179 Data Models Jobs - Page 7

Role & responsibilities 5+ years of related experience Design/development of ETL jobs and design data models as per the analytics requirements, integrating data for multiple departments. Proficient in development and unit testing of ETL packages Development, deployment, Maintenance of ETL Jobs ,SSIS Packages Minimum 5 years experience in design/development and unit testing of ETL jobs and design data models as per the analytics requirements. Should have been part of a similar project with experience of handling and integrating data for multiple departments. Should have experience of delivering large IT transformation projects. Qualification: B. Tech/ BE/ MCA/ M. Tech/ ME/ Ph.D. in Computer Science/ Information technology (IT)/ Electronics & Tele-Communication Engineering. Bachelor and Master degree in Computer Science will be preferred. Certification: MCSE: Data Management and Analytics, MCSA: SQL 2016 BI Development Interested candidates share your profile at parul@mounttalent.com/parul.s@mounttalent.com.

Role & responsibilities: Data Engineer Minimum Experience - 8 years Must have experience in design/development of ETL jobs and design data models as per the analytics requirements. Should have been part of a similar project with experience of handling and integrating data for multiple departments 8+ years of related experience Data Engineers have to manage ETL Design Requirements, their implementation and maintenance. They should be able to develop/Deploy/Test and manage ETL Package solutions. They have to design/develop ETL jobs and design data models as per the analytics requirements. Data modeling Engineer have to Develop, deploy and maintain Data Models. They have to do dimensional modeling for data marts. They are expected to integrate and map data from multiple and complex data sources. Their role includes development of models/Cubes for depicting online and in performance tuning the same so that user queries are addressed. Data Steward should be capable of handling Data Quality interventions for Large enterprise projects. They have to understand the data quality issues and have to develop data quality related solutions using the tools (Python, SQL, Dataflux etc.). They Should be familiar with data cataloguing tools, Talend, Informatica etc. They have to manage PFMS Data Dictionary and have to do Data Cleaning and Implementation of Exception handling for ETL Packages. Qualification: BE / B. Tech / M. Tech/MCA in Computer/IT/)/ Electronics & Tele-Communication Engineering Certification: MCSE: Data Management and Analytics, MCSA: SQL 2016 BI Development CompTIA Data+ Microsoft Certified: Data Analyst Associate SAS Certified Big Data Professional Interested candidates share your profile at parul@mounttalent.com/ parul.s@mounttalent.com.

We are looking for an innovative Business Analytics - Team Leader to join our growing Mumbai operations base. You will work with a team of well-established operations analysts and will be responsible for generating analytics and insights for India Operations and digital campaign performance reports for high value advertisers. You will work with Business Heads and provide insights for improving operational efficiencies, predict seasonal fluctuations in volumes, identify trend and patterns for informed decision making and red flag areas of opportunity. Responsibilities : Apply statistics and data modelling to gain actionable business insights to drive efficiencies across various functions. Build, develop and maintain data models, reporting systems, data automation, dashboards and reports that support key business decisions. • Communicate and track key performance metrics across departments. Create models and presentations for providing insights on how to improve productivity, better capacity utilization and accurate forecasting. • Work with the existing team of Business Analytics to ensure timely report delivery to onshore and offshore stakeholders. Ensure accuracy of data and deliverables of reporting employees. Help create a culture of data driven decision making within the company Recruit, train and groom analyst level team members. Qualification and Experience: • Bachelors/Masters Degree in Statistics/Analytics, Computer Science or related field. Overall, 7 + years of experience in Business Analytics with 2 to 3 years of experience in managing a team. • Should have exposure to Services Operations. Candidates from BPOs & BFSI verticals will be preferred Exposure to working on Google Analytics/ Website data will be an added advantage Key Competencies and Attributes: Proficient in Microsoft Office Suite, business intelligence tools / software and dashboards like TABLEAU. Strong SQL skills, ability to write/edit/execute queries efficiently involving multiple tables and joins. Good VBA programming skills. Experience and knowledge of statistical modeling techniques. Strong problem-solving, quantitative, and analytical abilities. • Strong written and verbal communication skills. A creative and conceptual thinker with the ability to develop innovative strategies to meet aggressive goals. • Excellent time and project management skills - Creativity, teamwork, and strong attention to detail. Ability to drive and motivate the team to excel. Shift timings 9.30 to 6.30 (Monday to Friday, 1 Saturday will be working) Location – Goregaon

About VOIS: VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group's partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India: In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Description Role purpose: Creating detailed data architecture documentation, including data models, data flow diagrams, and technical specifications Creating and maintaining data models for databases, data warehouses, and data lakes, defining relationships between data entities to optimize data retrieval and analysis. Designing and implementing data pipelines to integrate data from multiple sources, ensuring data consistency and quality across systems. Collaborating with business stakeholders to define the overall data strategy, aligning data needs with business requirements. Support migration of new & changed software, elaborate and perform production checks Need to effectively communicate complex data concepts to both technical and non-technical stakeholders. GCP Knowledge/exp with Cloud Composer, BigQuery, Pub/Sub, Cloud Functions. -- Strong communicator, experienced in leading & negotiating decision and effective outcomes. -- Strong overarching Data Architecture knowledge and experience with ability to govern application of architecture principles within projects VOIS Equal Opportunity Employer Commitment India: VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we'll be in touch!

Role Summary: We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques. Key Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop analytics dashboards KPI reporting for different verticals Acquire data from primary or secondary data sources and maintain databases/data systems. Work with different departments on their data visualization and analysis needs Taking out meaningful insights from the data Desired Skill & Requirements Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R). Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Good written and verbal communication skills. Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis Ability to work with large amounts of data Experience : 1 to 3 years of relevant experience in data analysis. Should have 2 years of experience in SQL. Product Company background and startup experience is a plus. Education : A full time Bachelors degree from a recognised university.

As a member of the team, you will gain satisfaction though adding value and contributing to the team s initiatives. You will: Develop communication and reference materials that enable data consumers and producers to improve data quality and implement the data governance policy Provide guidance and training on how to plan implementation of requirements set forth by the policy Provide data quality analytics that enable data consumers and producers to drive remediation efforts Work with data consumers and producers to negotiate ownership of data Create lineage graphs to show how data moves from point of entry to where it is used Define and create appropriate data validation controls Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases Build consensus across senior stakeholders Partner closely with stakeholders to define and evolve firmwide data governance strategy Communicate progress to senior stakeholders and within the team Test and monitor data quality controls You will have the potential to Grow your understanding of data and the underlying businesses that use it Develop business, data analysis and relationship management skills Contribute to progressing the data strategy at Goldman Sachs Why join the team Interpersonal Communication: You ll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm s clients. Creativity: You ll be encouraged to suggest improvements to products and to propose ways, in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. The Responsibilities and Requirements Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Having developed an effective training and testing strategy is helpful. Responsibilities Play a central role in defining the strategic direction for Asset & Wealth Management in data initiatives Document Data Lineage from source to reporting Lead and participate in working groups to improve data quality and ease of access to information Help promote the data governance framework and drive adoption across all of the division Interface and coordinate with project team(s) to define objectives, develop approaches, create detailed schedules, provide status updates and prepare deliverables for projects Partner with stakeholders to ensure user tools meet for analyzing data meet user s needs Stakeholder management /sponsors and users of all levels Test and monitor data quality controls Basic Requirements Bachelor s degree 5+ years of relevant hands-on data governance, data quality, or data management experience Sufficient knowledge and the ability to run queries and participate in data analysis Proficiency in SQL, MS Excel, Data visualization tools, and Data Models Highly organized with exceptional communication, negotiation and influencing skills Relationship management: effectively partner with stakeholders with a focus on end-client value Knowledge of data warehousing and the development of physical and logical models Extremely proactive and works well in a collaborative environment Exceptional attention to detail and analytical thinking Ability to effectively communicate and present results highlighting the broader strategic impact Preferred Qualifications Experience of data governance or data management Prior experience in financial services industry Advanced proficiency in SQL, MS Excel, Data visualization tools, and Data Models May have a software engineering background (not required)

Key Responsibilities: Should have experience in below Design, develop, and implement a Data Lake House architecture on AWS, ensuring scalability, flexibility, and performance. Build ETL/ELT pipelines for ingesting, transforming, and processing structured and unstructured data. Collaborate with cross-functional teams to gather data requirements and deliver data solutions aligned with business needs. Develop and manage data models, schemas, and data lakes for analytics, reporting, and BI purposes. Implement data governance practices, ensuring data quality, security, and compliance. Perform data integration between on-premise and cloud systems using AWS services. Monitor and troubleshoot data pipelines and infrastructure for reliability and scalability. Skills and Qualifications: 7 + years of experience in data engineering, with a focus on cloud data platforms. Strong experience with AWS services: S3, Glue, Redshift, Athena, Lambda, IAM, RDS, and EC2. Hands-on experience in building data lakes, data warehouses, and lake house architectures. Should have experience in ETL/ELT pipelines using tools like AWS Glue, Apache Spark, or similar. Expertise in SQL and Python or Java for data processing and transformations. Familiarity with data modeling and schema design in cloud environments. Understanding of data security and governance practices, including IAM policies and data encryption. Experience with big data technologies (e.g., Hadoop, Spark) and data streaming services (e.g., Kinesis, Kafka). Have lending domain knowledge will be added advantage Preferred Skills: Experience with Databricks or similar platforms for data engineering. Familiarity with DevOps practices for deploying data solutions on AWS (CI/CD pipelines). Knowledge of API integration and cloud data migration strategies.

What you will do In this vital role you will as a MuleSoft developer be a member of the MyAmgen Product Team, responsible for crafting efficient, scalable, and high-quality integration solutions by applying Mulesoft development standard processes. This role involves designing and implementing modular solutions that deliver incremental business value, optimizing existing code, and working closely with the development lead and architect to ensure alignment with the architecture runway and strategic goals. The developer collaborates with multi-functional teams to ensure solutions meet business requirements, adhere to established development guidelines, and maintain consistency throughout the lifecycle. Additionally, this role requires performing tasks within Agile sprint cycles, meeting definitions of done, and delivering planned value. The developer is also responsible for testing, validating, and refining both individual and team contributions to ensure the quality and functionality of delivered solutions. This position calls for a proactive problem solver with deep technical expertise, a collaborative attitude, and a focus on delivering impactful results. Roles & Responsibilities: Apply Mulesoft development standard processes to build efficient, scalable, and high-quality integration solutions. Follow development guidelines and standards established by the dev lead, product team, and platform teams to ensure consistency, compliance, and alignment. Design and implement modular solutions that deliver incremental business value while adhering to overall project goals and architectural principles. Improve and optimize existing code, collaborating with the dev lead and architect to align solutions with the architecture runway and strategic objectives. Ensure solutions meet business requirements by effectively communicating and collaborating with team members throughout the development process. Implement tasks aligned with definitions of done and deliver planned value during each sprint, adhering to Agile methodologies. Test, validate, and refine individual contributions and team work to maintain the quality and functionality of integration solutions. Create and update documentation accurately describing software functionality What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a type of person with these qualifications. Basic Qualifications: Masters degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Must-Have Skills : Proficiency in Mulesoft development standard processes to create efficient, scalable, and high-quality integration solutions Experience using Java programming within Mulesoft Experience integrating Mulesoft solutions with external platforms and data sources such as Salesforce, AWS or Azure Experience in utilizing source control systems such as GIT to manage Mulesoft code and configuration

What you will do In this vital role you will as a MuleSoft developer be a member of the MyAmgen Product Team, responsible for crafting efficient, scalable, and high-quality integration solutions by applying Mulesoft development standard processes. This role involves designing and implementing modular solutions that deliver incremental business value, optimizing existing code, and working closely with the development lead and architect to ensure alignment with the architecture runway and strategic goals. The developer collaborates with multi-functional teams to ensure solutions meet business requirements, adhere to established development guidelines, and maintain consistency throughout the lifecycle. Additionally, this role requires performing tasks within Agile sprint cycles, meeting definitions of done, and delivering planned value. The developer is also responsible for testing, validating, and refining both individual and team contributions to ensure the quality and functionality of delivered solutions. This position calls for a proactive problem solver with deep technical expertise, a collaborative attitude, and a focus on delivering impactful results. Roles & Responsibilities: Apply Mulesoft development standard processes to build efficient, scalable, and high-quality integration solutions. Follow development guidelines and standards established by the dev lead, product team, and platform teams to ensure consistency, compliance, and alignment. Design and implement modular solutions that deliver incremental business value while adhering to overall project goals and architectural principles. Improve and optimize existing code, collaborating with the dev lead and architect to align solutions with the architecture runway and strategic objectives. Ensure solutions meet business requirements by effectively communicating and collaborating with team members throughout the development process. Implement tasks aligned with definitions of done and deliver planned value during each sprint, adhering to Agile methodologies. Test, validate, and refine individual contributions and team work to maintain the quality and functionality of integration solutions. Create and update documentation accurately describing software functionality What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a type of person with these qualifications. Basic Qualifications: Masters degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills : Proficiency in Mulesoft development standard processes to create efficient, scalable, and high-quality integration solutions Experience using Java programming within Mulesoft Experience integrating Mulesoft solutions with external platforms and data sources such as Salesforce, AWS or Azure Experience in utilizing source control systems such as GIT to manage Mulesoft code and configuration Good-to-Have Skills: Experience in testing, validating, and refining deliverables to maintain the quality and functionality of integration solutions Expertise in designing and implementing modular integration solutions that deliver incremental business value and align with overall project goals and architectural principles Experience in optimizing and improving existing code, collaborating with the dev lead and architect to align with the architecture runway and strategic objectives Understanding data models, schema design, and relationships for efficient application functionality in integration solution. Proficiency in modern software engineering practices, such as infrastructure-as-code, automated testing, and modular design principles Skills in analyzing data and creating visualizations to monitor execution metrics and integration performance Knowledge of Agile methodologies, including the ability to execute tasks aligned with definitions of done and deliver planned value in each sprint Professional Certifications: Mulesoft Certified Developer Soft Skills: Strong critical-thinking and problem-solving skills Ability to communicate and collaborate effectively Proven awareness of how to function in a team setting

Job Title: Adobe Campaign Developer Experience Level P1, C1, STS (At least 5+ years of experience) Key Responsibilities As an Adobe Campaign Developer, you will: Campaign & Workflow Development: Design, develop, and implement complex marketing workflows in Adobe Campaign Classic (v8) to automate marketing processes and customer journeys. Campaign Execution & Management: Configure and manage campaign execution, including audience segmentation, personalization, and delivery across various channels (email, SMS, direct mail, etc.). System Integrations: Develop and maintain integrations between Adobe Campaign and other systems (CRM, AEP, analytics platforms, data warehouses, third-party marketing technologies) using APIs and other integration methods. Data Model & Schema Management: Understand and work with Adobe Campaign schemas and the underlying data model to ensure data integrity and effective targeting. Troubleshooting & Resolution: Troubleshoot and resolve issues related to campaign execution, data integration, and platform performance. Requirements Translation: Collaborate with marketing teams to understand their requirements and translate them into technical solutions within Adobe Campaign. Documentation: Develop and maintain technical documentation related to campaign workflows, integrations, and configurations. Platform Enhancement: Participate in the planning and execution of platform upgrades and enhancements. Compliance: Ensure compliance with data privacy regulations and best practices. Continuous Learning: Stay up-to-date with the latest features and best practices within Adobe Campaign. Mandatory Skills & Experience Technical Proficiency: Adobe Campaign Classic (v8): Deep understanding of the Adobe Campaign platform, including complex workflow development, data models, and API interactions. Workflow Design: Proven ability to design, develop, and implement complex marketing workflows to automate processes and customer journeys. Campaign Configuration: Experience configuring and managing campaign execution, audience segmentation, personalization, and cross-channel delivery. Integration Expertise: Strong technical proficiency in developing and maintaining integrations with CRM, AEP, analytics platforms, data warehouses, and third-party systems using APIs. Data Models: Understanding of Adobe Campaign schemas and underlying data models for data integrity and targeting. Troubleshooting: Ability to troubleshoot and resolve issues related to campaign execution, data integration, and platform performance. Documentation: Experience in developing and maintaining technical documentation for workflows, integrations, and configurations. Adobe Journey Optimizer (AJO): Experience with AJO is a significant plus. Experience & Qualifications: At least 5+ years of experience as an Adobe Campaign Developer or a similar role. Proven responsibility for the development, implementation, and maintenance of complex marketing campaigns and workflows within Adobe Campaign Classic (version 8). Essential Professional Skills Ability to collaborate effectively with marketing teams to translate requirements into technical solutions. Commitment to staying up-to-date with latest features and best practices . Attention to data privacy regulations and best practices .

