2167 Data Collection Jobs - Page 14

Key Responsibilities: Routine Inspections and Maintenance: Conduct regular inspections to identify and address potential issues. Execute routine preventive maintenance procedures on solar equipment. Troubleshooting and Repairs: Identify and troubleshoot faults in solar panels, inverters, wiring, and related components. Data Collection and Reporting: Utilize monitoring systems to collect data on system performance. Emergency Response: Respond promptly to system failures or emergencies to minimize downtime. Documentation: Maintain accurate records of maintenance activities, repairs, and equipment history. Collaboration: Communicate effectively with team members and report issues as necessary. Health and Safety: Adhere to safety protocols and guidelines during all maintenance activities. Promote and maintain a culture of safety within the team and on-site.

A highly motivated and analytical Pharma Competitive Intelligence professional to join our growing team. You will be responsible for delivering timely, accurate, and actionable insights to support strategic business decisions, managing competitor monitoring projects, and producing in-depth market and competitive landscape reports. The ideal candidate should demonstrate strong cross-functional collaboration, clear communication, and the ability to work independently in a fast-paced, global environment. This is a critical role requiring immediate impact and deep CI expertise, along with a forward-looking mindset to leverage AI tools that enhance research workflows, accelerate insight generation, and improve overall efficiency. Key Responsibilities: Independently develop and deliver in depth, comprehensive CI deliverables including periodic monitoring, indication-based pipeline landscapes, competitor asset profiles, market landscapes, key event trackers, competitor approval timelines, conference coverage, newsletters etc. Analyze and triangulate information from multiple secondary data sources and propriety databases such as TrialTrove, PharmaProjects, Cortellis, Evaluate, DRG, AlphaSense, and more to deliver holistic competitor profiles and landscape assessments Develop client- ready outputs (slides or documents) with the best suited data synthesis and convincing visualization to convey key messages while maintaining rigorous quality checks on insights and outputs to ensure data accuracy and relevance Manage multiple CI projects under tight timelines interfacing with global clientele and prioritize requests based on the criticality and client expectations and strategic priorities Leverage advanced tools and innovative methods, including AI to enhance data collection, accelerate analysis, and improve efficiency and impact of deliverables by thinking beyond traditional approaches Understand business context about key client assets and competitor dynamics to monitor KITs/KIQs, and develop meaningful insights and recommendations from diverse data sources What You Bring: Experience: 4-6 years experience in competitive intelligence in pharmaceutical or life sciences industry Functional Skills: In-depth understanding of global pharmaceutical markets across development stages early pipeline, pre-launch, and marketed products including clinical development processes, regulatory pathways, and commercial considerations Strong experience in working with pharmaceutical databases including (but not limited to) BioMed tracker, PharmaProjects, Trial trove, IQVIA, Cortellis, Evaluate, DRG, AlphaSense Past experience of contributing to projects in but not limited to market landscaping, product/asset profiling, competitor benchmarking, pipeline assessments, conference monitoring, and triangulating data from multiple sources Proficient in Microsoft Office tools (PowerPoint, Excel, Word); ability to create compelling, insightful, and client-ready deliverables presentations and reports Awareness of and curiosity about AI/ML tools and their potential applications in CI workflows Behavioral Skills: High learning agility and a proactive mindset Resilient and adaptable in a dynamic, fast-paced work environment Team player with leadership potential, willing to take ownership and contribute to collective success Strong collaboration and interpersonal skills and work independently within a global and multicultural team (both virtual and in-person) Effective communication and articulation skills, ability to convey complex insights in a structured and impactful manner Strategic thinking to connect dots across data sets with attention to detail Good organizational, time management and priority setting skills, and the flexibility to multi-task Preferred Qualifications: Educational Qualifications: PhD/Masters Degree in Life Sciences. MBA from reputed institutes.

Project Manager Geospatial Division Key Responsibilities Project Management Technical Expertise Team Leadership Client and Stakeholder Engagement Research and Innovation Data Management Qualification and Skills. Master degree in Geoinformatics, geography, Environment Science, Civil Eng or related field 4-5 years of experience in geospatial technologies, GIS, remote sensing, Utility GIS, Municipal GIS Proficiency in remote sensing and GIS software - Open source and proprietary software, QGIS Experience with GPS, UAV/drones for geospatial data collection. Strong analytical, problem-solving, and decision-making skills with multi-tasking capabilities Proven experience in managing teams and leading projects and client sites. Excellent communication skills (verbal and written) and stakeholder management experience. knowledge of web GIS platforms, cloud-based GIS solutions, and spatial data infrastructure is a plus. ",

Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service. Job summary As a Client Data Manager II within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience. Job responsibilities Perform day to day management of a team, including coaching and providing ongoing performance feedback. Track performance of individual team members over time to evaluate performance, learning and capability. Effectively address any service issues that might be escalated by either internal or external customers. Take action independently and move forward without clear instruction or close supervision. Make decisions that are effective and well-grounded based on data, insight, and experience. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Organize workflow and distribute work appropriately. Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement. Required qualifications, capabilities, and skills Demonstrated ability to develop, manage, coach, and motivate teams. Must be flexible and adaptable to manage interim projects and processes based on the business requirements. Knowledge of banking products. Proven leader of process and organizational change. Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing. Strong communication and presentation skills. Ability to cope with change; comfort with ambiguity. Preferred qualifications, capabilities, and skills Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage. Competent in mainframe and PC based systems, with a strong proficiency in MS Office. Previous people manager experience of high performing team. Enables thought leadership and a team who are risk aware, empowered, and feel accountable to drive best in class service. Job summary As a Client Data Manager II within the Operations team, you will be responsible for reviewing and improving data collection and verification processes, ensuring the accuracy and completeness of KYC records before they are reviewed by the client-facing team. Your advanced organizational skills will be crucial in managing multiple tasks and activities, while your proficiency in digital and tech literacy will help you leverage software applications and digital platforms to enhance processes and client experience. Job responsibilities Perform day to day management of a team, including coaching and providing ongoing performance feedback. Track performance of individual team members over time to evaluate performance, learning and capability. Effectively address any service issues that might be escalated by either internal or external customers. Take action independently and move forward without clear instruction or close supervision. Make decisions that are effective and well-grounded based on data, insight, and experience. Create an effective and efficient team through continuous communication, timely feedback, and appropriate supervisory practices. Organize workflow and distribute work appropriately. Support all aspects of client onboarding to include the fulfillment of AML and KYC requirement. Required qualifications, capabilities, and skills Demonstrated ability to develop, manage, coach, and motivate teams. Must be flexible and adaptable to manage interim projects and processes based on the business requirements. Knowledge of banking products. Proven leader of process and organizational change. Demonstrated ability to identify, analyze, plan, prioritize, and solve problems, by providing viable solutions and executing. Strong communication and presentation skills. Ability to cope with change; comfort with ambiguity. Preferred qualifications, capabilities, and skills Previous experience in AML, Compliance, Fraud, KYC, or Operational Risk an advantage. Competent in mainframe and PC based systems, with a strong proficiency in MS Office. Previous people manager experience of high performing team.

