Data Analyst 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

Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.

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.

Business Development Executive Dynamics 365 Solutions | 3+ Years Experience | Ahmedabad We are seeking a proactive Business Development Executive with 3+ years of experience in driving global business growth, particularly focused on Dynamics 365 solutions. The ideal candidate will identify new business opportunities, build strategic partnerships, and collaborate with cross-functional teams to expand market presence and revenue. Key Responsibilities: Identify and nurture new business opportunities globally, with a strong focus on Dynamics 365 software solutions. Cultivate and manage strategic partnerships across diverse international markets. Collaborate with sales, marketing, and product teams to develop and execute effective market entry strategies. Provide market insights and competitor analysis related to Dynamics 365 industry trends. Drive business growth by expanding client base and increasing revenue through targeted sales strategies and market research. Qualifications: Proven experience in Business Development or Sales, specifically with software solutions like Dynamics 365. Strong communication, presentation, and negotiation skills. Strategic thinker with the ability to adapt in a fast-changing global business environment. Deep understanding of industry trends and a global mindset to identify new market opportunities. Location: Ahmedabad, India

Job Title: Python Developer (ERP & API Integration) Experience: 2 4 Years Location: Rajkot, Gujarat Vacancies: 2 Job Type: Full-Time Job Overview: We are hiring experienced Python Developers with 2 4 years of hands-on experience to contribute to the development and enhancement of our ERP platform. This role involves working with Python, APIs, and basic SQL operations, as well as applying object-oriented programming (OOP) principles to build scalable, maintainable solutions. Key Responsibilities: Develop Python-based modules and applications to enhance and extend ERP platform features. Perform basic SQL operations including data retrieval, insertion, and manipulation. Support and contribute to API integrations between internal systems and third-party services. Write modular, reusable, and maintainable code using OOP best practices. Participate in debugging, troubleshooting, and resolving software issues. Collaborate closely with cross-functional teams and maintain clear technical documentation. Eligibility & Requirements: 2 to 4 years of experience as a Python Developer. Solid understanding of Python programming, object-oriented principles, and clean coding practices. Familiarity with basic SQL operations and database interactions. Experience or exposure to API development and integration. Strong team collaboration and communication skills. Desirable Skills: Experience with ERP systems or enterprise software development. Familiarity with tools like Postman, Git, or JIRA. Knowledge of frameworks like Flask, Django, or FastAPI is a plus. Understanding of RESTful web services and backend architecture. Personal Attributes: Analytical thinker with attention to detail. Positive, self-motivated, and eager to learn. Ability to work both independently and as part of a collaborative team. Commitment to timely delivery and continuous improvement. Be part of a growing, tech-forward team in Rajkot. Work on challenging ERP and automation projects. Opportunity to grow your Python expertise in a collaborative environment.

Job Title: Business Analyst Location: Ahmedabad, India About Metizsoft: At Metizsoft, we believe that Business Analysts are crucial to our continued growth and success. We offer a challenging and enjoyable collaborative culture that fosters long-term career growth. Join us and contribute to a company committed to innovation and efficiency. The Opportunity: As a Business Analyst at Metizsoft, you will play a pivotal role in guiding our organization toward the future. From researching progressive system solutions to evaluating their impact, you'll be responsible for identifying, developing, and helping implement strategic initiatives that improve efficiency and productivity across various business units. Key Responsibilities: Partner with stakeholders across diverse business units (e.g., sales, finance, security, compliance) to develop comprehensive analyses and documentation collaboratively. Communicate effectively and efficiently with production, managerial, and executive teams. Evaluate, analyze, and communicate systems requirements on an ongoing basis. Maintain systems processes, including delivering monthly status reports to all appropriate parties. Author and update internal and external documentation, formally initiating and delivering requirements and documentation. Conduct daily systems analytics to maximize effectiveness and troubleshoot problems. Develop meaningful and lasting relationships with partners for optimized systems integration. Respond to questions and concerns from managers and executives with supporting research and recommendations. Required Skills & Qualifications: 1 to 3 years of experience in analytics and systems development. High proficiency with SQL and database management. Proven analytical abilities with a keen eye for detail. Experience in generating process documentation and reports. Excellent communication skills, with the ability to translate complex data into clear, actionable insights. Job Details: Job Type: Full-time Industry: IT Services City: Ahmedabad

Job Title: Facebook Ads Executive Location: Ahmedabad, India Education: B.E., B.Tech, MCA, M.E., M.Tech or equivalent technical degree About Media NV Established in 2014, Media NV is a multinational company headquartered in North America, with offices in Ahmedabad and Chandigarh. At Media NV, we operate like a family your success is our growth. Our passionate team combines creativity, technology, and marketing expertise to help businesses thrive online. Whether you seek local or outsourced digital marketing solutions, we align our efforts to meet your unique goals and maximize your brand s potential. Job Summary We are looking for a results-oriented Facebook Ads Executive to manage and optimize Facebook and Instagram advertising campaigns. The ideal candidate will have strong expertise in Facebook Ads Manager, experience designing successful campaigns, and a data-driven approach to maximize return on ad spend (ROAS). You will collaborate closely with the marketing team to align ad strategies with business objectives and drive measurable growth. Key Responsibilities Plan, create, manage, and optimize Facebook and Instagram ad campaigns to increase traffic, conversions, and brand awareness. Target audiences effectively using demographic, behavioral, and interest-based data. Collaborate with the creative team to develop compelling ad copy, visuals, and video content. Monitor and manage ad budgets, ensuring efficient spend and optimal ROI. Conduct A/B testing to improve campaign messaging, creatives, and overall strategy. Track and analyze key performance indicators (KPIs) such as CPC, CTR, ROAS, and conversions. Provide detailed campaign performance reports with actionable recommendations. Continuously optimize campaigns based on performance data, audience insights, and testing results. Work collaboratively with designers, content creators, and marketing managers to ensure brand consistency. Stay updated on Facebook Ads Manager changes, algorithm updates, and emerging paid social media trends. Preferred Qualifications Experience working in e-commerce or a digital marketing agency environment. Familiarity with Google Ads or other paid media platforms. Certifications in Facebook Blueprint, Google Analytics, or similar platforms. Competitive salary with guaranteed increments. 5-day workweek (Monday to Friday) with no sandwich leave policy. Comprehensive health insurance benefits. Regular team gatherings and outings. Supportive and growth-oriented work environment. Generous leave policy. Excellent opportunities for learning and professional development. Employee rewards and recognition programs. Take the next step in your digital marketing career! Join Media NV Ahmedabad as a Facebook Ads Executive and drive impactful social media advertising campaigns. Apply now! Qualification : B.E., B.Tech, MCA, M.E., M.Tech or equivalent technical degree

