959 Data Cleansing Jobs - Page 30

About the role As a Marketing Data Specialist , you will work alongside the Marketing Data Lead in managing and optimizing lead and contact creation and management processes with a focus on data quality, enrichment, standardization, and supporting ongoing data-related initiatives. What you’ll do Assist with data enrichment, acquisition, standardization, and segmentation efforts Aid in the management of lead and contact creation and routing workflows, ensuring data flows smoothly to and from CRM (Salesforce) and other systems using tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Ensure lead creation and conversion processes across Sales and Marketing are optimized and adhere to internal and external data health and compliance requirements Support Marketing Data Lead in implementing data governance policies and practices Oversee intake, perform related actions, and ensure positive outcomes of lead generation program s with goal to automate process where appropriate Collaborate with marketing , sales , and customer success teams to support data-driven initiatives and reporting What you’ll bring 5 + years of experience in data management, marketing operations, sales operations , or customer success operations Familiarity with CRM systems (e.g., Salesforce) and data management tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Has a high level of autonomy in day-to-day operations Strong attention to detail with an understanding of global data governance principles and best practices Ability to work independently and collaboratively with a global team Analytical mindset adept at problem finding and problem solving Able to work flexible hours as required by business priorities Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Job Description Summary The Sr Director - Data Architecture will manage a team of Data Architects and partner with Product Managers to define the data architecture and strategy of the GE HealthCare One Data Platform, and identify product advancement & enhancement opportunities for critical enterprise use cases. Job Description Roles and Responsibilities The Sr Director - Data Architecture is a critical leadership role responsible for shaping and executing the organization s enterprise data architecture strategy. This individual will lead a team of data architects, driving the evolution of our enterprise data landscape and support business objectives and enabling data-driven decision-making. The ideal candidate should possess a deep understanding of data architecture principles, domain-driven design, and emerging technologies, coupled with exceptional leadership and communication skills. (S)He will be a champion for data quality, governance, and security, and a key influencer in shaping the future of the enterprise data strategy at GE HealthCare. Strategic Data Architecture Leadership: Establish the overall vision for the team, d efine and champion the overall data architecture strategy, aligning it directly with business objectives and growth plans. Develop and maintain a multi-year data architecture roadmap, incorporating emerging technologies and industry best practices. Lead the evolution of the organization s data landscape, ensuring scalability, reliability, security, and performance. Drive the transition towards a data mesh architecture, defining principles, patterns, and governance frameworks to enable decentralized data ownership and domain autonomy. Data Architecture Design & Standards: Define and evangelize standard data patterns, reference architectures, and architectural guidelines for various data domains (viz., Finance, Supply Chain, Services, Manufacturing, Enterprise Operations, etc.). Ensure architectural designs are aligned with domain-driven design (DDD) principles, promoting data ownership and accountability within business domains. Oversee the design and implementation of data models, data pipelines, and data integration solutions. Evaluate and recommend data technologies and platforms (e.g., data warehouses, data lakes, streaming platforms, graph databases, cloud services). Data Mesh Implementation: Define and enforce data architecture standards related to data privacy, access control, data lifecycle management, and operational models for a data mesh architecture. Guide domain teams in adopting data mesh principles and building data products. Establish clear ownership and accountability for data assets within each domain. Develop and enforce data contracts and APIs to ensure interoperability between data products. Team Leadership & Development: Attract, recruit, and retain top data architecture talent, building a high-performing team. Mentor and develop data architects, fostering a culture of innovation, collaboration, and continuous learning. Lead a large team of data architects, providing technical guidance and oversight to the team. Conduct performance reviews and provide constructive feedback. Collaboration & Communication: Partner closely with business stakeholders, data scientists, data engineers, and other technology leaders to understand data needs and translate them into architectural solutions. Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences. Influence and advocate for data architecture best practices across the organization. Collaborate with the Data Governance team to ensure data quality, compliance, and security. Stay abreast of emerging data technologies and trends (e.g., AI/ML, blockchain, data fabrics) and evaluate their potential impact on the organization. Education Qualification: Bachelors Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 15+ years of relevant experience. Desired Characteristics: Passionate about driving change and influence across enterprise Demonstrated ability to lead in a highly matrixed environment Ability to work with cross-functional teams to drive operationalization of analytic products and help teams to transform processes through analytics Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company Ability to acquire any specialized domain knowledge required to be more effective in all required activities Willingness to learn and develop critical data science skills (e.g. statistical analyses, advanced data visualization, data mining, and data cleansing/transformation) Competency in major analytics frameworks and programming environments like Data Mesh and Data Fabric Technical Expertise: Understands technical and business discussions relative to future architecture direction aligning with business goals. Understands concepts of setting and driving architecture direction. Familiar with elements of gathering architecture requirements. Understands architecture standards concepts to apply to project work. Business Acumen: Understand key cross-functional concepts that impact the organization; is aware of business priorities and organizational dynamics. Personal Attributes: Applies values, policies, procedures and precedent to make timely, routine decisions of limited, clear choice. Reacts open-mindedly to new perspectives or ideas. Considers different or unusual solutions when appropriate. Resolves day-to-day issues related to strategy implementation. Escalates issues that impact the client and/or strategic initiatives. Inclusion and Diversity GE HealthCare is an Equal Opportunity Employer where inclusion Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you d expect from an organization with global strength and scale, and you ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. Relocation Assistance Provided: Yes

TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you re working in our four global Home Offices, Distribution Centers or Retail Stores TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family a Fortune 100 company and the world s leading off-price retailer. Job Description: Data Insights & Analysis: Collaborate with the analytics team to extract actionable insights from TJXs expansive data sources, addressing strategic inquiries. Communicate findings effectively to business partners, facilitating understanding and meaningful data-driven decision-sharing. Support ad-hoc analysis, custom reporting, and special projects for business partners, including industry benchmarking. Support the data Analytics managers with data cleansing and preparation. Support the category management team in category planning process where data/insights are required. Supplier Evaluation & RFx Support: Contribute to creating and executing various tender events from a pricing & Bid perspective. Analyze complex tender offers in Coupa/GEP and other sourcing platforms where required. Building scenarios to help demonstrate financial impact based on commercial decisions. Reporting & Metrics: Gather, Create, and provide tailored reports to support GBS operations and strategic goals. Create, maintain, and update performance monitoring metrics and dashboards. Decision Making: Lead sourcing initiatives and determine event structures and criteria. Collaborate with global partners and project leads on various projects. Scope of Responsibility (i.e. Financial impact) Work closely with Data Analytics Managers to support Global Sourcing & Procurement, Workplace Services and Global Continuous Improvement on various size projects. Supports GS&P with complex analysis to identify savings opportunities across USD $8B non-merchandise spend. Skills/Knowledge Experience in Coupa Sourcing Optimization is Required Proficient/Advanced levels in Microsoft Office suite, Excel, Access, Power BI, Power Query Strong Mathematic Acumen for quantitative analysis Expertise in database querying and design. Skilled problem solver Adaptable to fast-paced environments. Interpersonal and relationship-building skills. Education: Bachelor s or Master s degree in Social Sciences, Finance or Business Management is advantageous, but not required. Minimum Experience: 4-5 years of data analytics experience required. Expertise in current analytics best practices, tools, and applications. Additional Areas of Experience Preferred: Data Modelling In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individuals status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. Address: Salarpuria Sattva Knowledge City, Inorbit Road Location: APAC Home Office Hyderabad IN

