Heroku Lead Eng and Operations Analyst

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As an operations analyst, you will deliver key insights and analyses that help Heroku leaders make key decisions that shape strategy, operations, the way we develop products, and much more. You will acquire deep knowledge and understanding of Heroku products and business goals, build and manage cross-functional relationships, and communicate through digestible, relevant, and actionable storytelling. You will manage data and insights, partnering with product managers, engineering leaders and operations teams to deliver data products, such as dashboards, reports and actionable insights. You will use business thinking, collaboration, and analytical practices to wrangle data and deliver relevant and trustworthy insights.

As an Operations Analyst on the team, you are:

• A hands-on analyst
  • You will generate insights (e.g., cost to serve analytics, engineering metrics and program success metrics) to accelerate business growth. This requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing those insights to business leaders & executives
  • You will improve our team's efficiency by implementing automation were possible and developing documentation and optimizing our processes
• A strategic problem solver
  • You grasp the overall context of your business and approach data analysis with a business-oriented mindset
  • You translate business challenges into an analytical plan; you think practically and creatively to craft quick, effective solutions to problems
• A relationship builder
  • You will develop relationships and collaborate with teams to understand business problems and create and implement an analytical plan
  • You are comfortable delivering insights to an executive audience
• A cross-functional partner
  • You will partner with data engineers and product managers to instrument, acquire, develop, and structure data assets that are critical to measuring the success of our products
  • Identify internal and external collaborators to curate data assets and produce actionable data insights and products

• 4-6 years of demonstrated experience in data or product analytics or a master's degree in data science, statistics, applied mathematics, analytics or a related field, or equivalent alternative education, skills, and/or practical equivalent experience
• You are intermediate to advanced in your SQL-writing abilities, including experience with reviewing code, and are proficient with data visualization tools like Tableau, Looker, or similar
• You have experience analyzing data with the business goal of reducing inefficiencies and lowering costs. You are comfortable interpreting that data to aid both financial leaders and engineering leaders
• You are comfortable developing documentation for dashboards and processes
• You excel at telling data stories in a wide range of formats, including slides, charts, and dashboards and can coherently articulate the business impact of your insights product

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