67 Data Cleaning Jobs nearby Erode

The Data Analyst will be responsible for collecting, cleaning, analyzing, and interpreting large datasets to help drive strategic business decisions. The role involves creating dashboards, reports, and insights that enable cross-functional teams to make data-driven decisions.   Collect, clean, and validate data from multiple sources (databases, APIs, Excel files, etc.). Analyze datasets to identify trends, patterns, and insights. Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel. Collaborate with business and technical teams to understand data requirements. Perform data quality checks and ensure data accuracy and consistency. Generate actionable insights and present them to stakeholders through visualizations and presentations. Support data migration, integration, and automation processes. Work closely with the Data Engineering and Business Intelligence teams to improve data pipelines and reporting systems.

Role Overview: As a Data Analyst, your main responsibility will be to collect, analyze, and present data to help organizations make informed decisions. You will play a crucial role in managing databases, troubleshooting issues, and optimizing performance. Key Responsibilities: - Gather data from various sources, including primary and secondary sources - Remove corrupted, incomplete, inaccurate, or irrelevant data during the data cleaning process - Analyze data for trends and patterns using statistical analysis, machine learning, and data visualization tools - Present data insights using charts, graphs, and other visualizations for effective data visualization - Develop and manage data systems and databases, establish Key Performance Indicators (KPIs) for data governance - Generate reports and present findings to support decision-making processes Qualifications Required: - Technical proficiency in data analysis tools - Strong analytical thinking skills - Effective communication and collaboration abilities - Critical-thinking skills (Note: The job also offers health insurance benefits. This is a full-time, permanent position with work scheduled on weekends. The ideal candidate should have at least 3 years of total work experience. The work location is in person.),

As a Data Engineer at BuildingBlocks, you will play a crucial role in owning the data pipeline that powers our LLM training and fine-tuning process. Your responsibilities will involve designing ETL pipelines for text, PDFs, and structured data, implementing data deduplication, filtering, and normalization, training and managing tokenizers, building datasets for supervised fine-tuning and evaluation, and collaborating closely with domain experts to generate instruction/response pairs. Key Responsibilities: - Design ETL pipelines for text, PDFs, and structured data. - Implement data deduplication, filtering (toxicity, PII), and normalization. - Train and manage tokenizers (SentencePiece/BPE). - Build datasets for supervised fine-tuning and evaluation. - Work closely with domain experts to generate instruction/response pairs. Qualifications Required: - Strong proficiency in Python, SQL, and data wrangling frameworks (Pandas, Spark). - Experience working with large text datasets, cleaning, and preprocessing. - Familiarity with NLP-specific preprocessing techniques such as chunking and embeddings. - Knowledge of cloud data storage platforms like S3, GCS, and Blob. - Bonus: Prior experience in AI/ML pipelines. About BuildingBlocks: At BuildingBlocks, our diverse team shares a common mission of creating beautiful experiences that have a positive impact on people's lives and the businesses we serve. Our culture is rooted in purpose, blending genuine human connection with a meticulous approach to our craft. We are a company that embraces youthfulness, fun, defiance, boldness, and drive to make a significant mark in the industry. As a Data Engineer at BuildingBlocks, you will play a crucial role in owning the data pipeline that powers our LLM training and fine-tuning process. Your responsibilities will involve designing ETL pipelines for text, PDFs, and structured data, implementing data deduplication, filtering, and normalization, training and managing tokenizers, building datasets for supervised fine-tuning and evaluation, and collaborating closely with domain experts to generate instruction/response pairs. Key Responsibilities: - Design ETL pipelines for text, PDFs, and structured data. - Implement data deduplication, filtering (toxicity, PII), and normalization. - Train and manage tokenizers (SentencePiece/BPE). - Build datasets for supervised fine-tuning and evaluation. - Work closely with domain experts to generate instruction/response pairs. Qualifications Required: - Strong proficiency in Python, SQL, and data wrangling frameworks (Pandas, Spark). - Experience working with large text datasets, cleaning, and preprocessing. - Familiarity with NLP-specific preprocessing techniques such as chunking and embeddings. - Knowledge of cloud data storage platforms like S3, GCS, and Blob. - Bonus: Prior experience in AI/ML pipelines. About BuildingBlocks: At BuildingBlocks, our diverse team shares a common mission of creating beautiful experiences that have a positive impact on people's lives and the businesses we serve. Our culture is rooted in purpose, blending genuine human connection with a meticulous approach to our craft. We are a company that embraces youthfulness, fun, defiance, boldness, and drive to make a significant mark in the industry.

