Remote Data Quality Analyst – Azure, Python & Power BI

Remote Jobs; Jersey City (NJ); Remote; USD 90,000 - 120,000; Full time

Job summary

NAVA Software solutions is seeking a Data Quality Analyst to join the Enterprise Data Quality team. This remote role focuses on developing and reporting Data Quality rules across 60+ sources using our inhouse data quality framework on Azure.

You will analyze requirements, design quality rules at source/file/column levels, build dashboards in Power BI, and manage a backlog in Azure DevOps within sprints. 4+ years in data analysis, Python/SQL, and Power BI are required.

Qualifications

• 4+ years of data analysis experience.
• 4+ years of Python experience.
• 4+ years of SQL experience.
• 4+ years of Power BI experience.

Responsibilities

• Analyze business requirements and identify where Data Quality is needed.
• Analyze data sources and provide recommendations or system enhancements/efficiencies.
• Develop reports and dashboards that accurately reflect the information intended to be shared.
• Prioritize data sources that need Data Quality rules defined for them. Prioritization could be based on business/stakeholder requirements, technical capability, production enhancement, etcetera.
• Develop Data Quality rules at the source, file, and column tier. Ensure the rules are well defined with correct rule types and thresholds. Obtain Data Steward approval.
• Create, maintain, and assign a backlog in Azure DevOps at the PI and Sprint iteration.
• Provide detailed updates on stand ups where we are with Data Quality rules for the source assigned in the current sprint.
• Analyze the issues detected for a business unit and drive the resolution of the issue.

Skills

Data analysis

Python

SQL

Power BI

Tools

PySpark

Pandas

Databricks

C#

.Net

JavaScript

Job description

NAVA Software solutions is seeking a Data Quality Analyst to join the Enterprise Data Quality team. This remote role focuses on developing and reporting Data Quality rules across 60+ sources using our inhouse data quality framework on Azure.

You will analyze requirements, design quality rules at source/file/column levels, build dashboards in Power BI, and manage a backlog in Azure DevOps within sprints. 4+ years in data analysis, Python/SQL, and Power BI are required.