Job Description :-
| Company: | hsbc |
| Job Role: | Data Quality Analyst |
| Batches: | 2021-2025 |
| Degree: | Bachelor’s/Master’s degree |
| Experience: | Freshers/Experienced |
| Location: | Bangalore, Kolkata, Gurgaon, India |
| CTC/Salary: | INR 5.5-12 LPA (Expected) |
Purpose of the role
- Data and analytics is an important enabler for the UK Business’ strategy and in achieving its’ outcomes. The Data Quality Analyst is within the UK Data and Analytics function. The UK Data and Analytics function is responsible for data risk and control management, delivering the data platform strategy, delivering data and analytics products and AI for the UK Business.
- The Data Quality Analyst is responsible for supporting the objectives of ensuring that the accuracy, consistency and integrity of data across the UK Business is sufficient to operate the bank’s services and controls.
In this role, you will:
- Create data quality and validation rules across all key UK Business data that address data risk through the data quality dimensions: accuracy, completeness, consistency, timeliness, uniqueness and validity
- Manage data quality issue remediation working with various stakeholders and escalating where appropriate
- Perform root cause analysis of systemic data quality issues
- Conduct testing of data quality issue fixes to ensure that the root cause is remediated
- Monitor data pipelines to highlight and resolve integration errors
- Analyse datasets to identify errors, duplicates and inconsistencies
- Collaborate within the data management team, contributing to a high-performing data quality function
To be successful you will:
- Experience on data quality with knowledge of evolving data quality best practices
- Understanding of data flows across banking operations, from front office to operations
- Experience of measuring, assessing and improving data quality in a large Global organisation
- Strong analytical, problem-solving and communication skills
- Experience in working with business stakeholders and remediation teams, including data and IT architects and engineers, to address and resolve data issues
- Proficiency with enterprise data quality and governance tools. Well versed with Excel. Familiarity with Python or BI tools, Confluence and Jira is an added advantage
- Experience of working on a regional scale (i.e. across time zone & geography and with remote teams).
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