WHAT YOU WILL DO

• Work with stakeholders to define KPIs, benchmarks, and OKRs to maximize Company level and Team level performance
• Design and develop comprehensive dashboards to provide self-serve analytics solutions to different stakeholders across the business
• Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for data analysis
• Derive actionable insights from our customers behaviors & journeys to maximize the impact of our product, marketing and sales efforts
• Generate data-driven hypotheses and advocate on testing best practices, contributing to accelerate our testing cycles
• Create trainings and documentation to ensure consistency and adoption of our data solutions and recommendations
• Collaborate, learn, share and brainstorm with the rest of the Data team
• Participate in shaping the dynamics and processes of the Data team, including our onboarding, hiring, and team goals

WHAT WE ARE LOOKING FOR

• You enjoy creating compelling data visualizations and ensuring they’re adopted by stakeholders across the business
• You have experience with a business intelligence tool (e.g. Metabase, Looker, Tableau, Mode)
• You are proficient with SQL
• You have well developed analytical skills, with the ability to craft data into actionable insights
• You value simple and effective solutions over complicated models
• You can clearly communicate complex concepts, making them sound simple
• You have experience with AB and multivariate test design and implementation
• You enjoy working async in a distributed team
• You are empathetic, collaborative, and self-motivated
• You enjoy providing and receiving feedback to grow and help others grow

It’d be great if:

• You have experience working in SaaS
• You have experience working with dbt
• You’re proficient with Metabase
• You’re proficient with Python/R
• You have experience with Amplitude
• You are familiar with Segment and have previous experience with tracking definition

GOALS YOU WILL CONTRIBUTE TO OR OWN

• Enable agile data-driven decision making
  • Shape Maze’s metrics framework and implement self-service reporting solutions to ensure top business questions are answered seamlessly
  • Proactively share actionable data insights and recommendations. Ensure their adoption across the business through follow-ups, trainings, etc.
• Optimize our customers journeys and growth loops
  • Identify our main levers of growth and help defining our activation flow, from set-up to habit and aha! moments
  • Help defining our target audiences by segmenting our users, and participate in shaping our Ideal Customer Profile and Customer Buyer Personas
• Accelerate and unify our testing cycles
  • Build and maintain a framework for measuring the success of product and marketing experiments

Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either *United States* or *Rest of World*) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package.

The typical compensation for this role ranges from $72,000 to $121,000. Your salary is dependent upon many factors, including years of experience, expertise, etc. Don’t let the typical compensation range for this role stop you from applying; during your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations.

Thoughts to share about how Maze communicates compensation? We’re open to hearing your insights and feedback.

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