Data Synchronization Jobs in Ahmedabad

Customer Experience Manager EL Location: Ahmedabad Qualification: Graduate Experience: 1 to 3 Years Employment Type: Full-time Job Description We are seeking a motivated Customer Experience Manager to engage with prospective clients, manage end-to-end customer journeys, and contribute to business growth through effective client servicing and collaboration with relationship channels. This role demands strong communication skills, attention to detail, and a customer-centric approach. Key Responsibilities Client Meetings Engage with prospective clients to understand their financial needs and provide clear explanations of loan products and offerings. Documentation and System Entry Collect and verify all necessary client information and documentation. Ensure accurate and timely entry of client data into the system. Query Handling Address and resolve queries from customers and credit teams promptly. Oversee the entire loan process from file login to disbursement, ensuring smooth operations. Business Development Collaborate with Relationship Channels to identify and create new business opportunities. Participate in campaigns and marketing activities to increase brand presence. Provide support to Relationship Channels as needed. Achieving Business Targets Meet assigned business targets using leads from Contact Centers, Consultants, marketing efforts, and referrals. Additional Benefits Reimbursement of petrol and mobile expenses. Quarterly performance-based incentives. Qualifications & Skills Graduate degree in any discipline. 1 to 3 years of experience in sales or related customer-facing roles. Strong communication and interpersonal skills. Ability to work independently and collaboratively in a team. Knowledge of financial products and services is an advantage. If you are passionate about delivering excellent customer experiences and driving business growth, this is an excellent opportunity to grow your career in financial services! Qualification : Graduate

Junior Coordinator ERP to CRM Digitization Location: Ahmedabad Role Objective: Support the digitization and integration of ERP and CRM systems by coordinating tasks, gathering process inputs, assisting in data mapping, and ensuring smooth collaboration between internal teams and vendors for timely project delivery. Key Responsibilities Project Support & Coordination Assist the project lead in day-to-day coordination between internal teams and IT/CRM vendors. Track task progress, maintain project documentation, and escalate delays or issues promptly. Business Process Documentation Collect inputs from sales, operations, and finance teams to document workflows. Maintain process maps, SOPs, and user requirement documents. Data Handling & Validation Assist in mapping customer, product, pricing, and order data between ERP and CRM systems. Support data cleanup, migration activities, and reconciliation during testing phases. User Acceptance Testing (UAT) & User Coordination Organize and monitor UAT for CRM/ERP modules. Gather user feedback and communicate effectively with the implementation team. Training & Onboarding Support Help prepare user guides and training materials. Support internal training sessions and address basic user queries during rollout. Key Requirements Bachelor s degree in Business, Engineering, IT, or related field. 2 4 years experience in ERP/CRM support, sales operations, or business process roles. Familiarity with tools like Zoho CRM, Salesforce, SAP, Tally, or MS Dynamics preferred. Good understanding of core business processes: inquiry, quotation, order processing, and invoicing. Strong documentation, follow-up, and coordination skills. Preferred Exposure Experience with CRM or ERP implementation/support projects. Basic knowledge of integration or automation tools (e.g., Zapier, API workflows). Proficiency in Excel, Google Sheets, and documentation tools. Comfortable working across IT, sales, and accounts teams. Qualification : Bachelors degree in Business, Engineering, IT, or related field

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.

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).

Responsibilities: Backend Development: Collaborate with the design and front-end development teams to create and maintain WordPress websites with efficient and clean backend code. Develop custom themes and plugins, as well as modify existing ones, to meet project requirements. WordPress Configuration: Install and configure WordPress on servers, ensuring optimal performance, security, and scalability. Set up and manage databases, server-side settings, and caching mechanisms for improved site speed and user experience. API Integration: Integrate third-party APIs and services, such as payment gateways, social media platforms, CRM systems, and analytics tools, into WordPress websites. Ensure seamless data flow and functionality between WordPress and external systems. Performance Optimization: Identify and address performance bottlenecks, code inefficiencies, and database optimization to enhance website speed and overall performance. Implement caching mechanisms, content delivery networks (CDNs), and other techniques to optimize page load times. Security and Maintenance: Implement robust security measures to protect WordPress websites from vulnerabilities, malware, and hacking attempts. Perform regular updates, backups, and maintenance tasks to ensure website stability and reliability. Troubleshooting and Bug Fixing: Investigate and resolve technical issues, bugs, and errors that may arise in WordPress websites. Conduct thorough testing and debugging to identify the root cause and implement effective solutions. Collaboration and Documentation: Work closely with cross-functional teams, including designers, front-end developers, and project managers, to ensure effective communication and collaboration throughout the development process. Document and maintain technical specifications, code documentation, and version control. Required Skills: Proven Experience: Minimum 1 years of professional experience as a WordPress Backend Developer, with a strong portfolio demonstrating successful WordPress projects and customizations. Strong Technical Skills: Proficiency in PHP, MySQL, JavaScript, HTML, CSS, and other relevant web technologies. In-depth knowledge of WordPress architecture, APIs, and coding standards. Familiarity with popular WordPress plugins and frameworks. Customization and Theme Development: Solid experience in developing custom WordPress themes and plugins from scratch. Ability to extensively customize plugins & themes. Must know the core PHP & Oops concept. API Integration: Demonstrated expertise in integrating third-party APIs and services into WordPress websites. Experience with RESTful APIs, OAuth, and data synchronization between different systems. Performance Optimization: Experience optimizing WordPress websites for speed, scalability, and efficiency. Familiarity with caching mechanisms, CDNs, and performance testing tools. Security and Maintenance: Strong understanding of WordPress security best practices, including user authentication, data encryption, and vulnerability scanning. Experience in performing updates, backups, and regular maintenance tasks. Problem-Solving Skills: Analytical mindset with the ability to identify and resolve technical issues, bugs, and errors. Strong troubleshooting and debugging skills. Communication and Collaboration: Excellent teamwork and communication skills. Ability to collaborate effectively with cross-functional teams and stakeholders. Strong documentation and version control practices. If you are a passionate WordPress Backend Developer with a deep understanding of WordPress development, excellent problem-solving skills, and a drive for delivering high-quality solutions, we would love to hear from you. Join our team and contribute to building exceptional WordPress websites that delight our clients and users. Qualification : Bachelors degree, CS or IT

