Data Collection Jobs in Ahmedabad

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Job Title: Customer Relationship Executive (Fresher) Experience: Fresher Location: Rajkot, Gujarat Vacancies: 2 Job Type: Full-Time Job Overview: We are seeking motivated and detail-oriented Customer Relationship Executives to join our team in Rajkot. This entry-level role focuses on managing customer relationships, providing excellent after-sales support, and ensuring customer satisfaction through effective communication and problem-solving. Key Responsibilities: Monitor and strategize performance improvements based on logged calls, performance, and revenue metrics. Manage and maintain customer relationships using CRM systems. Communicate proactively with clients about any unforeseen delays or issues. Accurately process customer tasks with timeliness and attention to detail. Respond promptly to customer calls, tasks, and complaints, providing after-sales support as needed. Deliver software technical support via telephone and remote/online channels. Analyze and generate reports on task resolutions within defined timeframes. Conduct customer follow-ups and feedback collection to improve service quality. Coordinate and manage customer calls as required. Review task management systems and report insights to improve processes. Report daily activities and updates to the Support/Sales Manager or Team Leader. Adapt to changing responsibilities based on business needs and performance. Eligibility & Requirements: Freshers with good communication and analytical skills. Ability to handle customer interactions with patience and professionalism. Strong organizational skills and attention to detail. Willingness to learn and adapt in a fast-paced environment. Preferred Skills: Experience or familiarity with CRM systems is a plus. Basic understanding of software technical support. Good problem-solving and reporting skills. Personal Attributes: Positive and proactive attitude. Strong interpersonal and teamwork skills. Ability to work under pressure and meet deadlines. Start your career in customer relationship management with hands-on experience. Work in a supportive and collaborative environment based in Rajkot. Opportunities for learning and growth within a dynamic organization. Apply now to join our team as a Customer Relationship Executive and help us deliver exceptional customer experiences!

Deputy General Manager - ESG Location: Ahmedabad, Gujarat, India Responsibilities ESG Compliance and Strategy Development Develop long-term ESG strategies that align with corporate objectives, ensuring effective communication and implementation across the organization to foster a culture of environmental and social responsibility. Ensure all operations exceed regulatory requirements by developing comprehensive compliance strategies and leading the implementation of these strategies across all departments. Set high-level goals, monitor progress, and address any compliance gaps identified during regular audits. Environmental Stewardship Initiatives Lead the development and implementation of advanced environmental stewardship initiatives within the Hydro PSP plant, focusing on reducing environmental impact and promoting sustainability through innovative practices and technologies. Evaluate the effectiveness of environmental initiatives, making data-driven adjustments to improve outcomes, ensuring all activities are documented and reported to both internal and external stakeholders. Developing Reporting Frameworks Develop and oversee ESG reporting frameworks, ensuring they are robust, transparent, and aligned with industry standards and regulatory requirements. Create standardized reporting procedures for accurate and timely collection of ESG data across all departments. Ensure all ESG reports are comprehensive, providing insights into the plant s environmental, social, and governance performance, and use these reports to guide strategic decision-making and continuous improvement. Social Responsibility Programs Oversee the planning and execution of social responsibility programs aimed at improving the welfare of local communities and enhancing the plant s social impact. Identify key areas where the plant can make a positive difference, such as education, health, and infrastructure, and develop programs to address these needs. Ensure that social responsibility initiatives align with the overall ESG strategy and monitor impact through regular assessments and stakeholder feedback. Governance Structures and Processes Lead efforts to enhance governance structures and processes, ensuring they are robust, transparent, and aligned with best practices in corporate governance. Ensure all governance processes