Role Overview: As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing large datasets from multiple sources, both structured and unstructured. Your role will involve developing and maintaining dashboards, reports, and visualizations to support data-driven decision-making. Using SQL, Python, or R, you will perform data extraction, manipulation, and statistical analysis. Additionally, you will design and implement data workflows and pipelines using cloud services such as AWS, Azure, or GCP. Collaboration with cross-functional teams to understand business requirements and ensure data quality, integrity, and governance will be a crucial part of your responsibilities. Key Responsibilities: - Collect, clean, and analyze large datasets from multiple sources. - Develop and maintain dashboards, reports, and visualizations. - Use SQL, Python, or R for data extraction, manipulation, and statistical analysis. - Design and implement data workflows and pipelines using cloud services. - Collaborate with cross-functional teams to translate business requirements into analytical solutions. - Ensure data quality, integrity, and governance across all systems. Qualifications Required: - Bachelor's degree in a relevant field. - 4-9 years of experience in data analysis. - Proficiency in SQL, Python, or R. - Experience with cloud services such as AWS, Azure, or GCP. Note: No additional details of the company were provided in the job description.,

As a Junior Data Analyst, your role involves collecting, cleaning, and analyzing data to support business decisions. You will work under senior analysts to find trends, create reports, and build visualizations using tools like Excel or Tableau. Your key responsibilities include: - Data Collection & Cleaning: Gather data from various sources and perform cleaning and validation to ensure accuracy and integrity for analysis. - Data Analysis: Apply statistical methods to identify trends, patterns, and insights within datasets under the guidance of senior team members. - Reporting & Visualization: Create charts, graphs, and dashboards to present data findings clearly and effectively to stakeholders, using tools like Excel, Tableau, or Power BI. - Database Management: Assist in maintaining and updating data systems and databases to ensure they are organized and accessible. - Collaboration: Work with cross-functional teams, including senior analysts and data scientists, to understand data needs and deliver solutions. - Stakeholder Support: Prepare reports, summaries, and presentations to communicate data insights and support data-driven decision-making processes across the organization. In this role, you will need the following essential skills: - Technical Skills: Proficiency in data visualization tools (e.g., Tableau, Power BI), data analysis software (e.g., Excel, SQL), and statistical methods. - Analytical Skills: Ability to identify data discrepancies, interpret statistical findings, and understand complex datasets. - Communication: Strong written and verbal communication skills to explain technical data concepts to non-technical audiences. - Problem-Solving: Ability to identify data-related challenges and contribute to the formulation of solutions. - Collaboration: A team player who can work effectively with various departments and senior analysts. You will typically use the following tools in your work: - Spreadsheets: Microsoft Excel for data organization and basic analysis. - Business Intelligence Tools: Tableau, Power BI for creating interactive visualizations and dashboards. - Database Languages: SQL for data querying and manipulation. Please note that this is a full-time, permanent position with the work location being in person.,

As a Data Analyst Intern at our company, you will be responsible for collecting, cleaning, and analyzing data to identify patterns and assist in making data-driven decisions. Your role will involve: - Collecting data from various sources - Cleaning and preprocessing data to ensure accuracy - Analyzing data to discover trends and insights - Presenting findings to stakeholders in a clear and understandable manner To be successful in this role, you should have: - Strong analytical skills - Proficiency in data analysis tools such as Excel, Python, or R - Good communication skills to effectively present findings Join us in Chennai and be a part of our data-driven decision-making process!,

