Data Analyst - Senior Engineer

Why Join Iris

Are you ready to do the best work of your career at one of  India's Top 25 Best Workplaces in IT industry  Do you want to grow in an award-winning culture that  truly values your talent and ambitions

Join Iris Software — one of the  fastest-growing IT services companies  — where  you own and shape your success story .

About Us

At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, Dev Ops, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us

At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition,  'Build Your Future. Own Your Journey.'  reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

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,…