are well-documented, consistently applied, and communicated effectively to all relevant stakeholders. Contribute to the plant s overall operational integrity and ethical standards. Stakeholder Engagement Lead stakeholder relations efforts by developing and executing comprehensive engagement strategies for open, transparent, and proactive communication with all external stakeholders. Oversee the management of relationships with regulatory bodies, local communities, environmental organizations, and other key stakeholders. Ensure all stakeholder communications align with ESG objectives and that feedback is used to inform ongoing ESG initiatives and decision-making. Key Stakeholders Internal: Direct Supervisors & other Department Leaders Project Manager Engineering Head Finance Department HR Department Procurement Department Safety Officer IT Department Legal Department External: Government Regulatory Bodies Grid Authority Hydro Equipment Suppliers Land Owners Local Communities Environmental Consultants Financial Institutions Research Institutions Qualifications Educational Qualifications: Master's degree in Environmental Science, Environmental Engineering, or a related field. Certifications from the Indian Green Building Council (IGBC) or the National Environmental Engineering Research Institute (NEERI) in environmental management or sustainability. Work Experience: 12+ years of experience in environmental management or sustainability roles, preferably in the renewable energy or infrastructure sector. Proven track record in developing and implementing ESG strategies, conducting environmental impact assessments, and ensuring regulatory compliance. Strong understanding of environmental regulations, social responsibility standards, and governance frameworks. Qualification : Master's degree in Environmental Science, Environmental Engineering, or a related field.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Data Miner / Business Development Executive Job Description: Lead Generation: Conduct lead generation through various platforms such as Apollo, online directories (Yellowpages, Pinkpages, AIA), Google search, and more to identify potential clients. Email Marketing: Execute email marketing campaigns, targeting potential leads and nurturing existing ones. Lead Follow-Ups: Actively follow up on generated leads to convert them into potential business opportunities. LinkedIn Outreach: Utilize LinkedIn to engage with prospects, build relationships, and generate business leads. Database Management: Manage and maintain an up-to-date database using HubSpot CRM software, ensuring accurate records and efficient workflow. Data Scraping: Use various data scraping tools such as Webscrapper, Data Miner, and Instant Data Scraper to gather valuable information and insights for lead generation. Requirements: Qualifications: Any graduate/postgraduate (MBA preferred). Shift Timings: Day Shift: 10:00 AM to 07:00 PM (During training period). Post-training shift timings will be determined by the Project Manager. Working Days: 5 working days per week. Qualification : Any graduate/postgraduate (MBA preferred).

Description Job Requirements Role/Job Title Associate Collection Manager- Rural Department/Function Collections Job Purpose: The role bearer has the responsibility to plan, organize, direct and oversee the activities of the collections department. It also includes managing the agencies associated with the company in their assigned territory. The role bearer is responsible for the efficiency and optimization of retrieving EMI from the customers and ensuring adherence to all the guidelines laid out by the bank contributing to the larger organizational objectives of the bank. Roles & Responsibilities: Responsible for managing and undertaking collections process for debts that have been assigned Regularly track the portfolio for specific buckets for the assigned area Track & control the delinquency of the area, Bucket-wise & DPD wise and focus on non-starters Responsible to allocate and achieve targets from agencies/ in house team Regularly follow up with the default customers Ensuring adherence to collection process and legal guidelines Tracing out absconded default customers and initiate recovery process Recommend for legal actions for non-recoverable cases and following up with the legal team for the closure of the cases Maintain data for administrative work related to collection such as updating delinquent account history, providing and maintaining MIS report, reviewing of collection feedback on daily ,weekly & monthly basis Educational Qualifications: Graduation - Any Graduate Experience: Minimum of 2 -5 years of experience in collections. Qualification : Any Graduation.