Role Overview: You will be responsible for collecting data from various sources like surveys, reports, digital analytics tools, and databases. Your main task will involve cleaning and organizing raw data to ensure accuracy and reliability for analysis. You will also analyze data sets using statistical methods to identify trends and patterns that are relevant to business problems. Furthermore, you will be visualizing and presenting results through graphs, dashboards, and reports, effectively communicating findings to both technical and non-technical audiences. Additionally, you will support senior analysts or managers in foundational project workflows and collaborate with different departments to meet specific data requirements. Key Responsibilities: - Collect data from multiple sources such as surveys, reports, digital analytics tools, and databases. - Clean and organize raw data to ensure integrity and reliability for analysis. - Analyze data sets using statistical methods and software tools to identify trends and patterns relevant to business problems. - Visualize and present results through graphs, dashboards, and written reports, explaining findings to technical and non-technical audiences. - Assist senior analysts or managers in foundational project workflows such as data validation, documentation, and implementation of data governance protocols. - Collaborate across departments to meet specific data requirements and support reporting needs. Qualifications Required: - Previous experience in data collection and analysis is preferred. - Proficiency in statistical methods and software tools. - Strong communication skills with the ability to explain complex findings to different audiences. - Collaborative team player with the ability to work across departments. Note: Benefits include health insurance and provident fund. The work location is in person.,

As an intern at the company, your day-to-day responsibilities will include: - Collecting, cleaning, and organizing data from multiple sources - Performing exploratory data analysis - Documenting data processes and analysis workflows The company is an IoT, AI, and ML-based technology solutions provider catering to the B2B sector. Their solutions primarily focus on safety, security, and process compliance for industries such as oil & gas, mines & minerals, dairy, and commercial logistics. The IoT platform offers value-added services and can generate analytical reports to facilitate effective decision-making. Kritilabs has a dedicated R&D division that continuously innovates and develops new, customized solutions to meet diverse requirements. The company is experiencing rapid growth at a rate of 100% year-on-year and is planning to expand into sectors like retail, food, cement, ports, and railways. They are looking to onboard individuals in areas such as production, R&D, or quality as they expand. The company has received several recognitions, including: - Rising Star in IoT by NASSCOM - Most Innovative Start-Up by FICCI - Start-Up of the Year by TiE,

As a Big Data Analyst at Socit Gnrale, your role will involve analyzing, organizing, and processing raw data using Bigdata technologies and Scala. You will be responsible for performing data validation, cleaning, and transformation using Big data technologies, Spark, and Scala. Additionally, you will be required to ingest and manage data in HDFS/Hive, analyze data using Spark, and produce meaningful insights for the business team. Your tasks will also include combining raw information from different sources, exploring ways to enhance data quality and reliability, and developing code using Software Craftmanship best practices such as Continuous delivery and Clean coding principles. Key Responsibilities: - Analyze, organize, and process raw data using Bigdata technologies and Scala - Perform data validation, cleaning, and transformation using Big data technologies, Spark, and Scala - Ingest and manage data in HDFS/Hive, analyze data using Spark, and produce meaningful insights for the business team - Combine raw information from different sources, explore ways to enhance data quality and reliability - Develop code using Software Craftmanship best practices such as Continuous delivery and Clean coding principles - Assist the business operations team with data samples to create proof of concepts - Ensure the new data sets are feeding the Business Intelligence setup i.e Dashboards on PowerBI - Liaise with BA to ensure subjects are getting prioritized, communicate to PO about progress and potential issues Qualifications Required: - 4 to 8 years of expertise and hands-on experience in Spark with Scala and Big data technologies - Good working experience in Scala and object-oriented concepts - Good working experience in HDFS, Spark, Hive, and Oozie - Technical expertise with data models, data mining, and partitioning techniques - Hands-on experience with SQL database - Understanding of CI/CD tools (Maven, Git, Jenkins) and SONAR - Knowledge of Kafka and ELK stack is a plus. Familiarity with Data visualization tools like PowerBI will be an added advantage - Strong communication and coordination skills with multiple stakeholders. Ability to assess existing situations, propose, and follow up on improvement actions - Good team spirit, ability to work in international/intercultural environments with lots of interactions with onsite stakeholders - Professional attitude: Self-motivated, fast learner, team player, independent If you choose to join Socit Gnrale, you will be part of an organization that believes in the power of individuals to drive change. The company encourages innovation, action, and a positive impact on the future. You will have the opportunity to grow in a stimulating and caring environment, contribute to initiatives that make a difference, and develop your expertise. Additionally, employees have the chance to dedicate several days per year to solidarity actions, supporting various causes and sharing skills with charities. Please note that the above details are extracted from the provided job description reference number 25000G3H.,

