Data Analyst
EMAPTA
Validate and preprocess Airworthiness Certificate records within a web-based platform by capturing and structuring key maintenance and component data. Ensure accuracy and completeness through data validation, inconsistency checks, and escalation for further review. • Capture and validate key fields such as company name, approving authority, part number, serial number, and component status from scanned maintenance records. • Ensure accurate data transcription from source documents into structured digital format. • Identify missing, inconsistent, or incorrect data and perform necessary corrections prior to submission. • Escalate complex or unclear records for further validation and cross-checking with relevant team members. • Perform quality checks to maintain high data accuracy and support compliance and traceability requirements. • Collaborate with team members through peer review and validation processes to ensure consistent outputs. • Work efficiently within a web-based system in a high-volume, detail-driven environment.
Optimum Info Solutions
Managed large-scale Customer Master Data (CMD) datasets containing 100K+ company records, focusing on firmographic data analysis, enrichment, validation, and automation to improve data quality and support downstream analytics. • Managed and analyzed 100K+ company records within a centralized Customer Master Data repository to ensure accurate and standardized firmographic information. • Processed incoming company account requests from Salesforce Lightning and validated records against existing datasets to maintain master data consistency. • Performed data enrichment and validation workflows by integrating firmographic data from FactSet and Dun & Bradstreet, including corporate identifiers such as FactSet ID, DUNS ID, revenue metrics, employee size, and headquarters location. • Conducted industry classification analysis by reviewing corporate websites and external sources to correctly segment company accounts. • Applied data quality checks and QA/QC validation to identify duplicate entries, incomplete records, and inconsistent data attributes before ingestion into the master dataset. • Performed root cause analysis on data anomalies, identifying recurring issues and improving the accuracy of enrichment workflows. • Designed an AI-assisted Excel macro validation tool that automated duplicate detection, missing-field identification, and invalid data inputs. • Built a macro-based bulk data migration tool that streamlined account uploads into the Customer Master Data system, reducing manual entry and minimizing errors. • Collaborated within an Agile/Scrum environment, participating in daily standups and coordinating with project managers to monitor KPI and SLA performance. • Produced weekly and monthly operational reports using PowerPoint, translating dataset metrics into actionable insights on team performance and data quality.
Institutional Shareholder Services
Curated and validated cyber asset datasets with 98-100% accuracy, primarily supporting the Curation workstream by collecting subsidiaries, domains, and network prefixes, while occasionally contributing to the Data Breach workstream by profiling incident reports. Focused on data validation, corporate structure analysis, and quality assurance to ensure accurate inputs for cybersecurity risk analytics • Manage and process assigned tasks from the centralized assignment workbook, curating lists of companies and tracking completion with full source citations and exception logs. • Operate primarily within the Curation workstream — collect, validate, and standardize asset metadata such as subsidiaries, corporate domains, and network prefixes. • Support the Data Breach stream on an as-needed basis by extracting incident details (attack type, affected data, scope, and actors) from breach reports and summarizing key findings for analysts. • Conduct detailed corporate-structure analysis (M&A, divestitures, spinoffs, joint ventures, parent–child relationships) to ensure correct group hierarchies and ownership mapping. • Verify corporate filings and disclosures to confirm structural changes, ownership, and registry details. • Confirm domain and network-prefix ownership using authoritative registry and lookup services prior to ingestion. • Execute Accuracy Reviews (AR) — peer-review colleagues’ outputs to identify errors, reconcile disputes, and standardize handling of ambiguous cases. • Perform Root Cause Analysis on recurring data anomalies, document corrective actions, and recommend process or template improvements. • Design, pilot, and iterate automation solutions (Excel macros and extraction utilities) to accelerate validation, deduplication, and ingestion workflows. • Mentor new analysts with structured onboarding, sample assignments, and feedback to maintain team quality standards. • Produce weekly status reports and executive slides summarizing data-health KPIs, outstanding issues, and team progress; lead or contribute to monthly newsletter visuals that communicate operational highlights.