Job Location: Bangalore
Primary Location: Asia-India-Bangalore
Schedule: Full-time
Employee Status: Permanent
Posting Date: 04/Feb/2022, 4:31:15 AM
Unposting Date: Ongoing
About Standard Chartered
Strategy
- Data Quality (DQ) Analysts will be responsible to support FCSO data strategy & vision.
Processes
- Data Quality (DQ) Analysts are responsible for ensuring the overall health of the data ecosystem and the quality of data per bank’s data quality management standard within FCSO processes defined in enterprise operation risk platform.
People and Talent
Data Quality (DQ) Analysts are responsible for ensuring the overall health of the data ecosystem and the quality of data within it. Through their in-depth understanding of the data and requirements of downstream consumers, they define (and constantly refine) data quality controls and reports. DQ Analysts track and manage DQ issues and work to prevent them from impacting day to day activities more than necessary. They will work closely with:
- FCC Data Managers, who define the team’s business requirements, objectives, strategy and priorities
- FCC Data Analysts, who help to define solutions to DQ issues if they arise due to internal logic limitations
- FCC Data Engineers, who design and implement the required data quality controls
- Downstream Process Owners, who must be aware of and understand any data quality issues
- Upstream data teams, who may need to take remedial action to solve data quality issues within their datasets / processes
DQ Analysts review the output of controls on a day to day basis and must respond quickly and appropriately to any issues that arise. Having identified an issue, they will engage the necessary stakeholders to manage the impact and define a path to resolution. DQ Analysts should have a careful attention to detail, but also be able to think strategically about the impact of any failures and make recommendations about the best course of action.
Responsibilities for FCC Data Quality Analysts:
- Day-to-day oversight of Data Quality controls, managing any issues in a timely and thorough manner
- Identify the root cause of data quality errors and make recommendations for long-term solutions, after working with support teams to make tactical resolutions
- Determine the business impact for any data quality issues and ensure these are well communicated downstream
- Define control requirements and constantly seek to enhance these
- Identify patterns in data quality issues and look for opportunities to address these strategically
- Independently analyse, query and manipulate data to uncover unknown or hidden issues missed by pre-defined controls
Risk Management
- Data Quality (DQ) Analysts are responsible to identify, assess, monitor and mitigate DQ risks arising due to poor data quality for all FCSO processes.
Governance
- Data Quality (DQ) Analysts are responsible tp provided all necessary support to FCSO data governance team.
Regulatory & Business Conduct
- Display exemplary conduct and live by the Group’s Values and Code of Conduct.
- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
Key Stakeholders
- FCSO business process owners
- Experience in managing sophisticated and stringent data quality control processes, including managing of DQ dashboards and handling remediation tasks
- Competence with data profiling tools and methodologies (SQL at a minimum), with a preference for dedicated and sophisticated exploratory data analysis tools such as Dataiku, Tableau &Python, Paxata or Tableau.
- Good understanding of data models and the ability to navigate across multiple layers of transformation to understand the root cause of DQ issues
- Experience of performing root cause analysis on internal data and processes to answer specific business questions and identify opportunities for improvement
- Strong technical communication skills such that both technical and non-technical can quickly and easily understand the nature of errors
- Good functional understating of critical data elements defined for Transaction monitoring/Name Screening/Trade Finance Operations.
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