As a Computer Operator in this role, you will be responsible for handling tele calls, assisting in office tasks, and collecting data efficiently. This is a full-time position with a day shift schedule, and the opportunity for a performance bonus based on your work. Proficiency in English is required for effective communication in this role. The work location for this position is in person.,

As a Controller at our firm, you will play a pivotal role in ensuring that the financial control and reporting obligations of our global, regulated, and public financial institution are met. Your responsibilities will include measuring the profitability and risks associated with various aspects of the firm's business, as well as ensuring that all activities are conducted in compliance with the regulations governing transactions in the financial markets. Being a part of the Controllers group means safeguarding the firm's assets and maintaining the integrity of Goldman Sachs" finances and expenditures. Through careful consideration and analysis of firm finances, objectives, and strategies, you will contribute to the profitability and efficiency of the firm's businesses. Controllers are also responsible for ensuring that all business practices are in compliance with financial and regulatory requirements worldwide. In this role, you will be part of a dynamic global team focused on submitting quality filings with global regulators on a recurring basis. Your contributions are vital to the team's objectives, and you will be expected to make the filing process more efficient and effective by implementing recommendations. Collaboration with different trading desks, functional datasets, and regulations will be key, and you will need to maintain stakeholder relationships for each area of responsibility. As a subject matter expert, you will interact directly with portfolio managers and COOs to review and approve reports before submission, as well as assist in investigating data quality and resolving issues at the source. Additionally, you will work on enhancing the AWM reporting framework, collaborating with various teams to implement complex calculation and reporting rules around portfolio exposures and risks metrics. Your role will also involve partnering with legal and compliance teams to provide recommendations for new or evolving regulatory requirements, as well as communicating with senior management across businesses and divisions to build consensus and provide thought leadership. Oversight of vendors and data providers related to data collection and filing production will also be part of your responsibilities. To be successful in this role, you must hold a CA degree qualification and have 2-6 years of relevant work experience in asset management regulatory/compliance or asset management fund controller roles. Preferred qualifications include knowledge and experience working with various financial products, a good understanding of technology implementation, and an awareness of the changing global regulatory landscape. As a valued member of our team, you will have the opportunity to work independently while also being a team player with excellent communication, analytical, and project management skills. Your strong execution skills, attention to detail, and control mindset will be essential in fulfilling your responsibilities effectively. Join us at Goldman Sachs, where we are committed to fostering diversity and inclusion, providing numerous opportunities for professional and personal growth, and ensuring a supportive workplace environment. If you require accommodations during the recruiting process, we are dedicated to finding reasonable solutions for candidates with special needs or disabilities. Goldman Sachs is dedicated to safeguarding the health and well-being of our employees and others who enter our U.S. offices by requiring COVID-19 vaccination for employees working on-site. Accommodation requests based on medical, religious, or applicable law reasons can be made later in the process. Please note that accommodations are determined on a case-by-case basis to ensure a fair and inclusive recruiting process.,

SAP PM EAM Functional Consultant Experience- 10+ Years Location-Pune, Hyderabad, Bangalore ,Chennai, Kolkata (Mode: Hybrid (3 days) Duration – Permanent roll Notice Period - #Immediate to 30 days

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. We are inviting applications for the role of PA, Customer Service In this role, you will be responsible to demonstrate innovation and intuition in identifying areas requiring operational adaptation and/or improvement. Active user of Internet and online applications. Responsibilities . Respond to customer queries and customers concern . Provide support for data collection to enable Recovery of the account for end user. . Maintain a deep understanding of client process and policies . Reproduce customer issues and escalate product bugs . Provide excellent customer service to our customers . You should be responsible to exhibit capacity for critical thinking and analysis. . Responsible to showcase proven work ethic, with the ability to work well both independently and within the context of a larger collaborative environment Qualifications we seek in you Minimum qualifications . Graduate (Any Discipline) . Freshers are eligible Preferred qualifications . Previous experience in a customer service role chat/email/voice . Effective probing skills and analyzing / understanding skills . Analytical skills with customer centric approach . Excellent proficiency with written English and with neutral English accent . You should be able to work on a flexible schedule (including weekend shift) Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

