Data Analyst

Data Analyst

Department: Engineering

Reports to: Engineering Manager

Full Time – Exempt (Salary)

Salary Range: $90,000-$130,000

Location: Remote

Company Description:

Revive offers technology solutions to help brands maximize inventory productivity via data-driven refurbishment services. We are creating circular & sustainable collections with brand partners by extending the life of every garment we touch. Revive’s focus on technology, innovation, and sustainability is changing how consumers and brands view the garments they buy and produce.

Job Summary

We are seeking a Data Analyst to help us make informed decisions from our data today, and help us build and transform our data to give us even more strength in the future. You will work directly with business stakeholders across the company to understand what insights they need to make strategic business decisions, and partner with them and our Engineering team to meet these needs with our data. You will be responsible for creating reports and visualizations for these different teams, and define key metrics with these partners that help us understand how our business is performing. You will also work closely with our Analytics and Data Engineers to continuously improve upon and expand our core data model that serves as the heart of our reporting capability, and serve as the key link between our business partners and Analytics Team. You will be successful in this role if you thrive when you’re able to own a problem all the way from discovery to delivery, and if you enjoy taking ownership in setting the groundwork for how our team will function into the future.

This job description is intended to describe the general nature and level of work performed by a Data Analyst at Hemster, Inc dba Revive. It is not intended to include all duties, responsibilities and activities. Duties, responsibilities and activities may change at any time with or without notice.

Duties / Responsibilities:

• Work closely with cross-functional stakeholders to help them identify opportunities to make improvements in their departments
• Build and maintain dashboards, reports, and data visualizations in Metabase that enable us to make decisions with confidence
• Collaborate with Engineering to further develop our core business model to support scalable, accurate reporting
• Effectively communicate and understand complex business activities, technical requirements, and recommendations to the relevant stakeholders
• Identify opportunities to expand our analytics capabilities through new technologies and tools

Requirements:

• >5 years of professional experience in an analytics role
• Thrived at early stage startups and experience with building new capabilities from the ground up
• You’re fluent in SQL, and you can find a way to write a query to answer any question
• Strong knowledge of manipulating and modeling large data sets
• Experience using dbt for transforming data and creating data models
• Experience building dashboards and reports in a BI tool
• Comfortable collaborating across teams with diverse data needs to identify analytics problems and make a path forward to solve those problems
• Background in ecommerce or with companies within or adjacent to the fashion industry

Preferred Qualifications:

• You relish the opportunity to join a small team that’s growing aggressively, and take a part in defining the future of our company
• You work best when you’re given ownership to solve problems, not simply take solutions that are handed to you
• You let your curiosity guide you, and you are able to use data to prove or disprove hypotheses
• You incorporate new tools that enable you to be more efficient into your workflow
• You want to join a team that encourages moving fast, taking calculated risks, and supports learning from our mistakes
• You communicate frequently, and know when it’s the right time to bring other people in for support
• You’re driven by a desire to turn today’s weaknesses into tomorrow’s strengths

Position Type / Expected Hours of Work:

This is a full-time, exempt position, with typical work hours of 40 hours per week, Monday through Friday.