959 Data Cleansing Jobs - Page 34

Job Summary The Senior Process Executive - HC will play a crucial role in managing provider data cleansing and updates ensuring accuracy and efficiency in healthcare data processes. With a hybrid work model and rotational shifts the candidate will utilize their expertise in MS Excel and Excel Services on SharePoint to streamline operations and enhance data integrity. This position requires 2 to 4 years of experience in relevant technical and domain skills. Responsibilities Manage provider data cleansing processes to ensure accuracy and reliability of healthcare information. Utilize MS Excel to analyze and organize large datasets for efficient data management. Implement Excel Services on SharePoint to enhance collaboration and data sharing among team members. Oversee provider add/update processes to maintain up-to-date and accurate provider information. Collaborate with cross-functional teams to identify and resolve data discrepancies. Develop and maintain documentation for data management processes to ensure consistency and compliance. Provide insights and recommendations for process improvements based on data analysis. Ensure adherence to data governance policies and procedures to protect sensitive information. Support rotational shifts to ensure continuous data management operations. Contribute to the development of best practices for provider data management. Assist in training team members on data management tools and techniques. Monitor data quality metrics to identify areas for improvement and implement corrective actions. Engage in regular communication with stakeholders to provide updates on data management activities. Qualifications Demonstrate proficiency in MS Excel for data analysis and management tasks. Exhibit experience with Excel Services on SharePoint for enhanced data collaboration. Possess strong skills in provider data cleansing and update processes. Show ability to work effectively in a hybrid work model and rotational shifts. Display excellent problem-solving skills to address data discrepancies. Have experience in maintaining documentation for data processes. Present strong communication skills for stakeholder engagement.

Location: Hyderabad Function: HD HR Requisition ID: 1033270 Our Company We’re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We’re crucial to the company’s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The role: We are looking for a detail-oriented and proactive HR Senior Data Analyst to join our HR team. The ideal candidate will support HR reporting, manage HR reporting service tickets, and help translate data into impactful visualizations and presentations. A foundational understanding of HR functions, proficiency in Excel, and comfort working on PowerPoint decks is essential. Familiarity with Power BI will be a strong plus. Key Responsibilities: Handle HR reporting tickets and queries, ensuring timely resolution and stakeholder satisfaction Collaborate with HRBPs and functional teams to understand data/reporting needs Prepare insightful presentations and decks using PowerPoint to support HR meetings and reviews for analyses Assist in workforce analytics, employee lifecycle tracking, and ad-hoc HR data requests using Excel (pivot tables, lookups, data cleaning, etc.) Work closely with the HRIS team to ensure data integrity and consistency Support data gathering for audits, compliance, and HR metrics reporting Leverage Power BI to create or update visual reports and dashboards What you’ll bring: 3–7 years of experience in an HR or HR analytics role Strong proficiency in Microsoft Excel (pivot tables, charts, formulas, etc.) Working knowledge of PowerPoint for corporate presentation creation Familiarity with HR processes, systems, and terminologies Experience handling HR service requests/tickets Good communication and stakeholder management skills Ability to handle multiple tasks and work in a fast-paced environment Exposure to or hands-on experience with Power BI Nice to Have: Understanding of HRIS tools like Workday SQL knowledge About us We’re a global, 1000-stong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We’re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you’re not just another employee; you’re part of a tradition of excellence and a community working towards creating a digital future. #LI-RR1 Championing diversity, equity, and inclusion

NUTRIS CROP SOLUTIONS INDIA PVT.LTD is looking for DATA ANALYST 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.

Inspira Enterprise India Pvt. Ltd. is looking for Analyst 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. BE/B.Tech/B.SC IT/ BCA Total 3 years of exp. CEH certification Must Monitoring Tracking Incidents/Alerts 24x7, Reporting Escalation, Regular SIEM Administrati

Collect & manage data from various sources. Clean & organize data to ensure accuracy. Spot trends and patterns in data to help the business. Create charts, dashboards, and reports for different departments. Required Candidate profile Strong skills in Excel, Google Sheets, SQL, & Python. Expwith data visualization tools - Power BI, Tableau, or Looker Studio. Excellent communication skills to explain complex data in simple terms.

