1277 Dashboarding Jobs - Page 5

Uber's mission is to reimagine the way the world moves for the better. Bold ideas here create real-world impact, challenges drive growth, and speed fuels progress. What moves you, moves the world - let's move it forward, together. Offices are central to collaboration and Uber's cultural identity. Unless approved to work fully remotely, spend at least half of your work time in your assigned office. Certain roles require 100% in-office presence. Contact your recruiter for in-office expectations clarification. As a member of the GSS DAS team, you'll drive analysis behind operations and product-related decisions at Uber. Perform activities showcasing analytical thought leadership and Program Manage multiple data-driven projects. The ideal candidate is experienced in working with large data sets, data visualization, and passionate about data and analytics. Responsibilities include: - Developing end-to-end analytical solutions using large, complex data sets. - Translating data into actionable insights for technical and non-technical audiences. - Designing and maintaining KPI tracking systems for global operations. - Leading deep-dive analyses for product strategy, operational efficiency, and growth opportunities. - Building and maintaining dashboards using data visualization tools. - Driving experiment design, A/B testing, and statistical analysis. - Collaborating with cross-functional partners to define goals and influence decision-making. - Identifying opportunities for workflow automation and reporting process improvement. - Leading vendor data analysts and driving long-term process improvements. Requirements: - Bachelors or M.S. in Statistics, Economics, Computer Science, or similar fields. - Minimum 4 years of experience in business intelligence, analytics, or data engineering. - Strong business and product sense. - Advanced SQL and Python expertise. - Advanced experience with dashboarding/data visualization tools. - Ability to work self-guided, deliver on tight timelines, and prioritize tasks effectively. - Effective communication and relationship management skills. Preferred Qualifications: - Experience in experimental design, exploratory data analysis, data modeling, and statistical analysis. - Data engineering/pipeline creation experience. - Project management across large scopes in a fast-moving environment. - Experience working with Product and Engineering teams.,

You have a Bachelor's degree or equivalent practical experience along with at least 5 years of experience in building integrated systems throughout their lifecycle, including analysis, design, testing, implementation, and support. Additionally, you have 5 years of experience in designing and implementing supply chain systems. You are experienced in Anaplan modeling and integration with other systems, specifically as an Anaplan Model Builder with Business Planning. Your expertise extends to working with web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, networking, developing software systems, or security software development. Ideally, you are certified in Anaplan Solution architecture or are a Master Anaplanner. You have 5 years of experience collaborating with cross-functional teams to define requirements and manage technical projects. Your skill set also includes experience in data analysis, Key Performance Indicator (KPIs), and reporting/dashboarding. You possess excellent technical process analysis skills to effectively translate business requirements into solution designs. As a member of the Business Systems Integration team at Google, you will play a crucial role in identifying and removing roadblocks that hinder progress. By developing reliable and scalable solutions, you will streamline internal processes to align with the company's size and scope. Your responsibilities will involve translating Googler needs into technical specifications, designing and developing systems, and consulting with Google executives to ensure successful implementation. Whether optimizing existing system processes or leveraging Google's suite of products, your work will enhance operational efficiency for Googlers. Drawing on your technical expertise, you will design business applications and influence feature enhancements to bolster application and system reliability. You will lead technical projects, defining their scope and overseeing execution to drive successful outcomes. This is an exciting opportunity to join Google Cloud's Go-To-Market team and be at the forefront of the AI revolution for businesses globally. By harnessing Google's brand credibility and cutting-edge AI portfolio, including Gemini models and the Vertex AI platform, you will tackle complex business challenges. You will collaborate with DeepMind's engineering and research experts, empowering you to deliver innovative solutions and drive customer success in the evolving cloud market. Your primary responsibilities will include designing, building, and maintaining Anaplan models to support various business planning aspects. You will collaborate with Data teams to reconcile discrepancies with other systems, refine and optimize Anaplan models for enhanced performance and accuracy, and integrate data from multiple sources into Anaplan while ensuring data accuracy and consistency. Documentation of models and processes, testing, and validation of Anaplan models will be essential tasks. Additionally, you will work closely with various teams across the organization to understand business requirements, translate them into Anaplan solutions, and enhance overall operational performance.,

