602 Data Collection Jobs nearby Satara

Job Description: Institutional Manager Position Overview We are seeking a dynamic Institutional Manager / Sales Executive with strong experience in waterproofing products, flooring solutions, and B2B project sales. The ideal candidate should excel in client communication, field visits, negotiations, and managing relationships across private and government project stakeholders. Key Responsibilities Business Development & Sales Identify and pursue new business opportunities for waterproofing and flooring products in the B2B segment. Drive project sales by engaging with contractors, builders, architects, consultants, and government departments. Promote product portfolios through effective presentations, demos, and technical discussions. Manage complete sales cycles including lead generation, follow-up, proposal submission, negotiation, and closure. Client & Stakeholder Management Conduct regular field visits to build strong relationships with influencers and decision-makers. Leverage networking skills to expand customer reach in both private and government projects. Provide product recommendations and ensure customer satisfaction through effective communication and follow-ups. Market Intelligence & Data Collection Gather market insights related to competitors, upcoming projects, and pricing trends. Prepare accurate sales reports, customer data, and pipeline updates for internal review. Collaborate with internal teams including technical support, operations, and marketing. Negotiation & Presentation Deliver engaging presentations to stakeholders showcasing product benefits and technical features. Lead negotiations to secure profitable deals while aligning with organizational objectives. Required Skills & Qualifications Experience in waterproofing sales, flooring product sales, or construction chemicals is mandatory. Strong exposure to B2B and project-based selling, including government project experience. Excellent communication, presentation, and negotiation skills. Ability to conduct field visits, manage multiple accounts, and drive results independently. Strong data collection, reporting, and CRM management capabilities. Preferred Qualifications Bachelors degree in Civil Engineering, Business Administration, or relevant field. Familiarity with technical aspects of waterproofing, flooring systems, and construction materials. Existing network within builders, contractors, and government project stakeholders. B.A. is required.

Role Overview: As a Data Analyst in the healthcare industry, your main responsibility will be to collect, validate, and analyze hospital financial, clinical, and operational data. You will develop MIS dashboards and reports for management review, providing insights on revenue, cost, utilization, and efficiency trends. Key Responsibilities: - Data Analysis & Reporting: Collect, validate, and analyze hospital financial, clinical, and operational data. Develop MIS dashboards and reports for management review. Provide insights on revenue, cost, utilization, and efficiency trends. - Financial Analysis & Costing: Support hospital costing, service-line profitability, and break-even analysis. Monitor revenue cycle performance (billing, collections, TPA/Insurance). Perform variance analysis against budgets and forecasts. - Business Intelligence & Decision Support: Use computational/statistical methods to model hospital performance (e.g., Cost per surgery, occupancy forecasting). Provide recommendations on pricing, cost optimization, and resource allocation. Assist management in preparing Annual Operating Plans (AOP). - Systems & Process Support: Work with IT/HMIS teams to design automated reporting tools. Ensure data accuracy and integrity in hospital information systems. Support digital initiatives like predictive analytics and AI-driven insights. Qualification Required: - Bachelor's Degree in Accounting/Commerce/Finance/Statistics/Economics. - Master in Finance/Hospital Administration (MHA)/Business Analytics preferred. - Professional Certification (CA/ICWA/CFA/CPA or equivalent) is an added advantage. - Experience in healthcare/hospital industry is strongly preferred.,

