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Data Analyst with 2+ years in Financial Operations, Data Management & Reporting
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Assessing your cultural and operational fit
Banking and Financial Operations Analyst with 2.6 years of experience in financial transactions, KYC verification, reconciliation, and data management. Skilled in handling large financial datasets, MIS reporting, MS Excel, and data validation with strong analytical and problem-solving abilities. Seeking to contribute to efficient financial operations and data-driven decision-making.
Welingkar Institute of Management, Mumbai
PGDM in Finance · Finance
N/A – June 30, 2023
Babuji Avhad Mahavidyalaya (Pune University)
Master of Commerce · Accounting, Auditing and Finance
N/A – June 30, 2021
Babuji Avhad Mahavidyalaya (Pune University)
Bachelor of Commerce · Accounting and Costing
N/A – June 30, 2019
Shri Tilok Jain Vidyalaya
H.S.C · Science
N/A – May 31, 2014
Shri Tilok Jain Vidyalaya
S.S.C · General Studies
N/A – May 31, 2012
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Godavari Urban Multistate Credit Co-Operative Society Ltd.
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Tata's Data Visualisation: Empowering Business with Effective Insights on Forage
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Power BI Micro Course from Skill Course
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Deloitte Australia Data Analytics Job Simulation on Forage
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Advanced Excel - Maharashtra Centre for Career Education
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Cultural Fit Analysis
The candidate's experience is primarily within the banking and financial services sector, which suggests a good cultural fit for organizations in this domain. Their educational background in Finance and Accounting further reinforces this alignment. The certifications in data analytics and visualization show a commitment to continuous learning and adapting to new tools, which is a positive indicator for cultural fit in a data-driven environment. However, the project diversity is limited to financial operations, and there are no explicit non-finance related projects.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, accuracy, and analytical thinking, which are crucial for a Data Analyst role. Their experience in coordinating with internal teams and stakeholders, along with supporting process improvement initiatives, indicates good operational fit and collaborative potential. The focus on data integrity and compliance aligns well with structured data environments.