GRC Data Analytics & Compliance Leader

BENEDICTA OLADOKUN

****************@*****.*** 415-***-**** LinkedIn

CORE COMPETENCIES

● Data Analytics

● Governance, Risk & Compliance (GRC)

● SOX & HIPAA Compliance

● Root Cause Analysis & Audit Readiness

● KPI Reporting & Internal Controls Testing

● Risk Mitigation & Business Process Optimization

TECHNICAL TOOLS

● Jupyter Notebook

● Coding- SQL, Python, R

● SAP

● Data Visualization- Tableau, Power BI

● Excel (Advanced)

● MongoDB

● Google Analytics

PROFESSIONAL EXPERIENCE

Macy’s IT GRC & Cybersecurity Program Analyst February 2025 – Present Houston, TX

● Lead data analysis and compliance initiatives to ensure alignment with SOX and Cybersecurity programs

● Develop Power BI dashboards tracking risk indicators, compliance metrics, and operational performance

● Conduct audits on data processes, access controls, and reporting accuracy to reduce compliance gaps by 15%

● Partner with operations and IT to automate control validation and enhance audit readiness

● Analyze transactional data to identify anomalies, trends, and risks impacting financial and operational integrity PG&E Quality Operations & CAP Specialist February 2023 – January 2025 Oakland & Concord, CA

● Designed & implemented internal control processes aligned with corporate compliance & SOX objectives, improving audit readiness by 25%

● Spearheaded the Corrective Action Program Awareness initiative, enhancing data transparency & improved KPI performance

● Developed a Trend Analytics Program using CAP attributes, enabling 25% faster issue tracking & risk reporting

● Collaborated with SAP/MII teams to remediate data inconsistencies, increasing control accuracy & compliance confidence

● Conducted predictive risk analysis, which reduced overdue CAP issues by 35% through data-driven prevention Macy’s Quality Analyst October 2022 – May 2023 San Francisco, CA

● Coordinated investigations and compliance reporting, ensuring 100% adherence to policy requirements

● Utilized analytics to enhance customer experience and operational efficiency, resulting in a 15% increase in satisfaction

● Streamlined communication and documentation workflows to support audit compliance and consistent reporting Genentech Quality Data Analyst July 2022 – September 2022 South San Francisco, CA

● Performed root cause and trend analysis supporting Good Manufacturing Practice (GMP) and SOX-aligned compliance frameworks

● Created data dashboards tracking performance and risk indicators, reducing recurring incidents by 25%

● Ensured 100% compliance with biotech regulatory standards while maintaining data integrity

● Reconciled investigation data discrepancies, improving reporting accuracy by 15% FCNL Field Operations QA/QC Analyst February 2019 – October 2020 Lagos, Nigeria

● Conducted operational risk assessments and quality audits within oil and gas projects, improving compliance and efficiency by 20%

● Analyzed field data to identify high-risk areas and supported corrective actions aligned with safety and regulatory requirements

● Partnered with stakeholders to establish improvement initiatives that enhanced process reliability and customer satisfaction EDUCATION

● Hult International Business School

o M.S. in Business Analytics, San Francisco 2021–2022 o M.S. in International Business, Dubai / San Francisco / Boston 2020–2021

● Covenant University, Ota, Nigeria

o B.S. in Computer Science 2014–2018

CERTIFICATIONS

● Cause Evaluator Certified PG&E, 2024

● Data Mining with MySQL, NoSQL, Hadoop, Spark, and Hive Hult, 2024

● Certified Pharmaceutical Good Manufacturing Practice (GMP) Professional (CPGP) Genentech, 2022

● Andela Android Development for Beginners Andela, 2017 PROJECT HIGHLIGHTS

● SOX Compliance Dashboard (PG&E): Built Power BI dashboards to visualize and monitor internal control metrics, reducing manual audit prep time by 30%

● SOX Governance Initiative (Macy’s): Collaborated with IT to review Identity and Access Management (IAM) controls and remediation plan

● Predictive Risk Analytics (PG&E): Deployed models to forecast operational failures and mitigate recurring process gaps

● Data Quality Optimization (Genentech): Automated reconciliation scripts, improving audit traceability and CAP data accuracy by 15%

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