Analytics Engineer, Media Science

Job Description: • Be a strategic partner for Content & Business Product PMs and Content Operations teams, developing and executing new measurement frameworks, and identifying analytic opportunities to assess the effectiveness and business impact of product solutions supporting media production workflows • Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product leadership • Establish and maintain strong partnerships with a variety of business, product, and data-oriented stakeholders, working directly with them to introduce and influence data-informed ways of working • Present your analytical methodology and findings effectively to both technical and non-technical partners • Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate data analysis Requirements: • 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders • An expert in the standard tech stack (i.e., SQL, Python) and intuitive dashboard/visualization design using common data visualization tools (i.e., Tableau, Plotly, Streamlit) • Exceptional communication and collaboration skills coupled with strong business acumen • Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process • You connect the dots across stakeholder needs and independently drive projects forward • A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table • You are known for developing and deepening strong relationships with a wide variety of stakeholders. • You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data • Comfortable taking (smart) risks in your work and thrilled about innovating in the Content Production domain • Experience designing observational causal inference studies and A/B tests, driving strategic decision-making through its findings is a plus. Benefits: • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. • Full-time salaried employees are immediately entitled to flexible time off. Apply tot his job