This Sr Associate Business Analyst will play a pivotal role in optimizing our organization s technical environment through data modeling, visualization, and strategic analysis. This position will focus on designing and delivering data-driven insights to support the Technology Rationalization Team, ensuring informed decision-making and prioritization of efforts. You will work on refining business processes, developing data models, and creating visual reports that guide leadership in optimizing IT investments. Additionally, you will contribute to building a sustainable service model for technology rationalization, ensuring long-term efficiency and cost-effectiveness. Roles & Responsibilities: Develop and maintain data models to support the Technology Rationalization Team in optimizing IT assets. Design and create interactive dashboards and visual reports to communicate insights effectively. Ensure data accuracy, consistency, and integrity across multiple sources. Provide senior leadership with data-driven insights to prioritize IT rationalization efforts. Identify opportunities to improve data collection, processing, and reporting workflows. Support the implementation of best practices in data governance and management. Work closely with technology teams to provide data-backed recommendations for IT asset optimization. Assist in building a scalable and sustainable service model for technology rationalization. Functional Skills: Must-Have Skills (Not more than 3 to 4): Data Modeling & Management - Strong ability to create, maintain, and optimize data models. Data Visualization - Proficiency in tools like Power BI, Tableau, Excel, or similar platforms. Stakeholder Collaboration - Experience working with cross-functional teams to align on data-driven priorities. Good-to-Have Skills: SQL & Database Knowledge - Experience working with relational databases, querying data, and optimizing datasets. Business Process Analysis - Ability to assess and refine business processes for efficiency. Data Storytelling - Capability to translate complex data into actionable insights for leadership. Experience with ServiceNow, especially CMDB, Common Service Data Model (CSDM) and IT Service Management. Experience working in SAFe and/or Agile Teams. Experience with process development/engineering. Professional Certifications : SAFe for Teams certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Able to work under minimal supervision Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Basic Qualifications: Master s degree and 1 to 3 years of Information Security or IT OR Bachelor s degree and 3 to 5 years of Information Security or IT OR Diploma and 7 to 9 years of Information Security or IT experience

The Data Analytics & Automation Sr. Associate will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for completing data collection, aggregation, and report development to support business leaders in tracking key performance measurements and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in creating and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for improvement in execution. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance. A successful candidate will be comfortable completing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. They will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. Responsibilities Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Apply tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity. Complete and implement automation solutions to enhance efficiency and reduce manual effort, bringing to bear tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint. Build and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests. Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to provide actionable insights and drive improvements in execution. Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while finding opportunities for AI-driven process enhancements. Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity. Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency. Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance measurements for Corporate Services leadership. Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives. Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities. Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights Basic Qualifications: Master s degree and 1 to 3 years in Data Analytics, Computer Science, or a related field or & 2 years data analysis, automation or business intelligence experience Bachelor s degree and 3 to 5 years in Data Analytics, Computer Science, or a related field or & 4 years data analysis, automation or business intelligence experience Or Associate s degree and 7 to 9 years in Data Analytics, Computer Science, or a related field & 5 years data analysis, automation or business intelligence experience Preferred Qualifications: Experience with data analytics, reporting tools, and automation solutions. Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau). Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks. Ability to work with large datasets and extract meaningful insights. Proficiency in data analytics and visualization tools Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency. Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics. Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities. Experience working with self-service platforms such as ServiceNow to support business functions and automation. Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems. Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization. Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics. Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts. Proven ability to take initiative and complete projects independently, while effectively collaborating across teams and influencing without direct authority. Strong attention to detail and ability to manage multiple tasks effectively. Strong communication skills, with the ability to present insights clearly to leadership and coordinate cross-functional data requests and updates. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Career Category Safety Job Description The PV Scientist Manager is responsible for the following: Contributes to the planning, preparation, writing and review of non-medical portions of aggregate reports Works with affiliates and other internal Amgen partners regarding deliverables Review of AE/SAEs from clinical trials as needed Contributes under the direction of the Global PV Sr. Scientist or Lead to: Review and provide input and support on study protocols, statistical analysis plans and other clinical study-related documents Review standard design of tables, figures, and listings for safety data from clinical studies Participate in development of safety-related data collection forms for clinical studies Attend study team meetings as requested or needed Conduct signal detection, evaluation, and management Perform data analysis to evaluate safety signals and write up analysis results in collaboration with GSO Prepare safety assessment reports and other safety documents and regulatory responses Search and review adverse event data, literature, and other safety-relevant data for the purpose of signal detection Participates in Safety Governance per Amgen processes Prepare presentation of the Global Safety Team s recommendations on safety issues to the cross-functional decision-making body Assist GSOs and other Senior Scientists in the development of risk management strategy and activities Provides contents for risk management plans Update strategy and content for regional risk management plans Assist GSOs to oversee risk minimization activities including tracking of activities as needed Evaluate risk minimization activity Prepare response to regulatory inquiries related to risk management plans under the guidance of GSO Support activities related to new drug applications and other regulatory filings Assist GSO/ or other Senior Scientist in developing a strategy for safety-related regulatory activities Provide safety contents for filings Performs other duties related to the position as necessary as defined in Standard Operating Procedures or as requested by his/her supervisor Inspection Readiness: Undertake activities delegated by the QPPV as detailed in the PV System Master File and maintain a state of inspection readiness Be representative and point of contact for Health Authority Inspection and Internal Process Audits within the remit of role and responsibility The PV Scientist contributes to GPS in the following ways: Contribute to the development, improvement, and standardization of pharmacovigilance processes and methods Participates on teams for the implementation of new processes and methods within the Therapeutic Area Basic Qualifications and Experience: Master s or Bachelors degree with minimum 9+ years of experience in relevant fields. .