Job Responsibilities Collecting and cleaning data from various sources. Accurately input data into CRM and other third-party systems. Perform regular updates to existing data entries to reflect current information. Execute mass data loading procedures into the CRM and third-party applications while adhering to best practices to avoid data corruption. Monitor and troubleshoot any issues that arise during data loading processes. Ensuring data quality, accuracy, and consistency across all data sources. Conduct regular audits of data to ensure accuracy, completeness, and consistency. Maintain comprehensive documentation of data sources, processes, and data management best practices Requirements Bachelors Degree in relevant field. 1 to 3 years of proven experience in data entry, data management, or a similar role. Strong skills in data cleaning, processing, and validation. Proficiency with CRM systems and experience in mass data loading. Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams. Ability to work independently and manage multiple tasks simultaneously. Excellent organizational skills and attention to detail to detail with the ability to work with large data sets. A willingness to learn and adapt to new tools and technologies as needed. Compensation and Benefits Compensation: Commensurate with Industry standards Other Benefits: Provident Fund, Gratuity, Medical Insurance, Group Personal Accident Insurance etc. employment benefits depending on the position.

We are looking for a skilled Solution Architect with 10 to 15 years of experience to join our team in Bengaluru. The role involves designing and implementing scalable, reliable, and high-performing data architecture solutions. ### Roles and Responsibility Design and develop data architecture solutions that meet business requirements. Collaborate with stakeholders to identify needs and translate them into technical data solutions. Provide technical leadership and support to software development teams. Define and implement data management policies, procedures, and standards. Ensure data quality and integrity through data cleansing and validation. Develop and implement data security and privacy policies, ensuring compliance with regulations like GDPR and HIPAA. Design and implement data migration plans from legacy systems to the cloud. Build data pipelines and workflows using Azure services such as Azure Data Factory, Azure Databricks, and Azure Stream Analytics. Develop and maintain data models and database schemas aligned with business requirements. Evaluate and select appropriate data storage technologies including Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage. Troubleshoot data-related issues and provide technical support to data users. Stay updated on the latest trends and developments in data architecture and recommend improvements. Coordinate and interact with multiple teams for smooth operations. ### Job Requirements Proven experience as a Technical/Data Architect with over 10 years of product/solutions development experience. Hands-on experience with software/product architecture, design, development, testing, and implementation. Excellent communication skills, problem-solving aptitude, organizational, and leadership skills. Experience with Agile development methodology and strategic development/deployment methodologies. Understanding of source control (Git/VSTS), continuous integration/continuous deployment, and information security. Hands-on experience with Cloud-based (Azure) product/platform development and implementation. Good experience in designing and working with Data Lakes, Data Warehouses, and ETL tools (Azure based). Expertise in Azure Data Analytics with a thorough understanding of Azure Data Platform tools. Hands-on experience and good understanding of Azure services like Data Factory, Data Bricks, Synapse, Data Lake Gen2, Stream Analytics, Azure Spark, Azure ML, SQL Server DB, Cosmos DB. Hands-on experience in Information management and Business Intelligence projects, handling huge client data sets with functions including transfer, ingestion, processing, analyzing, and visualization. Excellent communication and problem-solving skills, and the ability to work effectively in a team environment.