Role Overview: Are you interested in pursuing your career in Asset Management and working in a data-driven business environment As a Data and Business Process Analyst at UBS, your role will involve collaborating with a cross-functional team to identify inefficiencies, analyze existing workflows, and simplify processes to enhance operational efficiency, ensure compliance, and drive performance improvement. You will have the opportunity to leverage data analysis tools, process modeling, and problem-solving skills to redesign processes, implement changes aligned with business goals, and drive automation initiatives across various operation functions. Key Responsibilities: - Act as a data and business process analyst to identify inefficiencies and analyze existing workflows for simplification within operations - Utilize data analysis tools, process modeling, and problem-solving skills to identify bottlenecks, redesign processes, and implement changes aligned with business goals - Collaborate with different teams to understand their needs, identify areas for automation, and design the target operating model for transforming data and operations landscape - Leverage data analytics to identify patterns, trends, and anomalies in data, providing insights for business decisions and improving data quality - Contribute to the growth of AM Operations by researching AI/automation tools to enhance operational efficiency - Perform data collection and analysis, process mapping, requirements gathering, stakeholder management, process implementation, and change management activities Qualifications Required: - Minimum of 8 years of hands-on experience in data and business analysis with a focus on operation process optimization, preferably within the financial industry, especially Asset Management - Proficiency with SQL and automation/analytics tools for data extraction, analysis, and reporting - Strong ability in data and process modeling, working with complex datasets, and supporting decision-making and data architecture design - Analytical and problem-solving skills with the capacity to interpret and leverage data and AI capabilities for process improvements - Detail-oriented, solution-focused, with excellent communication skills, proactive approach, and understanding of Agile software methodology and modern CI/CD practices - Visionary mindset with a passion for innovation, cutting-edge technologies, and driving the adoption of AI and GenAI in the data and operations space About the Company: UBS is the world's largest and only truly global wealth manager with operations in four business divisions, including Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in major financial centers across more than 50 countries, UBS stands out for its global reach and expertise. At UBS, people are valued for their diverse skills, experiences, and backgrounds, driving ongoing success through a supportive team, growth opportunities, and flexible working options. The inclusive culture at UBS fosters collaboration and innovation, leveraging artificial intelligence (AI) to work smarter and more efficiently. (Note: The "Disclaimer / Policy Statements" section has been omitted from the Job Description as it does not directly relate to the job role.),

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Manage available resources like hardware, data, and personnel to meet deadlines - Analyze ML algorithms for solving problems and rank them based on success probability - Explore and visualize data to gain insights, identify differences in data distribution that may impact model performance in real-world deployment - Verify data quality through data cleaning and supervise data acquisition process if necessary - Find and utilize available datasets for training - Define validation strategies, pre-processing, and feature engineering for datasets - Define data augmentation pipelines - Train models, tune hyperparameters, analyze model errors, and design strategies to overcome them - Deploy models to production **Desired Candidate Profile:** - Sound understanding of ML and DL algorithms - Architecture-level understanding of CNN and RNN algorithms - Experience with NLP data models and libraries - Good understanding of entity extraction using NLP - Hands-on experience with TensorFlow, scikit-learn, spaCy libraries, etc. - Knowledge of transfer learning - Strong scripting and programming skills in Python and Streamlight - Experience with data science toolkits such as Python, NumPy, Transformers, Fast.AI, etc. - Excellent understanding of machine learning techniques and algorithms like k-NN, Naive Bayes, SVM, Decision Forests, etc. - Proficiency in using query languages - Strong applied statistics skills including distributions, statistical testing, regression, etc. - Data-oriented personality with experience in Data Wrangling and Data Exploration - Experience with Tableau and DataPrep is a plus If you are an immediate joiner with the required expertise, there is no bar on salary for the right candidate.,