Role Overview: You will be responsible for collecting, cleaning, and analyzing data to identify patterns and provide support for data-driven decisions within the company. Key Responsibilities: - Collect data from various sources - Clean and preprocess data to ensure accuracy - Analyze data to identify trends and insights - Present findings to support data-driven decision making Qualifications Required: - 0-2 years of experience in data analysis - Proficiency in data cleaning and analysis tools - Strong analytical skills - Excellent communication skills Company Details: (Omit this section as no additional details of the company are mentioned in the job description),

As a Data Analyst at our company in Coimbatore, Tamil Nadu, you will play a crucial role in collecting, cleaning, and analyzing data from various sources. Your strong analytical skills and passion for working with data will enable you to generate insights that drive business decisions effectively. You will have the opportunity to collaborate with different teams to understand data requirements and support decision-making processes. Key Responsibilities: - Collect, clean, and analyze data from various sources. - Utilize Excel, SQL, and data visualization tools (e.g., Power BI, Tableau) to interpret and present data effectively. - Identify trends, patterns, and insights to support decision-making processes. - Generate reports and dashboards for management to facilitate informed decisions. - Assist in automating data-related processes and enhancing efficiency. - Collaborate closely with different teams to comprehend data requirements. Required Skills: - Basic understanding of Excel, SQL, and Power BI/Tableau. - Strong analytical and problem-solving skills to derive meaningful insights. - Effective communication and presentation skills to convey data findings. - Attention to detail and ability to handle large datasets efficiently. - Knowledge of Python or R is a plus (but not mandatory). Qualifications: - Bachelors degree in Mathematics, Statistics, Computer Science, Economics, or a related field. - Freshers or candidates with 0-1 year of experience are welcome. - Certification in data analytics is preferred but not mandatory. In addition to the above responsibilities and qualifications, our company offers the following perks and benefits: - Opportunity to learn from industry experts. - Career growth opportunities within the company. - Friendly and collaborative work environment. Please note the following details regarding the job: - Job Types: Full-time, Permanent - Benefits: Leave encashment, Provident Fund - Schedule: Day shift, Fixed shift - Performance bonus, Yearly bonus - Ability to commute/relocate: Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) - Work Location: In person,

Role Overview: As a Data Engineer at MAKO, you will be responsible for building, managing, and optimizing data pipelines and datasets to support business and analytics teams. Your expertise in MS Excel, Python, and data cleaning will be crucial in delivering reliable and high-quality data. Key Responsibilities: - Design and maintain data pipelines and workflows. - Perform data cleaning, transformation, and validation of large datasets. - Create advanced reports using MS Excel (Pivot Tables, VLOOKUP, XLOOKUP, Power Query). - Write and maintain Python scripts for data automation and processing. - Optimize data storage and retrieval processes. - Ensure data accuracy, consistency, and integrity across multiple sources. - Collaborate with business analysts and stakeholders to understand data requirements. - Support ETL and data warehousing processes. Qualification Required: - Strong experience in MS Excel (advanced formulas, Pivot Tables, Power Query). - Strong knowledge of Python (Pandas, NumPy, data manipulation). - Hands-on experience with data handling, transformation, and cleaning. - Good knowledge of SQL (writing complex queries, joins, indexing). - Experience working with large datasets and structured/unstructured data. - Familiarity with ETL tools/processes. Additional Company Details (if present): MAKO IT Lab, founded in 2013, is a global software development company with a strong presence in the USA, UK, India, and Nepal. The company focuses on creating an empowering environment where individuals can take ownership, contribute innovative ideas, and grow through continuous learning and knowledge sharing. MAKO fosters long-term careers for its employees and encourages curiosity, initiative, and meaningful contributions to the company's journey.,