We are looking for a skilled professional with 8 to 12 years of experience to join our team as an Assistant Director/Manager - Service Excellence in Bengaluru. The ideal candidate will have a strong background in problem-solving and driving change through technology. ### Roles and Responsibility Develop and implement process improvements to enhance service excellence and efficiency. Manage business stakeholders across different levels, building strong relationships and ensuring seamless project delivery. Conduct assessments of current processes to identify improvement and automation opportunities, creating an automation and transformation roadmap. Collaborate with various functions to ensure system solutions meet functional requirements. Present data, share analysis, and gain stakeholder concurrence on actions for assigned processes. Set up lagged and leading indicators for measurement within the system, building and driving calibration models to standardize onshore and offshore processes. Demonstrate skills in data cleansing, data quality assessment, and using analytics for data assessment. Participate in continuous improvement initiatives (KAIZEN) and other quality-related initiatives to spread quality awareness. Deploy consulting best practices, knowledge, and techniques when undertaking work. Perform rapid assessments of client landscapes, providing insights around hypotheses and solutions. ### Job Requirements Strong experience in problem-solving and driving change through technology. Total experience between 8-12 years, including managing or supporting workstreams/project initiatives in large-scale transformation projects. Knowledge of Business Process Re-Engineering, Six-sigma concepts of DMAIC, Project Management, and all related tools. Experience in mentoring and implementing projects, along with expertise in creating, reviewing, and closing projects. Well-versed with contemporary technologies such as RPA, Machine learning, Artificial Intelligence, and Analytics. Experience in process due diligence and diagnostics, building solutions, and restructuring processes. Assertive, strong orientation towards statistical analysis, good team player, and willingness to lead teams not reporting into them. Ability to set up metrics for measurement in the system and build and drive calibration models. Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment. Should have taken part in Continuous improvement initiatives (KAIZEN) and other Quality-related initiatives to spread quality awareness. Excellent communication skills, result-oriented, self-driven person with a high energy level, analytical and structured with extensive experience in managing a high-performance team. Knowledge of statistical tools. Knowledge of data science and exposure to decision science projects. Knowledge of business analytics tools like Tableau, PowerBI, or similar tools. Exposure to agile framework. Exposure to Design Thinking framework. Exposure to latest AI/Gen AI tools. Implement visualization concepts. Expertise in building reports and deriving intelligence from them.

Position - SAP Ariba Technical Consultant Experience - 7 - 10 Years ( C2H Hiring - Permeants with Brainworks Business Solution Location - Bangalore Working Mode - Hybrid ( 3 Days in week ) Shift Timing - 2 PM 11 PM IST Notice Period - Only Immediate Candidate Can Apply ( Serving Notice Period Max 30 may 2025 ) We are looking for candidate Perform full data migration activities: planning, execution, and oversight. Extract data from Ariba based on templates and cleanse data per business rules. Ensure data accuracy, consistency, completeness. Conduct master data analysis, testing, release. Create inventories of data fields, workspaces, and attachments. Address duplicates/incomplete data and identify customizations. Standardize metadata (contract type, expiration, vendor names). Backups, field mapping, metadata and attachment extraction. Ensure file integrity and manage unsupported formats. Transfer validated data to network storage (e.g., SharePoint). Reporting and error logs for failed extractions. interested candidate please share your CV's on rutuja.s@bwbsol.com / 9859368787

Role Summary: The Data Quality Analyst will ensure robust monitoring and validation of cybersecurity metrics across all three levels of data quality control as defined in the DUSE framework. This includes rule creation, data profiling, exception handling, and supporting remediation actions across ~400+ existing DQ rules. Key Responsibilities: Support completion of DUSE 4 tasks by identifying and evidencing relevant DQ controls. Define, test, and implement DQ rules for cyber metrics (timeliness, accuracy, completeness). Profile data flows and monitor feeds against DQ thresholds using platforms like Databricks and Aurora . Log data quality exceptions, assess severity, and support remediation through root cause analysis. Maintain and update DQ monitoring dashboards and track compliance with internal and regulatory milestones. Work closely with Cyber SME and Data Engineers for validation and alignment on cyber-specific controls and issues. Own triage and gap validation for cyber risk metrics, ensuring closure of monitoring gaps. Collaborate with Data Architect and Engineers to build scalable DQ rules aligned with legacy and emerging cyber data structures. Supervise creation of control evidencing and closure packs for DUSE audits. Guide the team in identifying recurring issues and logging DQ exceptions. Facilitate training and ramp-up of junior analysts; serve as SME for DQ remediation approaches. Skillsets Required: Strong background in data quality assessment , issue management, and rule-based monitoring. Deep understanding of data management in financial services , especially for regulatory metrics. Experience working with large-scale DQ frameworks across DUSE/DMOV controls . Strong skills in issue resolution, DQ rule design , and control validation. Hands-on experience with tools like Databricks , Aurora , Excel , and Confluence . Able to lead process improvements and maintain high-quality documentation. Experience in BCBS 239/DUSE compliance, ideally within cybersecurity or operational risk. Familiarity with exception management, DQ scorecards, and automated reporting workflows. Excellent stakeholder collaboration skills, especially with ITSO and process owners.

