Data Analyst

Conch Technologies • Tempe, AZ

2d • Onsite

About The Position

We are seeking a Data Analyst to support data migration, data integration, and enterprise data platform initiatives. The role involves analyzing, profiling, validating, and transforming data across legacy and target systems, and collaborating with business and technical teams to support high-quality migration, accurate data mapping, and implementation of enterprise data solutions in a Microsoft Azure environment.

This is a six-month W2 contract-to-hire position located in Tempe, Arizona. The role is onsite Tuesday through Thursday, and local candidates are required. Candidates must be able to convert to full-time employment without visa sponsorship.

Requirements

• At least 4 years of experience in data analysis, data engineering, or data migration.
• Strong SQL skills, including experience with Azure SQL Database, Azure SQL Managed Instance, or SQL Server.
• Experience with data profiling, validation, reconciliation, and quality analysis.
• Experience with data mapping, transformation, and migration initiatives.
• Knowledge of relational database design, normalization, and denormalization.
• Experience working with structured, semi-structured, and unstructured data.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate with Business Analysts, Architects, SMEs, and development teams.
• Must be able to convert to full-time employment without visa sponsorship.
• Local candidates only; the position is onsite in Tempe, Arizona Tuesday through Thursday.

Nice To Haves

• Microsoft SQL Server experience.
• Azure Cosmos DB or other NoSQL database experience.
• Kusto Query Language (KQL) experience.
• Azure Monitor or Azure Data Explorer experience.
• Azure Data Lake Storage experience.
• Microsoft Fabric or Foundry experience.
• Databricks experience.
• Azure Machine Learning experience.
• Data lakes and data warehousing experience.
• Data governance, metadata management, and data lineage experience.

Responsibilities

• Analyze, profile, and validate data across legacy and target systems.
• Develop and maintain source-to-target data mappings.
• Support ETL, data transformation, and migration activities.
• Identify and resolve data quality issues and anomalies.
• Perform data reconciliation and validation during migration.
• Collaborate with business and technical teams to define transformation rules.
• Document data flows, mappings, schemas, and transformation logic.
• Support enterprise data platform, data warehouse, and data lake initiatives.
• Contribute to continuous improvement of data migration processes and architecture.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed