256 Data Cleaning Jobs

Role Overview: As a Data Analyst Trainer, your primary role will be to train students in analytics, visualization, and reporting to derive business insights. You will be responsible for equipping students with essential skills in Excel, SQL, Power BI, Tableau, and Python basics for data analysis. Key Responsibilities: - Train students on Excel, SQL, Power BI, Tableau, and Python basics for data analysis. - Teach data cleaning, visualization, and dashboard building techniques. - Provide case studies and projects in business, finance, and operations data for practical learning. - Support students in portfolio development and prepare them for industry requirements. - Ensure training modules are updated with the latest trends in analytics. Qualifications Required: - Graduation in Statistics, Computer Science, Economics, or a related field. - Minimum of 2 years of practical experience in data analytics. - Proficiency in SQL, Power BI/Tableau, and MS Excel. - Knowledge of Python or R will be considered an added advantage. - Strong communication and presentation skills are essential for this role. Please note that this is a full-time position that requires in-person work at the specified location.,

As a Tech cum CRM Intern at Kapeefit, you will be responsible for managing, updating, and maintaining CRM data on a daily basis. Your key responsibilities will include conducting CRM audits, data cleaning, and reporting. You will also support the integration of CRM with other platforms such as sales, marketing, and customer support. Additionally, your role will involve troubleshooting and providing first-level technical support for software and system-related issues. You will be expected to generate performance reports, dashboards, and customer insights while assisting in CRM automation, workflows, and process improvements. Collaborating with sales, marketing, and customer service teams for effective lead and customer management will be part of your daily tasks. Moreover, you will research, test, and suggest new tech tools for improving operations, as well as document technical and CRM processes for internal training and usage. The desired skills and qualifications for this role include pursuing or having completed a Bachelor's degree in Computer Science, IT, Business, or a related field. A basic understanding of CRM platforms such as Zoho, HubSpot, Salesforce, or similar is required. Proficiency in MS Excel/Google Sheets for data management and reporting is essential. You should possess a strong problem-solving and analytical mindset, eagerness to learn new tools, and implement automation. Good communication skills and the ability to work with cross-functional teams are necessary, along with attention to detail and ownership of tasks. At Kapeefit, you will have practical, hands-on exposure to CRM and business technology operations. This internship offers you the opportunity to work in a high-growth health & wellness brand, providing mentorship and learning in both tech and business domains. You will receive a stipend and incentives based on performance, with the potential for a permanent role at Kapeefit based on your internship performance. In addition to the exciting work environment, the company provides health insurance benefits. The internship is for a contract length of 4 months and requires in-person work at the specified location. Please note that this job description is subject to change based on the needs of the organization.,

Role Overview: In this role at Kimberly-Clark, you will play a pivotal part in designing and building analytics solutions to facilitate informed decision-making. Your primary responsibility will be to design, develop, and maintain analytics solutions working closely with various R&D and DTS technology teams. By leveraging your professional expertise and talent, you will contribute to delivering better care for billions of people worldwide. Key Responsibilities: - Collaborate with engineering and architecture teams to identify, collect, and harmonize data from various sources. - Design and develop ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines using technologies such as SQL Server, Azure Data Factory, and Databricks. - Develop and maintain data models and data warehouses using platforms like SQL Server, Azure Data Factory, Snowflake, and Databricks. - Implement data quality checks and validation frameworks to maintain high data standards. - Build interpretable and scalable models that meet business needs and develop visualizations to demonstrate results to stakeholders using Microsoft Azure technologies. - Work with key stakeholders to translate requirements into technical designs and mentor junior engineers on data engineering techniques and best practices. - Use Agile methodologies and tools to deliver products in a fast-paced environment and collaborate with platform teams to automate pipeline construction, testing, and code migration. Qualification Required: Mandatory: - Bachelors degree required. - Fluency in English. - 5+ years of experience in data engineering and designing, developing, and building solutions on platforms like SQL, API, Power Query, Microsoft Power BI, Data Factory, and Data Bricks. - Strong knowledge of data collection, analyses, cleaning to build reports for stakeholders. Nice to have: - Experience with Python. - Exposure to SQL Server, Databricks, HANA, Snowflake, and Teradata. - Proven track record in building and maintaining data pipelines, data warehousing, and data modeling. - Strong communication skills, both oral and written, with the ability to convey complex technical concepts to non-technical stakeholders. - Ability to work independently and collaboratively in a team environment. - Familiarity with DevOps tools and practices for continuous integration and deployment. Additional Company Details: Kimberly-Clark is a renowned company known for its iconic brands like Huggies, Kleenex, Cottonelle, Scott, Kotex, Poise, Depend, and Kimberly-Clark Professional. With a history of over 150 years of market leadership, the company is committed to driving innovation, growth, and impact. Kimberly-Clark values sustainability, inclusion, wellbeing, and career development, offering a performance culture fueled by authentic caring. The company encourages flexible work arrangements and prioritizes safety, mutual respect, and human dignity in its operations. Note: This section is optional and can be omitted if not needed.,

As a Data Operations Executive at Material Depot, your role involves being part of the team responsible for ensuring accurate, clean, and optimized product catalog and vendor data for business use. You will collaborate with vendors, internal teams, and technology platforms to manage product listings, clean data, and streamline workflows for India's largest interior materials platform. Key Responsibilities: - Product Listing & Management - Upload and maintain product data across Material Depot's systems. - Ensure accuracy and consistency of product attributes like size, finish, pricing, and categories. - Vendor Coordination - Interact with vendors to collect and validate product data. - Follow up with vendors for missing details or corrections. - Data Cleaning & Collation - Collect raw data from multiple sources and transform it into structured formats. - Identify inconsistencies, duplicates, and errors in data, and resolve them proactively. - Data Analysis & Queries - Use SQL to query, validate, and manipulate datasets. - Generate reports and insights to support internal teams. - Excel Mastery - Create and maintain detailed Excel sheets for bulk product uploads and validations. - Build advanced formulas, pivot tables, and automated checks for efficiency. - Process Efficiency - Maintain high standards of data hygiene across all systems. - Contribute to process improvements and automation initiatives. Qualifications Required: - 12 years of work experience in data operations, catalog management, or related fields. - Proficiency in SQL with the ability to write and optimize queries. - Strong skills in Excel including advanced formulas, pivot tables, and data cleaning tools. - Excellent aptitude, problem-solving ability, and attention to detail. - Good communication skills for coordinating with vendors and cross-functional teams. About the Company: Material Depot offers you the opportunity to be part of a high-growth startup that is transforming the interior dcor materials industry. You will work with large-scale datasets that impact the way India shops for materials. Additionally, there is potential for growth into Data Analytics, Product, or Operations leadership roles. Please note that the annual compensation for this role ranges from 4 to 6 LPA, depending on your work experience.,

As a BI Analytics professional at our company, you will play a crucial role in utilizing BI Analytics Platforms, specifically Zoho, to solve problem statements through data analysis and visualizations. Your responsibilities will include: - Identifying problem statements suitable for data analysis and visualizations - Collaborating with partners and internal teams to comprehend these problem statements - Extracting data from relevant sources and performing data cleaning - Developing automated scripts for data cleaning and validation - Evaluating data quality and suggesting improvements - Providing insights to enhance data collection and validation processes - Transferring data between source and target systems - Presenting data visualizations to facilitate decision-making - Establishing and maintaining data repositories - Ensuring the integrity of datasets - Generating prototypes of future tools and products through brainstorming - Writing queries to retrieve data from various sources Qualifications required for this role include: - Bachelor's or master's degree in Computer Science, IT, or Electronics - 2-3 years of experience in logical thinking, data analytics, quantitative analysis, and algorithm optimization - Proficiency in Database, analytics, and application programming languages like Python, R - Knowledge of Zoho's BI Analytics Platform - Familiarity with Microsoft Excel, Emails, and cloud technologies In addition to technical skills, we value the following behavioral traits in our team members: - Eagerness to learn and experiment with different technologies - Basic communication skills for customer interactions - Constructive thinking to address challenging situations If you are passionate about leveraging data analytics to drive business decisions and possess the required qualifications, we welcome you to apply for this exciting opportunity.,

As a Data Manager at Morsel Research & Development Pvt Ltd, you will be responsible for various functions including monitoring and evaluation research projects/programs, proposal writing, data analysis, and report case studies and paper writing. You will also lead the data cleaning team. Your role will involve utilizing your good understanding of MS Excel, SPSS/STATA, and ability to perform multiple tasks while consistently delivering on deadlines. You will work as a member of a culturally diverse team. Key Responsibilities: - Monitor and evaluate research projects/programs - Write proposals - Analyze data and write case studies and papers - Lead the data cleaning team Qualifications: - Masters degree in Social work, Economics (preferably with experience in applied development and health economics), Public Health, Business Administration - Prior research experience and report writing skills are necessary - Very strong report writing skills If you are interested in joining our team and have the required qualifications and skills, please mail your CV to care@morselindia.org with the subject line "Data Manager" or fill out the job application form provided. For more information about Morsel Research & Development Pvt Ltd, a research consultancy company specializing in Survey Design and Implementation, Campaigns, Training, and Impact Evaluations, please visit our website.,

Role Overview: You will be responsible for generating leads from the international market through email marketing, data mining, and database development using different tools. Your main focus will be on email marketing to generate leads for web development/design and digital marketing. It is essential to have at least 2 years of experience in this field. You should also be familiar with sending bulk emails daily and extracting lead data from search engines and other lead portals. Data management, including data processing and data cleaning, will be part of your responsibilities. Key Responsibilities: - Generating leads from the international market through email marketing - Data mining and database development using various tools - Sending bulk emails daily - Extracting lead data from search engines and other lead portals - Lead generation of international clients through bulk/mass mailing - Data management, including data processing and data cleaning Qualifications Required: - Minimum 2 years of experience in email marketing generating leads for web development/design and digital marketing - Knowledge of lead data extraction from search engines and other lead portals Company Details: No additional details of the company are provided in the job description.,

As a Business Analyst at Denave, your role will involve turning data into knowledge to deliver the best possible solutions to clients. You will be responsible for engaging with stakeholders to gather requirements, analyzing business challenges, deriving insights, managing marketing and sales campaign analytics, ensuring process adherence, conducting business analysis, and supporting ad-hoc analysis and requests. Key Responsibilities: - Engage with stakeholders to elicit, document, and validate business requirements using structured techniques. - Analyze business challenges and opportunities to identify and prioritize needs across projects. - Translate business understanding into actionable insights using qualitative and quantitative analysis. - Identify actionable insights by analyzing data in respect to the business focus/needs. - Interpret data insights to the respective stakeholders. - Manage marketing and sales campaign analytics and provide performance visibility. - Monitor and ensure compliance with established business processes, standards, and governance frameworks. - Conduct gap analysis, feasibility studies, and impact assessments to support decision-making and solution design. - Perform hands-on analysis of large volumes of data and across multiple datasets. - Support ad-hoc analysis and requests from business units and leadership. Qualifications Required: - B.Tech /BE/ BCA/ BSc in Computer Science, Engineering, or relevant field, from reputed Engineering College/Universities is preferred, or Any Graduate. - Minimum 2 years of experience as a Business Analyst, working with BI and Analytics teams or on client-facing projects, is required. - Exposure to large datasets, data cleaning, and storytelling through data. - Strong analytical thinking and problem-solving abilities. - Excellent communication and stakeholder engagement skills. - Proficiency in tools like Power BI, and MS Excel. - Experience with process modeling and documentation (e.g., BPMN, flowcharts). - Ability to synthesize complex data into clear business recommendations.,

As a Data Science Intern at our company, you will be involved in various tasks related to data analysis and machine learning. Your role will include: - Assisting in conducting data analysis and data mining to discover insights and trends - Supporting the development and implementation of machine learning algorithms - Working on Survival Analysis and developing Explainability modules associated with AI inference - Helping in creating data visualizations and reports to communicate findings - Collaborating with team members to solve complex data problems - Performing data cleaning and preprocessing tasks - Supporting the validation and testing of models To qualify for this position, you should be: - Currently pursuing a degree in Computer Science, Statistics, Mathematics, or a related field - Possess strong analytical skills and attention to detail - Proficient in programming languages such as Python, R, or SQL - Able to work both independently and as part of a team - Have excellent written and verbal communication skills If you are passionate about data and eager to enhance your skills in data science, we invite you to apply for this internship. It offers a valuable opportunity to gain hands-on experience in a fast-paced and innovative environment.,