Role & responsibilities Role Overview: We are hiring an experienced and passionate trainer to conduct in-person sessions at our Hyderabad campus. The ideal candidate should have strong technical expertise in Data Science, AI/ML, and Python programming, along with a passion for teaching and mentoring students. Youll be responsible for delivering high-quality training, guiding hands-on projects, and ensuring that our learners are equipped with in-demand skills and knowledge. Key Responsibilities: Deliver classroom-based training sessions on Data Science, Machine Learning, and AI tools and techniques. Break down complex concepts into simplified, engaging content suitable for beginners and intermediate learners. Guide students through live projects, capstone assignments, and lab sessions. Provide one-on-one mentorship and support during learning and project work. Collaborate with curriculum teams to continuously improve content and delivery. Stay updated with the latest trends in AI, ML, and emerging technologies like GenAI and LLMs. Why Join Us? If you’re passionate about empowering the next generation of tech professionals and believe in delivering practical, impactful education—WhiteScholars offers you a rewarding platform to shape future careers. Preferred candidate profile Who Should Apply: Candidates based in Hyderabad (onsite role only). Graduates in Computer Science, Engineering, Data Science, or a related field. Professionals with a solid understanding of core data science concepts, machine learning, and AI. Prior experience in training, teaching, or mentoring is preferred (but not mandatory). Working professionals from the industry looking to mentor part-time are also encouraged to apply. Willingness to travel occasionally for sessions or workshops. Must-Have Skills: Proficiency in Python, NumPy, Pandas, and Scikit-learn. Strong understanding of data preprocessing, model building, and evaluation techniques. Exposure to Power BI, TensorFlow/Keras, and basic NLP techniques. Ability to teach with clarity and adapt to different student learning styles. Excellent communication and presentation skills. Confident in handling live Q&A, student feedback, and interactive sessions. Good to Have: Experience with Deep Learning frameworks and GenAI tools (OpenAI, Hugging Face). Exposure to LLMs, Prompt Engineering, or real-world AI/ML deployments. Familiarity with GitHub, project portfolios, and interview preparation guidance.

Overview DQ Expert will act as individual contributor enforcing strict Enterprise Data Management strategy through globaly defined data standards and governance in order to successfuly deliver business transformation within SAP S/4 Hana projects. Data Quality Expert will be responsible for delivery of internal data quality application to support data readiness and conversion activities for project and new market deployment assuring Global Template data standards are followed. This role involves active engagement in requirements gathering, testing, data cleansing, issue analysis and resolution, data conversion, and mock/cutover conversion activities. Position holder must work directly with multiple project fuction specialists, ex.OTC, P2P, MTD, as part of extended Data Conversion team on day to day basis as well as engaging the market business process/data owners . Responsibilities Partner with Data Validation Team to ensure Quality of migrated data Ensure global lift and shift opportunities are deployed across the sectors Manage questions and clear path for developers to complete build/test of data validation Work with Global on design updates/new patterns Manager the overall tracker for conversion stats and Provide direction & guidance to conversion team\" Qualifications Minimum Bachelors degree is required. Computer Science or Information Systems is preferred. Minimum 10 years in IT in ERP transformation programs in Data Management area. Experience in at least 3 end to end implementations of SAP ERP/ECC with responsibility for Data Quality and Master data standards. Experience of working with/manipulating big data sets (or systems built on significant datasets) Knowledge of SAP Master data models Data Readiness, Conversion, Migration and Cutover experience from a functional standpoint Understanding of Data Quality/Data cleansing practices Demonstrated documentation acumen, presentation of data standards materials for reporting to project and stakeholders alignment.

Lead and support the design, development, and execution of IT and process-related projects, ensuring alignment with organizational objectives and timelines. Collaborate with cross-location and cross-functional teams to refine and implement processes using a variety of methodologies (e. g. , classic, agile, hybrid). Drive continuous improvement initiatives across the organization Define and optimize future master data processes for both legacy SAP R3 systems and the new SAP S4 landscape. Lead the development, configuration, and deployment of master data-related IT projects, ensuring scalability and compliance with organizational standards. Structure and manage data migration initiatives, ensuring accurate and efficient data cleansing and validation processes. Implement best practices to maintain high-quality master data Oversee project teams, providing guidance and support throughout the project lifecycle. Facilitate collaboration between technology and business teams to achieve project goals. Act as an expert in the respective area and interact with the Master Data network within the organization. Qualification: Bachelors or masters degree in (Business) Informatics, Computer Science, Business Administration, or a related field. Language: English fluent, German is a plus. Experience: o Minimum 10+ years proven experience leading IT projects, with a focus on master data management, system integration, and process improvement. o Strong expertise and experience working with STIBO Step technology. o Hands-on experience with SAP systems (R3 and S4) and managing master data processes within these platforms. o Familiarity with data migration tools and methodologies o Strong understanding of master data governance frameworks and data quality management. Working Style: o As project manager, product owner or process manger working under pressure is known by you. You show high flexibility and good problem-solving capacity. You are highly motivated, self-determined and can structure your work by your own. Besides, you always focus on the given targets and goals. o Experience with project management methodologies (agile, waterfall, hybrid). Personality: o Ability to establish and maintain good relationships with customers, (internal) vendors, co-workers, and stakeholders. You can describe and sell your ideas and convince people to support these. o Strong problem-solving capabilities and the ability to drive results under pressure. o Ability to collaborate effectively in cross-functional and international teams.

Role: Master Data - Team Lead (Projects) Reporting to - Global MDM Manager Technical Competencies: Should have hands on experience on Master data creation and maintenance (Material / Vendor / Pricing / Customer / PIRs / Source List/BOM data etc) Hands on experience on SAP toolsets in Data space - including Data extraction programs from SAP, SQVIs, ETL processes, Load programs, LSMW, LTMC, BODS, data quality maintenance and cleansing etc. Knowledge of Request Management tools eg: SNOW, Remedy etc Knowledge of key database concepts, data models, relationships between different types of data An understanding of end-to-end set-up and business impact of master data key fields Knowledge about SAP, S/4 HANA, SAP-MDG, Ariba , SFDC, MW (Informatica etc) or additional ERP platforms, IT tools and technologies is desirable Experience in Data Management Processes (Data Profiling & Cleansing, Workflows, Data Quality, Governance Process, relationships & dependencies with IT teams etc.), or functional knowledge in SAP MM/PP or OTC modules will be an added advantage Should have prior experience of handling a team. Primary Responsibilities/ Role Expectations: As an MDM Team Lead, the role would involve: Getting adept with MDM process and gaining knowledge by initially working on daily business requests for master data objects - creation / update / obsolete / reactivate. Responsible for holding key business stakeholder interactions for feedback, business requirements and to maintain data governance and data quality. Testing master data creations/updates across tools and interfaces Participation in key projects - S/4 HANA global implementation support as functional master data management expert Work with project team on definitions, design, build and implementation of in-scope technology solutions Support MDM 360/MDG Workflows design and deployment - ensure integrity of the solution, user acceptance testing, end-user tools and documentation, training, and support Multiple stakeholder interaction and leading a team to meet the above deliverables Keep inhouse team engaged & updated on MDM projects (S4, MDG, MDM360 etc) & key activities (Data Quality etc) Getting the team and the allocated region ready for future additional tasks/requirements/projects as and when needed Responsible for maintaining data governance, data quality and for data cleansing activities Mentoring the team members on topics of expertise Strong ownership focus, drive to excel & deliver Flexibility to work in shifts. Other Skills & Experience: Professional experience of ~ 8-10+ years Good communication skills, stakeholder alignment, experience of interaction with end clients/ international colleagues across geographies Ability to resolve conflicts, share, collaborate and work as a leader for the allocated team.

