Director Of Data Analytics

Director Of Data Analytics - Detalhes da Vaga. ● This Director will contribute at a strategic level and will steer our strategy with their insights. ● This role manages a full-time data analyst and supports key stakeholders in Marketing, Sales, Product, and Engineering to better understand the metrics, trends and insights behind the business. ● This role reports to the Chief Financial Officer. ●Your ImpactOwn our data strategy. ● Lead the planning, prioritization and deployment of all data initiatives for the company, including dashboard development, ad hoc analysis and predictive analytics projects. ● This includes driving the vision of AI use within dataDrive analytics and insights by being a thought leader and authority for the company on trends of key business metrics (ie. ● LTV, CAC, ARR, ARPA, Churn, and AOV). ● Maintain and establish analytical frameworks to support product, business and operational decision making. ●Manage dashboards, reports, and visualizations using our data warehouse (Snowflake), transformation layer (DBT) and visualization solution (Looker) Collaborate and provide thought leadership across departments (Marketing, Product, Engineering, Sales and Finance) to understand and support ongoing and new data requirements, driving data development projects and improvements Conduct in-depth analysis of conversion rates in purchase funnels and subscriber churn, providing strategic recommendations for optimization. ●Develop predictive models to identify trends or make connections between disparate data sources that yield insights to drive more informed decision makingEnsure data quality and governance: Build and maintain systems to ensure data accuracy, consistency, and reliability across the organization. ●What You Bring7+ years experience in data management role in a subscription/SaaS business Proven experience in business intelligence, with a strong background in data analysis and visualizationLeadership experience with the ability to manage and grow a BI-focused teamProficiency in SQL and familiarity with data warehousing and visualization technologies like Snowflake, Looker, DBTUnderstanding of key business metrics and their impact on subscription and transactional modelsExcellent communication skills, with the ability to translate complex data insights into actionable business strategiesExperience in data science and predictive analyticsStatistical background including model building experience a significant plus. Requisitos para participar do processo. ● . O que oferecemos.