As a Junior Data Scraping Specialist at our leading IT product company, you will play a crucial role in collecting, cleaning, and transforming data from various online sources. This is an exciting opportunity to kick-start your career in data engineering and web scraping. Key Responsibilities: - Assist in scraping data from websites using basic scraping tools and techniques. - Learn to work with popular web scraping libraries and tools. - Support in cleaning and organizing raw data into structured formats like CSV, JSON, or Excel files. - Help in automating data scraping tasks through simple scripts and tools under the guidance of senior team members. - Conduct research to identify potential data sources and test scraping scripts to ensure they function as expected. - Work closely with data analysts and developers to understand project requirements and assist with gathering data for reports or analysis. Qualifications: - Familiarity with HTML, CSS, and web structures. - Ability to troubleshoot basic issues related to data extraction and learn to overcome simple obstacles such as website structure changes. - Attention to detail to ensure the accuracy of the data scraped. - Eagerness to learn new skills related to web scraping and data processing. - Excellent written and verbal communication skills to assist with team collaboration. No additional details about the company were provided in the job description.,

Role Overview: You will be responsible for training and encouraging staff to maintain complete databases for subsequent analysis. Your duties will include gathering raw data from relevant individuals in each department, collating the data for interpretation, checking and cleaning the data, analyzing the data considering missing information, outliers, and other variables, reporting insights obtained to inform business strategies, consulting on areas of uncertainty to optimize data-derived ideas, and creating and updating data sets according to the evolving needs of the business. Key Responsibilities: - Train and encourage staff to maintain complete databases - Gather raw data from relevant individuals in each department - Collate data for interpretation - Check and clean data, ensuring erroneous values are replaced - Analyze data considering missing information, outliers, and other variables - Report insights obtained to inform business strategies - Consult on areas of uncertainty to optimize data-derived ideas - Create and update data sets according to the evolving needs of the business Qualifications Required: - No specific qualifications mentioned in the job description Please note that the additional details of the company are not provided in the job description.,

As a Data Engineer at Hitachi Energy Indian Operations Center (INOPC), you will have a significant role in creating a global value chain to enhance value for Hitachi Energy customers worldwide. Your main responsibilities will include: - Demonstrating technical proficiency in AI data analytics within a team comprising diverse technical skills. - Constructing and managing precise and scalable data pipelines and infrastructure (e.g., SQL Warehouse, Data Lakes) utilizing Cloud platforms like MS Azure and Databricks. - Actively collaborating with business stakeholders to comprehend data lineage, definitions, and data extraction methods. - Developing production-quality SQL and PySpark code to establish the data architecture. - Merging SQL databases from various sources, data cleaning, and manipulation to prepare for analytics and machine learning. - Employing data visualization tools such as Power BI to generate professional-grade dashboards and reports. - Creating high-quality documentation for data processing across different projects to ensure reproducibility. - Upholding Hitachi Energy's core values of safety and integrity by taking ownership of your actions and showing consideration for your colleagues and the business. Qualifications required for this role: - BE / BS in Computer Science, Data Science, or related field with a minimum of 5 years of relevant work experience. - 5 years of experience in data engineering, including comprehension of lakehouse architecture, data integration framework, ETL/ELT pipeline, orchestration/monitoring, and star schema data modeling. - 5 years of proficiency in Python/PySpark and SQL. - 2 years of expertise in Microsoft Power BI. - 3 years of experience utilizing Azure-based environment like Databricks, ADLS, and Azure Machine Learning for data engineering purposes. - Basic knowledge of Machine Learning algorithms. - Capability to quickly grasp concepts outside one's core field; a rapid learning generalist capable of independently solving problems and adept at navigating a matrixed corporate setting. - Proficiency in both spoken and written English language is mandatory. Join the Hitachi Energy's INOPC team in Chennai, Tamil Nadu, India, as a Data Engineer and become part of a vibrant environment where innovation and excellence are embraced. Apply now to embark on this thrilling journey.,