Evalueserve.com Pvt. Ltd is looking for Junior Analyst 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.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. ? Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. ? Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. ? Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains ? Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations?. Build strong relationship with key business leads and partners to ensure their needs are met . Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc ) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications Minimum experience with 5 - 8 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Stewards to increase the trust and reuse of data across Amgen. Roles & Responsibilities Contribute to the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Assess and document with the stakeholder community their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. ? Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. ? Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains ? Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations?. Functional Skills: Must-Have Functional Skills: General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. General knowledge with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy . Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: K nowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used for data management . E.g. Collibra, Ataccama Data Quality platform. Experience with Agile software development methodologies (Scrum ) Soft Skills: Good analytical skills Ability to work effectively with global, virtual teams Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Good verbal and written communication skills Basic Qualifications Minimum Experience with 2 - 5 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation .

Job Title: Guidewire Conversion Developer Experience: 7 to 10 Years Location: Pan India (UST Office Locations) Work Mode: Hybrid Shift Timing: 2:00 PM to 11:00 PM IST Domain: Insurance / Property & Casualty (P&C) - Preferred Job Overview: We are seeking a skilled and experienced Guidewire Conversion Developer to support and manage data migration activities for Guidewire implementations. The ideal candidate will have strong technical knowledge of Guidewire products (PolicyCenter, BillingCenter, ClaimCenter), along with proven experience in data conversion projects. Key Responsibilities: Design, develop, and implement data conversion processes for Guidewire applications (ClaimCenter, PolicyCenter, BillingCenter). Perform data extraction, transformation, and loading (ETL) from legacy systems into Guidewire using industry-standard tools and Guidewire APIs. Collaborate with Business Analysts and Data Architects to understand source data and mapping requirements. Write data mapping documents and validate data integrity post-conversion. Build utilities and tools to support conversion validation, reconciliation, and automation. Optimize and troubleshoot performance issues in data migration routines. Work closely with functional and QA teams to support testing phases (Unit, SIT, UAT). Participate in Agile development lifecycle and attend daily stand-ups and sprint planning sessions. Required Skills: 7 to 10 years of total IT experience with minimum 3-4 years in Guidewire data conversion . Strong hands-on experience in Gosu , Java , and Guidewire APIs . Proficient in SQL , PL/SQL , data modeling, and working with large datasets. Familiarity with ETL tools , data cleansing, and data quality best practices. Experience with Guidewire cloud or on-prem implementations is preferred. Good understanding of P&C insurance business processes and Guidewire data model. Strong debugging, analytical, and problem-solving skills. Excellent communication skills with the ability to work in 2:00 PM to 11:00 PM IST shift. Required Skills Guidewire,Data Conversion,Sql

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 : Guidewire DataHub Good to have skills : NA Minimum 12 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 contribute to key decisions and solutions. 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. Expected to provide solutions to problems that apply across multiple teams. Lead process improvement initiatives to enhance efficiency. Conduct data analysis to identify trends and insights. Develop and maintain process documentation. Collaborate with stakeholders to gather requirements and define project scope. Professional & Technical Skills: Must To Have Skills: Proficiency in Guidewire DataHub. 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 12 years of experience in Guidewire DataHub. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education

Role -MIS / Data Analyst for Sales Responsibilities- 1.Work closely with Management and business strategy team to model, analyze, prepare, and summarize information for companys Sales, Products, New initiatives, organic and inorganic growth etc. 2.Analyze sales data, including historical performance, trends, and market insights, to identify opportunities and challenges. 3.Create meaningful reports, dashboards, and presentations to visualize and communicate sales performance metrics to the sales team and management. 4.Assist in managing customer inquiries, resolving issues, and providing exceptional customer service. 5.Work closely with the sales team to develop sales targets and strategies based on data-driven insights. 6.Preparing and monitoring funnels performance weekly for sales team 7.Work with Business Teams to monitor potential opportunities. 8.Tracking performance (Target vs achievement) of business team product wise and presenting to management 9.Ensure the CRM system is utilized effectively for tracking leads, opportunities, and customer interactions. 10.Providing access of CRM tools to business team and providing solutions if any issue team is facing regarding CRM tools. 11.Providing sales data to respective sales representatives, generating reports, and supporting them as and when needed. (Majorly Traffic and Revenue report, Funnel pipeline stage etc. 12. Act as a liaison between the sales team and other departments 13. Ensuring the team is updating their opportunities, leads and their pipeline stages in CRM regularly. Qualification / Skills/ Experience 1. Bachelor / masters degree in business, Sales, Finance, or a related field. 2. Proven 3-4 years of experience in data analysis and interpretation, preferably in a sales or marketing context. 3.Proficiency in data analysis tools and software (e.g., Microsoft Excel, Tableau, Salesforce) 4.Strong attention to detail and analytical thinking 5.Excellent communication and interpersonal skills 6.Ability to work independently and collaborate effectively within a team. 7.Highly organized with the ability to manage multiple tasks and deadlines. 8.Prior experience with CRM systems is a plus. If you are data-driven individual with a passion for supporting sales initiatives and making a measurable impact, we invite you to apply for the Sales Coordinator - Data Analysis position. Join our dynamic sales team and help drive success through insightful data analysis and coordination.

Project Role : BI Architect Project Role Description : Build and design scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. Create industry and function data models used to build reports and dashboards. Ensure the architecture and interface seamlessly integrates with Accentures Data and AI framework, meeting client needs. Must have skills : SAS Base & Macros Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a SAS BASE & MACROS, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs. Roles & Responsibilities1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework. 2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices.3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies.4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines.5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows.6.Optimize performance of new Python workflows and ensure data quality and consistency.7.Document migration processes, coding standards, and pipeline configurations.8.Integrate new pipelines with google cloud platforms as required.9.Provide guidance and support for testing, validation, and production deployment Professional & Technical Skills: Must To Have Skills: Proficiency in SAS Base & Macros 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 8+ years of exp with min 3 years of exp in SAS or python Data engineering Qualification 15 years full time education

Project Role : BI Architect Project Role Description : Build and design scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. Create industry and function data models used to build reports and dashboards. Ensure the architecture and interface seamlessly integrates with Accentures Data and AI framework, meeting client needs. Must have skills : SAS Base & Macros Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a SAS BASE & MACROS, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs. Roles & Responsibilities1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework. 2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices.3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies.4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines.5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows.6.Optimize performance of new Python workflows and ensure data quality and consistency.7.Document migration processes, coding standards, and pipeline configurations.8.Integrate new pipelines with google cloud platforms as required.9.Provide guidance and support for testing, validation, and production deployment Professional & Technical Skills: Must To Have Skills: Proficiency in SAS Base & Macros 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 8+ years of exp with min 3 years of exp in SAS or python Data engineering Qualification 15 years full time education

Project Role : BI Engineer Project Role Description : Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Integrate security and data privacy protection. Must have skills : SAS Analytics Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a SAS BASE & MACROS, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs. Roles & Responsibilities1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework. 2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices.3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies.4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines.5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows.6.Optimize performance of new Python workflows and ensure data quality and consistency.7.Document migration processes, coding standards, and pipeline configurations.8.Integrate new pipelines with google cloud platforms as required.9.Provide guidance and support for testing, validation, and production deployment Professional & Technical Skills: Must To Have Skills: Proficiency in SAS Base & Macros 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 8+ years of exp with min 3 years of exp in SAS or python Data engineering Qualification 15 years full time education

KDataScience (USA & INDIA) is looking for Data Analyst 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.