As a Sustainability Analyst at NewCold, you will be part of a team dedicated to driving global energy initiatives. Your primary focus will be on enhancing energy efficiency through activities such as energy modeling, data collection, automation of data processing, and reporting using tools like PowerBI. Moreover, you will lead improvement projects aimed at advancing sustainability efforts within energy, water, and waste systems. Your responsibilities will include identifying areas for optimization, proposing innovative solutions, and overseeing project implementation from inception to completion. In addition to your core duties, you will provide thought leadership on sustainable practices, offering feedback on various activities while considering their environmental impact. You will also ensure that our sustainable goals align with our corporate values. Your key responsibilities will involve contributing to the implementation of sustainable goals, providing thought leadership on sustainable topics, staying updated on industry trends, utilizing energy modeling for efficiency, collaborating with teams on sustainable technologies, preparing technical specifications, and developing business cases for renewable energy projects. To qualify for this role, you should have a Bachelor's degree in Project Management, Electrical Engineering, Renewable Energy, or a related field. Basic knowledge of Electrical Engineering principles, familiarity with market trends in renewable energy and sustainability, strong organizational and prioritization skills, effective intercultural communication skills, and high proficiency in English are essential. Join NewCold's dynamic team and be a part of our mission to drive sustainable practices in cold chain logistics.,

Assoicate AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Build and maintain machine learning models for various applications, such as natural language processing, computer vision, and recommendation systems Perform exploratory data analysis (EDA) to identify patterns and trends in data Clean, preprocess, perform hyperparameter tuning and analyze large datasets to prepare them for AI/ML model training Build, test, and optimize machine learning models and experiment with algorithms and frameworks to improve model performance Use programming languages, machine learning frameworks and libraries, algorithms, data structures, statistics and databases to optimize and fine-tune machine learning models to ensure scalability and efficiency Learn to define user requirements and align solutions with business needs Work on AI/ML engineering projects, perform feature engineering and collaborate with teams to understand business problems Learn best practices in data / AI/ML engineering and performance optimization Contribute to research papers and technical documentation Contribute to project documentation and maintain data quality standards Foundational Skills Understands Programming skills beyond the fundamentals and can demonstrate this skill in most situations without guidance. Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance AI & Machine Learning Data Analysis Machine Learning Pipelines Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NPL) Data Architecture Data Processing Frameworks Proficiency in Python programming. Proficiency in Python-based statistical analysis and data visualization tool While having limited understanding of Technical Documentation but are focused on growing this skill Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 1+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning 3+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Some experience with scenario simulations. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Team player, eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open-source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Senior AI/ML Scientist(IC) – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Independently design and develop scalable AI/ML solutions using advanced design patterns, models and algorithms to analyse complex datasets and generate actionable insights Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys and challenge business requirements to ensure seamless, value driven delivery and integration of solutions Apply innovative problem-solving techniques, leveraging advanced methodologies to find unique approaches to complex problems and improve outcomes Investigate and resolve complex challenges in data pipelines, modelling, and deployment to ensure reliable solutions that meet performance benchmarks Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions, and contribute to Communities of Practice Effectively communicate modelling, infrastructure, and deployment choices to both technical and non-technical stakeholders Maintain detailed, impactful documentation, covering methodologies, data pipelines, model performance, and key design decisions to enable reproducibility and scalability Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability and reusability of models for future projects Drive cross-team and cross-discipline initiatives to optimize workflows, remove redundant applications and processes, share best practices, and enhance collaboration between teams Demonstrate awareness of shared platform capabilities and actively identify opportunities to leverage them in designing efficient and scalable AI/ML solutions Foundational Skills Mastered Data Analysis, Data Science and and AI & Machine Learning concepts and can demonstrate this skill in complex scenarios Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. Technical Documentation Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 8+ years of years of relevant experience in the field of Data Engineering 5+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC 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 purpose-led and values-driven 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 . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 4 to 7 years ( 3 + years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Science Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Key Responsibilities: Partner with Business Leaders to understand business needs and align HR strategies accordingly Manage employee lifecycle processes including onboarding, confirmation, engagement, retention and exit Drive employee engagement initiatives tailored to a hybrid BPO workforce Lead Performance management processes , provide coaching to managers and support talent development plans Analyse attrition and engagement scores, design and implement actions to address gaps Act as a trusted advisor to employees, addressing concerns promptly and fairly Ensure compliance with HR policies, client requirements, and internal processes Drive CSR within the vertical Reporting and dashboarding of key talent metrics to both internal and external stakeholders Participate in weekly, monthly and quarterly reviews

AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Design, develop, and implement robust, scalable, and optimized machine learning and deep learning models, with the ability to iterate with speed Write and integrate automated tests alongside models or code to ensure reproducibility, scalability, and alignment with established quality standards Implement best practices in security, pipeline automation, and error handling using programming and data manipulation tools Identify and implement the right data-driven approaches to solve ambiguous and open-ended business problems, leveraging data engineering capabilities Research and implement new models, technologies, and methodologies and integrate these into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative tools, develop algorithms and optimized workflows Independently manage and optimize data solutions, perform A/B testing, evaluate performance and evaluate performance of systems Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Have mastered the concepts and can demonstrate Programming skills in complex scenarios. Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance AI & Machine Learning Data Analysis Machine Learning Pipelines Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NPL) Data Architecture Data Processing Frameworks Understands the basic fundamentals of Technical Documentation and can demonstrate in common scenarios with some guidance Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning 4+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Strong foundation with expertise in neural networks, optimization techniques and model evaluation Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models Team player, eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open-source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Associate AI/ML Scientist – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights Develop predictive models and validate their effectiveness Support the design of experiments to validate and compare multiple machine learning approaches Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and computer vision frameworks Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios AI & Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. To understand fundamentals and can demonstrate this skill in common scenarios with guidance: Technical Documentation. Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 5+ years of years of relevant experience in the field of Data Engineering 3+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Lead AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as a Lead AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Lead end-to-end AI/ML projects, from problem definition, feature selection, development, implementation of models, monitoring, retraining, infrastructure and communication of results Provide technical leadership on complex AI/ML projects, developing end-to-end machine learning pipelines, robust data models and driving innovation in engineering practices Address advanced AI/ML challenges, evaluate and optimize existing data pipelines and frameworks for efficiency and cost-effectiveness using cutting-edge techniques Architect and oversee scalable, production-ready data models and pipelines, solve complex issues and lead work on optimization and performance of models, ensuring alignment with business needs Collaborate with stakeholders and cross-functional teams and communicate insights to influence data strategy, product roadmaps, and scalable solutions through expertise in AI/ML techniques, tools, architectures, and business applications, delivering measurable positive impact Design and advocate for resilient, secure, scalable, and sustainable data / AI/ML architectures while creating modernization plans for long-term innovation and maintainability Evaluate and improve tools, methodologies, and assess industry practices to drive quality and innovation across AI/ML engineering initiatives Mentor AI/ML engineers and other talent, promoting diversity, inclusion, and leadership development across all levels Build relationships with stakeholders, champion best practices, and lead initiatives to deliver robust, scalable, future-proof data engineering solutions, while championing quality, modernization, and best practices