Career Category Safety Job Description The Global Safety Therapeutic Areas serve as the safety experts for all Amgen products globally and are accountable for the safety strategy and major safety deliverables for each Amgen product. Leaders in the therapeutic area safety teams are accountable for the staff management and resource allocations in Global Patient Safety and support GPS in the establishment of a highly effective global safety organization in full compliance to worldwide regulations. The Global PV Sr. Scientist works with the Therapeutic Safety Teams for safety assessment activities for medical/scientific operations. This person will also provide scientific and compliance expertise as needed to GPS. Applicable tasks may vary by product(s) assigned. The Global PV Sr. Scientist is responsible for the following: Directs the planning, preparation, writing and review of portions of aggregate reports Organize and direct liaison for activities with affiliates and other internal Amgen partner regarding products Supports and provides oversight to staff with regards to safety in clinical trials to: Review and provide input and support on study protocols, statistical analysis plans and other clinical study-related documents Review of AEs/SAEs from clinical trials as needed Review standard design of tables, figures, and listings for safety data from clinical studies Participate in development of safety-related data collection forms for clinical studies Participate in study team meetings as requested or needed Signal detection, evaluation, and management- Perform data analysis to evaluate safety signals and write up analysis results Documents work as required in the safety information management system Author Safety Assessment Reports and other safety documents and regulatory responses in collaboration with the GSO Search and review adverse event data, literature, and other safety-relevant data for the purpose of signal detection Prepare presentation of the Global Safety Team s recommendations on safety issues to the cross-functional decision-making body Assist GSO in the development of risk management strategy and activities: Provides contents for risk management plans Develop or update strategy and content for regional risk management plans Assist GSOs to oversee risk minimization activities including tracking of activities as needed. Evaluate risk minimization activity Prepare response to regulatory inquiries related to risk management plans under the guidance of GSO Support activities related to new drug applications and other regulatory filings Assist GSO in developing a strategy for safety-related regulatory activities Provide safety contents for filings Inspection Readiness Undertake activities delegated by the QPPV as detailed in the PV System Master File and maintain a state of inspection readiness Be representative and point of contact for Health Authority Inspection and Internal Process Audits within the remit of role and responsibility Knowledge and Skills Processes and regulations for pharmacovigilance and risk management Drug development and lifecycle management Safety data capture in clinical development and post-market settings Safety database structure and conventions MedDRA and other dictionaries used in pharmacovigilance Methods of qualitative and quantitative safety data analysis Product and disease state knowledge Risk management and risk minimization Inter-relationship across various pharmacovigilance processes and documents, including reference safety information and product labelling Advanced understanding of interfaces across various pharmacovigilance and risk management processes Internal organizational and governance structure Pharmacovigilance skills-intermediate knowledge of the following: Signal detection, evaluation and management Aggregate data analysis, interpretation and synthesis Good clinical and scientific judgment Application of medical concepts and terminology Document writing and source document review Writing Risk Management Plans Ability to convey complex, scientific data in an understandable way Ability to analyze and interpret complex safety data Intermediate skills in application of statistical and epidemiological methods to pharmacovigilance Biomedical Literature-intermediate skills: Literature Surveillance: source document review knowledge and skills Literature search, evaluation and assessment skills-ability to search literature databases to identify safety literature for signal evaluation and assessment, interpretation and synthesis skills Other skills-intermediate skills in the following Organization, prioritization, planning skills Collaboration with cross-functional team settings Meeting management and time management skill Process and project management Critical scientific assessment and problem solving Strong Written and verbal communications skills, including medical/scientific writing Computer skills (e.g., MS Office Suite and safety systems) Strategic thinking Influencing and negotiation in a cross-functional, matrix environment Presentation skills for conveying complex technical contents to non-expert audiences KNOWLEDGE Broad PV knowledge with expertise within defined subject area Applies knowledge and broad understanding of multiple disciplines Understands impact of emerging scientific/technical trends and their implications for Amgen PROBLEM SOLVING Analyzes and forecasts scientific/technical trends Develops solutions to problems through in-depth analysis, coordination and negotiation with key decision makers Performs complex work-flow analysis on processes impacting multiple areas across the organization Adapts and integrates own experience with Amgen-wide strategy Develops innovative solutions to problems without precedent Proposes new processes to achieve strategic business objectives Works in partnership with GPS team to develop business plans that support the direction of the business AUTONOMY Guided by business plans and strategy Executes strategy, goals and changes within area of responsibility Contributes to strategic decisions affecting the discipline Guides ideas through development into a final product CONTRIBUTION Contributes to business results through quality of results, advice and decisions related to the operations of the discipline Designs and develops global processes, systems and/or applications Contributes to organizational through leadership May accomplish business results through leveraging a team of professionals and/or managers Develops mutually beneficial strategic alliances with internal and external contacts Education & Experience (Basic) Doctorate/Master s degree/Bachelor s degree and 12 to 17 years of directly related experience Education & Experience (Preferred) BS or BA in Life Science with a MS and 12 years of related experience And 2 years of managerial experience directly managing people and or leadership experience leading teams, project, programs or directing the allocation of resources Clinical/medical research experience 6 years of experience in a biotech/pharmaceutical/CRO setting Previous management and/or mentoring experience .

Location: Vadodara Type: Full-time / Internship Duration (for interns): Minimum 3 months Stipend/CTC: Based on experience and role About Gururo Gururo is an industry leader in practical, career-transforming education. With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies. Join our fast-paced, mission-driven team and work on AI/ML-powered platforms that impact thousands globally. Who Can Apply Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields, with a strong passion for AI/ML. Freshers: 0 1 years of experience with academic or internship exposure to machine learning projects. Experienced Professionals: 1+ years of hands-on experience in AI/ML roles with a demonstrated portfolio or GitHub contributions. Key Responsibilities Design and develop machine learning models and AI systems for real-world applications Clean, preprocess, and analyze large datasets using Python and relevant libraries Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch Work on NLP, Computer Vision, or Recommendation Systems based on project needs Evaluate models with appropriate metrics and fine-tune for performance Collaborate with product, engineering, and design teams to integrate AI into platforms Maintain documentation, participate in model audits, and ensure ethical AI practices Use version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases) Must-Have Skills Strong Python programming skills Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch) Good understanding of core ML algorithms (classification, regression, clustering, etc.) Familiarity with data wrangling libraries (Pandas, NumPy) and visualization (Matplotlib, Seaborn) Experience working with Jupyter Notebooks and version control (Git) Basic understanding of model evaluation techniques and metrics Good to Have (Optional) Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs) Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.) Familiarity with Docker, APIs, and ML model deployment workflows Knowledge of MLOps tools and CI/CD for AI systems Kaggle profile, published papers, or open-source contributions What You ll Gain Work on real-world AI/ML problems in the fast-growing EdTech space Learn from senior data scientists and engineers in a mentorship-driven environment Certificate of Internship/Experience & Letter of Recommendation (for interns) Opportunities to lead research-driven AI initiatives at scale Flexible work hours and performance-based growth opportunities End-to-end exposure from data collection to model deployment in production

