Junior Data Platform Analyst

Maxwood Furniture•Charleston, SC

just now•Onsite

About The Position

Maxwood Furniture is a rapidly growing furniture company with an expanding portfolio of brands such as Max & Lily, Plank + Beam, and Maxtrix. Since launching over two decades ago, we have established multiple sales channels including our DTC websites and third-party marketplaces. We’re passionate about creating an inspiring and engaging shopping experience for our customers, bringing their home decor dreams to life with stunning, on-trend pieces.?? We are seeking a new member to add to our Analytics team. Are you ready to be a part of something amazing? Position Overview We are seeking a Junior Data Platform Analyst to support and maintain our growing data platform built on Microsoft Fabric. In this role, you will work closely with Data Engineers, BI Analysts, and AI Specialists to help scale and operate an AI-ready data warehouse infrastructure. This is an excellent opportunity for someone early in their data or database career who is eager to learn modern cloud data platforms, gain hands-on experience with Fabric pipelines and dataflows, and grow into a core contributor in an advanced analytics and AI ecosystem.

Requirements

0–3 years of experience in a database, data engineering, or analytics support role
Basic understanding of relational databases and data warehousing concepts
Proficiency with SQL
Experience or coursework involving cloud data platforms or modern ETL/ELT tools
Strong problem-solving skills and attention to detail
Willingness to learn new tools and technologies in a fast-evolving environment

Nice To Haves

Experience with Microsoft Fabric
Familiarity with Azure services (e.g., Azure SQL, Synapse, Data Factory)
Exposure to other Microsoft data tools such as Power BI, SQL Server, or SSMS

Responsibilities

Monitor, create, and maintain Microsoft Fabric dataflows and pipelines
Triage and resolve pipeline failures, dataflow errors, and performance issues
Establish and maintain API connections and external data integrations
Assist with error reporting, alerting, and logging for data operations
Support resource allocation and capacity management within Fabric
Collaborate with BI Engineers to ensure reliable and performant data models
Work alongside AI specialists to ensure data is structured, governed, and optimized for AI and machine learning workloads
Help optimize data access and usability for Data Engineers and BI Specialists
Document processes, configurations, and operational best practices