Data Analyst

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.

• 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.

• 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.

Originally posted on Himalayas