The Data Manager will be responsible for designing, implementing, and maintaining our data management systems, policies, and procedures. This includes ensuring data quality, integrity, and security, as well as providing data insights and analytics to support business and program decisions and impact communication. Product and Data Manager Job Summary The Data Manager will be responsible for designing, implementing, and maintaining our data management systems, policies, and procedures. This includes ensuring data quality, integrity, and security, as well as providing data insights and analytics to support business and program decisions and impact communication. Roles and Responsibilities Data Governance: Develop, implement, and maintain data management policies, procedures, and standards to ensure data quality, integrity, and security. The objective is to streamline and aggregate all org data into one system and platform. Data Architecture: Design and implement data management systems for all verticals and projects including data collection tools, dashboards for visualisation and communication and dissemination to the right stakeholders. Data Quality: Develop and implement data quality metrics and monitoring/ auditing systems to ensure data accuracy, completeness, and consistency. Data Security: Ensure data security and compliance with relevant regulations. Data Analytics: Provide data insights and analytics regularly to support business decisions, including data visualization, reporting, and analysis. Stakeholder Management: Collaborate with stakeholders, including business leaders, data analysts, and IT teams, external consultants to understand data requirements, keep updated on new tools and technologies and provide data solutions. Data Documentation: Maintain accurate and up-to-date data documentation Team Management: Supervise and mentor team members across verticals to drive a culture of data-driven decision making in the organization. Qualifications Education: Bachelors degree in Computer Science, Information Technology, or related field. Experience: Minimum 5 years of experience in data management, data analytics, or related field. Skills: Strong knowledge of data management principles, data governance, and data quality. Experience with data management tools. Proficiency in data analysis and visualization tools, such as Tableau, Power BI, or D3.js. Strong understanding of data security and compliance regulations. 5. Excellent communication and project management skills.

for girls education in India s rural and educationally backward areas. Educate Girls scalable, replicable and sustainable program model resides on top of India s Right to Education Act . From a 500-schools pilot in 2007, Educate Girls has metamorphosed into a 24,000+ schools, over 18,000 villages across more than 33 districts in the states Rajasthan, Madhya Pradesh, Uttar Pradesh & Bihar. Since inception, Educate Girls has enrolled 1.4+ million Out-of-school girls (OOSG); 1.9+ million children have benefitted from the remedial learning curriculum. Over 18.6 million total beneficiaries have been impacted from Educate Girls program model. For more information log on to www.educategirls.ngo In the next 10 years, Educate Girls aims to build one of the largest second-chance program - Pragati - for adolescent girls and young women. The objective of Pragati is to create an ecosystem to enable 10th grade credentialing and access to better life chances for adolescent girls and women who have dropped out of the formal school-system. The goal is to transform 10 million lives in the next 10 years. For more information about the project, visit About the role: The Monitoring (M&E) Expert is expected to Monitor, analyze data collected from Google forms & various other mediums that help EG & dept. of secondary education to maximize its impact. This role will be instrumental in understanding the trends and developing monitoring and evaluation tools. In this role, you will be responsible for: Data Management & Analysis Design and implement systems to manage, clean, and analyze data generated through TAU activities, partner departments (e.g., ASOS, ASDM), and schemes like SAG, BBBP, Analyze secondary data from sources like NFHS, UDISE+, PLFS, Census, and NIOS/ASOS records to identify priority districts and track key indicators. Monitor trends related to enrolment, retention, certification, digital access, child marriage, skilling, and employability among adolescent girls and women. Interpret statistical results, identify outliers or gaps, and generate district-wise dashboards for use by WCD and partners. Monitoring, Reporting & Dashboard Development Develop and regularly update dashboards and performance scorecards for second-chance education and NEET-reduction initiatives using tools like Tableau/Google Conduct data quality checks, triangulate findings across multiple sources, and ensure alignment with state and national M&E frameworks. Support the design and implementation of baseline, midline, and endline evaluations for pilots in selected districts. Provide inputs for monthly, quarterly, and annual reports aligned with project milestones. Capacity Building & Technical Support Train WCD field staff, ASOS personnel, and other stakeholders in data collection tools, digital reporting formats, and basic data literacy. Collaborate with IIT-Guwahati (as part of the proposed Landscape Study) to synthesize findings and translate them into planning tools. Contribute to the development of Monitoring Frameworks and Quality Assurance systems for Open Schooling & Skills programs. Bachelors/Master s degree in Data Science, Statistics, Public Policy, Development Studies, or a relevant field. At least 3 years of experience in Monitoring & Evaluation, preferably in education, gender, or livelihoods sector. Hands-on experience with large datasets, SQL queries, and statistical packages (R/Python/SPSS). Proven ability in dashboard creation (Tableau/Google Data Studio/Excel) and visual storytelling. Strong knowledge of education datasets like UDISE+, NFHS, NIOS data and understanding of NEET indicators. Familiarity with Assam s socio-economic and gender dynamics will be a strong advantage. Attributes to be successful in this role at Educate Girls Demonstrated commitment to gender equity, data-driven planning, and youth empowerment. Strong interpersonal skills to work with diverse government departments and partner NGOs. Ability to communicate complex data insights in a simple and visual manner. High level of integrity, accountability, and professional maturity. Travel requirement: Willingness to travel up to 25% of the time at the State/district level in program