Portfolio Management Office (PMO) Specialist We are seeking a highly analytical and detail-oriented Portfolio Management Office (PMO) Specialist with 7-9 years of experience, including at least 6 years in a core PMO role. The ideal candidate will possess strong financial acumen, exceptional analytical skills, and mandatory expertise in Power BI, financial reporting, and Advanced Excel. This role is critical for providing insightful data analysis, supporting project managers, and developing comprehensive portfolio reports. Excellent communication, strong organizational skills, and the ability to work with ambiguous data are key. This is a Work-from-Office (WFO) position in Hyderabad. Candidates are expected to be immediate to 15-day joiners. A Power BI skill test will be administered in the office post R1 interview. Roles and Responsibilities Provide robust analytical support within the core PMO function, focusing on portfolio performance, trends, and anomalies in forecast and actuals data. Prepare comprehensive multi-project reports and dashboards, leveraging Power BI for compelling visualizations and insights. Manage exception reports and proactively follow up with individual project managers to ensure timely resolution of issues and variances. Analyze complex data to identify trends, themes, and variances, supporting project managers in understanding deviations and taking appropriate countermeasures. Develop and maintain sophisticated financial reports, demonstrating sound financial acumen and attention to detail. Utilize Advanced Excel extensively for data manipulation, analysis, and reporting. Contribute to a well-structured and organized PMO environment, adapting quickly to changing priorities and managing ambiguity effectively. Collaborate with business stakeholders and project teams, fostering confidence through excellent verbal and written communication. Mandatory Qualifications 7-9 years of total experience, with at least 6 years in a core PMO role. Mandatory experience in Power BI, Financial Reporting, and Advanced Excel. Strong analytical skills with the ability to spot patterns, trends, and anomalies in data. Sound financial acumen and a keen eye for detail; must be good with numbers. Excellent verbal and written communication skills that inspire confidence in business stakeholders and the team. Very well structured, organized, and adaptable to changing priorities. Ability to rapidly understand ambiguous and complex concepts. Flexibility to attend an in-office Power BI skill test in Hyderabad post the R1 interview. Availability to join immediately or within 15 days. Preferred Qualifications Bachelor's Degree in a technical field, Finance, or Business Administration. Good Power BI skills, including the ability to understand the Data Model and develop reports effectively. Prior working knowledge of finance in past experiences. Experience in performing detailed analysis and staying updated with trends. (Note: This role is NOT for a Resource Manager or a Scrum Master).

Key Responsibilities: Lead the design, development, and implementation of BI solutions, including dashboards, KPIs, and performance metrics. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Manage and mentor a team of BI analysts and developers. Ensure data accuracy, consistency, and accessibility across all business units. Develop and maintain data models, reporting systems, data automation tools, and data visualization platforms (e.g., Power BI, Tableau). Drive the adoption of BI tools and data-driven decision-making throughout the organization. Monitor and optimize BI performance and scalability.

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 the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. 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.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. 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 Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

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 the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. 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.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. 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 Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

