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Director, Business Intelligence & Analytics

Posted 4 days agoViewed

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💎 Seniority level: Director, 12+ years

💸 Salary: 185500.0 - 271300.0 USD per year

🔍 Industry: Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff over 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

🗣️ Languages: English

⏳ Experience: 12+ years

Requirements:
  • 12+ years of experience in data analytics in an enterprise environment.
  • Proficiency using python (e.g. pandas, numpy) or R for data exploration and analysis, and experience with modern business intelligence and data visualization tools such as Looker, Tableau, and Superset  and storage & data management technologies including Snowflake and Athena.
  • Experience leading, building and managing  business intelligence, product or data analytics teams in a remote, preferably global environment.
  • Experience working with executive and board level reporting. Seamlessly distilling complex data into concepts and insights that achieve the desired business outcomes.
Responsibilities:
  • Defining, establishing, and documenting standards, governance, and data stewardship.
  • Lead and oversee a team building a robust self-serve data product ecosystem.
  • Define, implement, and optimize data-driven approaches that measure and drive product performance.
  • Identify and drive process improvements, automation, development of analytic models and other tools including reports, dashboards, and data visualizations.
  • Establish requirements for data collection & storage:  As well as methods & tooling for analysis -- by analysts as well as by stakeholders on their own
  • Regularly review target setting, monitoring, analysis and the creation of requirements for the data infrastructure for R&D’s KPIs and product performance metrics.
  • Leverage  insights from our customer behaviors in and out of product to answer complex business questions.
  • Analyze data to identify growth opportunities around retention, conversion, upsell and cross-sell and other revenue opportunities..
  • Collaborate with teams and executives to align data projects, presenting insights that influence strategic decisions and foster collaboration across the organization.
  • Cultivate a culture of data-driven decision-making, empowering teams with effective tools for data exploration and promoting an environment where diverse perspectives are valued
  • Build and lead a dedicated Business Intelligence team to develop a culture that focuses on customer impact and a customer first mindset by using data to make informed decisions.
  • Partner with Product Management, Engineering, FinOps, Operations, GTM and Strategy to ensure outcome alignment on critical R&D programs and initiatives.
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💸 195300.0 - 244200.0 USD per year

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  • 12+ years of experience in data analytics in an enterprise environment.
  • Proficiency using python (e.g. pandas, numpy) or R for data exploration and analysis, and experience with modern business intelligence and data visualization tools such as Looker, Tableau, and Superset and storage & data management technologies including Snowflake and Athena.
  • Experience leading, building and managing business intelligence, product or data analytics teams in a remote, preferably global environment.
  • Experience working with executive and board level reporting. Seamlessly distilling complex data into concepts and insights that achieve the desired business outcomes.
  • Defining, establishing, and documenting standards, governance, and data stewardship.
  • Lead and oversee a team building a robust self-serve data product ecosystem.
  • Develop & Own Product Analytics Strategy for R&D
  • Identify and drive process improvements
  • Establish requirements for data collection & storage
  • Regularly review target setting, monitoring, analysis and the creation of requirements for the data infrastructure for R&D’s KPIs and product performance metrics.
  • Leverage insights from our customer behaviors in and out of product to answer complex business questions.
  • Analyze data to identify growth opportunities around retention, conversion, upsell and cross-sell and other revenue opportunities.
  • Collaborate with teams and executives to align data projects, presenting insights that influence strategic decisions and foster collaboration across the organization.
  • Cultivate a culture of data-driven decision-making, empowering teams with effective tools for data exploration and promoting an environment where diverse perspectives are valued
  • Build and lead a dedicated Business Intelligence team to develop a culture that focuses on customer impact and a customer first mindset by using data to make informed decisions.
  • Partner with Product Management, Engineering, FinOps, Operations, GTM and Strategy to ensure outcome alignment on critical R&D programs and initiatives.
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🏢 Company: Intellum, Inc.

  • ~8-12 years in Business Intelligence, Analytics, or FP&A Analytics, mostly in SaaS
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