300 Data Cleansing Jobs - Page 7

We are seeking a highly skilled BI Analytics Specialist to join our dynamic team. The ideal candidate will have a strong background in data analytics, and dashboard development, particularly with Power BI. This role involves designing, implementing, and maintaining data warehouse solutions, as well as creating insightful and interactive dashboards for our products. Roles and Responsibilities : Design and develop data warehouse architecture. Implement ETL processes to integrate data from various sources. Optimize and maintain data warehouse performance. Ensure data integrity, accuracy, and security. Analyze large datasets to identify trends, patterns, and insights. Develop and implement data models to support analytical needs. Perform data profiling, data cleansing, and data validation. Create interactive and visually appealing dashboards using Power BI. Collaborate with stakeholders to understand reporting requirements. Design and develop data visualizations that provide actionable insights. Maintain and update existing dashboards to ensure they meet user needs. Collaboration and Communication: Work closely with cross-functional teams to gather requirements and deliver solutions. Provide training and support to end-users on data tools and dashboards. Communicate findings and insights to non-technical stakeholders effectively Desired Candidate Profile : Experience in Designing Power BI Reports - 8 + years Experience in ETL Tools Experience in Scripting to fetch data from Datawarehouse Experience in creating Data Alerts and Incremental Data

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview: We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities • Analyze time-series and sensor data from various sources • Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. • Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. • Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). • Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. • Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills • Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. • 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. • Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). • Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). • Proficiency in Python or R for data manipulation and exploratory analysis. • Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). • Solid grasp of statistical analysis and anomaly detection methods. • Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills • Domain experience in airports, smart infrastructure, transportation, or logistics. • Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). • Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. • Basic understanding of AI/ML workflows and data preparation requirements.

Skills: 3-8 of experience with Python for data analysis and modeling. Strong understanding of machine learning fundamentals , including supervised and unsupervised techniques. Hands-on experience with ML libraries such as scikit-learn , pandas , and NumPy . Comfortable working with real-world datasets, data cleaning, and preprocessing. Curious, analytical mindset with a passion for solving research and data challenges. Ability to break down problems, explore data patterns, and assist in delivering model-driven solutions. Exposure to working with unstructured or semi-structured data (text, PDFs, etc.) is a plus. Exposure to cloud platforms (AWS, GCP, Azure). Familiarity or experience with GenAI tools such as LangChain , LangGraph , or CrewAI . Understanding or hands-on experience with LLM-based projects .

About Us: LdotR is an online brand protection service company, offering businesses the right solution and services to protect, manage and benefit from their digital assets in the online space. We work across all digital platforms - Domains, Website, Social Media, Online Marketplaces, and App Stores to identify, assess and nullify brand infringements. About the Role: We are looking for an experienced Data Scraping Specialist to help us extract and structure data from leading social media platforms at scale. The ideal candidate will have hands-on expertise with scraping tools, APIs, and large-scale data processing. Key Responsibilities: Design and develop custom scraping solutions to extract public data from platforms like Instagram, Facebook, X (Twitter), LinkedIn, YouTube, etc. Handle large-scale scraping tasks with efficiency and resilience against rate-limiting and platform-specific restrictions. Clean, normalize, and structure the scraped data for analysis or downstream applications. Maintain scraping scripts to adapt to frequent platform changes. Ensure compliance with data protection policies and terms of service. Required Skills: Proficiency in Python and scraping libraries (e.g., Scrapy, BeautifulSoup, Selenium, Playwright). Experience with API integration (official or unofficial social media APIs). Familiarity with rotating proxies, headless browsers, and CAPTCHA-solving techniques. Strong understanding of data structuring formats like JSON, CSV, and databases (MongoDB, PostgreSQL, etc.). Experience with cloud-based scraping and storage solutions (AWS/GCP preferred). Good to Have: Knowledge of NLP or data analytics for social media sentiment or trend analysis. Understanding of GDPR and CCPA compliance. Prior work with third-party scraping platforms or browser automation tools. What We Offer: Opportunity to work on impactful, large-scale data projects. Flexible work arrangements. Competitive compensation based on experience and delivery.