JOB DESCRIPTION Job Purpose This position is open with Bajaj Finance ltd. An effective communicator with exceptional relationship management skills with ability to relate to people at all levels of business and management. This role requires Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. This roles requires to track & maintain business profitability by ensuring all metrics are in control so as to achieve the business target. Duties and Responsibilities PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with the job) All system enhancement, design, development, testing and roll out with the help of various stake holders i.e. COE, IT, Ops etc. Delivery of volume from service channels cashier & call center service. Delivery of volume from new identified channels like digital, CIBIL watch. Daily system / process support to sales team. Daily business MIS preparation and roll out. Monthly incentive calculation and roll out. Contest calculation and roll out. Liaise with HR team for various activities like R&R, Auto Promotion, IJP roll out, annual and mid-year PMs closure etc. Track and Manage On roll & Off roll headcount and productivity. Liaise with Risk team for Offer generation, policy changes etc. Classroom Training & Training over call for any new enhancement, changes in product / processes. Allocation of monthly offer base to sales / call center team. Conducting various business meet like ZSM / RSM meet / Contest based trips. Managing portfolio metrics: ensuring collection of early delinquent cases and tracking of EWS location management. Managing various vendors: ensuring timely onboarding, calculation of payout etc. Monthly inputs for SMT reporting and Deck preparation. Annual inputs for LRS & AOP Deck preparation. 4. MAJOR CHALLENGES (Challenges faced on an on-going basis in carrying out the job) Major System issues and TAT for its resolution. Frequent system changes. Roll out of new system enhancement / customer communication across various channels. 5. DECISIONS (Key decisions taken by job holder at his/her end) NA 6. INTERACTIONS (Key working relationships a job holder needs to have INSIDE and OUTSIDE the company to accomplish the job) Internal Clients Roles you need to interact with inside the organization to enable success in your day to day work: Connect with various internal department i.e. COE, Sales, Mkt, Credit, Ops, RCU, Collections & Compliance. Connect with HR department for various activities. External Clients Roles you need to interact with outside the organization to enable success in your day to day work: Mapping of market competition and practices. Meeting with external vendors along with IT. 7. DIMENSIONS (Key numerical data which will reflect the scope and scale of activities concerning this job) Financial Dimensions (These should be quantifiable numerical amounts) Business achievement of Fee / Insurance / Rate as per the target. Other Dimensions (Significant volume dimensions associated with the job) Total Team Size: 0 to 2 Number of Direct Reports: 0 to 1 Number of Indirect Reports: NA Number of Outsourced employees: 0 to 2 Number of locations: 1 Number of products: 1 Required Qualifications and Experience SKILLS AND KNOWLEDGE (Minimum acceptable proficiency for this job which best indicates the education and/or experience requirements of this job and not the incumbent) Educational Qualifications Qualifications Graduate / Post Graduate Good command in Microsoft Office suite. Work Experience 3 to 5 years of relevant experience Result oriented - Go getter attitude is must Should have collaborative work style to engage with peers & colleagues across the company. Excellent Team management & Interpersonal Skills. Excellent command over communication skills. Highly ambitious & self-motivated Qualification : Graduate / Post Graduate

Job Title: Data Mining Executive Job Summary We are seeking a highly analytical Data Mining Executive to join our team. The ideal candidate will be responsible for gathering, analyzing, and extracting valuable insights from various datasets to support business decision-making. This role involves using advanced data mining techniques, conducting secondary research, and leveraging tools such as LinkedIn Sales Navigator to drive business opportunities. You will work closely with clients and internal teams to ensure accurate and actionable data is provided. Key Responsibilities Data Mining: Gather and analyze large datasets to extract meaningful insights and patterns to inform business strategies. Secondary Research: Conduct thorough secondary research to gather relevant data, industry trends, and competitor analysis to drive business decisions. Client Communication: Communicate effectively with clients to understand their data requirements and provide them with valuable insights and reports. Spreadsheet Management: Maintain and update spreadsheets to organize data, track project progress, and monitor deadlines. Outreach: Use LinkedIn Sales Navigator and other tools to support business outreach, gather client-specific data, and assist in client acquisition. Reporting and Analysis: Prepare detailed reports based on data mining and analysis to present findings to clients or senior management. Skills Required Data Mining: Experience in extracting and analyzing large sets of structured and unstructured data. Secondary Research: Strong research skills to gather relevant data from various sources. LinkedIn Sales Navigator: Proficiency in using LinkedIn Sales Navigator for client outreach and data collection. Spreadsheet Management: Expertise in managing and analyzing data using Excel or Google Sheets. Market Research: Ability to analyze market trends and competitor data to support business goals. Qualifications Any Graduate (Preferably in Business, Marketing, or related fields). Qualification : Any Graduate (Preferably in Computer Science or related field).