Role Overview: You are being sought by Deutsche India to join their team as a Senior Data Scientist. The team's focus is on revolutionizing the Private Bank process landscape through automation and AI innovation. Your role will involve working on data science projects from problem definition to model deployment and performance monitoring. You will collaborate with cross-functional teams to identify opportunities for data-driven and AI-powered solutions and effectively communicate complex findings to various stakeholders. Key Responsibilities: - Define and frame complex business problems into actionable data science questions, exploring opportunities for Generative AI, LLMs, and Agentic AI. - Identify and evaluate relevant data sources for addressing business and AI problems. - Oversee data collection, cleaning, and preprocessing to ensure data quality for ML and Generative AI applications. - Apply statistical understanding to analyze and interpret data, conducting exploratory data analysis to identify trends and hypotheses. - Drive research and implementation of ML algorithms and Generative AI models, emphasizing Transformer architectures and LLMs. - Design and execute experiments to measure the impact of data-driven and Generative AI solutions on business outcomes. - Communicate analytical findings and recommendations to diverse audiences, collaborate with engineering teams for model deployment and maintenance. - Continuously research new data science techniques and Generative AI models, contribute to knowledge sharing within the company. Qualifications Required: - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related fields. - 8+ years of experience in a data scientist role, with expertise in programming (Python, R, SQL), data analysis, statistical concepts, ML algorithms, and Generative AI. - Strong knowledge in Generative AI, LLMs, Transformer architectures, MLOps practices, database querying, data visualization, and cloud platforms. - Leadership qualities including excellent communication skills, analytical abilities, work ethic, and adaptability. - Preferred experience in Banking & Finance Domain with domain-specific expertise. Company Details: Deutsche Bank is committed to empowering its employees to excel together every day, acting responsibly, thinking commercially, taking initiative, and working collaboratively. They strive for a positive, fair, and inclusive work environment where successes are shared and celebrated. For further information about Deutsche Bank, please visit their company website: [Deutsche Bank Company Website](https://www.db.com/company/company.html),

As a Data Engineer at the company, you will be responsible for designing, implementing, and maintaining the data infrastructure and pipelines necessary for AI/ML model training and deployment. Working closely with data scientists and engineers, you will ensure that data is clean, accessible, and efficiently processed. Key Responsibilities: - Build and maintain scalable data pipelines for data collection, processing, and analysis. - Ensure data quality and consistency for training and testing AI models. - Collaborate with data scientists and AI engineers to provide the required data for model development. - Optimize data storage and retrieval to support AI-driven applications. - Implement data governance practices to ensure compliance and security. Qualifications Required: - 6-8 years of experience in data engineering, preferably in financial services. - Strong proficiency in SQL, Python, and big data technologies (e.g., Hadoop, Spark). - Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions. - Familiarity with ETL processes and tools, as well as knowledge of data governance, security, and compliance best practices. At GlobalLogic, you will experience a culture of caring where people come first. You will be part of an inclusive culture of acceptance and belonging, building meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. The company is committed to your continuous learning and development, offering opportunities to try new things, sharpen your skills, and advance your career. You will work on projects that matter, engage your curiosity and problem-solving skills, and contribute to cutting-edge solutions shaping the world today. GlobalLogic supports balance and flexibility in work and life, providing various career areas, roles, and work arrangements. Joining GlobalLogic means being part of a high-trust organization where integrity is key, and trust is fundamental to relationships with employees and clients.,

As a Data Operations Senior Associate within our dynamic team, you will be responsible for conducting independent analysis to identify patterns that lead to innovative questions and solutions. Your role will involve data collection, ensuring data integrity, utilizing data effectively, defining requirements, and performing comprehensive analysis. Leveraging your technical expertise and problem-solving methodologies, you will work across multiple applications of moderate scope. Your advanced technical skills will be utilized in supporting the design and development of metrics reporting and dashboards, enabling Operations Management to achieve their strategic objectives and ensure compliance with all controls, policies, and procedures. - Contributes to the delivery of information, insights, and solutions that inform business strategies and decisions by making recommendations for managing more complex situations - Evaluates information and processes for analysis and reporting purposes - Validates hypotheses, mitigates risks, and optimizes solutions - Contributes significantly to the development of predictive models and data insights - Sources and structures datasets to build graphical visualizations and programing decision-support dashboards, utilizing Intelligence Automation to help with operational efficiency, risk mitigation, and process optimization where strategic solutions are not feasible - Collaborates on functional requirements from stakeholders and translates into technical and data requirements - 5+ years of experience delivering data-driven problem solving or equivalent experience - Proven ability to gather and analyze complex data and develop accurate conclusions with sufficient business comprehension to understand risk implications - Experience working on the development of predictive models and data insights - Intermediate Microsoft Office suite experience - Working knowledge of Tableau. Additional details of the company: No additional details were provided in the job description.,

