Senior Data Analyst, Super

• 5+ years experience in data or analytics roles
• Advanced level proficiency in SQL and Python for data analytics
• Experience with 1 or more dashboarding tools, Git & DBT
• Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc)
• Mentorship experience with a keen interest in teaching and peer reviewing work from other team members
• Strong technical and problem-solving skills, with the ability to analyze and model a high volume of relational and potentially unstructured data
• Excellent verbal and written communication skills, capable of presenting data and insights clearly to both technical and non-technical audiences

Desirable

• This role is part of our Analytics & Data Science team
• Being Data Driven is a core value of Super.com and this team plays a huge part in this
• We are long time advocates and users of Snowflake, DBT & Amplitude
• Our data analysts are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model
• This allows our team members to gain deep experience and context into specific business problems and verticals to grow quickly to become subject matter experts
• This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work
• Leverage complex datasets to generate actionable insights that influence product strategy and drive business outcomes
• Design, build, and maintain dashboards and reporting solutions to enable self-service analytics across the organization
• Autonomously identify business challenges that have impactful data solutions and build the right solution to the problem
• Collaborate with product, engineering, marketing, finance, and other teams to scope analytical projects and deliver insights
• Communicate complex findings clearly and effectively through presentations, reports, and data storytelling tailored to various audiences
• Advocate for data quality, governance, and best practices to ensure consistency, reliability, and security of data assets
• Mentor junior analysts and interns and contribute to the growth of the broader analytics community within the organization