Job Title: Business Development Executive Intern Job Summary We are seeking a BDE Intern to support our business development efforts by conducting web research, identifying prospects, and maintaining an updated database. The ideal candidate will have strong web research skills, proficiency in using MS Office (especially Word, Excel, and Outlook), and good communication skills. As a BDE Intern, you will gather key contact information and maintain accurate records to support business growth. Key Responsibilities Web Research: Conduct web research from various platforms based on the company's defined strategy. Identify potential prospects and key contacts relevant to the business. Data Collection & Database Maintenance: Gather missing data from websites and other sources to ensure completeness. Maintain and update the company s database using CRM tools or Google Sheets. Lead Generation: Identify leads and compile information to drive business development. Collaboration & Reporting: Collaborate with other team members to ensure data accuracy and timely updates. Report on lead generation and data research progress. Proficiency in MS Office: Utilize MS Office tools (Word, Excel, Outlook) for research, data entry, and communication. Skills Required Lead Generation: Experience or understanding of identifying potential leads. Data Mining: Proficient in collecting and organizing data from different platforms. Business Development: Ability to support business development efforts through accurate data and insights. MS Office: Proficiency in MS Word, Excel, and Outlook. Communication Skills: Good written and verbal communication skills in English. Qualifications Any Graduate (Preferably in Business, IT, or related fields).

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Job Title: Data Scientist Experience: 4+ Years Educational Qualification: B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university Role Description We are seeking a skilled Data Scientist to join our team. The ideal candidate will identify valuable data sources, automate data collection processes, and analyze large datasets to uncover trends and patterns. This role involves building predictive models and machine-learning algorithms, collaborating with cross-functional teams, and proposing data-driven solutions to business challenges. Key Responsibilities Identify, collect, and automate data acquisition from valuable sources. Pre-process structured and unstructured data for analysis. Analyze large datasets to discover patterns and trends. Develop and implement predictive models and machine-learning algorithms. Combine multiple models using ensemble modeling techniques. Visualize data and present findings through dashboards and reports. Propose innovative solutions and strategies to address business challenges. Collaborate with engineering and product development teams for seamless integration of data solutions. Required Skills & Experience 4+ years of experience as a Data Scientist or Data Analyst with hands-on data mining experience. Proficiency in business intelligence tools (e.g., Power BI) and data frameworks (e.g., Hadoop). Experience querying databases and using statistical programming languages: Python, SQL, etc.; familiarity with Scala, Java, or C++ is a plus. Strong understanding of statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Tree-based models, and text mining. Expertise in advanced machine learning algorithms: regression, clustering, simulation, scenario analysis, decision trees, neural networks, etc. Solid foundation in machine learning, operations research, and advanced statistical methods. Strong analytical mindset with business acumen and problem-solving capabilities. Excellent project management and organizational skills. Nice-to-Have Skills Strong math skills (e.g., statistics, algebra). Experience working in dynamic, cross-functional environments with diverse teams. Ability to work with data and analytics experts to enhance the functionality of data systems. Qualification : B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university

