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Head of Data
hace 2 meses
What you’ll bedoing
● Building andLeading a Data Organization: Develop and manage a comprehensivedata organization that encompasses Data Science, Data Analytics,and Data Engineering teams.● Data ScienceLeadership: Direct a team of data scientists to create advancedmodels for predictive analytics and machine learning, tackling keyissues such as demand forecasting and task prioritization based oneconomic impact.● Proactive Data Insights:Generate strategic insights by closely monitoring user engagementand performance data, influencing product development andoperational strategies.● EmpoweringSelf-Service: Facilitate a culture of data-driven decision makingby empowering technical product managers and engineers withself-service analytics tools to independently extract and analyzedata.● Data Analytics Management: Oversee adynamic team of data analysts working collaboratively with productmanagement and engineering to provide critical support inexperiment analysis and insightsdissemination.● Advanced Dashboarding:Enhance and refine key operational dashboards to improveaccessibility and usability, providing critical data at a glance tosupport daily business decisions.● StrategicAdvisory: Serve as a principal data consultant to the executiveteam, utilizing data-driven insights to guide strategic decisionsand highlight performance drivers.●Communication and Storytelling: Utilize exceptional communicationskills to articulate complex data insights through compellingstories and presentations that resonate with allstakeholders. ● +6 years in Data Analytics,Business Intelligence or Data Science, including a minimum of 3years in a leadership role within a high-growth, startupenvironment. ● Expertise inadvanced analytics and data reporting, with a keen ability todistill complex datasets into meaningful businessdecisions. ● Demonstratedcapability to build, mentor, and lead high-performing data teams ina dynamic, outcome-focused techenvironment. ● Exceptionalleadership and stakeholder management abilities, with a focus onnurturing team growth and aligning data initiatives with businessgoals. ● Proven ability toeffectively communicate complex data concepts and recommendationsto senior management, ensuring clarity and actionableinsights. ● Extensive background informulating data strategies and managing data operationsefficiently. ● Comprehensiveknowledge of data architecture, including Data Warehousing, ETLprocesses, and Data Integration. ●English level: B2 or above. ● Plus:Advanced familiarity with our tech stack (BigQuery, Looker,Airbyte, and dbt). ● Plus:Extensive background in datagovernance.