As a Jr. Data Analyst at ISS STOXX, you will be an integral part of the Global Data Operations team, based in the Mumbai office. Your role will involve helping deliver data and research in an assigned market, focusing on identifying master data management, employment history, board of directors, shareholder rights, stock, and audit findings. **Key Responsibilities:** - Search for, collect, and verify data for companies in your assigned market - Attend to internal/client queries and requests to ensure alignment with data methodology and policy guidelines - Comply with work process standards to maintain data quality - Meet predetermined turn-around goals for work assignments - Escalate data interpretation issues when necessary - Perform root-cause analysis for identified data issues - Update internal documents for performance metrics monitoring - Participate in working committees/projects aside from core responsibilities - Maintain appropriate paper and electronic files as required **Qualifications:** - Post-graduation in Finance or Economics is mandatory - Knowledge and experience in using MS Office - Excellent English communication skills (oral and written) and reading comprehension - Strong analytical and problem-solving skills with attention to detail - Ability to prioritize and work under tight deadlines - Fast learner with willingness to work beyond traditional hours - Experience in data collection, analysis, corporate governance, and business research is advantageous At ISS STOXX, we are committed to hiring the best talent in the industry and empowering them with resources to enhance their career, health, financial, and personal well-being. We foster a culture of diversity and inclusion, ensuring a diverse, equitable, and inclusive workplace. Feel empowered to collaborate and inspire one another at ISS STOXX. Join a leading provider of research and technology solutions for the financial market, offering benchmark and custom indices globally to help clients identify investment opportunities and manage portfolio risks. Explore additional open roles on our website.,

As an Associate Data Scientist at V4C.ai within the Astros division, you will be an integral part of our dynamic team, contributing to projects that push the boundaries of innovation and data analysis in the Astros domain. **Key Responsibilities:** - Support the collection, cleaning, and preprocessing of data to build robust datasets for analysis - Assist in the development and implementation of machine learning models and algorithms - Engage in exploratory data analysis to identify patterns and insights relevant to Astros projects - Collaborate with team members on various data science projects, contributing your fresh perspective and ideas - Participate in training sessions and workshops to further enhance your technical knowledge and skills - Provide support in documenting findings and presenting them to the team **Requirements:** - Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field - Knowledge of programming languages, particularly Python or R, is essential - Familiarity with data manipulation libraries such as Pandas and NumPy - Basic understanding of machine learning principles and practices - Possess strong analytical skills with a focus on detail and accuracy - A proactive attitude towards learning and professional development - Good communication skills and the eagerness to collaborate within a team environment - Willingness to work from our Pune office for hands-on training and experience If you join us, you will receive benefits such as Private Health Insurance, Paid Time Off, Work From Home option after 3 to 6 months of training in the Pune office, and access to Training & Development opportunities.,

Role Overview: You will have the opportunity to have a significant impact on business performance by supporting the data strategy and leading the development of custom models/algorithms at Mondelz International. Working closely with the business leadership team, you will be responsible for managing the vision and agenda for business analytics in your area of responsibility. Key Responsibilities: - Support stakeholders across the portfolio by implementing agile ROI/KPI initiatives to drive improvements - Identify and nurture best-in-class external partners to ensure project delivery - Develop custom models/algorithms to uncover signals, patterns, and trends for enhancing long-term business performance - Assist in the data strategy within your area of responsibility, including data collection architecture, data governance, and data reporting infrastructure - Build and lead a professional and reliable team - Manage the business analytics program practice methodically to communicate effectively with stakeholders about the deliverables Qualifications Required: - Ability to influence the business agenda and provide recommendations to senior leaders - Leadership experience in analytics practice roles - Experience deploying new analytical approaches in a complex organization - Proficiency in using analytics techniques to create business impacts - Proven people leadership experience Additional Company Details: Mondelz International aims to empower people to snack right by offering a broad range of delicious, high-quality snacks made with sustainable ingredients and packaging. With a rich portfolio of globally recognized brands, the company is a leader in biscuits, chocolate, candy, and gum. Mondelz International operates in over 80 countries with a diverse community focused on growth and living the company's purpose and values. (Note: Job Type - Regular, Category - Analytics & Modelling, Subcategory - Analytics & Data Science),