We are looking forward to hire Python Professionals in the following areas : : This Position will be Right to Hire! Experience 3 to 6 years Degree in computer science, engineering, or similar fields Skill Set: AWS, Python, PySpark Primary Responsibilities Responsible for designing, developing, testing and supporting data pipelines and applications Industrialize data feeds Experience in working with cloud environments AWS Creates data pipelines into existing systems Experience with enforcing security controls and best practices to protect sensitive data within AWS data pipelines, including encryption, access controls, and auditing mechanisms. Improves data cleansing and facilitates connectivity of data and applied technologies between both external and internal data sources. Establishes a continuous quality improvement process and to systematically optimizes data quality Translates data requirements from data users to ingestion activities B.Tech/ B.Sc./M.Sc. in Computer Science or related field and 3+ years of relevant industry experience Interest in solving challenging technical problems Nice to have test driven development and CI/CD workflows Knowledge of version control software such as Git and experience in working with major hosting services (e. g. Azure DevOps, Github, Bitbucket, Gitlab) Nice to have in working with cloud environments such as AWSe especially creating serverless architectures and using infrastructure as code facilities such as CloudFormation/CDK, Terraform, ARM. Hands-on experience in working with various frontend and backend languages (e.g., Python, R, Java, Scala, C/C++, Rust, Typescript, ...) Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

1)Strong proficiency in Python or MATLAB for data analysis and visualization. 2) Experience with time-series analysis, signal processing, and statistical modeling (Autocorrelation, Moving Averages, Seasonal Decomposition) to identify trends and patterns. 3) Knowledge of MEMS sensor technologies and data acquisition systems. 4) Hands-on experience with pandas, NumPy, SciPy, scikit-learn, matplotlib for data cleansing and analysis. 5) Ability to generate automated KPI reports and build dashboards using Power BI or Tableau Preferred Qualifications: 1) Experience in smartphone, hearable, or wearable sensors 2) Knowledge of MEMS sensor data wrangling techniques. 3) Knowledge in handling data over cloud platforms (AWS, Azure, GCP) is an added advantage. 4) Familiarity in real-time data streaming processing toolboxes is an added advantage. COB Immediate Mat Lab, Data Analyics, Python, Pandas, Numpy

Role & Responsibilities: Data Collection & Cleaning : Collect and clean data from various internal and external sources to ensure accuracy and consistency. Data Analysis : Analyze complex datasets to identify trends, patterns, and insights that inform business decisions. Collaboration : Work closely with cross-functional teams to understand business needs and provide relevant data insights. Data Interpretation : Provide actionable recommendations based on data analysis to guide business strategy and decision-making. Data Management : Maintain and update databases, ensuring data integrity and accessibility. Automation & Optimization : Develop automated systems for data processing and reporting to increase efficiency. Required Skills & Qualifications: Data Analysis & Statistical Techniques : Strong analytical skills with experience in data analysis, statistical methods, and modeling. Programming Languages : Experience with SQL for database querying. Data Management : Strong understanding of data cleaning, transformation, and database management practices. Reporting & Documentation : Ability to write clear reports and document processes, methods, and findings. Communication Skills : Strong written and verbal communication skills to present data findings to both technical and non-technical stakeholders. Problem-Solving : Excellent problem-solving skills and the ability to think critically when analyzing data.