Job Description: Job Title: Data Governance Management - Associate Location: Bangalore, India Role Description The Compliance and Anti-Financial Crime (CAFC) Data Office is responsible for Data Governance and Management across key functions including AFC, Compliance, and Legal. The team supports these functions in establishing and improving data governance to achieve critical business outcomes such as effective control operation, regulatory compliance, and operational efficiency. The CAFC Data Governance and Management team implements Deutsche Bank s Enterprise Data Management Framework focusing on controls, culture, and capabilities to drive improved data quality, reduce audit and regulatory findings, and strengthen controls. As a member of the Divisional Data Office, the role holder will support both Run-the-Bank and Change-the-Bank initiatives, with a particular focus on Financial Crime Risk Assessment (FCRA) data collation, processing, testing, and automation. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Document and maintain existing and new processes; respond to internal and external audit queries and communicate updates clearly to both technical and non-technical audiences. Independently manage the FCRA data collection process including data collection template generation, quality checks, and stakeholder escalation. Execution of data cleansing and transformation tasks to prepare data for analysis. Perform variance analysis and develop a deep understanding of underlying data sources used in Financial Crime Risk Assessment. Documentation of data quality findings and recommendations for improvement/feeding into the technology requirements. Work with Data Architecture developers to design and build data FCRA Risk data metrics. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. To ensure new data sources align with Deutsche Bank s Data Governance standards, maintain metadata in Collibra, visualize data lineage in Solidatus, and ensure certification and control coverage. Automate manual data processes using tools such as Python, SQL, Power Query and MS excel to improve efficiency and reduce operational risk. Translate complex technical issues into simple, actionable insights for business stakeholders, demonstrating strong communication and stakeholder management skills. Your skills and experience 6+ years of experience in data management within financial services, with a strong understanding of data risks and controls. Familiarity with industry-standard frameworks such as DCAM or DAMA (certification preferred). Hands-on experience with Data cataloguing using Collibra, Data lineage documentation using Solidatus and Data control assessment and monitoring Proficiency in Python, SQL, and Power Query/excel for data analysis and automation. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively across global teams. How we ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Job Description: Job Title: FinOps Cost Optimization Engineer, VP Location: Pune, India Role Description: Our FinOps function drives financial accountability of cloud consumption at DB, providing distributed teams with insights into their consumption, spend and optimization / control options to ensure cloud usage is managed efficiently. We are seeking an individual who has a real passion for technology, with a strong technical background in Google Cloud Platform, billing and usage data analysis and cost optimization. You should also have a track record of excellent problem-solving skills. FinOps Cost Optimization Analyst will be responsible for defining, analyzing and generating optimization recommendations to reduce costs associated with cloud services, infrastructure and technology spend. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy. Best in class leave policy. Gender neutral parental leaves. 100% reimbursement under childcare assistance benefit (gender neutral). Sponsorship for Industry relevant certifications and education. Employee Assistance Program for you and your family members. Comprehensive Hospitalization Insurance for you and your dependents. Accident and Term life Insurance. Complementary Health screening for 35 yrs. and above. Your key responsibilities Cost optimization of GCP cloud services, infrastructure and technology spend whilst maintaining operational efficiency. Analysis of GCP billing data, usage data from Asset Inventory and Monitoring utilization data to assess application teams GCP consumption, identify wasteful spend and provide actionable insights to optimize spend. Subject Matter Expert for the design of optimization tactics and creation of Infrastructure as Code implementation guidance and script templates. Estate Manager and Application team engagement to drive optimization implementation Automation of optimization analysis with serverless products on GCP (including but not limited too; Cloudrun, Cloudfunctions and Pub Sub topics) to be able to repeat analysis, data collection, recommendation generation and track benefit implementation to reduce manual workload. Financial analysis to identify trends, patterns, and anomalies in spending and financial performance. Your skills and experience Infrastructure Cloud technology industry experience (6+ Years) Proficient in data analysis tools e.g., Excel, SQL (4+ Years) Proficient in Python, CSP CLI, PowerQuery for Excel, Terraform and GitHub workflows. (4+ Years) Proficient in GCP infrastructure and GCP services Ability to analyze complex data sets, identify patterns and draw actionable insights. Ability to create, document and communicate financial analysis and cost optimization recommendations for GCP cloud services. Strong analytical and problem-solving skills. Experience in FinOps, Cost Optimization and reducing Cloud spend. How we ll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Job Description: Job Title: Group Audit - Analytics Senior Analyst Corporate Title: Assistant Vice President Location: Mumbai, India Role Description As Analytics Senior Analyst you will be a member of our Data Analytics Center of Excellence (CoE) for Group Audit. You will pioneer and support Group Audit in implementing innovative and effective analytics processes that are critical to the success of our audit function. Based in the Mumbai office, you will work embedded in audit teams around the world, applying the latest analytics technologies while connecting with the central team in Germany to leverage our core analytics solutions. You will be responsible for supporting all Group Audit functions with data analytics services and audit automation solutions. Team / division overview Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. Work includes: Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques Examining and identifying data patterns and trends to help answer business questions and improve decision making Identifying areas to increase efficiency and automation of data analysis processes Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on: Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions Representing the bank as a data science practitioner in industry initiatives At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Evaluate and provide analytics solutions to auditors to identify potential risk, anomalies, detect outliers and identify weaknesses in control activities using analytical tools like SQL and Python. Develop and maintain interactive dashboards using Tableau that effectively convey meaningful insight and track key metrics. Communicate findings and insights to stakeholders including Senior Management that support informed decision-making process and effectively drive business strategy. Collaborate closely with auditors, data owner and subject matter experts to understand business requirement and translate them into analytical solution in an agile and iterative manner. Proactively identify automation opportunities and develop solutions that simplify audit processes and make Group Audit more efficient. Core area for automation will be the Key Control automated testing for Technology, Data and Innovation. Drive innovation across Group Audit, leveraging the experience gained and data collected from successful data analytics projects. Focus here will be especially for IT related audit data and testing. Promote the adoption and integration of data science into the Group Audit organization and inspire Group Audit colleagues by sharing background on successful adoption. Apply highest quality standards as your solutions will become an integral part of audit execution processes. Support upskilling of auditors to gain competencies in data analytics method to transform Group audit into data-driven function. Your skills and experience Ideally first-hand experience in Audit function specifically in risk management and compliance focusing on data analytics and reporting. Master s or bachelor s degree (or equivalent - PhD appreciated) from an accredited college or university (or equivalent) in a quantitative field (Data Science, Mathematics, Statistics, Physics, Engineering, Computer Science, Economics, etc.) or equivalent work experience. Possess at least 8 years of relevant experience - IT auditor experience highly appreciated. Proficiency in SQL and Python for data analysis. Proficiency in reporting and visualization using Tableau. Hands-on experience in ETL and data warehouse, Hadoop, Hive/Impala. Familiarity with GCP services and tools, OpenShift, CDSW. Familiarity with Sentiment Analysis and Natural Language Processing (NLP). Excellent verbal and written communication skills with the ability to convey complex information in clear and concise manner to Senior Management, Audit committees and other stakeholder. Strong problem-solving and analytical skill to interpret complex data and derive actionable insights. A creative technologist passionate about data and information with an intrinsic motivation and curious to learn new technologies and frameworks to adopt data analytics for new ways of auditing. How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams https: / / www.db.com / company / company.htm