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: Customer Integration / API / EDI Analyst Role Overview: The role of Customer Integration / API / EDI Analyst is to support customers in integrating customer data systems with the ERP systems. This is done through supporting API integrations, configuring and maintaining customer/partner EDI communications, and providing other integration data as needed. The Customer Integration team works directly with customers, third-party integrators, and internal departments. Key Responsibilities Provide integration support for the Vendor s API, validating proper setup and use when applicable. Analyse, design, and develop customer EDI integrations; including communication setup, map editing, and business rule processes. Attend team meetings as an active participant providing input on current issues/tasks and feedback on completed items. Communicate effectively with team members, end users, and customers. Monitor for errors within EDI Package (ARCESB Integration or Manual EDI Process). Work with customers on data integrity issues. Document processes and process changes. Act as a liaison between internal customers and external customers, researching and providing answers to data questions. Escalate items to management or software developers as needed. Minimum Qualifications A.S. (Associate Science) in Information Technologies (2021 or earlier graduation), 2 years of experience with EDI data, or 2 years of SQL/Database experience. Understanding of database structure and ability to query database elements for research. Ability to work in both a team environment and independently. Time Management skills. Analytical skills, the ability to solve problems that may come up during a typical work day. Strong written and verbal communication skills. Strong interpersonal skills with end users, customers, and management. Ability to communicate IT terminology to someone who does not understand technical terms. Fluent in English. Preferred Qualifications Understanding of structured data such as XML/JSON. Understanding of Web Services/API s (SOAP/REST). Database fundamentals including querying and updating tables using SQL. EDI Translation Software Information. ARCESB B2B Integrator. Transaction Sets: 810 (Invoice), 846 (Inventory Advice), 850 (Purchase Order), 855 (Purchase Order ACK), 856 (Advance Ship Notice).

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 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.

Description We are seeking a dynamic and experienced Product Manager to join our team. The Product Manager will be responsible for overseeing the development and execution of our product roadmap. Will work closely with cross-functional teams, including engineering, design, marketing, and sales, to define product requirements, prioritize features, and drive product development efforts. The ideal candidate is passionate about creating innovative solutions, has a strong understanding of market trends and customer needs, and is adept at leading teams to deliver successful products. Responsibilities Develop and maintain the product roadmap, ensuring alignment with business goals and objectives. Gather and prioritize product requirements based on customer feedback, market research, and competitive analysis. Collaborate with engineering and design teams to translate requirements into actionable user stories and product specifications. Lead agile product development processes, including sprint planning, backlog grooming, and release management. Define and track key performance indicators (KPIs) to measure product success and drive continuous improvement. Work closely with marketing and sales teams to develop go-to-market strategies and drive product adoption and revenue growth. Stay informed about industry trends, emerging technologies, and competitive landscape to identify new opportunities and drive innovation. Serve as a product evangelist, communicating product vision, features, and benefits to internal stakeholders and external customers. Requirements Bachelor s Degree or MS in Engineering or equivalent 5+ years of product management experience in a technology-driven environment, with a proven track record of delivering successful products to market. Strong analytical skills and ability to translate complex data and insights into actionable product strategies. Excellent communication and collaboration skills, with the ability to effectively influence and align cross-functional teams. Experience working in agile development methodologies and familiarity with tools such as JIRA, Confluence, and Slack. Deep understanding of user-centered design principles, UX/UI best practices, and product management frameworks. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Qualification : Bachelors Degree or MS in Engineering or equivalent 5+ years of product management experience in a technology-driven environment, with a proven track record of delivering successful products to market.

Job Description: You will be responsible for overseeing various financial activities, including conciliation & reconciliations of the book of accounts, compliance, and bookkeeping. You will ensure GST, TDS & other taxation compliance, and oversee the preparation of accurate financial statements. Proficiency in accounting software such as Tally, along with advanced Excel skills, is essential. Responsibilities: Responsible for Internal Audit, Statutory Audit, Tax Audit, GST Audit, and other such activities Tax Profile: GST compliance, TDS compliance, ITS filing, Transfer Pricing Audit and Return Filing, GST Refund processing Should be well versed with accounting software (Tally or equivalent) and Advanced knowledge of Excel Should have sound knowledge of accounting principles and bookkeeping Will be assisting in preparing accurate and timely financial statements and documents Help to conduct monthly and quarterly account reconciliations to ensure accurate reporting and ledger maintenance Overviewing day-to-day accounting procedures and daily operations Adhere to proper accounting methods, policies, and principles Research and reconcile all discrepancies in accounts Provide data as and when required to assist in various MIS and reports Requirements: Must be B. Com / ICWA (Inter passed out) / MBA Finance / CA (Inter Passed Out) / CA Should have experience of 3-5 years in accounting, compliance, and consolidation of books of accounts Qualification : Must be B. Com / ICWA (Inter passed out) / MBA Finance / CA (Inter Passed Out) / CA