Head of Growth Analytics at Automatic

Automattic believes in making the web a better place and making their workplace a happy place. They hope you can join them on this journey!

They are the people behind, Tumblr, Jetpack, WooCommerce, and more. They are seeking a Head of Growth Analytics to join their Marketing team to help them drive growth with data, insights, and technical solutions. You will build out a new Growth Analytics function tasked with improving, building, and optimizing their data analysis tools, architecture, and processes. Ultimately your goal will be to turn sophisticated data into meaningful business insights and decisions in a fast-paced and fast-growing environment.

Key Responsibilities

  • Own the overall data strategy for growth analytics. Partner with the central data engineering and analytics teams to design and implement data pipelines, schemas, business intelligence, and experimentation tooling to enable world-class growth analytics.
  • Work with the MarTech and central data team to influence their overall data ingestion and analytics strategy.
  • Partner with fellow Marketing team members to identify the biggest areas of opportunity from a growth perspective while building out the vital capabilities to properly measure the incremental impact of all tactics and strategies.
  • Develop an analytics strategy and roadmap that anticipates future growth analytics needs and scales with Automattic’s business.
  • Build out, lead, and mentor a team of highly motivated and hardworking growth analysts and growth scientists to accelerate their business decision-making.
  • Be a crucial cross-functional leader connecting the dots between Marketing, MarTech, central data, finance, and product engineering to champion growth data projects.
  • Lead and run a meticulous testing function across marketing to ensure experiments are designed properly, executed correctly, and measured accurately.
  • Own and build out the data capabilities to run exploratory and post-launch analysis to identify growth opportunities and help accelerate and direct test iteration.
  • Apply their predictive modeling capabilities and evaluate the impact on targeting, personalization, messaging, and offer optimization, and influence further development of ML for growth.


  • Have experience working with a global subscription-based product. Using your discernment, you can translate business problems into analytical questions and use data from various sources to find answers.
  • Have worked with large volumes of data spanning multiple business lines and ingested into lakes, modeled in warehouses, and presented in business intelligence platforms like Looker.
  • Aren’t scared by sophisticated data architectures and evolving data models. You thrive in an environment where you can come in with a new perspective, identify the challenges, put together a prioritized plan to tackle these challenges, execute and adapt that plan over time, and consistently look for improvement opportunities.
  • Are curious, have outstanding analytical and problem-solving capabilities with a razor-sharp eye for detail. Deeply understand the methodologies for experimental precision, but also can defer to practical (or even hacky) decision-making frameworks for speed.
  • Are an SQL master, highly skilled in data analysis and visualization. Must be interested in up-leveling the state of their reporting infrastructure for day-to-day decision-making.
  • Have significant experience with Looker and integrations with internal databases, home-built dashboards, and data tools (Hive, Impala, Airflow).
  • Are a strong proactive communicator and writer, and comfortable with the setting and managing your own priorities.
  • Have excellent quantitative skills and are very comfortable with data, statistical modeling, and analysis.
  • Are a cross-team collaborator, able to effectively work with teams across multiple departments, time zones, and functions. You love to discover and tell the story behind the data.
  • You have previous experience working with Marketing teams and using data to drive business growth.
  • You have startup experience working in a scrappy environment and a track record of building out world-class growth data teams.
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