We are looking for a BI Team Leader.
What Will You Do?
Lead and mentor the BI team, fostering a culture of collaboration, innovation, and excellence in analytics delivery while owning both team deliverables and cross-functional outputs that serve the organization.
Define and execute the BI strategy and roadmap, aligning with business goals and ensuring that analytics directly support organizational priorities.
Evaluate and manage vendor and technology relationships related to BI tools, cloud data warehouses, ETL/ELT frameworks, and dashboarding platforms.
Partner with senior stakeholders across Sales, Product, Customer Success, Marketing, and Cloud/Ops to identify opportunities, define KPIs, and enable data-driven decision-making.
Oversee the companys data ecosystem, including the data warehouse (DWH), data pipelines, dashboards, and reporting frameworks, ensuring reliability, scalability, accuracy, and security.
Integrate internal and external data sources to deliver timely, high-quality dashboards, reports, and insights that drive business impact.
Promote strong data governance and consistency by standardizing metrics, documentation, and analytics best practices across the organization.
Continuously improve BI capabilities through automation, self-service analytics, and the adoption of modern BI tools and technologies.
What Will You Do?
Lead and mentor the BI team, fostering a culture of collaboration, innovation, and excellence in analytics delivery while owning both team deliverables and cross-functional outputs that serve the organization.
Define and execute the BI strategy and roadmap, aligning with business goals and ensuring that analytics directly support organizational priorities.
Evaluate and manage vendor and technology relationships related to BI tools, cloud data warehouses, ETL/ELT frameworks, and dashboarding platforms.
Partner with senior stakeholders across Sales, Product, Customer Success, Marketing, and Cloud/Ops to identify opportunities, define KPIs, and enable data-driven decision-making.
Oversee the companys data ecosystem, including the data warehouse (DWH), data pipelines, dashboards, and reporting frameworks, ensuring reliability, scalability, accuracy, and security.
Integrate internal and external data sources to deliver timely, high-quality dashboards, reports, and insights that drive business impact.
Promote strong data governance and consistency by standardizing metrics, documentation, and analytics best practices across the organization.
Continuously improve BI capabilities through automation, self-service analytics, and the adoption of modern BI tools and technologies.
Requirements:
3+ years of experience leading a BI or Analytics team, with a strong track record of influencing business strategy and driving measurable impact.
5+ years of hands-on experience in BI and/or Data Engineering environments, with the ability to dive into technical challenges when needed.
Bachelors degree in Business, Analytics, Computer Science, Data Science, or related field.
Proficiency in SQL for data modeling, performance tuning, and query optimization.
Hands-on experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift, preferably Snowflake.
Experience with dbt, Rivery, or similar data transformation and orchestration tools, with a solid understanding of ETL/ELT workflows and best practices.
Hands-on experience with dashboarding and visualization tools such as Power BI, Tableau, Looker, or Qlik.
Strong capability to translate business problems into analytics solutions and into actionable insights, build dashboards, derive insights, and influence business outcomes.
Excellent communication and stakeholder management skillsable to engage business leaders, articulate value of analytics, manage expectations and cross-functional collaboration.
Comfortable working in dynamic, cross-functional environments and managing multiple projects simultaneously.
Hands-on experience with dbt is a strong plus.
Experience with Git & Python.
Experience managing or analyzing ARR and other recurring revenue metrics.
3+ years of experience leading a BI or Analytics team, with a strong track record of influencing business strategy and driving measurable impact.
5+ years of hands-on experience in BI and/or Data Engineering environments, with the ability to dive into technical challenges when needed.
Bachelors degree in Business, Analytics, Computer Science, Data Science, or related field.
Proficiency in SQL for data modeling, performance tuning, and query optimization.
Hands-on experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift, preferably Snowflake.
Experience with dbt, Rivery, or similar data transformation and orchestration tools, with a solid understanding of ETL/ELT workflows and best practices.
Hands-on experience with dashboarding and visualization tools such as Power BI, Tableau, Looker, or Qlik.
Strong capability to translate business problems into analytics solutions and into actionable insights, build dashboards, derive insights, and influence business outcomes.
Excellent communication and stakeholder management skillsable to engage business leaders, articulate value of analytics, manage expectations and cross-functional collaboration.
Comfortable working in dynamic, cross-functional environments and managing multiple projects simultaneously.
Hands-on experience with dbt is a strong plus.
Experience with Git & Python.
Experience managing or analyzing ARR and other recurring revenue metrics.
This position is open to all candidates.
