Analytics Engineer 5 - Promotional Media

Act as a strategic partner for stakeholders and cross-functional collaborators to identify analytic opportunities and enhance business strategies with automated data solutions Drive the direction and execution of your work, which spans from developing scrappy code to designing high-visibility dashboards and analyses Translate ambiguous creative and quality requirements into measurable objectives and evaluation frameworks Build and maintain observability for our automated pipelines, tracking SLA adherence, performance drift, and other key health signals to confirm our systems are performing as intended Partner closely with machine learning engineers and scientists to improve our asset creation and recommendation models, and accelerate the productization of data insights Share your innovation and collaborate with the broader analytics community to strengthen analytics enablement Become a knowledgeable practitioner/expert in our space, both as the go-to person regarding tooling and methodologies, and as a liaison with the stakeholders, understanding their business needs and how to fulfill them Proven track record of designing and developing scalable analytic tools and systems High proficiency in standard tech stack (e.g., Python, SQL, Spark) and common data visualization tools (e.g., Plotly Dash, Tableau) Familiar with the fundamentals of Statistical Inference and Data Analysis, as well as data engineering best practices 5+ years of relevant experience in building data products powered by big data Experienced in orchestrating cross-functional stakeholders without direct authority, and leveraging analytics to steer business decisions Exceptional communication and collaboration skills coupled with strong business acumen Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process Bonus points if experienced with pipelines and visualizations involving media files (images and video)