Data Analyst

Optomi, in partnership with a leading organization in the restaurant industry, is looking for a Data Analyst to join their growing data team! This is an exciting opportunity for a hands-on data professional to help build and maintain data integrations that bring third-party and vendor data into a modern Microsoft Fabric and Azure environment. This role will focus heavily on Microsoft Fabric, Python, SQL, and REST API ingestion while providing long-term growth opportunities into Data Engineering and Data Architecture. What the right candidate will enjoy: 100% remote opportunity! Working hands-on with Microsoft Fabric, Azure, Python, and SQL in a modern data environment! Building data ingestion processes that bring data from REST APIs and third-party sources into Microsoft Fabric and Azure! Working with Fabric Lakehouse, OneLake, pipelines, and other modern Microsoft data technologies to create clean, reliable datasets! Partnering closely with data engineers and technical stakeholders while having the opportunity to grow further into Data Engineering and Data Architecture! Experience the right candidate will have: 3+ years of hands-on Data Analytics, Data Engineering, or Data Integration experience. Strong hands-on experience with Microsoft Fabric, including technologies such as OneLake, Lakehouse, Fabric Pipelines, Dataflows Gen2, or Fabric Notebooks. Strong Python and SQL experience for data ingestion, transformation, cleaning, and validation. Experience consuming and ingesting data from REST APIs and other external or third-party data sources. Hands-on experience within the Microsoft Azure ecosystem, ideally including Azure Data Factory, Azure SQL, or Azure Data Lake Storage. Experience designing, building, and maintaining ETL/ELT pipelines. Experience working with structured and semi-structured data, including formats such as JSON and CSV. Strong understanding of data quality, validation, troubleshooting, and monitoring. Experience with data modeling, schema design, Git/version control, or data governance is a plus. Experience working with vendor data feeds and coordinating data integration requirements is a plus. Responsibilities of the right candidate: Design, build, and maintain ETL/ELT pipelines that ingest data from third-party vendors and external sources. Develop REST API integrations to bring external data into Microsoft Fabric and Azure environments. Use Python and SQL to clean, validate, transform, and standardize incoming data. Store and organize ingested data using Microsoft Fabric, OneLake, Lakehouse, and Azure data services. Create clean, structured, analysis-ready datasets that can be consumed by downstream data engineering and analytics teams. Monitor pipeline health, troubleshoot failures, and resolve data quality issues. Document data sources, schemas, transformation logic, refresh schedules, dependencies, and known data issues. Partner with data engineers and internal stakeholders to understand downstream requirements and ensure datasets meet business and technical needs. Coordinate with third-party vendors around data delivery, format changes, access, and integration requirements. #J-18808-Ljbffr Optomi