11 Oct
|
CAPCO
|
Bengaluru
Senior Consultant – BigID / Data Remediation & Analytics
Experience: 7–10 Years
Role Level: Senior Consultant
Domain: Data Management / Data Privacy / Data Remediation
Key Skills: BigID, DBMS, SQL, Advanced Excel, Data Analytics
Role Overview
We are looking for an experienced Senior Consultant to support a BigID-driven data discovery, analysis, and remediation program. The candidate will work with business, data, technology, privacy, and remediation teams to identify sensitive and critical data across enterprise systems, analyze data-quality and privacy-related findings, and drive issues through remediation and closure.
The ideal candidate should have solid hands-on knowledge of BigID, relational databases/DBMS, SQL, Advanced Excel, and data analytics , along with the ability to analyze large datasets, identify anomalies and trends, perform reconciliations, and translate findings into actionable remediation activities.
Key Responsibilities
BigID & Data Discovery
- Work with BigID to support data discovery, classification, inventory, and analysis across structured and unstructured data sources.
- Review BigID scan results and analyze identified sensitive, personal, confidential, and critical data.
- Support onboarding and validation of data sources within BigID.
- Analyze BigID findings to identify data requiring further investigation or remediation.
- Work with application owners and data owners to validate findings and resolve exceptions.
- Track identified issues through remediation, validation, and closure.
- Support preparation of evidence and reporting for governance, risk, privacy, and audit requirements.
Database & SQL Analysis
- Demonstrate strong understanding of DBMS concepts , relational databases, tables, keys, relationships, and data structures.
- Write SQL queries to extract, analyze, reconcile, and validate data.
- Perform data profiling and identify missing, duplicate, inconsistent, invalid, or anomalous records.
- Perform source-to-target and cross-system data reconciliation.
- Use joins, aggregations, subqueries, CTEs, CASE statements, and other SQL techniques for data investigation.
- Validate data before and after remediation to confirm successful closure of identified issues.
Data Remediation
- Analyze data issues identified through BigID scans, business controls, or data-quality assessments.
- Perform root-cause analysis and help determine appropriate remediation actions.
- Define impacted populations and remediation rules in collaboration with business and technology stakeholders.
- Perform pre- and post-remediation validation and reconciliation.
- Maintain appropriate documentation, evidence, exception logs, and audit trails.
- Track remediation actions, dependencies, risks, and outstanding issues to closure.
Excel & Data Analytics
- Use Advanced Excel for large-scale data analysis, reconciliation, validation, and reporting.
- Strong working knowledge of Pivot Tables, XLOOKUP/VLOOKUP, INDEX-MATCH, conditional formatting, logical functions, data cleansing, and reconciliation techniques.
- Analyze large datasets to identify trends, patterns, exceptions, and data-quality issues.
- Create management information (MI), dashboards, and remediation progress reports.
- Translate complex datasets into clear insights for business and senior stakeholders.
Stakeholder & Project Management
- Collaborate with data owners, application owners, technology teams, privacy teams, risk teams, and business stakeholders.
- Facilitate discussions to understand data issues and agree on remediation actions.
- Track actions, risks, issues, dependencies, and milestones.
- Provide regular progress updates and management reporting.
- Support junior team members and provide guidance on data analysis and remediation activities.
- Ensure deliverables are completed with appropriate quality controls and within agreed timelines.
Required Skills & Experience
- 7–10 years of overall experience in data management, data analytics, data remediation, data privacy, data governance,
or related areas.
- Hands-on experience or strong working knowledge of BigID .
- Strong understanding of DBMS and relational database concepts .
- Strong hands-on SQL skills for querying, reconciliation, profiling, and data-quality analysis.
- Strong proficiency in Advanced Excel .
- Strong data analytics and problem-solving capabilities .
- Experience working with large and complex datasets.
- Experience in identifying and investigating data-quality issues and performing root-cause analysis.
- Understanding of data discovery, data classification, data lineage, sensitive data, and data remediation concepts.
- Ability to translate technical findings into clear business language.
- Strong stakeholder management and communication skills.
- Ability to independently manage assigned workstreams and drive issues through to closure.
Preferred Skills
- Experience working on BigID implementation, data discovery, privacy, or remediation programs .
- Experience within Banking, Financial Services and Insurance (BFSI) or other highly regulated industries.
- Understanding of data privacy and protection principles and regulatory requirements.
- Knowledge of data governance, metadata management, data lineage, and data-quality frameworks.
- Experience creating dashboards and management reporting using Excel, Power BI, or similar analytics tools.
- Exposure to Agile/project delivery environments would be beneficial.
Key Competencies
- Strong analytical and problem-solving skills
- Attention to detail and data accuracy
- Structured approach to investigation and remediation
- Stakeholder management
- Strong written and verbal communication
- Ability to work independently and within cross-functional teams
- Ownership and accountability for deliverables
- Ability to manage multiple priorities and deadlines
Expected Outcome of the Role The Senior Consultant will play a key role in converting BigID data-discovery findings into actionable insights and remediation activities , ensuring that identified data issues are accurately analyzed, appropriately remediated, validated, documented, and reported to relevant stakeholders.
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