Position: Data Analyst (Remote)
Client: MagicPace
Client Website: www.magicpace.com
Work Hours: Full-time, EST Hours (minimum 3-month contract)
Salary Range: $2,900/month
We’re looking for a Data Analyst to elevate the company as the leader in customer data platforms. You’ll join a growing team that is building a platform to empower modern and omnichannel brands with smart technology, unique customer experiences, and insightful data. In this role, you will be an integral part of our data team’s success. You will investigate trends and patterns in e-commerce that fuel best-in-class insights and a reporting toolkit intended to empower our customers with solid insights to drive their business. As our next Data Analyst, you will be a key member of the Data team and will report directly to our Chief Data Officer.
Duties & Responsibilities:
- Support end-to-end analytics solutions through requirements gathering, establishing key metrics, building data models, designing dashboards and visualizations, and analyzing data to drive actionable insights for our customers and internal teams.
- Deep dive into complex data across various sources, trends, and questions to provide advanced analyses and insights for our customers.
- Optimize, update, review, and troubleshoot data to support new and existing projects and product features in collaboration with the data team.
- Collaborate with product and engineering to build scalable and impactful data solutions and new capabilities.
- Provide comprehensive analytics support to our customers and internal teams and develop resources to empower data access and self-service.
● Strong communication skills with the ability to transform data into a story for and explain complex concepts to different audiences and various stakeholders.
● To be a self-starter with the ability to juggle multiple projects at once and motivated by working in a high-growth, fast-paced, and iterative environment.
● Problem-solving skills and the ability to think on your feet to analyze complex questions, support customer questions, and enhance the company's commerce data product.
● Adept at turning analyses into actionable recommendations for the business and our customers.
● Experience analyzing large datasets from different source structure data and data models for reporting consumption.
● Experience with SQL, along with reporting and visualization tools. Experience with Looker, dbt, Snowflake, and Fivetran is a plus.
● A plus for experience with building or analyzing metrics in an e-commerce business model, including metrics in areas like marketing attribution or web analytics.