**Job Description:** You are required to teach Applied AI/ML at Newton School, which includes designing and delivering practical, project-based courses in AI/ML such as Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI. Additionally, you will be responsible for developing industry-relevant curriculum, mentoring student projects, guiding and mentoring students on practical skills and career paths in AI/ML, staying updated on the latest AI/ML trends, collaborating with other industry-expert faculty, assessing practical skills, and creating assignments and assessments focused on practical application and understanding. **Key Responsibilities:** - Teach Applied AI/ML courses - Develop industry-relevant curriculum - Mentor student projects - Guide & mentor students - Stay current with AI/ML trends - Collaborate with faculty and staff - Assess practical skills **Required Qualifications & Experience:** - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or similar field - Minimum 2-5 years of hands-on experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role - Proven industry track record in building, training, and deploying machine learning models - Deep understanding of core ML algorithms, model evaluation, statistics, and current industry trends - Passion for teaching and mentoring - Experience in corporate training or mentoring **Required Skills:** - Expert-level Python programming - Proficiency in data science libraries (Pandas, NumPy, Scikit-learn) - Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch) - Strong SQL and data handling skills - Understanding of ML Ops practices and tools - Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs) - Excellent communication and mentoring skills - Team-oriented approach - Genuine interest in education and student success **Good-to-Have:** - Prior teaching experience - Familiarity with modern teaching methodologies **About Uplers:** Uplers aims to make hiring reliable, simple, and fast, supporting talents in finding and applying for relevant contractual onsite opportunities to progress in their careers. They offer a great work environment and opportunities for career advancement. If you are ready for a new challenge and want to take your career to the next level, apply today and explore the opportunities waiting for you!,

As a Statistician I at YouV, you will play a crucial role in conducting statistical analysis for clinical trials, contributing to the interpretation of study results, and ensuring data quality and integrity. Your responsibilities will include: - Assisting in statistical analysis for clinical trials. - Performing data cleaning and validation. - Generating summary tables, figures, and listings. - Assisting in the development of statistical analysis plans and study protocols. - Collaborating with cross-functional teams to ensure data quality and integrity. - Contributing to the interpretation of study results. - Staying updated with relevant regulations and industry best practices. Qualifications required for this role include: - Education: Masters degree in Statistics, Biostatistics, or a related field. - Experience: Minimum of 1-2 years of industry experience as a Statistician within the Life Sciences industry or Contract Research Organization (CRO). - Proficiency in statistical analysis using SAS or R. - Familiarity with clinical trial protocols and statistical analysis plans. - Strong data interpretation and presentation skills. - Ability to work collaboratively in a team environment. Join us at YouV and be part of a collaborative, open-door, and inclusive environment where you will have the opportunity to learn beyond your designation and grow your skills. Experience a unique blend of warmth, positivity, and professional development.,

As a key member of the Corning team, you will play a crucial role in leading business-specific master data and transaction data management activities while supporting process governance and maintenance for the division. Your efforts will be focused on improving data quality and managing the protection of sensitive data and information assets. By standardizing master data management practices at various levels, you will aim to achieve consistency, quality, and protection to meet business and regulatory requirements, as well as support functional strategies. In this dynamic role, you will be responsible for coordinating cross-functional master data management initiatives and interdependencies within the business, ensuring alignment with Corporate/Enterprise data management strategies and initiatives. Your responsibilities will include data management (master and transaction) and performance, supporting the establishment and governance of data management at Corning International sites, and collaborating with corporate data teams to enable better decision-making and processes. Furthermore, you will liaise between business/functional areas and IT to define data-related business requirements, develop and implement data quality standards, provide progress reports on master data programs and projects, and identify new opportunities for enhancing efficiency and effectiveness through the use of information. You will drive the harmonization and standardization of data for systems and processes, acting as a data champion for organization-wide acceptance and helping to drive business outcomes through data integrity, visibility, and accuracy. To excel in this role, you should possess strong communication and leadership skills, be data/business savvy, have expertise in data process and management, and demonstrate the ability to overcome challenges. Collaborative, culturally aware, and with a strong work ethic, you should be capable of developing constructive working relationships, managing conflicts, and making timely decisions to resolve complex business problems. Additionally, a graduate degree (preferably in Business, MBA) along with at least 5 years of experience in services or manufacturing organizations, with significant data management experience, is desired. Knowledge of data governance practices and experience in data migration would be advantageous for this role. If you are ready to make a significant impact by driving data management excellence and innovation within a global leader in glass, ceramic, and materials science, we invite you to join us at Corning and be part of our journey to break through limitations and shape a better future for all.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a SC Data Intelligence Specialist Senior at EY, you will be a part of a dynamic team seeking an experienced Data Intelligence Specialist with a background in Supply Chain Management. Your role will involve designing, developing, and deploying data-driven solutions that enhance supply chain operations and decision-making processes. Your key responsibilities will include: - Conducting data assessment for clients using different frameworks and assisting clients in building a successful data strategy. - Collaborating closely with IT, supply chain, and other stakeholders to understand their data analysis needs and translate them into technical requirements. - Developing strategies to validate, clean, transform, and monitor data to ensure accuracy, consistency, completeness, reliability, and timeliness for intended uses. - Overseeing key standard reports and dashboards, ensuring legal and compliance standards are followed, and maintaining data documentation. - Collaborating with cross-functional teams to implement data-driven strategic initiatives and staying current with the latest trends and technologies in Data for supply chain management. To qualify for this role, you must have: - 5+ years of experience in Data Intelligence Cloud, Data Quality/Cleansing, with expertise in data governance design and setup. - Proficiency in developing data strategy roadmaps, data quality standards, data profiling, data quality reporting, and data governance. - Experience with data intelligence cloud platforms such as Snowflake, Azure, and data bricks. Additionally, ideal candidates will possess exceptional communication skills, stakeholder management abilities, critical thinking, problem-solving analytical capabilities, and the capacity to translate complex solutions into understandable content. You should also be adept at collecting and identifying business requirements and translating them into functional requirements and acceptance criteria. Working at EY offers you the opportunity to work on inspiring and meaningful projects, receive support, coaching, and feedback from engaging colleagues, develop new skills, and progress your career. You will have the freedom and flexibility to handle your role in a way that suits you best, all while contributing to building a better working world with EY's diverse teams across over 150 countries. EY exists to build a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets. Through the use of data and technology, EY teams provide trust through assurance, help clients grow, transform, and operate, and ask better questions to find new answers for the complex issues facing our world today.,

We are looking for a highly motivated and experienced data scientist to lead the team of Gen-Ai Engineers. As a data scientist, you will be responsible for managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a passion for artificial intelligence and stay updated on the latest developments in the field. You will be expected to utilize frameworks like Langchain for developing scalable and efficient AI solutions. Additionally, you will integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. Working closely with cross-functional teams, you will define problem statements and prototype solutions leveraging generative AI. Ensuring robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development will be a key responsibility. Your tasks will include exploring and visualizing data to gain insights and identifying differences in data distribution that could impact model performance in real-world deployment. You will devise and oversee data-centered projects, verify data quality through cleaning, supervise data acquisition processes, and find suitable datasets for training. Defining validation strategies, feature engineering, and data augmentation pipelines will also be part of your role. As for qualifications, we require a Bachelors/Masters degree in computer science, data science, mathematics, or a related field, along with at least 5-10 years of experience in building Gen-Ai applications. Preferred skills for this role include proficiency in statistical techniques like hypothesis testing, regression analysis, clustering, classification, and time series analysis. You should also be proficient in deep learning frameworks such as TensorFlow, PyTorch, and Keras, specializing in Deep Learning (NLP) and statistical machine learning. Strong Python skills are essential, along with experience in developing production-grade applications. Familiarity with Langchain framework and vector databases like Azure Cognitive Search, Weavite, or Pinecone, as well as understanding and experience with retrieval algorithms, will be advantageous. Experience with Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive for efficient data processing and analysis at scale is preferred. Familiarity with working and deploying applications on Ubuntu/Linux systems and excellent communication, negotiation, and interpersonal skills are also desired qualities for this role.,

You will be responsible for managing end-to-end delivery of data management services for single or multi-service projects with minimal guidance. Your role will involve ensuring quality deliverables are provided on time and within budget to achieve customer satisfaction. As part of the Data Management (DM) team, you will offer comprehensive expertise to deliver high-quality data management products that align with customer needs. Leadership in project planning, execution, and close-out, financial management for data management activities, communication, and milestone deliverables will be essential aspects of your role. Additionally, you will take on the role of Data Team Lead (DTL). Your key responsibilities will include gathering study set up requirements through discussions with relevant stakeholders, providing support in the validation of new device integrations, and performing regular data cleaning activities to maintain clean data and ensure timely deliverables. It will be crucial to ensure that all deliverables meet expected quality standards and customer expectations within agreed timelines and contract/Scope of Work (SOW). You will also support the training of new team members, lead internal study meetings, participate in sponsor audits and meetings, track project progress, identify risks, and implement corrective actions as necessary. Collaboration with the programming team for process innovation and automation will be part of your role, along with compliance with trainings and eSOP reading. To qualify for this role, you should have a Bachelor's Degree in health, clinical, biological, or mathematical sciences, or a related field, along with proven experience in Data Management. A minimum of 3-4 years of direct Data Management experience, including at least 1 year as a CDM project lead, is required. Proficiency in spoken and written English, advanced computer applications such as Microsoft Excel, Word, and understanding of drug development lifecycle and overall clinical research process is essential. In this position, effective communication with your Line Manager and team members across functions is crucial. You will also be involved in developing, revising, and maintaining core operating procedures and working instructions, ensuring collaborative communication and efficient project management. Company Overview: IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. The company aims to create intelligent connections to accelerate the development and commercialization of innovative medical treatments, ultimately improving patient outcomes and population health worldwide. To learn more about IQVIA, visit https://jobs.iqvia.com.,