Responsibilities Solution Design: Develop high-level and low-level solution designs, including system diagrams, data models, and integration patterns. Technical Guidance: Provide technical guidance to development teams, ensuring adherence to Salesforce best practices and coding standards. Stakeholder Communication: Communicate design overviews to various stakeholders, including business and technical audiences. Data Management: Architect and implement robust data models, including data migration strategies, data sharing, and data privacy considerations. Integration: Design and implement integrations between Salesforce and other systems. Performance Optimization: Ensure the Salesforce solution is scalable, performant, and meets the needs of the business. Security: Implement and maintain secure access controls and data protection measures. Compliance: Ensure compliance with relevant regulations and standards. Environment Management: Manage Salesforce environments, including release management, deployment processes, and DevOps practices. Technical Leadership: Lead technical teams and mentor junior developers. Experience Requirements More than 10 years of work experience in Salesforce development projects (Service Cloud, Sales Cloud, etc.). Minimum 4-5 years of hands-on architect experience. Extensive experience in designing and developing complex and scalable Salesforce architecture. Experience in identifying architecture risks and conducting analysis during the discovery phase. Experience in technical proposals: Analyzing the technological risk of the project, estimates, identifying suitable profiles. Strategic vision of the Salesforce platform and its environment. Technical leadership on the Salesforce platform and products. Expert in various areas of integrations with other products. English Advanced

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 the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Research domain of the biopharma lifecycle. 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.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. 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 Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

Grade / Level III Division / Department- Information Technology Job Purpose Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Lead the Analytics track for Project e-Parivartan which comprises of approx. 35 dashboards, 200 KPIs, 120 personas, Build up the 5 yrs Data Analytics track in consultation with relevant stakeholders with a vision of making the organization a Data Driven Organisation, Identify the use cases around AI/ ML Video Analytics and Natural language Processing on the CCTV footages for identification and automatic alerts for safety violation (Fire hazard, PPE .) Skills and academic qualifications Functional Skills Functional Skills Required - Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning Technical Skills required - Min 12 Months Data Science Program; Project Management (PMP, PRINCE); Certifications in any of the below domains: Statistics and machine learning, coding languages C, C++, Java Script, Databases: R, Python, SLQ, etc.

Your Impact Deliver and design new features for Control Management and Implementation Collaborate with cross-functional teamsof Risk Managers and Control Managersto gather requirements and define technical solutions Design, develop and maintain complex software systems and applications Implement and maintain best practices for software development and engineering processes Develop and maintain software documentation, including design specifications, user guides and manuals Ensure the reliability, scalability, and performance of software systems Troubleshoot and debug complex software issues Collaborate with engineering leadership, developers, and operations through written and verbal presentations. Lead and participate in technical architecture reviews Mentor and coach junior engineers Basic Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, or related field 3+ years of experience in software development and engineering Working knowledge of Java & React Solid understanding of software engineering principles, algorithms, and data structures Experience in developing large-scale, highly available, and distributed systems Experience in designing and implementing RESTful APIs and web services Strong problem-solving and analytical skills Strong communication and collaboration skills Experience with Agile software development methodologies Experience formulating clear and concise written and verbal descriptions of Software and Systems and tracking and managing delivery of the same Preferred Qualifications Experience with Big data/Apache Spark/Apache Nifi. Experience in the financial services industry.

How You Will Fulfill Your Potential As a member of the team, you will gain satisfaction though adding value and contributing to the team's initiatives. You will: Develop communication and reference materials that enable data consumers and producers to improve data quality and implement the data governance policy Provide guidance and training on how to plan implementation of requirements set forth by the policy Provide data quality analytics that enable data consumers and producers to drive remediation efforts Work with data consumers and producers to negotiate ownership of data Create lineage graphs to show how data moves from point of entry to where it is used Define and create appropriate data validation controls Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases Build consensus across senior stakeholders Partner closely with stakeholders to define and evolve firmwide data governance strategy Communicate progress to senior stakeholders and within the team Test and monitor data quality controls You will have the potential to Grow your understanding of data and the underlying businesses that use it Develop business, data analysis and relationship management skills Contribute to progressing the data strategy at Goldman Sachs Why join the team Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways, in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Having developed an effective training and testing strategy is helpful. Responsibilities Play a central role in defining the strategic direction for Asset & Wealth Management in data initiatives Document Data Lineage from source to reporting Lead and participate in working groups to improve data quality and ease of access to information Help promote the data governance framework and drive adoption across all of the division Interface and coordinate with project team(s) to define objectives, develop approaches, create detailed schedules, provide status updates and prepare deliverables for projects Partner with stakeholders to ensure user tools meet for analyzing data meet user's needs Stakeholder management /sponsors and users of all levels Test and monitor data quality controls Basic Requirements Bachelor's degree 2-5 years of relevant hands-on data governance, data quality, or data management experience Sufficient knowledge and the ability to run queries and participate in data analysis Proficiency in SQL, MS Excel, Data visualization tools, and Data Models Highly organized with exceptional communication, negotiation and influencing skills Relationship management: effectively partner with stakeholders with a focus on end-client value Knowledge of data warehousing and the development of physical and logical models Extremely proactive and works well in a collaborative environment Exceptional attention to detail and analytical thinking Ability to effectively communicate and present results highlighting the broader strategic impact Preferred Qualifications Experience of data governance or data management Prior experience in financial services industry Advanced proficiency in SQL, MS Excel, Data visualization tools, and Data Models May have a software engineering background (not required)

