Job_Description":" Company Overview: Chargeback Gurus is a leadingplayer in the chargeback industry, specializing in providing comprehensivesolutions to businesses dealing with payment disputes and fraud. Ourcutting-edge technology and data-driven approach empower businesses to navigatethe complexities of chargebacks effectively. We are seeking an AssociateDirector - MIS and Data Analytics to lead our MIS and data strategy efforts.This individual will play a crucial role in structuring data, building advancedreporting frameworks, and driving business intelligence solutions that enabledata-driven decision-making, contributing to our mission of transforming thechargeback landscape. Position Overview: As the Associate Director MISAnalytics, you will be responsible for designing and managing scalableMIS and Data Analytics processes, leading reporting automation, and translatingraw data into actionable insights. You will oversee business-critical reportingsystems, ensure data accuracy, and collaborate across departments to optimizeperformance metrics. Your expertise in analytics, dash boarding, and datastorytelling will enable key stakeholders to drive business growth throughintelligent, data-driven strategies. This role requires a blend ofstrategic thinking, technical expertise, and leadership, with a strongunderstanding of MIS architecture, data visualization, and automationframeworks. We are a fast-paced firm and love to work withpeople who are creative, smart, flexible, and deep thinkers. We value everymember of our team and work as a collaborative, tight-knit group. We work hard,but dont take ourselves too seriously bring your sense of humor. We arecurrently looking to hire an energetic, highly motivated, can-do attitudeindividual to join our team. Key Responsibilities: 1. MIS Strategy Execution Develop and implement a robust MIS strategy tosupport business intelligence, performance monitoring, and decision-making. Oversee end-to-end MIS processes, ensuringtimely and accurate reporting. Drive the automation of real-time dashboards andreports using Power BI, Tableau, SQL, QuickSight, and other visualizationtools. Establish a centralized data repository forseamless access to key business insights. 2. Data Analysis Business Insights Analyzelarge and complex datasets related to financial transactions, customerbehavior, chargeback trends, and risk assessment. Identify patterns, correlations, and trends toenhance fraud prevention and improve operational efficiency. Provide predictive and prescriptive analytics tohelp stakeholders make data-driven business decisions. Develop interactive and dynamic dashboards thatvisualize KPIs for executive leadership. 3. Business Intelligence ReportingAutomation Design and maintain advanced MIS reports thatprovide real-time business intelligence. Implement automated reporting solutions toenhance data accessibility and minimize manual intervention. Create customized ad-hoc reports for leadershipteams, aligning with evolving business requirements. Partner with data engineering teams to ensureseamless integration of MIS with organizational data warehouses. 4. Data Visualization: Utilize data visualization tools such as PPT, Tableau, Power BI, QuickSight or similar platforms to transform complex data into intuitive visual representations. Design interactive dashboards and reports that allow stakeholders to explore data and gain insights through interactive and dynamic filters and drill-down capabilities. Must be able to interpret complex concepts and translate them into easy-to-understand graphs, charts, and visual graphics. Create intuitive data visualizations and reports that facilitate understanding and decision-making across various organizational levels. 5. Cross-Functional Collaboration Work closely with Sales, Operations, Finance,and Product teams to translate data into business strategies. Support the Sales team by providing insightsinto ROI, revenue optimization, and market trends. Collaborate with IT teams to enhance datagovernance and security protocols. Guide executives and business leaders onleveraging MIS tools for strategic decision-making. 6. Process Optimization Innovation Continuously evaluate and optimize MIS processesto improve operational efficiency.

