Sr. Data Analyst, Programmatic Advertising

Our Data & Analytics team is at the very heart of what makes PulsePoint an innovative, fast-paced and market changing company. This is an exciting opportunity to support the Legal omnichannel/programmatic strategy, collaborate with Legal business leaders, and help our parent company expand the Legal vertical into programmatic capabilities. In short, they are the conduit through which we will revolutionize health decisions through real time data. What You’ll Be Doing: • Audience model development for Legal • Develop audience characteristics • Provide close analytical support to campaign management to develop, optimize, and troubleshoot campaigns and audience deployments • Work with Product and Data Engineering teams to turn the models into a “test and production” environment (e.g., prepare data aggregates and data pipelines to facilitate the insights and put the audience model to work against the bidstream) • Collaborate with internal teams to delight our customers with timely and accurate data reporting which meets all requirements; • Research & implement new data products or capabilities • Automate data visualization and reporting capabilities that empower users (both internal and external) to access data on their own thereby improving quality, accuracy and speed • Synthesize raw data into actionable insights to drive business results, identify key trends and opportunities for business teams and report the findings in a simple, compelling way • Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting or measurement • Enhance PulsePoint's data reporting and insights generation capability by publishing internal reports about Health data • Act as the “Subject Matter Expert” to help internal teams understand the capabilities of our platforms, how to implement & troubleshoot What other things would get us excited about you: • One of: • ELT experience • Tableau/Looker/PowerBI • Experience with automation • Stats background • Able to organize large data sets to answer critical questions, extrapolate trends, and tell a story • Familiarity with health-related data sets • Project Management skills