BigID Data Analyst
Role details
Job location
Tech stack
Job description
EXL is seeking a Data Analyst to support High Priority Data Taxonomy Development: including the definition and evolution of the high-priority data taxonomy, in alignment with the Enterprise Metadata Management program, to enable sustainable, consistent classification of data across data management and information security initiatives.
As part of your duties, you will be responsible for:
Classifier Development and Tuning:
Define requirements and develop custom classifiers (using Regex) to enable identification of high priority data within structured and unstructured environments; With focus on areas where we do not have sufficient coverage using the out of the box classifiers (e.g. Strategic Claims and Policy Information, Security Information, Non- Public Financial Information, etc.);
Support the calibration and validation of newly defined custom classifiers including the review of testing with business stakeholders;
Based on the initial scanning results, tune the newly developed as well as out of the box classifiers to improve completeness and accuracy of the scans.
Post-Scan Processes:
Support the execution of the post-scan process for structured data including initial results refinement, high-level analysis, and coordination of feedback and validation through app teams and business stakeholders; Translate structured data scan findings into actionable outcomes (e.g., data minimization, update of governance records, etc.);
Support the execution of unstructured data scan results review and validation across in-scope repositories, combining hands-on manual review of results with collecting feedback at scale from repository owners and business stakeholders
- Reporting: define report requirements and build reports using BigID capabilities and other available tools to facilitate review of scan results, progress monitoring and reporting.
- Operating Model: support the definition and implementation of the target operating model in partnership with Information Security Office, Data Office, Technology Risk & Controls and other stakeholders.
Requirements
- Familiarity with the financial services industry, processes, and terminology;
- Experience in Data Protection, Data Management or Information Security;
- Experience in data discovery and classification projects, preferably using BigID or similar tools;
- Knowledge and practical experience in building ReGex expressions will be an advantage;
- Strong organizational, project management and multi-tasking skills;
- Good communication skills and ability to build relationships with stakeholders at various levels
As part of a leading global Data and AI company, you can look forward to
Benefits & conditions
- A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
- EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
- At EXL , we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.
- As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
- EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
- At EXL , we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.