Job_Description":" Manager (Operations) About the Gurus Chargeback Gurus helps businesses protect and recover revenue by providing innovative chargeback management solutions, AI insights, analytics, powered by our proprietary FPRONE platform. By understanding our clientsneeds and fully aligning with their goals, we help them reduce chargebacks and increase recovery rates to maximize revenue. Our technology solutions use powerful data science and AI analytics - combined with deep industry expertise to deliver hundreds of millions of dollars in recovered revenue to our clients. For more information, visit www.chargebackgurus.com . Duties and Responsibilities: Responsible for the Operations lead of a team and for the delivery of the overall operational metrics sales targets. To proactively maintain regular engagement with key client contacts in line with client expectations. Ensure delivery of Client KPIs/Sales targets including day to day service levels, customer experience, quality measures and compliance measures. Responsible for the development of the operational talent pool byoptimizing the skills of the existing team, in partnership with our internal recruitment teams to attract the very best external talent, in line with the agreed framework, succession planning will be in place to ensure key roles are filled and individual talent is recognized. To have awell-defined CommunicationandEngagement modelin place to ensure all teams understand the performance of the business and that they understand the needs of their teams. Responsibility andaccountabilityfor theoperational performanceof the client areas and for exceeding targets of all required metrics Accountable to dogap analysisof the projects, revenue andprofitability analysis,resource utilizationto improve operational efficiencies. Should conductperiodic progress reviewswith detailed reporting and business reviews. Accountable to do continuous identificationimplementation of operational best practicethrough interaction with the wider team. Manage and develop the operational client relationships by conducting (where appropriate) operational client review meetings and day to day ops liaison within key work stream. Ability to build and maintainSOPs and ensure accountability of the processes. Ability to demonstrate been able to translate business strategy into day-to-day delivery Setting and reviewingQuality performance standards Lead and manage a team of AM/Supervisors/Team Leads/Analysts whose responsibilities are as below: Review cases due to credit card fraud and investigate the case to find a solution.

Job_Description":" Duties and Responsibilities D evelop a pool of qualified candidates as required by the position using sourcing strategies such as passive candidate sourcing, leverage assigned sources, employ individual methodologies to source candidates via social media like Naukri, LinkedIn etc. Create and maintain strong networking relationships with stakeholders and external talent sources. Work as a key member in supporting the companyDiversity Initiatives with a focus on networking and talent acquisition Conduct preliminary phone interviews/screens with selected candidates to further validate skills, experience and knowledge in relation to position requirements using behavioral-based interview techniques Execute winning TA strategy by taking information gathered from HR the business and staying ahead of business needs to proactively search for a diverse pool of top industry talent using various recruiting methods (direct sourcing, referrals, Portals) Daily responsibilities include sourcing, Interview scheduling, Tracking and follow-up, post offer engagement employer branding activities, candidate management etc. Must be good at using any leading ATS, preferably Zoho Recruit Provide Market Intelligence report based on requirements Good at MS- Office, Presentation Excellent communication skills. Requirements Job Requirements Minimum 4-7 years of experience in end-to-end recruitment Any graduate. MBA or Equivalent will be preferred Preferred candidates fromFin-tech / IT / ITES / Financial Service. ","

Job_Description":" Position Overview: As a Senior Data Analyst in the chargebackindustry at Chargeback Gurus, you will play a pivotal role in drivingdata-driven insights, uncovering patterns, and deriving actionablerecommendations to optimize chargeback processes for our clients. You willcollaborate closely with cross-functional teams, leveraging your analyticalskills and industry expertise to enhance decision-making, mitigate risks, andimprove overall business performance. In this role, you should be highlyanalytical with a knack for analysis, math and statistics. Critical thinkingand problem-solving skills are essential for interpreting data. We also want tosee a passion for machine-learning and research. Key Responsibilities 1. Data Analysis andInterpretation: Analyze large and complex datasets related to chargeback/financial/payment transactions, customer behavior, fraud incidents, and payment disputes to identify trends, anomalies, and patterns. Develop and implement advanced analytical techniques to extract meaningful insights from complex data sets, contributing to fraud detection and prevention strategies. Design and implement solutions that identify unique transactions or patterns, contributing to the development of machine learning algorithms that bolster fraud prevention strategies. Monitor and evaluate chargeback data for anomalies, unusual patterns, and emerging fraud trends, taking proactive measures to address potential risks. Utilize advanced statistical methods to provide predictive and prescriptive analytics that fuel informed business decisions. Craft concise narratives and visually compelling reports/dashboards that interpret and communicate data findings, translating complex insights into understandable language for various stakeholders. 2. MIS Reporting and DataPresentation: Develop and maintain Management Information System (MIS) reports that highlight key performance metrics, trends, and insights for executive leadership and operational teams. Create standardized and ad-hoc reports that provide actionable insights to business leaders, guiding strategic initiatives and operational improvements. Develop, automate, and maintain a suite of dynamic reports and dashboards that visualize key performance indicators, providing a comprehensive view of our business health. Employ your analytical prowess to analyze risk-related data, creating strategies that inform risk assessments and compliance efforts. Work with Sales team to provide ROI for the new clients ensure ROI committed for various business requirements are tracked and presented. Create intuitive data visualizations and reports that facilitate understanding and decision-making across various organizational levels. 3. Process Optimization: Collaborate with internal teams, including operations, sales, marketing, client success, and product development, to identify opportunities for process improvements based on data insights. Utilize statistical analysis and predictive methodologies to recommend proactive measures that reduce chargeback rates, improve dispute resolution efficiency, and enhance customer satisfaction. 4. Data Integrity and QualityAssurance: Work closely with data engineering teams to ensure data accuracy, completeness, and consistency in various datasets used for analysis. Collaborate in data cleansing and transformation activities to maintain a reliable foundation for analysis. 5. Data Visualization: Utilize data visualization tools such as PPT, Tableau, Power BI, QuickSight or similar platforms to transform complex data into intuitive visual representations. Design interactive dashboards and reports that allow stakeholders to explore data and gain insights through interactive and dynamic filters and drill-down capabilities. Must be able to interpret complex concepts and translate them into easy-to-understand graphs, charts, and visual graphics. 6. Cross-Functional Collaboration: Collaborate with product managers, engineers, SMEs, and other teams to translate data-driven insights into actionable product features, services, and business strategies. Provide expert guidance and recommendations to both technical and non-technical stakeholders, enabling informed decision-making. Communicate effectively with stakeholders to convey analytical findings and recommendations in a clear and understandable manner.

