Posted 7 days ago

The Central Analytics team—part of the wider Audience Development, Analytics, and Social team, which sits in the Marketing organization—gathers data across Condé Nast’s many brands and markets, in primarily two buckets: 1) audience, content, and channels (i.e., email, search, and social) and 2) consumer revenue (affiliate, commerce, and subscriptions). Part of our mission is to make that data accessible to analysts embedded with the brands, as well as less technical stakeholders, in order to enable their strategic as well as tactical decision-making with turnkey analysis and insights.

As Associate Director of the Central Analytics team’s new Data Access & Enablement function, you will lead a team that leverages a variety of tools and approaches to standardize and automate as much of our reporting as possible, across those data buckets, in order to help achieve that mission. That will include dashboards that you’ll design and build in a variety of environments—from lighter weight ones, like Google Sheets, to heavier ones, like Mode—while also keeping an eye on the underlying data infrastructure that we partner with the company’s centralized engineering teams to maintain and govern.

This role goes beyond just business intelligence, requiring not just that technical competence, but also an understanding of digital media business models and corresponding KPIs. You will have a strong quantitative skill set, a solid grasp of data modeling and visualization, and an ability to learn and understand concepts and metrics related to digital audiences, content, channels, and consumer revenue. You will also be comfortable working collaboratively across different regions and in a fast-paced environment, with an exacting eye for detail and data quality.

Responsibilities

  • Standardize, templatize, and automate common reporting needs. Look across similar, but different, reporting and analysis use cases from over a dozen brands, to find and distill commonalities that you can then automate, using any variety of tools and approaches.
  • Leverage a variety of tools and approaches for dashboarding. Depending on the user, use case, and volume of data that you are working with, switch between heavier, more robust tools (e.g., Mode, Qlikview)—or more lightweight, if less robust, ones (e.g., Google Sheets) that can integrate better with deliverables (e.g., Google Docs).
  • Enable self-service and turnkey reporting. Create dashboards where analysts can find answers to questions about audiences, content, and channels on an ad hoc basis. But also find ways to embed components of those dashboards in the analysts’ standard deliverables, reducing the time that it takes to put those together.
  • Design and build user-friendly dashboards with high adoption rates. Regardless of the tool or approach, keep user experience in mind, creating visually engaging and relatively frictionless data environments.
  • Teach and learn from your users. Document and train users on how to use your dashboards and automate their reporting as much as possible. Also establish lines of communication with your users, to learn their objectives, gather their requirements, and tailor your tools to their use cases as well as possible.

Skills

  • General:
    • Proven experience in business intelligence, working with enterprise data visualization tools to build compelling and engaging dashboards, as well as automating reports outside those dashboards
    • Reliability, with an eye for detail and an obsession with accuracy
    • Solid oral, written, presentation, collaboration and interpersonal skills
    • Self-starter with the ability to multi-task and with a proven ability to handle multiple deliverables with tight deadlines
  • Languages:
    • Experience using SQL-based exploratory analytics tools
    • Google Apps Script a plus (or else will have to learn on the job)
    • Python or R a plus
    • D3.js a plus
  • Technologies:
    • High proficiency in spreadsheets (Excel, Google Sheets), especially in how to automate data wrangling and analysis
    • Familiarity with querying relational databases
    • Understanding of data visualization and principles
  • Analytics:
    • Web
    • Basic understanding of statistics
    • Video a plus
  • Platforms:
    • Google Analytics
    • YouTube Analytics a plus
    • Visualization tools like Tableau, Qlikview, Looker, ggplot/matplotlib or equivalent
Mission
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Associate Director, Data Access & Enablement (Audience & Content Analytics)