Primary Responsibilities:

Provide full-stack analytical support to a focused group of product managers, including OKR measurement and analysis

Work with one of the product pillars to understand business goals and product requirements and specifications to empower them with actionable insights

Participate in the analytics, testing and tracking discussions, to ensure all required data and metrics are appropriately implemented

Produce analytical deep dives, focusing on actionable insights and recommendations, to address opportunities for product improvement

Ideate and design a/b tests with the team; analyze and storytell experiment results with proven statistical methods

Create effective dashboards using data visualization tools

Measure and recommend product feature engagement and performance

Desired Skills & Qualifications:

Previous experience (5+ years) in a similar product analytics role, with a focus on innovative insights/deep dives, experimentation, visualization, stakeholder relationships and/or data storytelling

Exceptional critical thinking, problem-solving and analytical investigation skills

Strong business acumen, product thinking and understanding of customer behaviour

Advanced SQL to extract, manipulate and model data (required)

Hands-on experience with a/b testing and/or multivariate testing tools and statistics, used to optimize consumer experiences

Working knowledge of visualisation tools and methods

Proven ability to work with engineers and product managers on OKRs and tracking implementation of new features and experiments

Excellent communication skills, including synthesis, presentation and storytelling

Preferred: Understanding of statistical models such as linear & logistic regression, clustering and segmentation, etc.

Preferred: Advanced data storytelling and visualization skills

Preferred: Deep understanding of database technologies, specifically relational databases, data warehousing, or other database query tools and languages

Preferred: Advanced data modelling skills and basic knowledge of analytics engineering processes and tools

Preferred: Bachelor’s degree in quantitative field, social sciences, business, etc.

What happens next?

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.

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