CRM Manager & Data Analyst shaping the data - driven future at AVP Autoland, managing data quality and developing targeted marketing strategies. Collaborating closely with Marketing and Sales teams for market strength.
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Hybrid Lead Assistant Manager – Data Management and Analytics, Data Ops/Data Analyst
Posted last month
About the role
- Lead Assistant Manager overseeing Data Management and Analytics with a focus on data quality exception handling. Collaborating across teams to implement data quality enhancements and reporting.
Responsibilities
- Receive, review, and prioritize data quality exceptions reported periodically from various business units and stakeholders.
- Analyze root causes of data quality issues, assess the impact, and resolve exceptions in a timely manner.
- Collaborate with business and technical teams to communicate findings, clarify requirements, and coordinate effective resolution of data quality exceptions.
- Document exception trends, resolutions, and maintain logs to support ongoing monitoring and process improvement.
- Perform data extraction, cleansing, and validation tasks to ensure the integrity and consistency of critical datasets.
- Prepare data quality reports and dashboards using Power BI or similar tools, highlighting exception status and trends for management review.
- Recommend and implement process enhancements to reduce recurring data quality issues and improve overall data accuracy.
Requirements
- 3–8 years of experience in data quality management, exception handling, or data analysis, ideally within a centralized team environment.
- Demonstrated ability to identify, investigate, and resolve data quality exceptions and related issues.
- Hands-on experience with data quality tools such as Informatica Data Quality (IDQ), Collibra, IBM InfoSphere Information Governance Catalog, or Alation.
- Strong analytical, problem-solving, and statistical analysis capabilities.
- Advanced proficiency in SQL, Snowflake, and Power BI for data extraction, analysis, and reporting.
- Excellent communication and documentation skills for exception tracking and cross-team collaboration.
- Detail-oriented with proven success in driving process improvements and raising data quality standards.
- Solid understanding of Investment Fundamentals; exposure to Fixed Income is an added advantage.
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