Suhainah Sahib

Irvine

Summary

Dynamic Finance & Data Analyst with a solid foundation in PL/SQL and data management strategies. Known for fostering collaboration across teams and delivering impactful financial reporting solutions, ready to drive efficiency and accuracy in financial processes.

Overview

year of professional experience

Certification

Work History

Finance & Data Analyst

Mahendra D. Koradia & Associates

Mumbai

06.2021 - 11.2022

Designed and executed PL/SQL and SQL queries to extract, transform, and cleanse financial data across multiple accounts; improved data accuracy by 15%, reducing manual workload by 20%.
Authored comprehensive BRD/FRD documents, including detailed data mapping, interface specifications, and use-case diagrams, enabling alignment between business teams and IT for financial reporting solutions.
Led EOD batch reconciliation workflows using scripted analyses to validate journal and ledger entries, accurately identifying discrepancies in interest and aging calculations.
Participated in user workshops and requirement elicitation sessions, documenting user stories, gap analysis, and parameter configuration designs.
Collaborated remotely with a cross-location team (India–U.S.). To develop dashboards using Tableau and SQL, providing stakeholders with actionable insights into budgeting trends and cash flows.

Education

MBA - Information Technology

Westcliff University

Irvine, CA

06-2025

Bachelor - Finance

K.C College

India

05-2021

Skills

Jira and Visio expertise
Advanced Excel and BI tools
Agile and Waterfall methodologies
Data management strategies
Team collaboration

SQL proficiency
Accounting software knowledge
Project management skills
Decision-making abilities
Tableau proficiency

Certification

Oracle FLEXCUBE Functional / Technical Certification (in progress)
Coursework in Banking Systems, ISO20022, SWIFT messaging standards, and Core Banking modules

Languages

English

Native/ Bilingual

Hindi

Native/ Bilingual

Tamil

Professional

Marathi

Full Professional

Accomplishments

Reduced financial reporting errors by 15% via SQL‑powered reconciliation scripts.
Accelerated monthly financial reporting cycles by 20% by automating data extraction and dashboard generation in Tableau.
Independently produced documentation (BRD/FRD, RTM) and led requirement‑gathering sessions for multi‑stakeholder projects.

Timeline