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).

Business Analyst (Presales) Location: Ahmedabad Job Overview: We are seeking a Business Analyst with strong presales experience to join our team. The ideal candidate will possess a proven track record in areas such as requirement scoping, functional analysis, technology solution design, cost estimation, and proposal preparation. You will work closely with the sales team to create innovative solutions, contribute to proposals, and ensure successful delivery of client requirements. This role involves collaboration with clients, internal teams, and stakeholders to define project scopes and deliverables, as well as providing detailed costings for proposals. Primary Responsibilities: Proposal Development & Management: Collaborate with the sales team to create proposals and pitches for business opportunities. Manage the entire proposal lifecycle, from scope finalization to proposal submission, ensuring the solution meets client requirements. Assist in preparing detailed costings for clients, ensuring that contracts remain profitable. Client Interaction & Requirement Gathering: Work closely with clients to understand their needs and capture detailed requirements. Serve as a liaison between business development managers, clients, and internal teams to ensure smooth communication and understanding of client expectations. Solution Design & Innovation: Guide clients on innovative solutions, helping to identify win themes, and develop a value proposition for each opportunity. Contribute to solutioning, design, estimation, sizing, and proposal writing for complex opportunities. Collaboration with Stakeholders: Coordinate with multiple stakeholders, business units, and partners for large-scale and complex business opportunities. Provide support in cross-functional collaboration to ensure that the solution aligns with organizational capabilities and client needs. Presales Expertise & Proposal Writing: Develop presales collateral, including wireframes, ballparks, and estimations, to guide proposal flow. Present proposals to clients and stakeholders, articulating the solution and its benefits. Ensuring Delivery Alignment: Ensure that the proposed solutions can be delivered by the company's service teams, meeting client requirements. Proactively address any potential roadblocks or risks to ensure that proposals align with timelines, budgets, and scope. Proposal Presentation & Client Interaction: Present the final proposals to clients alongside the sales team, clearly communicating the value proposition and addressing any concerns or questions. Assist in responding to requests for information (RFIs) and requests for proposals (RFPs). Experience Requirements: Proven Track Record: Demonstrated success in requirement scoping, functional analysis, technology solution design, effort estimation, proposal preparation, and client presentations. Presales Experience: Experience in a presales role, including working on innovative solutions, win themes, proposal flow, and value propositions for Fixed Price, T&M, and Service-based engagements. Solutioning & Proposal Writing: Hands-on experience in solutioning, designing, estimating, sizing, and writing proposals. Stakeholder Collaboration: Ability to collaborate effectively with multiple business units, stakeholders, and external partners for complex opportunities. Process-Oriented Approach: Strong adherence to internal processes for reporting, approvals, and proposal submissions. Exposure to Digital Technology Stacks: Significant exposure to technology domains such as UX, Mobility, IoT, eCommerce, and other digital technologies. Communication Skills: Excellent written and verbal communication skills with the ability to present complex solutions clearly to clients and internal teams. Independent & Collaborative Work Style: Ability to work independently and collaborate effectively within a team-oriented, dynamic environment. Qualifications: Bachelor s Degree in Business, Technology, or a related field. 4+ years of experience in presales, business analysis, or a similar role, with a strong focus on technology solutions. Experience with solutioning, proposal writing, and cost estimation. Strong communication, presentation, and client interaction skills. Familiarity with digital technology stacks such as UX, Mobility, IoT, eCommerce, etc. This is a fantastic opportunity for a Business Analyst with presales experience to drive business success through innovative solutions and collaborative efforts. If you have a background in solution design, cost estimation, and client proposal management, we encourage you to apply. Qualification : Bachelors Degree in Business, Technology, or a related field.

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).

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.

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

We are seeking a skilled AWS Redshift Developer to join our team and help us optimize our data warehousing and analytics capabilities. Roles & Responsibilities: Design, develop, and maintain data models and ETL processes in Amazon Redshift. Write complex SQL queries and optimize performance for data retrieval and reporting. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions. Implement best practices for data governance, security, and performance tuning in Redshift. Monitor system performance and troubleshoot any issues that arise. Create and maintain documentation for data models, ETL processes, and system architecture. Stay updated with the latest AWS services and features to enhance data management and analytics capabilities. Requirement: 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift. Proficient in SQL and experience with ETL tools (e.g., AWS Glue, Apache Airflow). Familiarity with data modelling concepts and methodologies. Experience with AWS services such as S3, Lambda, and EC2. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. AWS certifications (e.g., AWS Certified Data Analytics - Specialty). Knowledge of other AWS data services (e.g., RDS, DynamoDB). Experience with BI tools (e.g., Tableau, Power BI) for data visualization. Qualification : 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift.

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.