Data Analyst – BI & Data Quality

Role Overview

Data Analysis and Quality

• Analyze complex datasets, perform exploratory analysis, understand business definitions, and identify inconsistencies across enterprise systems.
• Support source-to-target mapping, reconcile source and target datasets, investigate discrepancies, and perform root-cause analysis.
• Profile datasets for completeness, accuracy, consistency, validity, and uniqueness, and identify duplicate, missing, invalid, and inconsistent records.
• Define and document quality rules, execute data-quality checks, validate remediation, maintain metrics, and support migration and integration validation.
• Work with Data Engineers to translate quality requirements into automated controls.

BI and Reporting

• Design and develop dashboards and reports using Power BI or equivalent BI technologies.
• Develop reporting datasets and semantic models, create KPIs, measures, calculations, and business logic.
• Build operational, analytical, reconciliation, and data-quality dashboards and validate reports against source data.
• Optimize reports for usability, performance, and clarity, and communicate trends and findings to stakeholders.

Business and Client Collaboration

• Gather and document business and reporting requirements, definitions, mappings, assumptions, rules, and findings.
• Participate in client meetings, requirement discussions, and data-review sessions.
• Communicate data-quality issues and analytical findings clearly to technical and nontechnical audiences.
• Proactively identify data issues, risks, and opportunities for improvement.

AI-Assisted Working

• Use AI-assisted tools responsibly to accelerate analysis, SQL development, documentation, validation, and reporting.
• Use AI to assist with pattern identification while independently validating conclusions and applying business context.
• Identify opportunities to automate repetitive analysis and reporting activities.

Required Qualifications

• 2–5 years of experience as a Data Analyst, BI Analyst, Data Quality Analyst, Business Data Analyst, or similar.
• Strong hands-on SQL skills and experience analyzing and reconciling data from multiple sources.
• Experience with data profiling, validation, cleansing, or data-quality analysis.
• Hands-on experience with Power BI or comparable BI/reporting tools and an understanding of relational databases.
• Experience developing reports, dashboards, KPIs, and analytical outputs.
• Strong analytical, problem-solving, written communication, and verbal communication skills.
• Ability to investigate discrepancies, perform root-cause analysis, and work with technical teams and business stakeholders.

Preferred Qualifications

• Experience with Power BI, DAX, and Power Query.
• Working knowledge of Python for data analysis.
• Exposure to AWS, Azure, Databricks, Snowflake, Redshift, or Synapse.
• Experience with enterprise application data, data migration, system integration, or enterprise transformation initiatives.
• Experience in manufacturing, retail, distribution, consumer goods, IT consulting, or technology services.

Compensation

• Pay is ₹600,000.00–₹1,000,000.00 per year.

Workplace and Employment

• The role is full-time and onsite in Noida, India.
• Work location is in person.