Summary Business Data Migration expert for Manufacturing on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Material master, BOM s, Routings, Equipment and Task lists. Acts as the functional SPoC for data migration on the assigned objects for a given release. About the Role Key Responsibilities: Perform or ensure data cleansing tasks are completed on time Complete data collection for manual/construction objects on time Work together with IT counterparts to prepare value mappings Create and maintain master lists if applicable for assigned objects Provide business insights and information to technical teams for extraction and conversion from the legacy system(s) for assigned data objects Work together with IT team and country Business Data Owners to identify objects in scope for country Ensure data readiness & verify quality throughout data journey for assigned data objects Verify that data is fit for purpose (incl. alignment with internal/external stakeholders) Approve upload files before and after load for all assigned data objects (including formal approval) Perform manual (type-in) data loads into target clients where applicable for assigned objects Perform dual maintenance Execution and approval of data verification scripts Act as SPoC for assigned objects as part of defect management process during Hypercare : We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Essential Requirements: Data Cleansing completion for relevant data objects on project(s) within the region based on given data migration schedule Data Loads completion for relevant data objects on project(s) within the region based on given data migration schedule All major issues related to data quality for relevant data objects resolved based on given project(s) schedule Education & Qualifications Bachelor or Master degree preferred Languages Fluent English (additional languages preferred) Experiences 5+ years in country & global roles (ERP project implementation experience preferred) Desirable Requirements: Good communication and negotiation skills, good stakeholder management Strategic and hands on way of working (running meetings, tracking progress, managing issues) Strong Excel Skills Technical/Functional Skills & Knowledge Strong knowledge about the business processes in the area of Manufacturing: Production planning, Supply chain, Plant maintenance Data Migration experience preferred Why Novartis: Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore/Hyderabad Below are the roles and associated skills we are looking for: Azure Data Engineer Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Proficient in SQL for ETL Experience in the use of tools for ETL Scheduling / Automation and Power BI. Proficient in Data standardization and cleanup, ensure data integrity and diagnostic Strong in Database schema design and normalization Knowledge of cloud-based systems (Azure) for data warehouse building Intermediate knowledge of Python for data cleanup and transformation Knowledge of data documentation and exception/error handling and remediation Ability to build / test / deploy APIs to ingest data from internal and external databases Proficient in JSON, XML and text formats to ingest, parse, transform and load databases Preferred minimum 7+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Responsible for worldwide data quality in our operations management system Create, manage, support reports & dashboards as per user requests Identify, reconcile, & correct data discrepancies impacting global reporting Support offices that use our reporting tools Responsible for security products supply chain management globally Ensure security products are correctly used & tracked by commercial offices Monitor stocks & ensure production supply (batches) in partnership with supplier Control & validate suppliers invoicing

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead data governance initiatives within the organization- Develop and implement data governance policies and procedures- Ensure compliance with data governance regulations and standards Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance- Strong understanding of data governance principles- Experience in implementing data governance frameworks- Knowledge of data quality management practices- Familiarity with data privacy and security regulations Additional Information:- The candidate should have a minimum of 5 years of experience in Collibra Data Governance.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly to support business operations. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking ways to improve processes and deliver high-quality solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure adherence to best practices and standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data profiling and cleansing techniques.- Experience with data integration and transformation processes.- Familiarity with ETL processes and data warehousing concepts.- Ability to troubleshoot and resolve data quality issues efficiently. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Data Quality Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support data initiatives.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Data Quality.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality assessment and improvement methodologies.- Familiarity with data governance principles and best practices.- Ability to work with large datasets and perform data cleansing. Additional Information:- The candidate should have minimum 3 years of experience in Informatica Data Quality.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama. Responsible for design and implement data matching and deduplication strategies using Ataccama Data Matching Responsible for developing and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience Experience in the optimization of Ataccama data management solutions. Develop and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center. Design and implement data matching and deduplication strategies using Ataccama Data Matching Preferred technical and professional experience Utilize Ataccama Data Catalog for metadata management, data lineage tracking, and data discovery.. Provide expertise in integrating Ataccama with other data management tools and platforms within the organization's ecosystem. Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama

Career Category Information Systems Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Sr. Data Engineer - Veeva Integration Lead What you will do Let s do this. Let s change the world. In this vital role you will be responsible for developing and maintaining the overall data architecture and integration of Amgen s Veeva Vault Platform. This role involves defining the data integrations vision, creating roadmaps, and ensuring that IT strategies align with business goals. The role will be working closely with collaborators to understand requirements, develop data integration blueprints, and ensure that solutions are scalable, secure, and aligned with enterprise standards. The role will be involved in defining the Veeva Vault Platform data integration, guiding technology decisions, and ensuring that all implementations adhere to established architectural principles, Veeva s and the Industry s standard methodologies. Collaborate with broader collaborator community with their data needs, including data quality, data access controls, compliance with privacy and security regulations. Works with Enterprise MDM and Reference Data to implement standards and data reusability. Contribute and support consistency to data governance principles. Maintain documentation on data definitions, data flows, common data models, data harmonization etc. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Build strong relationships with key business leads and partners to ensure their needs are met. Be a key team member that assists in design and development of the data pipeline for Veeva Vault platform Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Identify and resolve complex data-related challenges Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Work with data engineers on data quality assessment, data cleansing and data analytics Share and discuss findings with team members practicing SAFe Agile delivery model Automate and Optimize data pipeline and framework for easier and cost-effective development process. Advice and support project teams (project managers, architects, business analysts, and developers) on cloud platforms (AWS, Databricks preferred), tools, technology, and methodology related to the design, build scalable, efficient and maintain Data Lake and other Big Data solutions Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies. Stay up to date with the latest data technologies and trends. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelor s degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field Must-Have Skills: Solid understanding of architecting Veeva Vault Platforms/Products Strong knowledge of Data Lake technologies like Databricks, and etc. Experience in Mulesoft, Python script and REST API script development Extensive knowledge of enterprise architecture frameworks, technologies and methodologies Experience with system integration and IT infrastructure Experience with data, change, and technology governance processes on the platform level Experience working in agile methodology, including Product Teams and Product Development models Proficiency in designing scalable, secure, and cost-effective solutions. Have collaborator and team management skills Have the ability to lead and guide multiple teams to meet business needs and goals Good-to-Have Skills: Good Knowledge of Global Pharmaceutical Industry Understanding of GxP process Strong solution design and problem-solving skills Solid understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Working late hours Professional Certifications: Veeva Vault Platform Administrator (mandatory) SAFe - DevOps Practitioner (preferred) SAFe for teams (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

Key Accountabilities Execute data extraction processes from various sources including ERP systems, Middleware, banking portals, and historic invoices. Perform thorough data cleansing activities, including removing duplicate records, standardizing data formats, and correcting errors across all extracted datasets. Conduct comprehensive data validation procedures using a variety of online and in-house tools to ensure data accuracy and compliance with established standards. Carry out detailed data comparisons between existing data and newly gathered information, highlighting discrepancies for further investigation. Develop and maintain detailed documentation of data gathering and cleansing processes. Assist in creating and maintaining a centralized repository of supporting evidence for data changes in SharePoint and Excel. Advanced Excel skills, including expertise in VLOOKUPs, formulas, and data manipulation techniques. Collaborate with local finance teams to gather and verify data from various sources, including banking portals and offline databases. Support data migration and integration projects, ensuring data consistency across systems. Participate in the implementation of automated data cleansing processes. Assist in data loading processes into middleware systems across different environments. Essential: ( Knowledge, Experience & Skills) Bachelor's degree Strong experience with data analysis, data quality management tools, and data cleansing techniques Basic understanding of SQL and database management systems Familiarity with MDM concepts and best practices Experience with data extraction and transformation techniques. Strong attention to detail and analytical skills Strong communication skills working with people from different cultural backgrounds.

