Senior Data Quality Analyst

Expian Technologies; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Expian Technologies in Bengaluru is seeking a data quality professional to gather requirements, monitor data quality issues, and collaborate closely with Agile teams to deliver governance and cataloguing solutions.

The role requires deep experience in data quality, governance, and related tools, with strong communication and stakeholder management skills to drive remediation and improvements.

Qualifications

• 5+ years of experience in data quality analysis, data management, or a related field.
• 3+ years of experience with SQL and database technologies, with the ability to query and analyse data sets.
• Prior knowledge of data governance programmes and/or data quality improvement programmes is essential.
• Prior knowledge of Data Observability / Data Quality Tools (Monte Carlo, Soda, Informatica, etc) is essential.
• Prior knowledge of Data Catalogues (e.g. Atlan, Collibra, Purview, Databricks Unity) is essential.

Responsibilities

• Gathering and documenting business requirements for data quality monitoring use cases.
• Support triage, prioritisation and remediation of data quality incidents.
• Support maintenance and adoption of the enterprise data catalogue.
• Identify key internal stakeholder groups and build successful working relationships for triaging and fixing data quality issues.
• Manage internal communications with stakeholders on data quality initiatives.

Skills

SQL

Data governance

Data quality

Power BI

Monte Carlo

Excel

Education

Bachelor's degree in Computer Science / Information Systems

Tools

Monte Carlo

Soda

Informatica

Job description

Roles and responsibilities:

• Gathering and documenting business requirements for data quality monitoring use cases.
• Support triage, prioritisation and remediation of data quality incidents.
• Support maintenance and adoption of the enterprise data catalogue.
• Identify the key internal stakeholder groups and build successful working relationships to ensure a collaborative approach to triaging, prioritising and fixing data quality incidents.
• Manage internal communications, ensuring all internal stakeholders are informed and consulted as appropriate on items of relevance through the lifecycle of data quality initiatives.
• Understanding the existing databases and data sources across all relevant functional areas, and scoping solutions to fix data quality issues
• Create clear, concise, and comprehensive requirements documentation for data quality use cases, and data quality reports for approval by data owners and stewards.
• Working closely with the Agile Technology teams (product owners, data engineers and product managers) to ensure successful delivery.
• Leading, contributing and collaborating on ways to improve ways of working Identifying gaps across processes or artefacts and elevate for progression, discussion, and development.
• Developing Data and AI governance standard operating procedures for data quality and data cataloguing.
• Supporting data governance framework through audit, risk and compliance requests.
• Measuring data quality KPIs and driving business value
• Assisting with the implementation of policies and standards across company.
  

Key Requirements:

• 5+ years of experience in data quality analysis, data management, or a related field.
• 3+ years of experience with SQL and database technologies, with the ability to query and analyse data sets.
• Prior knowledge of data governance programmes and/or data quality improvement programmes is essential
• Prior knowledge of Data Observability / Data Quality Tools (Monte Carlo, Soda, Informatica, etc) is essential
• Prior knowledge of Data Catalogues (e.g. Atlan, Collibra, Purview, Databricks Unity) is essential
• Prior experience in the following tools, including Power BI, Atlan, Monte Carlo, Snowflake, Databricks
• Advanced level of proficiency in the use of the Microsoft Office suite Including Excel, Project, Visio, Word & PowerPoint.
• Bachelors degree in Computer Science, Information Systems, Statistics, or a related field
• Familiarity with AI prompt optimisation techniques is an advantage.
• Experience in tracking developments in Confluence/JIRA is highly beneficial.
• Prior experience of agile delivery is desirable
• Prior experience driving process improvements in finance, customer-facing, or operational environments is desirable
• Excellent communication and documentation skills with the ability to present facts clearly and objectively.
• Prior experience facilitating workshops with multiple stakeholders.
• Excellent organisational and analytical skills with a high level of accuracy and attention to detail.
• Strong interpersonal skills with the ability to manage effective working relationships at all levels, both internally and externally.
• Proven ability to work effectively under pressure and commitment to producing high-quality output to tight deadlines.