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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