About the Team: The Translations Department operates within the Documents Insights & Services domain of the Market Intelligence division at S&P Global. This team is responsible for ensuring the timely and accurate translation of content to support both financial and non-financial data collection teams across the division. The department also supports translation needs for various other divisions within the organization. As part of the team, you will be exposed to cutting-edge translation tools and will engage in frequent interactions with global teams, offering valuable insights into industry dynamics, cultural diversity, and the cultivation of a collaborative work environment. The Impact: In this role, you will lead a team of 16 to 18 associates, contributing significantly to the achievement of departmental and organizational goals. You will work closely with your manager to drive initiatives related to translation operations, ensuring that the team delivers high-quality results while adhering to company policies and guidelines. This role provides an opportunity to lead by example, embrace change, and manage communication effectively across diverse teams, supporting the continuous development of your team members and fostering a high-performance culture. What s in it for You: Exposure to Global Operations: Join a large and growing translation operations team, with over 300 employees spread across 7 operating sites, utilizing state-of-the-art tools and processes. Cross-Functional Collaboration: Work with multicultural teams based in Ahmedabad, Hyderabad, Islamabad, Manila, South Korea, Malaysia, and Buenos Aires, aligning with global objectives. Skill Development: Gain broad exposure to various data collection processes within S&P Global, with a focus on translation services required across the organization. Key Responsibilities: Team Leadership: Lead and manage a team of 16 to 18 associates, ensuring optimal performance in the data extraction process from multiple sources, tools, and documents. Process Management: Oversee day-to-day workflow management, ensuring that team members meet operational targets and maintain high accuracy and efficiency in their work. Compliance & Quality Assurance: Ensure team members adhere to company guidelines, policies, and research tools while maintaining compliance in data/information collection processes. Performance & Development: Manage performance reviews, provide coaching, and lead talent development initiatives. Support individual career growth through personalized feedback and training. Stakeholder Engagement: Serve as a point of contact for internal and external clients, ensuring smooth communication and the successful execution of translation and data enhancement projects. Delegation & Resource Planning: Identify individual strengths within the team to allocate tasks effectively, and plan resource requirements to meet business needs while ensuring continuity of operations. What We re Looking For: Functional and Business Knowledge: Strong understanding of operations principles, business and data/content management, and operational workflows. Familiarity with relational database concepts and translation tools, with the ability to leverage these for operational success. Problem-Solving & Project Management: Ability to resolve complex issues within operations and manage projects from inception to completion. Strong conflict and change management skills, with the capacity to perform under pressure and make well-informed decisions. Client and Stakeholder Management: Maintain productive relationships with international clients, ensuring the successful delivery of services. Understand client needs and manage expectations while communicating efficiently and effectively. People Development & Performance Management: Lead team performance management, provide coaching and support, and identify development needs. Set clear goals, provide ongoing training, and foster an environment of continuous improvement. Required Skills & Qualifications: Excellent Communication: Proficient in both written and spoken communication, with the ability to engage with global teams and stakeholders effectively. Leadership and Interpersonal Skills: Strong team leadership abilities, with a focus on building relationships and fostering a collaborative team culture. Analytical & Decision-Making Abilities: Strong analytical thinking, decision-making skills, and attention to detail. Technical Proficiency: Intermediate knowledge of Microsoft Access, SQL, and advanced Microsoft Excel skills. Familiarity with RPA, Machine Learning, and Lean/Six Sigma methodologies is preferred. Flexible Work Schedule: Ability to work in rotational or night shifts as needed. Preferred Qualifications: Postgraduate degree in Commerce, Business Administration, or Management. Bachelor's or Master's Degree in Computer Science. Qualification : Bachelor's or Master's Degree in Computer Science.