The Risk Analytics Advisory team at Grant Thornton INDUS is looking for a Risk Analytics Senior Associate to join their dynamic team in Bengaluru. As a part of this team, you will play a crucial role in delivering analytics projects for multiple clients across various industries. Your responsibilities will include collaborating with internal audit and compliance teams to develop innovative data analytics solutions. You will be involved in quantitative analysis of structured, semi-structured, and unstructured data using programming techniques such as SQL, R, and Python. In this role, you will be responsible for tasks ranging from initial data scoping and ETL in the audit-planning phase to developing analytical solutions to support strategic efforts and audit fieldwork. The type of analysis you will be involved in includes fraud detection, historical modeling, outlier analysis, and data visualizations. You will work closely with the manager, contributing to client management and practice development. The ideal candidate for this position should be adaptable and willing to tackle a diverse range of challenges. You should have a hunger for expanding your technical knowledge and skills to address complex technical problems effectively. Key Skills Required: - Programming language proficiency in SQL, R, or Python - Data cleaning and transformation using Power Query - Data visualization experience with Power BI and/or Tableau - Good understanding of internal audit concepts and processes Preferred Skills: - Proficiency in MS Power platform, including Power Automate and/or canvas Apps - Knowledge of ELT using Alteryx Primary Responsibilities: - Develop work plans and analyze relevant data sets using advanced analytics techniques - Work independently or as part of a team to solve problems involving complex data sets - Request, validate, and manipulate large data sets to identify trends for audit and business decisions - Write SQL and Python applications and scripts - Create, manage, and utilize high-performance relational databases like MS SQL Server - Communicate complex analytic findings effectively through written and verbal reports - Design analytics aligned with audit plans and related data - Drive analytic activities to identify key indicators and outliers from an audit and compliance perspective Grant Thornton INDUS is a shared services center supporting Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. The organization offers professionals opportunities to work across disciplines like Tax, Audit, Advisory, and operational functions. Grant Thornton INDUS values collaboration, quality, and strong relationships, aiming to make business more personal and build trust in every result. Joining Grant Thornton INDUS means being part of a transparent, competitive, and excellence-driven firm that emphasizes empowered people, bold leadership, and distinctive client service. Professionals at Grant Thornton INDUS also engage in community service to give back to the communities they work in. If you are ready to be part of something significant and contribute to a culture of excellence, Grant Thornton INDUS is the place for you.,

As a Data Analyst at Rishi FIBC, Green Pro, and Krishi Geopack, you will be responsible for supporting the marketing team and management in developing effective brand strategies and marketing plans to drive business volume growth. Your role will be crucial in positioning the company as the global supplier of choice in the FIBC industry and other Rishi Products. Your responsibilities will include data collection, cleaning, preprocessing, analysis, report generation, interpretation, visualization, and ensuring data security. It is essential to have a strong educational background in IT or Computer Science (BE/B.Sc.) and at least 2 years of experience in data analysis tools. Proficiency in Microsoft Power BI, MS-SQL, and Python is required to excel in this role.,

As an Associate Statistician at our organization, your role will involve assisting in conducting statistical analysis for clinical trials. You will be responsible for performing data cleaning and validation, as well as generating summary tables, figures, and listings. Additionally, you will collaborate with cross-functional teams to ensure data quality and integrity, contribute to the interpretation of study results, and stay updated with relevant regulations and industry best practices. Your qualifications should include a Bachelor's degree in Statistics, Biostatistics, or a related field. You will have the opportunity to work under the guidance of senior statisticians, conduct statistical analysis, perform data management tasks such as data cleaning and transformation, and assist in generating analysis datasets and statistical outputs. Collaboration with programmers and data managers to ensure data quality and consistency will also be a key part of your responsibilities. Furthermore, you will contribute to the development and review of study documents and regulatory submissions, participate in departmental meetings and training programs, and stay informed about emerging statistical methodologies and industry trends. Our organization values teamwork, co-creation, and co-execution, providing a supportive and inclusive work environment where you can learn and grow beyond your designated role. Join us in making work meaningful together and be a part of a culture that promotes warmth, positivity, and collaboration.,