Position: Sales Ops Analyst Organization: WW Sales Operations Location: Noida, India Direct Manager: Senior Manager Sales Ops Description The Sales Ops Analyst functions as an integral part of the sales operations team. The candidate should know how to manage compensation processes for WW Sales Organization Reps, manage compensation rules in the compensation tool, report around attainment, set quotas for sales reps, and ensure that compensation and revenue actuals are followed and completed within the required timelines provided. The candidate develops, implements, and utilizes processes and tools to enable the sales lifecycle. He/ She should how to analyze and report order pipeline, bookings, forecasting, sales productivity, and goal attainment. We seek energetic, dynamic, engaging individuals who are passionate about working with data, complex rules, sales performance metrics, etc. This position will report to the Manager Sales Operations and will be responsible for interacting regularly with WW Sales & Sales Operations teams, etc. Primary Responsibilities Lead multiple concurrent projects and initiate, and drive projects to completion with minimal guidance Understanding process bottlenecks and inconsistencies to improve the sales team s performance Engage and work with aligned operations teams and lines of business to more effectively achieve data needs and analysis results Develop and maintain sales analytics reports and dashboards to provide actionable insights that support data-driven decision-making for the sales and executive leadership teams Strengthen sales and operational efficiency by applying innovative methods, streamlining processes and systems, and exchanging standard practices. Augment data quality assurance processes by putting in place required QA activities to run sanity, correctness, and quality of data to ensure trust among end consumers/stakeholders and accurate payouts to reps Apply data cleansing techniques to improve the quality and accuracy of contacts and accounts databases and develop processes and methods for acquiring net new names to our database. Skills: 4-7 years of work experience Bachelor s Degree (MBA preferred) Project Management experience in handling complex projects with multiple stakeholders Experience working in sales operations Expert in Microsoft Excel (creation of multi-variable models; fuzzy logic matching, use of v-lookups, h-lookups, sum-if, pivots, etc.) and PowerPoint (linking PPT to Excel, embedded charts, etc.) Expert in creating Excel VBA Macros and automating many excel based reports Experience using tools & platforms such as SFDC, Power BI, Tableau Working knowledge of MS Access & SQL Highly organized, and pays attention to details Ability to work under minimal supervision, a strong team player Strong Analytical skills Strong project management skills Ability to work under tight schedules & have the flexibility to work under different time zones at times .

Amazon s Last Mile Analytics and Quality (LMAQ) team is seeking an experienced program manager to lead program(s) focused on transporter safety in the Amazon Geospatial domain. In this vertical, we drive initiatives by partnering with various teams in Last Mile to improve Amazon map data and to identify and mitigate risk factors concerning on the road driver safety using geospatial data. An ideal candidate for this role has solid program management skills and is eager to develop them further. S/he has the ability to implement and maintain processes and mechanisms to effectively support program execution. S/he should be comfortable with data analysis, assisting in process improvements, and helping to standardize procedures under guidance. The candidate should be able to identify issues within current systems and contribute to resolving them. This job requires good communication and interpersonal skills, with the ability to work collaboratively in a team environment while also managing tasks independently. The successful candidate will be capable of addressing logistical challenges, show initiative in problem-solving, and demonstrate a strong commitment to completing projects and delivering results. The ideal L4 Program Manager will be detail-oriented, organized, and able to juggle multiple priorities effectively. S/he should be proficient in using project management tools and be ready to learn and adapt to new methodologies and technologies in the world of geospatial data. Responsibilities include, but are not limited to: - Own the Program, define and achieve KPIs; Drive performance improvement initiatives. - Develop and monitor program metrics to identify potential issues in last mile deliveries. - Identify patterns of defects that will help us build initiatives to reduce defects at scale. - Ability to pull data and perform deep-dives and root-cause analysis as needed. - Lead initiatives to identify and eliminate root causes of defects in order to reduce defects and improve the delivery experience for Amazon customers. - Very good communication, both verbal and written to regularly provide business updates during weekly/monthly/quarterly reviews. - Communicate with stakeholders to share regular updates, resolve blockers and deliver programs/initiatives on time. - Work within various time constraints to meet critical business needs, while measuring and identifying activities performed and ensuring service requirements are met. - Must be able to systematically escalate problems to the relevant owners and teams and follow through on the resolutions to ensure they are delivered. About the team The Last Mile Analytics & Quality (LMAQ) team is part of the Last Mile Tech team and works on improving Geospatial data, route quality, and support the driver lifecycle programs. We run programs to identify and reduce defects through manual audits, and leverage data and anecdotes to identify opportunities and closely collaborate with Tech, Science and Product teams to improve our products at scale. - 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.) - Experience with SQL - Experience in requirement gathering and ability to write clear and detailed requirement document

Cantor Fitzgerald is looking for Analyst 1 - Document Imaging to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

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.