Role Overview: As a Senior Data Scientist at Deutsche India, you will be a key member of the Service Solutions and AI Domain team, dedicated to revolutionizing the Private Bank process landscape through the implementation of data-driven and AI-powered solutions. Your role will involve strategic problem framing, data management, algorithm development, experimentation, effective communication, continuous innovation, and knowledge sharing. You will collaborate with cross-functional teams to identify transformative opportunities for Generative AI, LLMs, and Agentic AI applications, and play a pivotal role in driving innovation, optimizing operations, and delivering exceptional value to customers. Key Responsibilities: - Define and frame complex business problems into actionable data science questions, exploring opportunities for Generative AI, LLMs, and Agentic AI - Identify and evaluate relevant data sources to address business and AI problems - Oversee data collection, cleaning, and preprocessing for traditional ML and Generative AI applications - Apply statistical understanding and conduct exploratory data analysis to interpret data and formulate hypotheses - Drive research, implementation, and evaluation of ML algorithms and Generative AI models, emphasizing Transformer-based architectures and LLMs - Design and execute experiments to measure the impact of data-driven and Generative AI solutions on business outcomes - Communicate analytical findings and recommendations to diverse audiences, collaborate with engineering teams for model deployment and monitoring - Continuously research new data science techniques, Generative AI models, and technologies to enhance organizational capabilities - Contribute to the data science and AI community within the company by sharing knowledge and mentoring junior team members Qualifications Required: - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field - 8+ years of experience in a data scientist role with expertise in data understanding, statistical analysis, ML algorithms, and Generative AI - Proficiency in programming languages such as Python, R, SQL, etc. - Hands-on experience with statistical concepts, machine learning algorithms, and Generative AI models - Familiarity with MLOps practices, cloud platforms, big data technologies, and deep learning frameworks - Excellent communication, problem-solving, and leadership skills - Preferred experience in the Banking & Finance Domain Please note that the qualifications required mentioned above are just a summary and may not include all the criteria defined in the job description.,

You will be responsible for working as a Business/Data Analyst in the IT department. Your role will involve various tasks related to techno-functional areas and data management. - Senior level (No of positions - 01): - Require 10-15 years of work experience in techno-functional areas - Middle-Junior level (No of positions - 03): - Need 1-10 years of work experience in techno-functional areas - Fresh candidates with an interest in techno-functional roles can also be considered - Experience/exposure of software development life cycle from a techno-functional standpoint - Setting up/maintaining data procedures and policies - Collaborating with teams/departments to collect, prepare, organize, protect, and analyze data assets - Understanding business operations and implementing data strategies and systems - Working with technical teams, data scientists, and analysts - Knowledge of relevant applications, big data solutions, and tools - Data collection, storage, management, quality, and data protection - Excellent communication, interaction, presentation, and writing skills with a positive attitude - Self-driven and proactive in suggesting new ideas for efficient data management - Understanding of Indian securities markets - Post Graduate in Management Studies (MBA or equivalent) from a recognized institute - Good understanding of Indian securities markets is preferable,