About Us Join our World of Talent. Global, culturally diverse, inclusive, and innovative - welcome to AMS, where talent is our world. Over the last two decades, AMS has redefined the landscape of talent outsourcing and consulting. From pioneering the concept of RPO to continually revolutionizing how organizations approach talent acquisition, AMS stands as a world leader in the industry. Committed, engaged, and inspired, we feel a real sense of belonging, and all have one thing in common: a real passion for talent. Become part of this world and make a difference with us. https://www.weareams.com/ The Role At AMS, talent is our world and now, we're expanding that world with a fresh perspective. Our newly established Insights & Intelligence team is a global group of innovators and data experts, dedicated to revolutionizing talent services through the power of data. Together, we uncover our clients' unique needs and translate them into actionable insights, empowering Talent Acquisition teams to excel. The Manager serves as a key operational leader within the Insights &Intelligence Hub, driving excellence in service delivery and fostering effective team management. In this role, you will lead and inspire a dynamic I&I Hub team supporting a diverse portfolio of clients while ensuring top-tier performance. Additionally, you will collaborate closely with I&I Partners and the Data Strategy team to implement innovative approaches and best practices, shaping the future of I&I delivery. Key Accountabilities Leading and driving the team to ensure that performance, productivity and customer satisfaction are delivered in line with AMS and client expectations, managing any escalations as they arise Leading delivery of I&I Hub service in line with budget and forecasts Ensuring that the teams outputs are rigorously tested, validated, and audited in line with the Data Governance teams quality standards, assessing any discrepancies and analysing trends to deploy continuous improvement plans Managing costs within the team and supporting delivery of financial targets set within agreed budget with any variances anticipated, signalled in advance, and aligned resolution in place Requirements: Immediate joiner or with not more than 45 day notice period. 10+ years of proven experience in insights and intelligence. Hands on experience in Adv. Excel, Macros, Data Mining, Data Modelling, ETL tools and techniques, and Agile working models. Understanding of Talent Acquisition and RPO, including use cases and deployment Proficiency in resource management, workload distribution, and capacity planning to optimize team efficiency and productivity. Excellent project management and presentation skills with a proven ability to manage multiple workstreams and stakeholders. Prioritize tasks and meet deadlines in a fast-paced environment Continuous improvement and innovation led mindset. Ability to articulate and present complex data to simple and meaningful insights for the stakeholders. You can directly apply on the AMS career website using the below link https://www.weareams.com/careers/job-search/job/?id=41067 Why AMS? At AMS, we recognize the value of different perspectives and experiences in prompting innovation, sparking creativity, and solving problems. We come from every walk of life, and our culture is open and inclusive. Our people enjoy flexibility, autonomy, and being trusted to work their way. We offer you career opportunities in every direction you want to explore. Its our world but you can do it your way. We offer: Full training and support High value and challenging work A vibrant, diverse, and collaborative culture Flexible working A competitive reward and benefits package* *Details may vary slightly depending on your location, local labour law, etc. Our culture of inclusion and belonging. We welcome applications from people of all backgrounds, and all aspects of employment are based on merit, qualifications, and business needs. We do not discriminate based upon age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other applicable legally protected characteristic. If you require any accommodations or have any accessibility needs, please reach out via email talentacquisition.generalenquiries@weareams.com or make a member of our Talent Acquisition team aware at any time. Hit the Apply now button to get your journey started!