MKS Vision Pvt Ltd About us: MKS Vision is a full spectrum of Information Technology and engineering service provider. We exist to provide increased efficiencies and flexibility that accelerate business performance by adapting the latest cutting-edge technologies for our customers. Our services bring tangible benefits to our customers. MKS Vision will assist you in adopting global services. Website: https://www.mksvision.com/ Job Location: Coimbatore/Hyderabad Below are the roles and associated skills we are looking for: Azure Data Engineer Knowledge of lending data systems and data structures (credit applications, loan origination, collections, payments, dialers, credit bureau data) Proficient in SQL for ETL Experience in the use of tools for ETL Scheduling / Automation and Power BI. Proficient in Data standardization and cleanup, ensure data integrity and diagnostic Strong in Database schema design and normalization Knowledge of cloud-based systems (Azure) for data warehouse building Intermediate knowledge of Python for data cleanup and transformation Knowledge of data documentation and exception/error handling and remediation Ability to build / test / deploy APIs to ingest data from internal and external databases Proficient in JSON, XML and text formats to ingest, parse, transform and load databases Preferred minimum 7+ years of experience, BS degree on computer science, management information systems, statistics, data science, etc., or similar experience.

Salesforce Marketing Cloud with Salesforce Cloud Data (CDP) experience is mandatory Work with data integration technologies to design and implement new solutions and processes for clients to support new customer experience strategies Identify data points required to enable use cases Analyze data for usability in CDP Identify data cleansing requirements Map data sources to CDP data objects (which requires detailed knowledge of the CDP data model) Map data fields to CDP data fields Identify the need to custom CDP objects Determine the relationship between CDP data objects Identify the appropriate primary and secondary keys for each object Determine the specific unification algorithms required for the data of a given client Design test data to test the data model and unification algorithms Execute complex system tests Create web pages and tests on Salesforce Interaction Studios utilizing your knowledge expertise of CSS/HTML/JavaScript. Collaborate with cross functional teams in creating full landing page templates. Monitor and maintain existing interaction studio templates and campaigns. Set timelines of deliverables and expectations with all parties involved in a timely manner. Make content updates in website which are requested via email/ ticketing system Troubleshoot code and conduct QA review for all Salesforce Interaction Studio campaigns and templates. Strong problem solving and troubleshooting skills with the ability to make good judgment Qualifications: 5+ years of hands-on experience with marketing data in MarTech and/or Marketing Data Analytics space. Minimum 1-year implementation experience for one or more Customer Data Platforms Minimum 2-year hands on SQL experience Bachelor s degree or equivalent 2+ years of experience with data management, data transformation, ETL, preferably using cloud-based tools/infrastructure Experience managing large-scale full-life cycle implementation of personalization solution Strong aptitude toward communicating complex business and technical concepts using visualization and modeling aids. Ability to conceptualize and design sophisticated wireframes, workflows, and diagrams Relevant Salesforce experience in Sales Service Cloud as well as Marketing Cloud, related certifications is a plus (Marketing Cloud Consultant, Administrator, Advanced Administrator, Service Cloud Consultant, Sales Cloud Consultant, etc.) Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

Linehaul is part of the middle mile network that connects first Mile and Last mile through various mode of transport. Linehaul planning team ensures smooth day-to-day operations through effective planning while managing costs effectively. Intracity team specifically focuses on planning intracity trips for both short-term and long-term demand. What makes our work particularly challenging and exciting is the massive scale of vehicle operations, which drives the continuous push for automation solutions. The team is deeply motivated by the complex challenge of balancing network performance with cost efficiency, leading us to constantly innovate and simplify our processes. Youll be joining a collaborative environment where we tackle complex logistics challenges while working closely with various operational teams and stakeholders. Individual will be driving initiatives to manage cost while ensuring performance for the intracity trucking network. Ensure weekly planning of trucks for intracity network to maintain cost and performance Support automation initiatives to manage large-scale vehicle fleet operations Improve cost metrics through increasing planning accuracy while ensuring network performance Collaborate with cross-functional teams to implement planning solutions - 2+ years of program or project management experience - Bachelors degree or equivalent - Knowledge of Excel at an intermediate level (e.g., pivot tables charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) - Knowledge of Lean principles and DMAIC methodology - Experience in requirement gathering and ability to write clear and detailed requirement document - Bachelors degree in supply chain, business, engineering, finance or related technical or quantitative field