About the Team: The Transactions Division at S&P Global Market Intelligence focuses on publishing data related to Mergers & Acquisitions (M&A) and Capital Markets. The team is responsible for collecting, validating, and analyzing corporate transaction data using various sources, such as search tools, press releases, company websites, stock exchange platforms, and regulatory filings. This data is curated and provided to clients in the form of a comprehensive, accurate, and timely product. The Impact: This role plays a crucial part in shaping the Transactions Dataset. As an analyst, you will be involved in collecting and validating data while working closely with peers and stakeholders on process improvements. This position offers an excellent opportunity to gain hands-on experience in the M&A, Private Offerings (PO), and Public Placements (PP) domains. You will deepen your understanding of financial reporting standards, corporate actions, and apply this knowledge in a practical setting. What s in it for You: You will be primarily responsible for the daily collection and validation of transactional data. As you develop a strong understanding of the dataset and become proficient in workflows, you will also have the opportunity to mentor new talent, helping them build their skill set. Additionally, you will be involved in process improvement initiatives, including LEAN and automation projects, that support various S&P Global Market Intelligence products. Key Responsibilities: Data Collection & Validation: Accurately extract, analyze, and input data into work tools according to specified guidelines. Ensure the integrity and quality of the collected data. Data Sources & Research: Utilize search tools, press releases, company websites, regulatory filings, and trade documents to extract and verify transaction data. Dataset Understanding: Develop a deep understanding of the dataset and workflows, becoming proficient in using the work tools and ensuring timely data delivery. Target Achievement: Meet individual and team targets while maintaining a focus on delivering high-quality, error-free results. Process Improvement & Innovation: Provide input for new data collection methods and suggest product enhancements related to the dataset. Project Management: Participate in projects as assigned, ensuring they are completed within the specified timelines while maintaining the required quality standards. Problem Resolution: Troubleshoot issues and provide support to the team to resolve any operational challenges. Basic Qualifications: Educational Background: MBA/BBA (preferably in finance), M.Com, or ACCA. Experience: Previous experience in financial research, data analytics, or quality assurance is preferred. Skills: Strong research and analytical skills. Proficiency in clear and effective communication. Basic knowledge of SQL and VBA is preferred. Ability to manage multiple tasks and priorities simultaneously. Strong teamwork and collaboration skills, with the ability to communicate effectively with global stakeholders. Willingness to work in rotational shifts (Morning, Evening, and Night). About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we provide accurate, deep, and insightful information that empowers our clients to make confident decisions. Our team of experts delivers cutting-edge data and technology solutions, helping organizations expand their perspective, operate with confidence, and make informed decisions. Qualification : MBA/BBA (preferably in finance), M.Com, or ACCA.

About the Role: The Data Quality Measurement Team plays a key role in ensuring the accuracy, timeliness, and reliability of data used by various business units. As part of this team, the Data Content Manager will be responsible for overseeing and managing data quality activities, ensuring that data sets meet the highest standards set by the business or regulatory guidelines. The team is composed of highly skilled professionals who work together to mitigate regulatory and legal risks while delivering exceptional client experiences. The Impact: The role of the Data Content Manager has a wide-reaching impact, influencing decision-making, operational efficiency, customer satisfaction, compliance, and overall team performance. By maintaining high-quality data standards, the organization can derive greater value from its data and gain a competitive advantage. What You Stand to Gain: Professional Growth & Development: Opportunities for career advancement and skill diversification. Direct Impact on Decision-Making: Engage with market leaders, gain cultural exposure, and strengthen stakeholder management skills. Cutting-Edge Technologies & Practices: Exposure to the latest technology adoption and a culture of innovation. Key Responsibilities: Stakeholder Engagement: Work closely with stakeholders to define data quality requirements and usage needs for specific regions or business areas. Ownership of Data Quality: Lead the ongoing delivery of data quality measurement activities, with a focused concentration on a specific region or business area. Issue Identification & Remediation: Identify data quality issues, perform analysis, and escalate for resolution to ensure data accuracy and high quality. Testing & Data Audits: Perform testing on defined use cases for new technologies, deliver results, and identify sources of errors. Also, conduct data audits on new data vendors. Root Cause Analysis: Conduct root cause analysis on smaller data analysis tasks related to assigned or unfamiliar projects. Regulatory Compliance: Implement data quality processes to ensure S&P Ratings compliance with regulatory requirements. Data Querying & Correction: Perform data queries to identify and drive corrections of data inconsistencies. What We re Looking For: Experience: Typically 7-9 years of experience in a data role, with experience in a data quality role being advantageous. Technical Skills: Proficiency in technical tools such as Excel, SQL, Python, data extraction tools, and data visualization tools. Industry Knowledge: Good understanding of financial and market data, data cataloging, and AI technologies and their potential applications in data management. Data Requirements & Querying: Solid understanding of data requirements and intermediate-level data querying skills. Leadership: Ability to manage a team of 8-10 professionals effectively. Collaboration & Problem-Solving: Ability to communicate assumptions clearly, solicit feedback, and find ways to improve. Proactively manage issues and drive solutions. Project Understanding: Understand how individual tasks fit into the larger project and identify issues with requirements early. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that help market participants make confident, data-driven decisions. By providing transparency and high-quality insights into creditworthiness, we enable growth across a wide range of organizations, including businesses, governments, and institutions. As a division of S&P Global, we are the world's leading provider of credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. Our offerings help organizations navigate the economic landscape and plan for the future with confidence.