Role Overview: As a Data Analyst, your primary responsibility will be to gather, clean, and validate data from various sources such as databases, APIs, spreadsheets, and web sources. You will also be required to maintain and update data systems to ensure accuracy and integrity. Additionally, you will automate data collection and cleaning processes using Python, SQL, or R. Key Responsibilities: - Analyze data trends, patterns, and correlations to derive actionable insights. - Build and maintain reports and dashboards to monitor key performance indicators (KPIs). - Use statistical methods to identify areas for improvement and support strategic initiatives. - Provide ad hoc analyses and data-driven recommendations to management teams. Qualifications Required: - Proficiency in Python, SQL, or R for automating data processes. - Experience in creating interactive dashboards and visualizations using tools like Power BI, Tableau, or Excel. - Strong communication skills to present clear and concise analytical reports to technical and non-technical audiences. - Ability to collaborate effectively with cross-functional teams in defining analytical needs and translating business problems into data questions. Additional Details: The company offers health insurance as a benefit for this full-time position. The work location is in person, requiring you to collaborate closely with business, marketing, finance, operations, and IT teams to support data-driven projects and initiatives.,

As a potential candidate for the position at ZoomInfo, you will play a crucial role in enhancing and optimizing workflows for the Data Research team through automation and AI integrations. You will be instrumental in improving data quality and research outcomes by implementing innovative solutions and collaborating with internal teams. Your key responsibilities will include: - **Advanced Workflow Optimization:** Leading the implementation of enhanced workflows to optimize research operations and eliminate bottlenecks. - **Tool Customization & Development:** Collaborating with internal teams to customize and improve research tools, systems, and platforms. - **Data Analysis & Insight Generation:** Conducting in-depth data analysis to generate actionable insights and support data-driven decision-making. - **Automation & AI Integration:** Working with engineering and IT teams to incorporate automation, AI, and machine learning solutions into research processes. - **Mentorship & Training:** Providing guidance and mentorship to junior team members, sharing best practices, tools, and problem-solving approaches. - **Cross-Functional Collaboration:** Acting as a key point of contact between the Research Enablement team and other departments, fostering collaboration and communication. To qualify for this role, you will need: - 4-6 years of experience in a research support, enablement, or data analysis role - Excellent experience in Data workflow automation - Proficiency in Python, SQL, and scripting languages - Familiarity with data visualization tools like PowerBI and Tableau - Knowledge of data cleaning techniques - Strong critical thinking and problem-solving skills - Ability to interpret complex data sets Please note that this position will require you to work from 1 pm to 10 pm IST, with an hour shift during daylight savings time to align with the US Research teams. If you believe you have the qualifications and drive to excel in this role at ZoomInfo, we encourage you to apply and be a part of our innovative team.,

As an intern at Sadhvi Academy, your day-to-day responsibilities will include: - Collecting, cleaning, and organizing data from various sources. - Creating dashboards and reports using Power BI, Excel, or Tableau. - Analyzing datasets to identify trends and insights for decision-making. - Preparing visualizations and presentations of data findings. - Assisting the team in developing data-driven solutions and reports. Sadhvi Academy is a professional training and career development institute based in Coimbatore, Tamil Nadu. Specializing in Data Analytics, Business Analytics, Python, SQL, Excel, Power BI, and Tableau, the company's mission is to bridge the gap between academic learning and industry requirements by offering practical, project-based training and internships. With a focus on hands-on learning, personalized mentoring, and real-time projects, Sadhvi Academy prepares students and fresh graduates to build strong analytical skills and become job-ready for careers in Data Analytics and Business Intelligence. Additionally, the company also provides career support through resume building, mock interviews, and placement assistance.,

