Data Analyst - Senior Engineer

Job Description

PRIMARY RESPONSIBILITIES-

• Evaluate and monitor the quality of data within enterprise databases, data warehouses, and business applications, identifying inconsistencies, inaccuracies, and anomalies.
• Define, track, and report key data quality metrics (completeness, consistency, validity, accuracy, timeliness) to stakeholders, producing regular dashboards and summary reports.
• Investigate causes of data quality issues, collaborating with stakeholders to identify process gaps, system errors, and user behaviors that contribute to poor data quality.
• Develop and execute processes for data cleansing, deduplication, standardization, and enrichment to improve the usability and reliability of organizational data.
• Test new system releases, migrations, and data integrations to validate data quality before deployment.
• Analyze data sets to understand their structure, content, and quality using profiling tools and techniques.
• Work closely with data owners, business analysts, developers, and IT teams to address data issues and integrate data quality requirements into new projects and systems.
• Support data governance initiatives by enforcing data standards, policies, and procedures across the organization.
• Create and maintain comprehensive documentation for data quality processes, issues identified, remediation actions, and best practices.
• Lead or participate in projects aimed at improving data quality through process optimization, automation, and adoption of new technologies.

KNOWLEDGE/SKILLS –

• Advanced SQL skills for querying, updating, and analyzing data in relational databases
• Experience with data profiling and data quality tools such as Informatica Data Quality, Talend, Trifacta, or similar platforms
• Knowledge of data visualization tools like Tableau or Power BI for reporting metrics
• Familiarity with Python or R for data manipulation and analysis
• Understanding of ETL processes, data warehousing concepts, and data governance frameworks
• Strong problem-solving abilities and exceptional attention to detail
• Excellent written and verbal communication skills to interact with technical and non-technical stakeholders
• Ability to manage multiple tasks, prioritize work, and meet deadlines in dynamic environments
• Collaborative mindset, proactive attitude, and willingness to learn and adapt
• Understanding of data protection and privacy laws and compliance requirements

EDUCATION AND EXPERIENCE –

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, or related quantitative field
• 3-5 years of hands-on experience in data quality analysis, data validation, or data management roles within enterprise environments

Technical Skills:

• Advanced SQL proficiency with experience in complex joins, subqueries, and data manipulation
• Experience with at least one enterprise data quality tool (Informatica, Talend, IBM InfoSphere, etc.)
• Proficiency in Excel for data analysis and reporting

Mandatory Competencies