Job Summary
This hybrid role for an MNC focuses on delivering high quality analysis and operations support in cards and payments with strong reliance on advanced MS Excel skills. The specialist will handle data driven insights process optimization and reporting to enhance customer centric services across finance related workflows while working closely with cross functional teams in a structured environment.
Responsibilities
Perform daily analysis of cards and payments data using MS Excel to identify trends anomalies and operational gaps that impact transaction accuracy and customer experiencePrepare detailed reports dashboards and summaries in MS Excel to present clear insights on payment volumes settlement timelines and exception items for stakeholdersSupport reconciliation of transaction data by validating entries fees and adjustments to ensure financial accuracy and minimize revenue leakageCoordinate with operations and technology partners to track issues in payment processing and document them systematically to support timely resolutionMonitor adherence to internal controls in cards and payments workflows and highlight deviations to ensure compliance with enterprise risk practicesOptimize existing Excel based trackers and templates by improving formulas formats and structures to reduce manual effort and enhance data reliabilityAssist in root cause analysis of payment disputes chargebacks and reversals by consolidating and reviewing evidence data points and decision logsContribute to process improvement initiatives by documenting current state processes and proposing Excel supported solutions that enhance efficiency and transparencyCollaborate with finance and accounting teams when required to ensure that cards and payments entries align with ledger postings and reporting standardsSupport day shift operations under a hybrid work model by maintaining timely updates communication and documentation of work progress in shared toolsMaintain accurate records of daily activities and key metrics in Excel based logs to support audit readiness and continuous improvement reviewsCommunicate clearly with internal teams about data issues and operational risks in cards and payments so that corrective actions are prioritized and tracked effectivelyApply basic knowledge of consumer lending and finance concepts when available to interpret data patterns and recommend meaningful actions that support business goals
Qualifications
Demonstrate hands on expertise in MS Excel including pivot tables advanced formulas lookup functions and data validation to manage large transaction datasets effectivelyExhibit practical understanding of cards and payments operations such as authorizations settlements refunds and chargebacks to interpret data and support issue resolutionShow familiarity with finance and accounting concepts including reconciliations posting logic and basic financial controls to align transaction data with financial outcomesDisplay awareness of consumer lending products processes and customer journeys when applicable to better contextualize cards and payments data analysisPossess strong analytical thinking communication and documentation skills that enable clear explanation of findings risks and recommendations to non technical stakeholdersAdapt effectively to a structured hybrid work model in a day shift environment while maintaining high standards of reliability accountability and teamwork
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