We are looking for a detail-oriented and analytical Data Analyst with over 5 years of experience, preferably from a logistics, market research , or Bloomberg-related background . The ideal candidate will have a strong command of Excel and experience in data preparation, transformation, cleaning , and building actionable insights from large datasets. Key Responsibilities: Analyze large volumes of data to derive actionable insights for business improvement Work extensively in Excel including VLOOKUP, Pivot Tables, Advanced Formulas, and Dashboarding Prepare, clean, and transform data for reporting and decision-making purposes Collaborate with stakeholders to understand business requirements and present findings effectively Interpret data trends and patterns and translate them into clear, impactful recommendations Support ongoing and ad-hoc reporting and analysis needs Stay updated on industry trends and best practices in analytics and reporting Must-Have Skills: Expert-level Microsoft Excel skills (pivot tables, advanced formulas, data visualization, etc.) Proficient in data cleaning, preparation, and transformation techniques Hands-on experience with SQL (basic level minimum) Strong analytical skills with the ability to work independently on complex datasets Excellent communication skills for effective stakeholder interaction A learning mindset with the ability to adapt to new tools and techniques quickly Preferred Background: Experience in logistics, market research , or working with platforms like Bloomberg Exposure to analyzing large datasets and delivering actionable business insights

IT Data Strategy and Solutions Leader Location: Bangalore, KA, IN, 560 029 Req ID: 14143 Current employees: Job Title IT Data Strategy and Solutions Leader Location Bangalore About Us Job & Division Summary: Ingersoll Rand is seeking a highly experienced and motivated IT professional to join our Global BI & Analytics team as an IT Data strategy and Solutions leader. This role will report directly to the Sr. Manager, Data Products and Strategy and will play a pivotal hands-on role in enhancing Ingersoll Rand data analytics integration with the rest of our Information systems landscape, fostering innovation across the organization and helping the company to prepare for enhanced Ai/data-driven capabilities. Responsibilities Leadership and Collaboration: Lead and collaborate with various IT Centers of Excellence (COEs) teams to foster innovation and synergies with the IR analytics team and their platforms and solutions capabilities. System and Architecture Expertise: Discrete Manufacturing SAP experience including experience in Master data, transactional data, finance, supply chain or engineering analysis, data conversions to drive architectural synergies and solutions recommendations. Big Data Technologies: Demonstrate a relentless commitment to learning, implementing and eventually training other teams on novel big data solutions available within Ingersoll Rand. Hands-On Approach: Exhibit a hands-on approach to learning through experience, creating a track record of solutions via individual contributions and collaboration with other COEs. Change Management Champion: Continue to grow as a change management champion, working with different teams on big data and analytics enablement and training. Integrated IT Function: Push the agenda of a more integrated IT function, promoting data literacy and architectural excellence that incorporates both data and information systems solutions. Innovation and Synergies: Identify and capitalize on opportunities for system/analytics architecture and solutions synergies, starting with the SAP space and expanding to other information systems within Ingersoll Rands operating system. Key Requirements Education: A four-year Engineering degree, with MBA preferred. Experience: Discrete Manufacturing experience; Experience in Master data, transactional data, sales, finance, supply chain or engineering analysis, and data conversions. SAP Functional expertise with at least two or more modules experiences in sales, procurement, planning, production, finance, supply chain or engineering.. Data Experience: Extensive experience in handling master and transactional data, having hands-on experience in data extraction, data mapping, data cleansing, data deduplication, data loading and data verification of multiple data objects with at least 3 successful end-to-end implementations. Technical Skills: Strong understanding of information systems, data processes, and programming languages like SAP ABAP, SQL, principles of data engineering, etc. Exposure or willingness to quickly learn big data technologies and solutions like Snowflake. Hands-on integration and ETL tools experience is preferred. Leadership: Demonstrated leadership drive and ambition with a focus on collaboration and fostering innovation across teams. Change Management: Experience in change management, with a focus on big data and analytics enablement and training. Mindset: A growth mindset with a hands-on approach to learning and problem-solving. Communication: Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. What we Offer We are all owners of the company! Stock options( Employee Ownership Program) that align your interests with the companys success. Yearly performance-based bonus, rewarding your hard work and dedication. Leave Encashments Maternity/Paternity Leaves Employee Health covered under Medical, Group Term Life & Accident Insurance Employee Assistance Program Employee development with LinkedIn Learning Employee recognition via Awardco Collaborative, multicultural work environment with a team of dedicated professionals, fostering innovation and teamwork.