As a Data Research Intern, your main responsibility will be to collect data from online sources, surveys, or databases to support research projects. You will be expected to analyze datasets using tools like Excel, SQL, or statistical software under the guidance of senior analysts. Your role will involve conducting market and competitor research to assist in making strategic decisions. In addition, you will be tasked with preparing detailed research reports, charts, and presentations for internal use. This will require you to perform literature reviews to gather background information on relevant topics. It will also be essential for you to clean and verify raw data to ensure accuracy and consistency in your findings. As part of the team, you will support senior analysts in their ongoing research tasks. You will be required to monitor industry news and trends that are pertinent to the business or project. Moreover, you will maintain well-organized records of research findings and documents for future reference. Furthermore, you will have the opportunity to present key findings and insights in team meetings and discussions. This role will not only provide you with hands-on experience but also offer the following benefits: - Certificate of Internship - Letter of recommendation (based on Performance) - Opportunity to work in a fast-growing IT and design company - Exposure to a dynamic and collaborative work environment - Training and support for personal and professional development If you are looking to kickstart your career in data research and analysis, this internship position will provide you with valuable insights and practical skills in a supportive and learning-oriented environment.,

You will be joining HCL Software, a Product Development Division of HCL Tech, where we deliver transformative software solutions to clients worldwide. Our focus areas include AI, Automation, Data & Analytics, Security, and Cloud. As a Lead Python Developer (Data Science, AI/ML) with over 8 years of experience, you will play a crucial role in developing AI-driven Marketing Campaigns using the HCL Unica+ Marketing Platform. This platform empowers clients to execute precise and high-performance marketing campaigns across various channels such as social media, AdTech platforms, mobile applications, and websites. To excel in this role, you should possess: - 8-12 years of Python Development Experience with at least 4 years dedicated to data science and machine learning. - Familiarity with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce. - Experience with AWS SageMaker and Lang Chain, RAG for Generative AI would be advantageous. - Proficiency in integration tools like Postman, Swagger, API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to work effectively in an agile team environment. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT. Your responsibilities will include: - Proficient Python Programming & Libraries knowledge, particularly Pandas, NumPy, and Matplotlib/Seaborn. - Strong grasp of Statistical Analysis & Modelling concepts. - Expertise in Data Cleaning & Preprocessing techniques. - Proficiency in SQL & Database Management for efficient data querying. - Skill in Exploratory Data Analysis (EDA) to understand datasets. - In-depth understanding and practical experience with various Machine Learning Algorithms. - Proficiency with major Deep Learning Frameworks like TensorFlow or PyTorch. - Ability to evaluate models and optimize their performance. - Understanding of Deployment & MLOps Concepts for production environments. This role may require approximately 30% travel, and the preferred location is India (Pune). In addition to a competitive base salary, you will be eligible for bonuses based on performance.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are seeking an experienced Data Intelligence Specialist with a background in Supply Chain Management to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying data-driven solutions that enhance supply chain operations and decision-making processes. Your responsibilities will include data assessment for clients using different frameworks, supporting clients to build a successful data strategy, working closely with IT, supply chain, and other stakeholders to understand their data analysis needs, and translating them into technical requirements. You should be able to develop strategies to validate, clean, transform, and monitor data to ensure accuracy, consistency, completeness, reliability, and timeliness for intended uses. Additionally, you will oversee key standard reports and dashboards, assure compliance with legal and other standards, and maintain data documentation. Collaboration with IT, supply chain teams, and other stakeholders is crucial to ensure data integrity and compliance with company standards. You will also stay updated with the latest trends and technologies in Data in supply chain management to recommend improvements and innovations, participate in the full lifecycle of data governance projects, and collaborate with cross-functional teams to implement data-driven strategic initiatives. To qualify for this role, you must have 5+ years of experience in Data Intelligence Cloud, Data Quality/Cleansing, strong experience in data quality/maturity frameworks, expertise in Data Governance design and setup, and experience in data intelligence cloud platforms like Snowflake, Azure, and data bricks. Exceptional communication skills, stakeholder management skills, critical thinking, and problem-solving abilities are also required. Additionally, you should be able to build storylines, translate complex solutions into clear content, collect and identify business requirements, and translate them into functional requirements and acceptance criteria. Working at EY offers support, coaching, and feedback from engaging colleagues, opportunities for skill development and career progression, freedom, and flexibility to handle your role in a way that suits you. EY exists to build a better working world, creating long-term value for clients, people, and society, and building trust in the capital markets. EY teams provide trust through assurance and help clients grow, transform, and operate across assurance, consulting, law, strategy, tax, and transactions, asking better questions to find new answers for today's complex issues.,

