Data Analyst - Senior Engineer

Location: Noida, UP, India

Company: Iris Software

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 problemsolving abilities and exceptional attention to detail

Excellent written and verbal communication skills to interact with technical and nontechnical 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 handson 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

Data Governance - Data Governance - Collibra

Data Governance - Data Governance - Alation

Middleware - Integration Middleware - Informatica

Data Governance - Data Governance - Manta

Beh - Communication and collaboration Data Analyst - Senior Engineer