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Veeva Vault Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Offshore Migration Lead, you will oversee and coordinate offshore migration execution into the Veeva Vault platform. You will lead a team of migration specialists and analysts and BA, apply hands-on expertise in Vault migrations, SQL, and RDBMS, and collaborate with onshore counterparts to execute plans, manage timelines, resolve issues, and ensure compliance with quality standards. Roles & Responsibilities:-Lead and mentor a team of offshore migration specialists handling execution of document and metadata migration tasks.-Review deliverables and ensure adherence to migration standards, best practices, and compliance expectations.-Manage work allocation, backlog tracking, and progress reporting for offshore migration tasks.-Monitor the completion of daily/weekly migration targets, ensuring on-time and accurate delivery.-Perform root cause analysis on migration errors and coordinate with technical teams to resolve Vault Loader or API issues.-Validate output quality through spot checks, sampling, and test case validations.-Provide hands-on support when needed for migration jobs, SQL-driven data transformation, and validation checks.-Troubleshoot migration errors using Vault logs and work with developers or Vault SMEs to resolve blockers.-Act as the primary offshore contact for the onshore Migration Lead or Project Manager.-Ensure the offshore team follows controlled migration procedures and documentation protocols.-Maintain audit trails, job trackers, and version-controlled artifacts. Professional & Technical Skills: Must To Have Skills: Hands-on experience with Vault Loader and Vault REST APIs for document and object migration.-Strong command of SQL for data extraction, transformation, and validation.-Experience working with CSVs, XML, JSON payloads, and migration packaging.-Strong leadership and coordination skills in an offshore delivery model.-Excellent communication skills for daily sync-ups, reporting, and issue escalations.-Attention to detail, quality orientation, and ability to manage workload under deadlines.-Familiarity with regulatory requirements in GxP, 21 CFR Part 11 contexts.-Familiarity with Vault metadata models, document types, lifecycles, and object structures.-Experience with PromoMats / MedComms / Quality Suite / RIMS / Clinical and other Vault domains.-Proficiency in working with RDBMS like Oracle, SQL Server, PostgreSQL, or MySQL.-Experience in writing complex joins, subqueries, case statements, and data cleansing scripts.-Familiarity with legacy content/document systems such as Documentum, SharePoint, Calyx Insight, OpenText.-The candidate should have experience leading offshore migration teams for Veeva Vault projects.-Prior experience in regulated environments (GxP, 21 CFR Part 11) is required.-A minimum of 3-5 years of experience in Vault migrations is expected. Additional Information:-The candidate should have a minimum of 3 years of experience in Computer System Validation (CSV).-This position is PAN-INDIA based.-A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Data Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Research, gather, and synthesize information to drive business decisions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead process improvement initiatives to enhance efficiency.- Conduct data analysis to identify trends and insights.- Develop business requirements and functional specifications.- Collaborate with stakeholders to ensure project success. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education