As a Product Manager/Senior Product Manager - Collections at Novac Technology Solutions Private Limited, a Shriram Group Company, you will play a crucial role in leading the development and enhancement of collections products. Your deep understanding of collections processes, debt recovery strategies, digital lending, and financial technology solutions will be instrumental in driving innovation and efficiency in collections strategies. **Key Responsibilities:** - Develop and own the product roadmap for collections, ensuring alignment with business goals and customer needs. - Design and enhance digital-first collections strategies, leveraging AI, machine learning, and automation tools. - Collaborate with stakeholders to define product requirements and work closely with engineering teams to deliver solutions. - Optimize workflows for collections, reducing delinquency rates and improving recovery efficiency. - Work with compliance and legal teams to ensure adherence to regulatory requirements in collections. - Monitor product performance, analyze data, and implement enhancements based on insights and market trends. **Key Skills & Qualifications:** - Bachelor's/Masters degree in Business, Finance, Technology, or a related field. - Minimum 5 years of experience in product management and development within BFSI, fintech, or digital lending sectors. - Strong understanding of collections lifecycle, debt management, and regulatory frameworks. - Ability to collaborate across teams and drive execution in an agile environment. - Strong problem-solving skills, analytical mindset, and customer-first approach. - Excellent communication, stakeholder management, and leadership abilities. As a Product Manager/Senior Product Manager - Collections at Novac Technology Solutions Private Limited, a Shriram Group Company, you will play a crucial role in leading the development and enhancement of collections products. Your deep understanding of collections processes, debt recovery strategies, digital lending, and financial technology solutions will be instrumental in driving innovation and efficiency in collections strategies. **Key Responsibilities:** - Develop and own the product roadmap for collections, ensuring alignment with business goals and customer needs. - Design and enhance digital-first collections strategies, leveraging AI, machine learning, and automation tools. - Collaborate with stakeholders to define product requirements and work closely with engineering teams to deliver solutions. - Optimize workflows for collections, reducing delinquency rates and improving recovery efficiency. - Work with compliance and legal teams to ensure adherence to regulatory requirements in collections. - Monitor product performance, analyze data, and implement enhancements based on insights and market trends. **Key Skills & Qualifications:** - Bachelor's/Masters degree in Business, Finance, Technology, or a related field. - Minimum 5 years of experience in product management and development within BFSI, fintech, or digital lending sectors. - Strong understanding of collections lifecycle, debt management, and regulatory frameworks. - Ability to collaborate across teams and drive execution in an agile environment. - Strong problem-solving skills, analytical mindset, and customer-first approach. - Excellent communication, stakeholder management, and leadership abilities.

As a Tableau Data Visualization Lead, you will be responsible for designing, developing, and maintaining interactive dashboards and visual analytics solutions that drive business insights and decision-making. **Job Responsibilities:** - Understanding and performing analysis of source systems data. - Estimation and delivery of adhoc and new Tableau MIS. - Designing and developing advanced & visually compelling Tableau dashboards and visualizations tailored to business needs in the Lending domain. Delivering in data visualization best practices, Tableau BI functionalities, and data storytelling. - Collaborating with business stakeholders to gather requirements and translate them into effective data visualizations. - Optimizing Tableau workbooks for performance and scalability. - Integrating and processing large datasets using Databricks (Spark-based platform). - Building and maintaining data transformation notebooks in Databricks to support reporting and analytics. - Ensuring data quality, consistency, and governance across all visualizations. - Working closely with data engineers, analysts, and business teams to deliver end-to-end BI solutions. - Providing technical leadership and mentorship to junior team members. - Staying updated on industry trends, optimizing performance, and ensuring the usability and scalability of Tableau solutions. - Proactively monitoring, data reconciliation, testing, proper documentation, and troubleshooting of MIS issues. - Ensuring developments follow standard coding patterns and are fully documented for audit submissions. - Ensuring compliance with data governance and data security/masking standards for data delivery. **Competencies for the job:** - Proven experience with Advanced SQL and data transformation for Visualization purposes. - Experience in SQL Query Development (T-SQL or Spark SQL). - 6 to 10 years of experience in data visualization and BI development. - Expert-level proficiency in Tableau including calculated fields, parameters, LOD expressions, Dashboard actions, etc. - 1 to 2 years of hands-on experience in Databricks including notebooks, Delta Lake, Spark SQL, and Python/Scala. - Strong SQL skills and experience working with relational databases. - Experience in the Lending domain with an understanding of loan lifecycle, credit risk, collections, and regulatory reporting. - Familiarity with data modeling, data warehousing concepts, and performance tuning. - Excellent communication and stakeholder management skills. - Experience in advance analytics data modeling and visualization scenarios. **Desired Experience:** - Bachelors or Masters degree in Computer Science, Information Systems, or related field. - Tableau certification is a plus. - Experience with cloud platforms (Azure, AWS, or GCP) is desirable. - Knowledge of Agile methodologies and tools like JIRA. - 5+ years of hands-on experience in Tableau Data Visualization and Data Modeling. - Excellent communication skills in written and verbal English. - Knowledge of core functions of a large NBFC/Bank including Sales, Credit, Collections, Finance, and Accounts.,

