Data Analyst (Remote)

work from home job; Orlando (FL); Remote; USD 60,000 - 80,000; Full time

Job summary

An innovative fitness technology company is seeking a Data Analyst to join their team. The role involves advanced SQL usage, assisting in experimental design, and contributing to reporting infrastructure development. Ideal candidates will have 1-2 years of experience, familiarity with ecommerce/B2C environments, and strong communication skills to relay insights to stakeholders. This position offers the opportunity to impact business decisions significantly as the company scales rapidly.

Qualifications

• 1-2 years of experience in data analysis.
• Advanced SQL skills for daily usage.
• Experience in ecommerce or B2C environments is beneficial.

Responsibilities

• Assist with experimental design and interpretation of results.
• Build reporting infrastructure and data models.
• Contribute insights to key stakeholders effectively.

Skills

SQL experience

Ecommerce OR B2C experience

Ability to communicate insights

Python or R

Tools

Looker

dbt

Job description

Data Analyst

Our client has created a new category of in‑home fitness with cutting‑edge hardware, responsive software, and best‑in‑class content. This innovative client is looking for a data analyst to join their team.

• 1‑2 years of experience
• SQL experience
• Ecommerce OR B2C experience
• Ability to communicate insights to stakeholders, not just do technical data work
• Python or R (not necessary) but nice to have
• Assist with experimental design and the interpretation of the results

Data Analyst

You’ve been successful in taking on a variety of projects that deliver tangible business impact while working closely with other key collaborators from Marketing, Finance, and Operations teams.

You have outstanding business insight which leads to business insight which leads to a solid understanding of how these different teams work together to hit critical metrics.

You have a firm grasp of data flows (where data come from, how it gets to the end‑user) and are learning to make an impact on how to improve these within analytics teams.

You write SQL at an advanced level daily and can contribute to a BI tool (developing in Looker), build data models within dbt, and package up insights in write‑ups/decks for your partners.

The Data Analyst will help build the foundation for the client’s long‑term data analytics and reporting infrastructure during a period of rapid growth.

From building reporting infrastructure (data models, Looker explores) to making KPIs more easily and widely accessible and tackling complex and open‑ended questions, the Data Analyst will help the client’s core business units make thoughtful decisions.