BA / Data analyst

Job Title: Business Analyst/Data Analyst

Job Summary

The analyst will support client's data protection programmed. They will review BigID data discovery results, turn the findings into clear insights for stakeholders, and build accurate regex-based classifiers to find sensitive data.

The BA drives and participates in discovery and design sessions and is involved in all aspects of data management implementations including translation of architecture and design documentation into configured solution components, including data models, mappings, rules, reports, and more. The BA should have practical experience extracting and analyzing large amounts of data using SQL queries from a data warehouse environment. This position will have the opportunity to engage with clients utilizing all aspects of a Data Management organization including Data Governance, Data Quality, MDM, and Business Intelligence. You will also be working closely with Cloud, Big Data, Data Modeling, Data Engineering and Project Management consultants. They must be able to work well in multi-functional and multi-shore project teams. This position will require travel to client sites.

Strong IN:

1. Data Discovery Analysis & Inference

• Review and interpret BigID scan results across structured and unstructured data sources.
• Find patterns, sensitive data (PII, PCI, PHI and confidential data) and where it sits across applications.
• Separate true positives from false positives, then sort findings by risk and priority.
• Make clear inferences about data exposure, duplicate data and gaps in coverage.
• Keep findings logs, summaries and inventories of sensitive data.

2. Stakeholder Engagement

• Run review sessions with application owners, data owners and business teams based on the scan findings.
• Confirm the business context of the findings and record decisions on classification, ownership and remediation.
• Gather business input to define new or improved classification rules.
• Present findings, trends and recommendations in simple, business-friendly language.
• Track action items and follow-ups through to closure.

3. Classifier Development (Regular Expressions)

• Design, write and test regular expressions to build and tune classifiers in BigID.
• Turn business definitions of sensitive data into accurate classification rules.
• Improve classifier accuracy by tuning patterns to reduce false positives and false negatives.
• Validate classifiers against sample data and record the test results.
• Keep a version-controlled library of classifiers, with clear definitions and usage notes.

4. Governance & Documentation

• Document classification rules, assumptions and results of validation.
• Help keep the work in line with data privacy, security and regulatory requirements.
• Suggest improvements to scan coverage, classification standards and review processes.

Skill required:

5+ years of experience in Analyst role

3+ years of consulting experience strongly preferred

Practical experience in at least 2 of the following areas:

• Data Integration/Movement
• Business Intelligence
• Data Quality
• Cloud Platforms
• Master Data Management
• Big Data
• Data Governance
• Business and Data Analysis
• Data Modeling

Extensive experience in identifying and documenting business requirements in a data management environment, including use of joint application design facilitation or other requirements gathering techniques

Strong ability to write and debug regular expressions.

Good analytical skills to interpret large discovery and scan datasets.

Understanding of sensitive data categories (PII, PCI, PHI) and basic data privacy concepts.

Working knowledge of SQL and Excel for analysis and reconciliation.

Clear communication skills for discussions with business and technical stakeholders.

Attention to detail and structured documentation.

Good to Have (Add-on)

• Hands-on experience with BigID or similar data discovery and classification tools (e.g., Microsoft Purview, Informatica, Collibra, OneTrust, Varonis).
• Exposure to the insurance or financial services domain.
• Aware of regulations such as GDPR and CCPA.