As an intern at Sparsh Magic, your day-to-day responsibilities will include performing data entry and cleaning tasks, conducting database backup and recovery operations, and executing data integrity checks. Sparsh Magic is a performance management partner for companies, dedicated to assisting organizations in achieving and surpassing their objectives. We specialize in optimizing resources to support companies in reaching their goals.,

Skilled in high-volume data entry with strong typing speed & 100% accuracy. Proficient in Excel & Google Sheets. Detail-oriented with experience in managing large datasets. Fast, reliable, and efficient in data processing & documentation tasks.

As a Data Management Specialist, you will be responsible for organizing and standardizing large datasets from various sources to create a structured and unified database. Your role will involve implementing a classification system to categorize data for easy access and analysis. You will ensure data cleanliness by identifying duplicates, correcting errors, and maintaining consistency in data formats. Analyzing data to define customer personas based on key attributes such as demographics, purchase history, and online behavior will be a crucial part of your job. You will build segmented customer groups to provide insights into customer behavior and preferences. Regularly updating personas based on the latest data will ensure accurate targeting for marketing campaigns. Your role will also involve extracting and segmenting customer data to support personalized marketing campaigns. Generating reports to track customer engagement and campaign performance will be essential. Providing actionable insights to refine targeting strategies and optimize campaign effectiveness will contribute to the success of marketing initiatives. Integrating data from different platforms to gain a comprehensive view of customer interactions and preferences will be part of your responsibilities. You will need to update and maintain the database regularly to ensure accuracy and relevance for marketing efforts. Setting up automated data pipelines to continuously feed and update the database with fresh customer data is key. Ensuring data security and privacy compliance by storing customer data securely and implementing access controls will be critical. Collaborating closely with the marketing department to provide data-driven recommendations for audience targeting and messaging will be essential. Supporting the development of marketing personas, segmentation strategies, and data-driven creative approaches will be part of your role. Monitoring database performance to ensure efficient data retrieval and analysis is accurate will be part of your responsibilities. Optimizing the database for quicker, relevant insights to leverage for marketing and decision-making will be crucial. Utilizing advanced database management tools and staying up-to-date with the latest trends in data management and marketing analytics will be necessary for efficient data management and reporting. This is a full-time, permanent position with benefits including health insurance, paid sick time, and provident fund. The work schedule is during the day shift and morning shift, with the work location being in person.,

As a Data Analyst Trainee (Remote) at our forward-thinking tech company, you will have the opportunity to work with experienced data analysts and contribute to transforming data into actionable insights. Your role will involve collecting, cleaning, analyzing, and reporting on data from various sources, allowing you to enhance your analytical skills and make meaningful contributions to real business outcomes. Responsibilities will include assisting in data collection, cleaning, and preprocessing, performing data analysis to identify trends and patterns, creating and maintaining dashboards and reports, developing basic data models, and supporting exploratory data analysis efforts. Additionally, you will collaborate with team members to identify key performance indicators and business metrics, visualize data through graphs and charts, and maintain data quality standards. To qualify for this role, you should be pursuing or have recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Basic knowledge of data analysis tools and languages such as Excel, SQL, Python, or R is required, along with a strong analytical mindset and attention to detail. Familiarity with data visualization tools like Tableau or Power BI is a plus, as well as the ability to work independently and effectively in a remote environment. Strong communication skills and a passion for learning new analytical skills are essential, along with the ability to meet deadlines and present data insights clearly and concisely. Preferred skills that would be advantageous for this role include basic knowledge of statistical analysis and hypothesis testing, experience with data wrangling and cleaning techniques, understanding of data storage systems like relational databases, familiarity with machine learning concepts or algorithms, and proficiency in web development frameworks, databases, REST APIs, and front-end technologies. If you are eager to develop your skills in data analysis, collaborate with a talented team, and contribute to innovative solutions, we encourage you to apply for the Data Analyst Trainee position with our remote team.,