Contract Business Analyst / Data Analyst

Role Overview

We are seeking a highly skilled Contract Business Analyst / Data Analyst with deep functional and technical expertise in large-scale Enterprise Data Lake Implementations. The successful candidate will serve as the analytical nexus within a multi-phased modernization program aimed at centralizing enterprise data into a scalable Microsoft Azure Data Lake ecosystem.

What You Will Do

The role involves migrating disparate legacy operational databases, ERPs, CRM systems, and external third-party feeds into a modern, centralized Azure Data Lake architecture. Key objectives include decommissioning legacy siloed data marts, transitioning workloads to a unified Azure Data Lake Storage (ADLS Gen2) environment, and enforcing strict data governance, lineage tracking, and data quality frameworks across complex transactional and analytical pipelines.

Why It Might Be a Fit

This project represents a critical strategic investment in modern data architecture. You will be placed at the core of a high-visibility, mission-critical transformation where your contributions directly shape how the enterprise governs, surfaces, and consumes analytical data for years to come.

Requirements

• 5 to 15 years of demonstrable experience as a Business Analyst, Data Analyst, or Systems Analyst, specifically within enterprise data warehousing and big data initiatives.
• Direct involvement in at least one full-lifecycle Enterprise Data Lake / Lakehouse design, development, or migration initiative.
• Comprehensive, hands-on functional and technical understanding of Microsoft Azure Ecosystem, Advanced Querying & Data Manipulation, Source-to-Target Mapping (STTM), Data Modeling, Business Intelligence (BI), and Agile Methodologies.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Analytics, Data Management, or a related discipline.

Benefits

• Competitive rate structure
• Exposure to top-tier enterprise cloud architectures
• Collaborative team of experienced data practitioners

Tagged as: Data Analysis