Data Analyst

Nobl Q, Inc.; United States; Remote; USD 65,000 - 90,000; Full time

Job summary

Nobl Q, Inc. is seeking a Data Analyst to analyze complex datasets, ensure data quality, and deliver actionable insights to support business decisions and reporting efficiency.

You will collaborate with business and technical teams to define requirements, validate data, and develop scalable analytics solutions using SQL, Azure services, Microsoft Power Platform, and Excel. The role emphasizes creating reports and dashboards to drive performance metrics.

Qualifications

• 4+ years of experience preferred in data analytics.
• Proficient in SQL and T-SQL for data validation.
• Experience with Azure data services and ETL processes.
• Advanced Excel, Power Pivot, and Power Query skills.
• Experience with AI-assisted analytics and data visualization tools.
• Experience in QA testing and defect tracking (ADO) is a plus.
• SAFe familiarity is preferred.
• Experience in the professional services industry is preferred.

Responsibilities

• Analyze large datasets to identify trends, anomalies, and actionable insights.
• Validate data accuracy, completeness, and consistency; investigate discrepancies and recommend actions.
• Use AI-assisted analytics and automation tools to improve data profiling and quality checks.
• Translate analytical findings into actionable recommendations for stakeholders.
• Collaborate with business users to define reporting requirements and KPIs.
• Document requirements, use cases, and test artifacts.
• Track project tasks, status updates, risks, and escalations.
• Collaborate with technical teams to investigate root causes and improve data quality.
• Develop reports, dashboards, and performance metrics to support business objectives.
• Support quality testing activities, including test case prep, execution, and defect tracking.

Skills

SQL & T-SQL

Azure Data Services

Excel (Advanced)

Power BI

Tableau

Data visualization

Stakeholder management

Cross-functional collaboration

Problem solving

Communication skills

Tools

Azure Integration Services

Azure Data Lake Storage

ETL tools

Microsoft 365

Azure DevOps

Power BI

Tableau

Job description

As a Data Analyst, you will analyze complex datasets, ensure data quality, and deliver actionable insights to support business decision-making and reporting efficiency. You will collaborate with business and technical teams to define requirements, validate data, and develop scalable analytics solutions using SQL, Azure services, Microsoft Power Platform, and Excel.

Key Responsibilities:

• Analyze large datasets to identify trends, anomalies, and actionable business insights.
• Validate data accuracy, completeness, and consistency, investigate discrepancies, and recommend corrective actions.
• Use AI-assisted analytics and automation tools to improve data profiling, scoring, and quality checks.
• Translate analytical findings into actionable recommendations for business stakeholders and decision-makers.
• Collaborate with business users to define reporting requirements, KPIs, and data-quality thresholds.
• Document business and functional requirements, use cases, user stories, and test artifacts.
• Track project tasks, status updates, risks, and escalations to ensure timely delivery.
• Collaborate with technical teams to investigate root causes, resolve high-priority issues, and improve data quality.
• Develop reports, dashboards, and performance metrics to support business objectives.
• Support quality testing activities, including test case preparation, execution, results validation, and defect tracking.

Requirement: 4+ years of experience preferred.

• Proficiency in SQL and T-SQL for querying, transforming, and validating relational data.
• Working knowledge of Azure Integration Services, Azure Data Lake Storage, and ETL processes.
• Advanced Excel skills, including formulas, Power Pivot, and Power Query.
• Proficiency in Microsoft 365 tools, including Microsoft Teams.
• Strong analytical, problem-solving, communication, and presentation skills.
• Excellent stakeholder management, business partnering, and cross-functional collaboration abilities.
• Ability to work independently, manage competing priorities, and maintain attention to detail.
• Experience with AI-assisted analytics, automation, and data visualization tools such as Power BI, Tableau, or similar platforms is preferred.
• Experience in manual and automated testing, including test case preparation, execution, results validation, and defect tracking using Azure DevOps (ADO) or comparable tools, is an advantage.
• Familiarity with the Scaled Agile Framework (SAFe) is preferred.
• Knowledge of client business processes and experience in the professional services industry are preferred.