As a firm believer in the power of data to change the world, and as someone who’s highly skilled both at telling accurate stories from data and building brand-new data-based tools, you’re going to love this gig, we just know it. This household name of a cable network needs somebody just like you to gather and formulate its data requirements and lead their implementation. There’s a ton of ownership and the creation of new structures and processes, so you can count on leveraging your project-management and organizational savvy as you infuse the company with cutting-edge analytical acumen. Sounds pretty hot, right?
Nitty Gritty
Job one will be building out a team and overseeing (as architect) the implementation of a data pipeline and data warehouse platform for harvesting the insights from the company’s various digital platforms. You’ll need to take a careful look at what’s already being used by the programming, marketing and digital teams and then decide on the proper KPIs and, armed as you are with a deep-rooted ability to distinguish between real and vanity metrics, you’ll identify the crucial data points for telling the right stories as well as finding the “story behind the story.” You’ll be setting up dashboards and data visualization tools and laying the groundwork for some sophisticated data work, including multivariate testing and personalization. Everything you build will be tested and optimized on an ongoing, reiterative basis, and will include robust dashboards and reporting features so that you can get all the various groups and stakeholders on board with what you’re learning.
That last part, of course, is critical: Getting people in development, design, product, editorial, finance, business development (and beyond) excited about what your data tools can tell them about their worlds. You’ll be just as much a communicator as a builder, helping people with little to no understanding of analytics incorporate your on-point insights into their work on both the tactical and strategic levels.
Hired Gun Profile
Data science is not a phase you’re going through — you majored in it (or maybe stats) in college and have labored in analysis roles lo this past half a decade, because you love it and are damn good at it. Rather than blandly reporting a fact (let’s call it “X”), you quite naturally go digging, with genuine interest, and enthusiastically report, “I noticed X and queried the data set three different ways and found out Y.” You’re totally in your element mucking about in Excel, SQL, Python, R, SAS, Tableau and other such tools.
But here’s the thing, and we’ll try to put this tactfully: You may have noticed that some of your peers have tendencies toward being the Silent Geek, or The Self-Described Smartest Person in the Room, or the Big-Britches who all but says, “I’m bringing my Google juice to the natives.” You’re none of those things. You’re a natural communicator who integrates comfortably into organizations and meets people where they’re at. You’re interested in delivering insights, not just information. And you’ve done enough supervising to show that you’re well cut out for managing and mentoring team members and guiding innovation in product, project and resource management.
Inside Skinny
We’d love to hear stories about major analytical wins, but don’t forget to demonstrate your abilities as a relationship-builder.
Net Net
This is a perfect step up for somebody who’s been growing in data analysis roles and is ready for a greater share of ownership and managerial responsibility.
All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, creed, age, sexual orientation, veteran status, marital status, disability, or any other status protected by applicable law.
