Manager, Data Job in Beaconstac

What you will do at Beaconstac: Help create a leading Data Program to support Beaconstac s vision Manage, lead, and develop a High-Performance Team, including day-to-day assignments, bi-weekly milestone planning, 1-1s, quarterly objectives, and annual reviews. Manage operational components of the Data Platform to ensure updated data are available. Work with all divisions to continually grow the value of our Data Platform by onboarding new data from our SaaS Product and Corporate systems. Understand the big picture and demonstrate how your team supports it through prioritization, planning, and solutions. Participate in Monthly Key Reviews to represent Data and stay up-to-date on company developments. Implement the DataOps philosophy in everything you do Continuously develop the Data Team Handbook to ensure it represents the current state of our strategy, processes, and operations Skills you bring to the table: Share our values, and work in accordance with those values 5+ years of hands-on experience in a data analytics/engineering/science role 2+ years of hands-on experience performing quantitative analysis to tackle business problems with a focus on feature and usage metrics to increase conversion and retention OR reporting for key business metrics, including revenue, sales metrics, and customer metrics 1+ years of hands-on experience creating dimensional models composed of facts and dimensions 1+ years leading or managing a team of 3 or more data analysts/engineers/scientists Demonstrate ability to understand and communicate end-to-end data systems: from compute to ETL to Reporting to Analysis Exceptional experience creating and developing partnerships with internal team members toward the delivery of impactful analytics solutions Experience communicating technical concepts to non-technical team members Experience defining and executing project plans at the day, week, and month time spans Ability to break down quarterly objectives into two-week delivery milestones Demonstrably deep understanding of SQL and relational databases (we use Redshift) Experience working with large quantities of raw, disorganized data Must be able to work in alignment with the US timezone.