As a Data Analytics professional in Technical Project Management at ZF Group in India, your role involves creating, deploying, and operating Data Analyst Solutions within the Advanced Braking Systems Teams for Commercial Vehicles in Chennai. You will be pivotal in developing data-driven services to enhance technical project management processes, collaborating with cross-functional agile product teams, and utilizing various data tools for analysis and visualization. Key Responsibilities: - Create, deploy, and operate Data Analyst Solutions to support technical Project Management - Develop data-driven services to improve Planning, Coordination, and reporting of technical projects - Act as a key contact person for data-related issues and optimization of technical Project management processes - Utilize Databank information for reports and visualization - Stay updated on new developments in the field, connect with the data science community, and collaborate with external technology providers and universities - Utilize Python and relevant libraries for automation and data analysis - Utilize Visualization Tools such as Power BI, Power App, Power Automate, and Tableau for Interactive Dashboard creation - Handle various data tools such as Power Query, DAX Query, and automate reports using python scripts - Utilize JIRA software tool with SCRUM framework, AGILE framework, and Share point concept - Bring actionable insights from raw data to Dashboard and maintain existing dashboards and data science solutions Qualifications Required: - Professional experience in statistics and data analysis - Strong data engineering and Visualization skills - Experience with big data analyses and databases - Very strong knowledge of Python and relevant libraries - Proficiency in data analyzing, cleaning, and preprocessing - Expertise in Visualization Tools such as Power BI, Power App, Power Automate, and Tableau - Familiarity with handling various data tools and automation of reports - Good understanding of JIRA software tool, SCRUM framework, AGILE framework, and Share point concept - Hands-on Experience in Data Mining and Feature Engineering,

As a Senior Clinical Data Manager I at Allucent, you will play a crucial role in leading data management activities within the Allucent Data Management (DM) department. Your responsibilities will include managing, coordinating, reviewing, and approving DM deliverables from database design & set-up to database locking. It is essential to ensure the completeness, accuracy, and consistency of clinical data meeting quality standards and regulatory requirements. Additionally, you will provide expertise in data management areas, contribute to cross-functional initiatives, and participate in Request for Proposals (RFPs) and Business Development (BD) Meetings. Your key tasks will involve: - Leading and acting as the primary contact for DM with relevant internal and external parties - Planning and projecting required resources, managing tasks, timelines, risks, and quality - Developing, reviewing, and maintaining project-specific DM documents - Leading the development of clinical study database set-up, eCRF design, and database validation requirements - Creating training materials for EDC users and delivering project-specific training - Overseeing data cleaning strategy, data releases, data transfers, and reconciliation activities - Providing project metric reports, status updates, study progress, and feedback - Maintaining DM study documentation, supporting audits, and aligning data management best practices - Participating in client evaluations, preparing proposals, and staying updated on regulatory trends Qualifications required: - Life science, healthcare degree, and/or a combination of education and experience - Minimum 5 years of relevant work experience as a Clinical Data Manager - Thorough knowledge of ICH-GCP, 21CFR11 data privacy guidelines, and local/regional requirements - Experience with EDC software systems, IRT, eCOA, and CDISC conventions - Strong written and verbal communication, organizational, negotiating, and motivational skills - Ability to work in a fast-paced environment and proficiency with computer applications Joining Allucent offers the following benefits: - Comprehensive benefits package - Competitive salaries - Departmental Study/Training Budget for professional development - Flexible working hours and remote/office-based working opportunities - Leadership and mentoring opportunities - Internal growth opportunities, employee referral program, and access to online training platforms (Note: This position is for the Chennai Location and not home-based),