As the Head of Collections, you will lead and manage the collections function for long-tenure education loans disbursed for study abroad purposes. You are required to be a strategic thinker with hands-on experience in managing early-stage, mid-stage, and delinquent loan buckets. Your responsibilities include shaping collection strategies, building and mentoring the collections team, managing external agencies, and ensuring portfolio health while maintaining sensitivity towards the customer segment. - End-to-End Collections Ownership: - Lead collections strategy across all DPD buckets (0-180+) for long-tenure education loans, focusing on minimizing NPAs and improving recovery rates. - Team Leadership & Vendor Management: - Build, scale, and lead a high-performing in-house collections team and manage third-party collection agencies and legal partners. Define performance metrics, incentives, and escalation frameworks. - Strategy & Execution: - Design and implement risk-based segmentation and differentiated treatment strategies for various borrower profiles (students, co-applicants, parents, guarantors). - Process Optimization: - Introduce digital collections tools, automated reminders, and customer-centric approaches to reduce delinquencies while maintaining brand goodwill. - Regulatory & Compliance: - Ensure adherence to all regulatory guidelines (RBI, NBFC norms) related to collections, customer contact, grievance handling, and fair practices code. - Portfolio Monitoring & Reporting: - Monitor portfolio performance through data analytics, generate MIS reports for internal stakeholders, and present actionable insights to leadership. - Customer Engagement: - Lead initiatives to counsel borrowers on restructuring, settlement (when appropriate), and early resolution while preserving relationships. - Legal & Recovery: - Initiate legal recovery proceedings for chronic defaulters and collaborate with legal teams on litigation, arbitration, and actions as applicable. Experience: - 10+ years in Collections within NBFCs/Banks, with at least 3 years in managing long-tenure loan products (education loans). - Prior experience in education loan collections is highly preferred. Leadership: - Proven experience in team building, performance management, and cross-functional collaboration. Strategic Thinking: - Ability to balance recovery focus with empathy for student borrowers and their financial realities. Communication: - Strong interpersonal and negotiation skills, with experience dealing with senior stakeholders, law firms, and regulatory bodies. Education: - Bachelors degree in Finance, Business, or related field; MBA preferred.,

As a Collections Specialist in the Finance & Accounting Collections Department, you will play a vital role in improving operational and collection efficiency within the Order to Cash domain. Your responsibilities will include: - Monitoring customer accounts to identify outstanding debts. - Investigating historical data for each customer account to address past due invoices. - Updating customer account status records. - Preparing and presenting reports on collection activities and progress. - Handling customer queries and resolving billing and customer credit issues. - Identifying and executing necessary invoice adjustments. - Devising innovative solutions to enhance collection rates. - Contributing effective ideas to automate manual processes and collaborating with key stakeholders to implement solutions. - Setting up calls with onshore teams for process updates, resolving customer queries, and addressing other issues. - Assisting with operational activities such as report preparation and data submissions. Qualifications required for this role include: - A degree in accounting or business administration with a focus on finance. - 4+ years of experience in Collections and Order to Cash Process. - Experience working with International/US customers. - Proficiency in dealing with financial and numeric data. - Exposure to tools like Salesforce, NetSuite, and similar ERP systems. - Expertise in MS Office, particularly Advanced Excel. Additionally, you must be open to working in shifts, specifically from 5:00 pm to 2:00 am (US Shift), subject to change based on process requirements.,