Here's an overview of the Power BI and SQL Expert role at Re:Sources in Hyderabad, Telangana, India: Company Description Re:Sources serves as the backbone of Publicis Groupe, currently the world's third-largest communications group . Established in 1998, Re:Sources has expanded to over 5,000 professionals, providing comprehensive technology solutions and business servicesincluding finance, accounting, legal, benefits, procurement, tax, real estate, treasury, and risk managementto a global network of prestigious advertising, public relations, media, healthcare, and digital marketing agencies. Their core mission is to empower Publicis Groupe agencies to excel in creation and innovation for their clients. Beyond essential daily services, Re:Sources continually develops and implements platforms, applications, and tools to boost productivity, encourage collaboration, and facilitate professional and personal development. They maintain a continuous transformation mindset to keep pace with the ever-changing communications industry, driven by a global spirit of innovation, which enables Publicis Groupe agencies to consistently deliver award-winning campaigns. Overview: Expert in Power BI and SQL Re:Sources is seeking an individual with deep expertise in Power BI and SQL to join their team. This role focuses on leveraging data visualization best practices to design, develop, test, and deploy insightful Power BI reports and dashboards. You will work closely with clients to ensure their reporting needs are met and contribute to maintaining the quality and functionality of data visualizations. Responsibilities As an Expert in Power BI and SQL, you will: Possess deep knowledge of Power BI and data visualization best practices . Design, develop, test, and deploy Power BI Reports . Work with clients to generate and maintain visually appealing and insightful reports . Create custom visualizations and implement row-level security on data . Build data models and develop dashboards using Power BI desktop. Develop tabular and multidimensional models that are compatible with warehouse standards. Collaborate with application developers to design and develop Power BI data visualizations. Use advanced level calculations on the data set using DAX functions in Power BI . Test formulas and visualizations to ensure their functionality. Preferred domain experience includes Financial and Workforce data. Qualifications The candidate should be a graduate .

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

We are seeking a skilled SAP SuccessFactors Employee Central Consultant for the B03 project . The ideal candidate will have hands-on experience in configuring and supporting SAP SuccessFactors Employee Central , with a strong understanding of core HR processes and SuccessFactors integration. Roles & Responsibilities: Implement and configure SAP SuccessFactors Employee Central (EC) to meet client-specific requirements. Gather and analyze business requirements, design business processes, and translate them into system configurations. Perform system configuration , data modeling , workflow setup , and role-based permissions within EC. Manage employee lifecycle events , organizational structures, and position management. Support data migration and validation activities using Import tools and Employee Central Data Models . Coordinate with technical teams for integrations with third-party and SAP systems (e.g., SAP HCM, Payroll, Time, Benefits). Conduct system testing , including unit, integration, and user acceptance testing. Provide user training , prepare documentation, and support change management. Stay current with SuccessFactors quarterly releases and apply relevant updates. Collaborate with cross-functional teams to ensure end-to-end solution delivery. Mandatory Skills: Strong expertise in SAP SuccessFactors Employee Central configuration and implementation. Proficiency in data models (Corporate Data Model, Succession Data Model, Country-Specific Data Model). Experience with Foundation Objects , Business Rules , Event Reason Derivations , and Workflows . Familiarity with Role-Based Permissions (RBP) and Picklists . Knowledge of Data Import/Export tools and admin center functionalities . Preferred Skills: Experience integrating EC with SAP HCM (Hybrid model) or SuccessFactors modules like Recruiting, Onboarding, Time Off, and Payroll . Exposure to SAP Integration Center , SAP CPI (Cloud Platform Integration) , and API-based integrations . SAP SuccessFactors Employee Central Certification is preferred. Experience working on multi-country rollouts and localization requirements.