The Senior Analyst will support the Climate Change Mitigation group within the Climate, Environment and Sustainability sector in modelling India s future energy and emissions, resource constraints, macroeconomic impacts, and financial analyses across sectors, with a focus on buildings. Responsibilities Support the team in developing models to explore climate change mitigation and sustainability scenarios, with a focus on the buildings sector Carry out a combination of tasks such as literature reviews, data collection, modelling logic development, system dynamics modelling, brainstorming sessions, ideation, concept note drafting, and technical writing Contribute to research publications, including journal articles, research papers, op-eds, and blog posts Drive innovation and ideation to expand the knowledge base and scope of work within the climate and sustainability domain Participate in relevant conferences, workshops, and external engagements, as needed Coordinate and communicate with stakeholders across government, industry, and academia for data collection and analytical collaboration Qualifications Master s degree or equivalent in Climate Science/Environmental Studies/Energy/Urban Planning/Architecture Strong understanding of the built environment in India and associated decarbonisation strategies Ability to apply systems thinking with a multidisciplinary approach Effective verbal and written communication skills Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, etc) Excellent analytical and problem-solving abilities Self-motivated, with a strong drive to complete tasks on time How to apply Please send an email to with the subject Application: Senior Analyst - Mitigation and attach a copy of your updated CV and a cover letter.

Looking for a skilled and experienced Drone Pilot specialized in surveying Your primary responsibility will be to operate drones equipped with surveying instruments to collect accurate and detailed data for mapping, land surveying, and construction projects Your expertise in drone piloting and surveying techniques will play a crucial role in assisting with project planning, data collection, and analysis, contributing to the overall success of surveying operations ",jobkeywords:"Drone, Surveying, Construction", jobresponsibilities:"Conduct drone flights to capture aerial data for surveying purposes Operate and maintain surveying instruments and drone equipment Ensure compliance with safety regulations and guidelines during drone operations Collaborate with surveyors and project teams to plan and execute survey missions Analyze collected data and generate accurate maps, 3D models, and survey reports Assist in project planning, data collection, and analysis Stay updated with the latest drone technology and surveying techniques ",jobValid drone pilot license or certification Proven experience in operating drones for surveying purposes Strong knowledge of surveying techniques and equipment Proficient in drone flight planning and mission execution Ability to analyze and interpret aerial survey data Excellent attention to detail and accuracy Effective communication and teamwork skills ",

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . s Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). Ability to perform preprocessing of structured and unstructured data Processing, cleansing, and validating the integrity of data to be used for analysis. Strong working experience with cloud platforms build, train, and deploy ML Models on Azure/AWS/GCP. Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). Handon experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). Adaptation of foundation models/LLMs to address specific business challenges. Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and errorfree development environment. Design, deploy and manage promptbased models on LLMs for various NLP tasks. Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Familiarity with LLM orchestration and agentic AI libraries. Good understanding of business and ability to translate domain problems to data science problem. Ability to communicate effectively with both technical and nontechnical stakeholders. Mandatory skill sets Python, GenAI ,Machine learning, data science Preferred skill sets Data analysis, SQL, MLOPS Years of experience required 5+ Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Large Language Model (LLM) FineTuning, Python for Data Analysis Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Available for Work Visa Sponsorship

Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . This role is responsible for maintaining and enhancing our existing Power BI dashboards, ensuring data accuracy, reliability, and consistency across reporting outputs. The analyst will lead or contribute to process improvement and optimization initiatives, such as the upcoming Master Org project, which aims to integrate regional CRMs into a unified Salesforce (SFDC) master tenant. Additionally, the role supports various ad hoc projects and operates across a global footprint, driving data-driven decision-making and operational excellence. Key Responsibilities: Maintains the existing Customer Service Power BI Reporting Suite. Handles all aspects of Service Operations projects related to reporting and data collection. Manages the design, creation, and implementation of new Power BI metrics and reports, working closely with business subject matter experts to understand requirements and translate them into a reporting solution. Works with the Customer Service Team to look for opportunities to automate and/or replace existing reporting methods. Performs ad hoc analysis of our data, looking for opportunities for performance improvement within the Customer Service space. Periodically conducts training with end-users, to ensure they optimize their use of the tool. Be a key member of the Master Org project, focusing on our regional reporting needs and supporting Service Operations Lead. Establishing a long-term reporting strategy using both SQL > PBI and SFDC Master Org > Aligned Dashboard reporting. Participate in global cross-functional Teams addressing process improvement opportunities within Global Customer Service organization (GCS) Periodically participate in deep dives into issues highlighted by GCS Leadership. Key Skills: Bachelor s degree with a minimum of 3 years of relevant professional experience. Familiarity with the structure and operations of Global Customer Services, or experience in a comparable environment, is preferred. Proven expertise in Microsoft Power BI and SQL, with at least 3 years of hands-on experience developing and maintaining Power BI reports in a production setting. Proficient in Python and working with relational databases. Experience with AWS services such as Redshift, EC2, and RDS is a strong plus. Experience with SFDC, Five9 and Qualtrics is a plus Ability to work independently and with diverse teams, in a dynamic environment, as part of a global team while managing multiple priorities. Strong analytical, conceptual, and problem-solving skills. Excellent communicate skills (oral & written) Proficiency in Microsoft Office Suite skills Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success. Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. Where applicable, fluency in English and languages relevant to the working market. All Dun & Bradstreet job postings can be found at https: / / www.dnb.com / about-us / careers-and-people / joblistings.html and https://jobs.lever.co/dnb . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. .

