Data Analyst,Richmond, VA,United States

Intellibee; Richmond (VA); Hybrid; USD 60,000 - 95,000; Full time

Job summary

An established industry player is looking for a detail-oriented Data Analyst to enhance data quality following a migration to Microsoft Dataverse. This role involves conducting thorough data cleanup, validating records, and ensuring the integrity of migrated datasets. The ideal candidate will leverage their SQL expertise and familiarity with Dataverse to identify discrepancies and automate quality checks. With teleworking options available, this position allows for flexibility while requiring some onsite presence for onboarding. Join a dynamic team dedicated to improving data management practices in a collaborative environment.

Qualifications

• 3+ years of SQL experience with complex joins and data comparison.
• Strong understanding of Microsoft Dataverse and data relationships.

Responsibilities

• Conduct data cleanup and validation in the Dataverse environment.
• Analyze records from SQL systems and Dataverse using SQL queries.
• Collaborate with stakeholders to define data standards and governance.

Skills

SQL

Microsoft Dataverse

Data Quality

Power BI

Power Automate

Data Reconciliation

Documentation

Tools

KingswaySoft

SSIS

Job description

We're seeking a Data Analyst with SQL skills and Microsoft Dataverse experience to support post-migration data cleanup and reconciliation.

About the Role:

We are seeking a detail-oriented Data Analyst with strong SQL skills and experience working with Microsoft Dataverse to support post-migration data quality initiatives. The data migration from SQL Server to Dataverse has been completed, and this role will focus on reconciling records, identifying inconsistencies, and performing cleanup tasks to ensure the integrity and usability of data in the new system.

Teleworking available, however, candidate will need to be onsite 1-2 days per week for onboarding and initial knowledge transfer.

Key Responsibilities:

• Conduct detailed data cleanup, validation, and normalization within the Dataverse environment.
• Use SQL queries to analyze and compare records from legacy SQL systems and the current Dataverse platform.
• Perform data reconciliation to confirm accuracy and completeness of migrated data, identifying mismatches and resolving anomalies.
• Collaborate with stakeholders to understand business rules and define expected data standards.
• Develop scripts and tools to automate data quality checks and support ongoing data hygiene.
• Document findings and cleanup efforts to ensure transparency and auditability.
• Assist with building reports and views in Dataverse and Power BI to support data quality monitoring and operational needs.
• Support efforts to enforce data governance and improve data management practices.

Requirements:

• Proficient in SQL, including complex joins, data comparison, and troubleshooting.
• Strong understanding of Microsoft Dataverse, including schema, data relationships, and business rules.
• Experience with data quality and reconciliation efforts following system migrations.
• Ability to analyze large datasets and identify discrepancies, duplicates, and inconsistencies.
• Familiarity with Power Platform tools, particularly Power BI and Power Automate.
• Strong documentation and communication skills for reporting findings and working with both technical and business teams.

Preferred Qualifications:

• Experience using KingswaySoft, SSIS, or other ETL tools (helpful but not required for this post-migration phase).

Skill Matrix:

• Proficient in SQL Required 3 Years
• Strong understanding of Microsoft Dataverse Required 2 Years
• Power BI Required 2 Years
• Experience analyzing large datasets Required 2 Years
• Power Automate Required 1 Years
• Experience with Kingsway Soft and/or SSIS Nice to have