Data Miner Job Location : Ahmedabad, Gujarat Experience : 1 to 2 Years Roles and responsibilities : Key Responsibilities: Gather, clean, and preprocess data from various sources, including databases, CRM systems, and online platforms. Utilize data mining techniques to identify and qualify potential leads. Develop targeted lead lists based on demographic, firmographic, and behavioral data. Analyze market trends, customer behavior, and competitive landscape to uncover actionable insights and identify new lead opportunities. Create detailed reports and dashboards to present lead generation metrics, trends, and performance to stakeholders. Work closely with sales and marketing teams to align lead generation efforts with business objectives and campaigns. Apply your knowledge of data practices and market trends specific to the US, UK, and Europe to optimize lead generation strategies. Use data mining tools and software to perform data extraction, analysis, and lead qualification. Stay updated with industry trends, emerging tools, and best practices in data mining and lead generation to enhance processes and outcomes. Qualifications: 1-2 years of experience in data mining, lead generation, or a related field. Proficiency in data mining tools. Demonstrated ability to generate and qualify leads using data-driven methods. Strong analytical and problem-solving skills with attention to detail in data analysis and lead generation. Excellent written and verbal communication skills, with the ability to present data insights and lead generation results clearly and effectively. Bachelor s degree in Data Science, Marketing, Business Analytics, or a related field. Perks and Benefits: Healthy & Flexible Work Environment All Saturdays Off (5 Days Working) Performance based Incentive & employee friendly policies Attractive Awards, Festival Celebrations, Picnic, Birthday Celebrations etc. Unlimited opportunity to grow. Qualification : Bachelors degree in Data Science, Marketing, Business Analytics, or a related field.

Description This role involves inspecting, cleaning, transforming, and modeling data to support decision-making. This field demands attention to detail, patience, and a dedication to learning as you identify trends, create and manage reports. As a data professional, you will need to be good at mining business data from disparate sources and collating it for analysis. There will also be an emphasis on understanding your own company and the industry at large quickly. Analyzing aims to extract actionable insights from raw data that can influence strategies and operations. Responsibilities Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems. Detect, examine, and decode trends or patterns within intricate datasets. Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors. Coordinate with management to align business and informational priorities. Identify opportunities for process enhancements. Employ statistical techniques to scrutinize data and produce actionable business insights. Collaborate with the management team to determine and rank the needs of different business units. Convey insights through both reports and visual presentations. Partner with engineering and product development teams to understand business requirements. Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes. Requirements 2-6 years of experience. B.E/B.Tech(computers), B.Sc CS/IT, BBA, MBA in project management, M.Sc CS/IT, M.E/M.Tech is required. Must have strong communication, presentation, interpersonal skills, and vendor management. PMP certification and Project management certifications are plus. Must have great leadership skills Adapt at project and change management Must possess good financial acumen Must have good interpersonal skills Qualification : 2-6 years of experience. B.E/B.Tech(computers), B.Sc CS/IT, BBA, MBA in project management, M.Sc CS/IT, M.E/M.Tech is required.