Jul 21, 2025 Location: Coimbatore Designation: Senior Analyst Entity: Deloitte South Asia LLP Human Capital Operate Change Management Operate | Change | Senior Analyst What impact will you make At Deloitte, your work will help clients navigate transformation by enabling the people side of change. As part of the Change Management Operate team, you will deliver and manage change interventions that promote adoption, build readiness, and drive sustained engagement. You will support and guide large-scale change execution activities across strategic programs for global clients. The Team & Growth Opportunities Deloitte s Change Management Operate team helps clients manage complex transformations by applying structured change methodologies, stakeholder engagement strategies, and scalable delivery practices. We collaborate across functions to deliver high-impact change outcomes through execution-focused support. Our professional development model ensures you receive continuous mentorship and skill-building opportunities while contributing to programs that make a difference. Learn more about Human Capital Practice . Explore Deloitte University, The Leadership Centre. Work you ll do. As a Senior Analyst, you will: Lead and execute client engagement activities across a wide range of deliverables including but not limited to change communications, stakeholder engagement programs and change assessments. Collaborate with client teams and internal stakeholders to build and maintain stakeholder maps, change impact logs, and adoption dashboards. Drive change readiness activities by rolling out surveys, focus groups, interviews, and collating and analysing data to inform targeted interventions. Assigns tasks to junior team members where relevant and provide ongoing support to deliver key engagement deliverables such as client presentations, readiness assessment reports, status reports, and workplan execution trackers. Design and support the rollout of communications and learning campaigns, including newsletters, FAQs, learning guides, and digital collateral, tailored to different stakeholder personas across geographies. Maintain structured documentation across change interventions, ensuring audit-readiness, version control, and stakeholder approvals. Support reporting and tracking of change KPIs (e.g., adoption, sentiment, training completion) using available data and visualization tools. Demonstrate understanding and ability to apply structured change methodologies (e.g., Prosci ADKAR, Agile CM) in client or internal engagements. Mentor junior team members by providing guidance on assignment onboarding, reviewing deliverables, and ensuring quality control playing a pivotal role in maintaining delivery standards, accelerating team learning, and building a culture of excellence. Work closely with client-facing leads and engagement managers to ensure timely and quality execution of change activities. Skills Required: Must Have: Bachelor s Degree in any discipline (e.g., Engineering, Science, Arts, Business, HR, Psychology, Organizational Behaviour, Mass Communication, Journalism, English or related fields). 3 5 years of experience in relevant fields such change management, transformation programs, organizational development, [SA1] or adjacent areas such as HR business partnering, talent management, employee engagement, performance enablement or capability building. Strong communication skills, stakeholder management experience, and understanding of change enablement principles. Proven experience in preparing high-quality deliverables including decks, trackers, and reports. Excellent proficiency in Microsoft Office (PowerPoint, Excel, Word, Outlook, SharePoint). Good to Have: Prosci ADKAR or similar change certification. Experience working on large-scale ERP/digital transformations (e.g., SAP, Workday, Oracle). Exposure to visualization tools (Power BI, Tableau), survey tools (Forms, Qualtrics), or collaboration platforms (Miro, MS Teams). Experience in working with global clients and cross-functional teams. Technical Skills Proficiency in MS Office Suite (PowerPoint, Excel, Word, Outlook, SharePoint) is a must. Familiarity with project management and collaboration tools (MS Teams, Smartsheet, Asana, JIRA). Working knowledge of survey and data collection tools (MS Forms, SurveyMonkey, Qualtrics). Ability to interpret data and create insights using tools like Excel, Power BI, or Tableau. Exposure to digital design tools (Canva, Adobe Creative Cloud) and virtual whiteboarding platforms (Miro, MURAL) is a plus. Understanding of Learning Management Systems (LMS) or content delivery platforms is desirable. Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. Builds own understanding of our purpose and values; explores opportunities for impact. Actively focuses on developing effective communication and relationship-building skills. Understands expectations and demonstrates personal accountability for keeping performance on track. Understands how their daily work contributes to the priorities of the team and the business. Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloittes impact on the world .

The Core Analytics & Science Team (CAS) is Ubers primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Ubers cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Ubers global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. What the Candidate Will Need / Bonus Points What the Candidate Will Do ---- Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. Basic Qualifications ---- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions Excellent understanding of statistical principles backed by an academic foundation Advanced SQL expertise Experience with either Python or R for data analysis Significant experience in setting up and evaluation of complex experiments Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Experience with Excel and some dashboarding/data visualisation (i.e. Tableau, Mixpanel, Looker, or similar) Preferred Qualifications ---- Proven aptitude toward Data Storytelling and Root Cause Analysis using data Ability to learn and adapt to new methodologies for data collection and analysis Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Responsible for leading the performance of Ergonomics and to meet the customer requirements and also project deliverables. On time delivery of Remote engineering Projects based on Corporate requirements. Role Purpose Drive two cornerstone talent-culture initiatives, Continuous Listening Program (CLP) and Skill-Based Management (SBM), while providing hands-on coordination for Culture-Champion workshops. The role translates design blueprints into day-to-day execution: organising pilots, shepherding data flows, and ensuring stakeholder alignment so that the wider function objectives are met on time and to spec. Core Responsibilities Support development and Documentation of ongoing program frameworks and maintain stakeholder map. Coordinate logistics and comms for the global pulse survey. Assist in building Skill Based Mgmt framework; BM; prepare data-collection templates. Validate and upload skills data, generate demand supply analytics in Workday. Schedule Culture-Champion sessions and produce guidance decks. Key Skills & Competencies Program Execution. converts high-level designs into detailed project plans. Stakeholder Management. communicates with empathy and clarity from shop-floor to senior leadership. Data Literacy. comfortable cleaning, validating, and interpreting HR data. Change-Management Comms. crafts briefs that drive adoption. Growth Mind-set. learns quickly, adapts to evolving frameworks. Qualifications & Experience Bachelor s degree in HR, Psychology, Business, or related field. 5+ years experience in HR project coordination, OD, or L&D. Exposure to employee-listening tools, survey platforms, or HRIS (Workday ideal). Strong data chops advanced Excel, basic Power BI/Tableau a plus, obviously PowerPoint. Proven track record managing multiple stakeholders across geographies and change communication skills. Success Profile Thrives on turning blank slides into operational reality; balances meticulous coordination with a test-and-learn attitude. Views culture metrics and skills taxonomies as living systems rather than paperwork. What s in It for You Chance to architect flagship listening and skill-taxonomy programs for a global OEM. Direct exposure to C-suite culture-transformation agenda. Platform to build analytics capability in Workday and shape data-driven talent strategy. Job Family Human Resources Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.