DataOps Lead Analyst DataOps Lead Analyst …

in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 17 Feb 20
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 17 Feb 20
DataOps Lead Analyst
As a DataOps Lead Analyst, your role would be drive data security, process adherence, data provisioning, data quality across various functions withing the Data organization.The role also requires you to raise awareness of data quality importance to all internal stakeholders within Data team and various user groups. You will have to work closely with various user groups ( DM, Risk, Ops, Finanance) in designing robust data quality rules, identifying data anomalies and recommending appropriate solutions through the automated DQ framework.

  • Gather and document requirements from various user groups and product processors;
  • Enhance Data cataloging capability that will speed finding and identifying data that delivers value, and supporting data governance and data security.
  • Ensure data integrity and quality for the data within the organization and design appropriate data quality checks.
  • Conduct data profiling and analysis to validate and refine the business requirements. Conduct root cause analysis via stakeholder interviews as well as data pattern analysis.
  • Identify data anomalies and outliers that require improvements and propose appropriate remedial actions. Collaborate with development team in translating data quality design specifications into programs and scripts.
  • Design and share Data Quality Dashboards or Scorecards with senior management within Data organization and business units. Develop strong working and collaborative relationship with the business and technology stakeholders.
  • Collate, analyse and interpret data in reports and identify discrepancies
  • Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve.
  • You have at least 4 years experience working experience in the banking industry, or consulting industry with strong exposure to Financial Services
  • You have good understanding of Data Governance and Data Quality, especially on financial industry best practices and across the regulatory landscape
  • You have strong experience in working with data governance tools and technologies, such as across Data Quality, Data Catalogs, Glossaries, Data Lineage, etc.
  • Experience of working with Big Data platforms and ETL tools is highly preferred
  • You have strong interpersonal and communication skills and are adept at working with multiple
    stakeholders to drive desired outcomes. ​
  • You have good presentation and communication skills and the ability to present you findings clearly and accessibly in the form of reports and presentations to senior colleagues.
  • You pay strong attention to detail and deliver work that is of a high standard
  • You possess strong analytical skills and are comfortable dealing with numerical data
  • You are highly goal-driven and work well in fast-paced environments
  • Experience in Analytics tools (e.g Tableau,SAS, Python, ASG, Collibra) is highly preferred.

  • You possess a degree in Technology, Business Computing, Data Analytics or related disciplines

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - SG ------------------------------------------------------
Time Type :Full time ------------------------------------------------------
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