As a Data Analyst in the chargebackindustry at Chargeback Gurus, you will play a pivotal role in drivingdata-driven insights, uncovering patterns, and deriving actionablerecommendations to optimize chargeback processes for our clients. You willcollaborate closely with cross-functional teams, leveraging your analyticalskills and industry expertise to enhance decision-making, mitigate risks, andimprove overall business performance. In this role, you should be highlyanalytical with a knack for analysis, math and statistics. Critical thinkingand problem-solving skills are essential for interpreting data. We also want tosee a passion for machine-learning and research. Key Responsibilities 1. Data Analysis andInterpretation: Analyze large and complex datasets related to chargeback/financial/payment transactions, customer behavior, fraud incidents, and payment disputes to identify trends, anomalies, and patterns. Develop and implement advanced analytical techniques to extract meaningful insights from complex data sets, contributing to fraud detection and prevention strategies. Design and implement solutions that identify unique transactions or patterns, contributing to the development of machine learning algorithms that bolster fraud prevention strategies. Monitor and evaluate chargeback data for anomalies, unusual patterns, and emerging fraud trends, taking proactive measures to address potential risks. Utilize advanced statistical methods to provide predictive and prescriptive analytics that fuel informed business decisions. Craft concise narratives and visually compelling reports/dashboards that interpret and communicate data findings, translating complex insights into understandable language for various stakeholders. 2. MIS Reporting and DataPresentation: Develop and maintain Management Information System (MIS) reports that highlight key performance metrics, trends, and insights for executive leadership and operational teams. Create standardized and ad-hoc reports that provide actionable insights to business leaders, guiding strategic initiatives and operational improvements. Develop, automate, and maintain a suite of dynamic reports and dashboards that visualize key performance indicators, providing a comprehensive view of our business health. Employ your analytical prowess to analyze risk-related data, creating strategies that inform risk assessments and compliance efforts. Work with Sales team to provide ROI for the new clients ensure ROI committed for various business requirements are tracked and presented. Create intuitive data visualizations and reports that facilitate understanding and decision-making across various organizational levels. 3. Process Optimization: Collaborate with internal teams, including operations, sales, marketing, client success, and product development, to identify opportunities for process improvements based on data insights. Utilize statistical analysis and predictive methodologies to recommend proactive measures that reduce chargeback rates, improve dispute resolution efficiency, and enhance customer satisfaction. 4. Data Integrity and QualityAssurance: Work closely with data engineering teams to ensure data accuracy, completeness, and consistency in various datasets used for analysis. Collaborate in data cleansing and transformation activities to maintain a reliable foundation for analysis. 5. Data Visualization: Utilize data visualization tools such as PPT, Tableau, Power BI, QuickSight or similar platforms to transform complex data into intuitive visual representations. Design interactive dashboards and reports that allow stakeholders to explore data and gain insights through interactive and dynamic filters and drill-down capabilities. Must be able to interpret complex concepts and translate them into easy-to-understand graphs, charts, and visual graphics. 6. Cross-Functional Collaboration: Collaborate with product managers, engineers, SMEs, and other teams to translate data-driven insights into actionable product features, services, and business strategies.