As a Data Research Intern at GrowthPal, you will have the exciting opportunity to work closely with our business development and investment banking team to gather and analyze data to drive business growth. Your expertise in market research will play a key role in decision-making processes. Key Responsibilities: - Conduct in-depth market research to identify leads. - Analyze data and provide to the team according to the mandate. - Collaborate with cross-functional teams. - Assist in creating reports and presentations to communicate findings. - Support in managing databases and data collection processes. - Contribute ideas for improving data analysis process in business development and marketing. Qualifications Required: - Passion for data research. - Ability to work in a fast-paced startup environment. - Strong analytical skills. - Excellent communication and collaboration skills.,

We are looking for a competent Collection Specialist to contact clients and collect outstanding payments. You will struck a balance between maintaining trustful relationships, and ensuring timely payments. Our Collection Specialist should exhibit professionalism and trustworthiness. You should have excellent communication and negotiation skills, as well as an ability to work independently. Responsibilities Monitor accounts to identify outstanding debts Investigate historical data for each debt or bill Find and contact clients to ask about their overdue payments Take actions to encourage timely debt payments Process payments and refunds Resolve billing and customer credit issues Update account status records and collection efforts Report on collection activity and accounts receivable status  

We are seeking an experienced Data Manager to lead the development and utilization of data systems. In this role, you will be responsible for identifying efficient methods to organize, store, and analyze data while maintaining strict security and confidentiality measures. An exceptional Data Manager comprehends the intricacies of data management and possesses a deep understanding of databases and data analysis procedures. You should also possess strong technical acumen and exceptional troubleshooting abilities. Your primary objective will be to ensure the seamless and secure flow of information within and outside the organization, guaranteeing timely access and delivery of data. By implementing effective data management practices, you will contribute to the overall success of our organization. Join our team and be a key driver in optimizing our data systems, unlocking valuable insights, and supporting data-driven decision-making processes. Create and enforce policies for effective data managementFormulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of dataDevise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspectsEstablish rules and procedures for data sharing with upper management, external stakeholders etc.Support others in the daily use of data systems and ensure adherence to legal and company standardsAssist with reports and data extraction when neededMonitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.)Ensure digital databases and archives are protected from security breaches and data losses Proven experience as data managerExcellent understanding of data administration and management functions (collection, analysis, distribution etc.)Familiarity with modern database and information system technologiesProficient in MS Office (Excel, Access, Word etc.)An analytical mindset with problem-solving skillsExcellent communication and collaboration skillsBSc/BA in computer science or relevant field

As a Validation Data Analytics at AGCO, you will play a crucial role in creating and maintaining global standards for reliability engineering and assurance. Your responsibilities will include: - Defining global validation data collection and analysis standards - Ensuring machine data is analyzed to support DVP definition in project planning - Establishing an implementation plan for AGCO sites regarding standard & strategy fulfillment - Continuously exploring best practices within AGCO and the industry to improve data collection and analysis - Driving innovation by implementing the latest simulation methods and seeking new methodologies to enhance data analytics To qualify for this role, you should have: - A 4-year degree in Data Analytics, Electronics, Software Engineering, or a related field - Minimum 2+ years of data-analytics experience (5+ years preferred) - Practical knowledge in data analytics toolchains, methods, and processes - Excellent communication and presentation skills for global teams and stakeholders - Experience with digital twins and AI-driven data-analytics tools (preferred) AGCO values diversity, an enterprising spirit, positive impact, and innovative technologies. They offer benefits such as health care and wellness plans, as well as flexible and virtual work options. AGCO is committed to building a diverse workforce that values inclusion and recognizes the contribution of varied experiences, backgrounds, cultures, and perspectives. Join AGCO to be a part of bringing agriculture into the future! Note: This job description may not cover all activities, duties, responsibilities, or benefits and is subject to change at any time. AGCO is an Equal Opportunity Employer.,