Data Analyst at Rinsed | Torre
Data Analyst
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Rinsed

Data Analyst

Rinsed
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Full-time

Legal agreement: To be defined

Base compensation
USD120k - 135k/year

+ Health insurance

location_on
Hybrid (New York, NY)
Posted almost 3 years ago

Responsibilities

- B2B SaaS company providing car washes with tools to transition to a subscription model - Raised Series B from VMG Technology and Series A from Founder's Fund and Bedrock Capital - Installed at over 1,800 car washes nationally, managing more than 5 million car wash memberships - Competitive salary and benefits including unlimited PTO, health/dental/vision insurance and more - Embraces diversity and is proud to be an equal opportunity employer Rinsed is seeking a detail-oriented, technically-savvy Data Analyst to uncover insights for clients and discover trends in the car wash industry. The role involves collaborating closely with Data Engineering & Customer Success Teams, as well as clients. Responsibilities include generating visualizations and dashboards, developing internal reports, providing answers and insights, hosting knowledge-share sessions, and collaborating with data engineers and the Customer Success Team. The ideal candidate is proactive, detail-oriented, and has strong SQL skills, data visualization tools familiarity, and excellent communication skills. 1-2 years of experience in a data analytics role is preferred. The role offers the opportunity to work hand in hand with Data Engineers, competitive salary and benefits, and an incredible team environment. The estimated annual cash salary for this role is $120,000 - $135,000 USD. Responsibilities: - Generating visualizations and dashboards using BI tool, Metabase, to provide actionable insights into clients’ businesses - Developing internal reports that highlight broader trends in the car wash industry - Providing answers and insights to questions from a diverse range of audiences - Hosting knowledge-share sessions and communicating broader data trends - Collaborating closely with data engineers to ensure data is reliable and accessible for analysis - Collaborating with the Customer Success Team to understand client goals and address data inquiries
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