We are seeking a skilled SAP SuccessFactors Employee Central Consultant for the B03 project . The ideal candidate will have hands-on experience in configuring and supporting SAP SuccessFactors Employee Central , with a strong understanding of core HR processes and SuccessFactors integration. Roles & Responsibilities: Implement and configure SAP SuccessFactors Employee Central (EC) to meet client-specific requirements. Gather and analyze business requirements, design business processes, and translate them into system configurations. Perform system configuration , data modeling , workflow setup , and role-based permissions within EC. Manage employee lifecycle events , organizational structures, and position management. Support data migration and validation activities using Import tools and Employee Central Data Models . Coordinate with technical teams for integrations with third-party and SAP systems (e.g., SAP HCM, Payroll, Time, Benefits). Conduct system testing , including unit, integration, and user acceptance testing. Provide user training , prepare documentation, and support change management. Stay current with SuccessFactors quarterly releases and apply relevant updates. Collaborate with cross-functional teams to ensure end-to-end solution delivery. Mandatory Skills: Strong expertise in SAP SuccessFactors Employee Central configuration and implementation. Proficiency in data models (Corporate Data Model, Succession Data Model, Country-Specific Data Model). Experience with Foundation Objects , Business Rules , Event Reason Derivations , and Workflows . Familiarity with Role-Based Permissions (RBP) and Picklists . Knowledge of Data Import/Export tools and admin center functionalities . Preferred Skills: Experience integrating EC with SAP HCM (Hybrid model) or SuccessFactors modules like Recruiting, Onboarding, Time Off, and Payroll . Exposure to SAP Integration Center , SAP CPI (Cloud Platform Integration) , and API-based integrations . SAP SuccessFactors Employee Central Certification is preferred. Experience working on multi-country rollouts and localization requirements.

Job Type: Full time Location: India , Remote,Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad Job Description Roles and Responsibilities Formulate automated reports and dashboards using Power BI and other reporting tools. Understand business requirements to set functional specifications for reporting applications. You should be familiar with SSRS and TSQL, Power Query, MDX, PowerBI, and DAX are just a few of the tools and systems on the MS SQL Server BI Stack. Exhibit a foundational understanding of database concepts such relational database architecture, multidimensional database design, and more Design data models that transform raw data into insightful knowledge by understanding business requirements in the context of BI. Develop technical specifications from business needs, and choose a deadline for work completion. Make charts and data documentation that includes descriptions of the techniques, parameters, models, and relationships. Developing Power BI desktop to create dashboards, KPI scorecards, and visual reports. Establish row-level security on data and comprehend Power BI's application security layer models. Examine, comprehend, and study business needs as they relate to business intelligence. Design and map data models to transform raw data into insightful information. Create dynamic and eye-catching dashboards and reports using Power BI. Make necessary tactical and technological adjustments to enhance current business intelligence systems Integrate data, alter data, and connect to data sources for business intelligence. Requirements And Skills Extremely good communication skills are necessary to effectively explain the requirements between both internal teams and client teams. Exceptional analytical thinking skills for converting data into illuminating reports and reports. BS in computer science or information system along with work experience in a related field knowledge of data warehousing, data gateway, and data preparation projects Working knowledge of Power BI, SSAS, SSRS, and SSIS components of the Microsoft Business Intelligence Stack Articulating, representing, and analyzing solutions with the team while documenting, creating, and modeling them Familiarity with the tools and technologies used by the Microsoft SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX. Knowledge of executing DAX queries on the Power BI desktop Comprehensive understanding of data modeling, administration, and visualization Capacity to perform in an atmosphere where agility and continual development are prioritized Detailed knowledge and understanding of database management systems, OLAP, and the ETL (Extract, Transform, Load) framework Awareness of BI technologies (e.g., Microsoft Power BI, Oracle BI) Expertise of SQL queries, SSRS, and SQL Server Integration Services (SSIS)