across the organization Work across organizational boundaries to resolve challenges, influence shared roadmaps spanning multiple teams, ensuring scalable solutions prioritizing organizational objectives vs team or individual specific ones, while aligning with evolving data engineering requirements Foundational Skills Have specialized in Machine Learning Pipelines, can easily demonstrate in complex scenarios and mentors/coaches others Have mastered the concepts and can demonstrate below skills in complex scenarios Programming AI & Machine Learning Data Analysis Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NLP) Data Architecture Data Processing Frameworks Technical Documentation Technical leadership experience in Data integration and AI Agentic solutions including Connecting AI agents to various custom data sources (e.g., Databases, APIs, internal document stores). Implementing Retrieval Augmented Generation (RAG) patterns. Working with Vector Stores (e.g., Pinecone, Weaviate, ChromaDB, FAISS, etc.) and Knowledge Graphs Implementing agent memory storage and reasoning solutions, and using various Multi-Agent Frameworks (e.g., AutoGen, CrewAI, or similar). Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 13+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and design experience 6+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Strong understanding and implementation experience of AI Agent solutions Hands-on experience building end-to-end data products based on recommendation technologies Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Communication and leadership experience, with experience initiating, driving and delivering projects Team player, eager to collaborate Preferred Experiences In addition to basic qualifications, would be great if you have… Experience as tech lead or engineering manager (still hands-on) Experience with common dashboarding technology (we use PowerBI for now) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization: Kubernetes & Docker Experience with front-end frameworks such as React or Angular. Knowledge of data visualization using D3.js or Chart.js. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing team Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

This role is for one of Weekday's clients Min Experience: 5 years Location: Bengaluru JobType: full-time Requirements We are looking for an experienced Data Scientist with a strong background in the CPG (Consumer Packaged Goods) or Retail domain , focusing on category and product analytics , forecasting , and machine learning workflows . The ideal candidate will possess advanced analytical skills, business acumen, and hands-on expertise in modern data science tools and platforms such as Python, SQL, Databricks, PySpark , and CI/CD ML pipelines . As a Data Scientist, you will be responsible for generating actionable insights across product assortment, category performance, sales trends, and customer behaviors. Your work will directly influence decision-making for new product launches , inventory optimization , campaign effectiveness , and category planning , enabling our teams to enhance operational efficiency and drive business growth. Key Responsibilities Category & Product Analytics: Conduct deep-dive analysis into product assortment, SKU performance, pricing effectiveness, and category trends. Evaluate new product launches and provide recommendations for optimization based on early performance indicators. Sales Data Analysis & Forecasting: Analyze historical and real-time sales data to identify key growth drivers, seasonality, and demand patterns. Build statistical and ML-based models to forecast demand and category-level performance at multiple aggregation levels. Customer Analytics (Nice to Have): Analyze loyalty program data and campaign performance metrics to assess customer retention and ROI of promotions. ML Model Development & Deployment: Design, build, and deploy machine learning models using Python and PySpark to address business problems in forecasting, product clustering, and sales optimization. Maintain and scale CI/CD pipelines for ML workflows using tools like MLflow, Azure ML, or similar. Data Engineering and Tooling: Develop and optimize data pipelines on Databricks and ensure reliable data ingestion and transformation for analytics use cases. Use SQL and PySpark to manipulate and analyze large datasets with performance and scalability in mind. Visualization & Stakeholder Communication: Build impactful dashboards using Power BI (preferred) to enable self-service analytics for cross-functional teams. Translate data insights into clear, compelling business narratives for leadership and non-technical stakeholders. Collaboration & Strategic Insights: Work closely with category managers, marketing, and supply chain teams to align data science initiatives with key business objectives. Proactively identify opportunities for innovation and efficiency across product and sales functions. Required Skills & Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field. 5+ years of experience in applied data science, preferably in CPG/Retail/FMCG domains. Proficient in Python, SQL, Databricks, and MLflow. Experience with PySpark and Azure ML is a strong plus. Deep experience with time-series forecasting, product affinity modeling, and campaign analytics. Familiarity with Power BI for dashboarding and visualization. Strong storytelling skills, with the ability to explain complex data-driven insights to senior stakeholders. Solid understanding of challenges and opportunities within the retail and FMCG space. Ability to work independently as well as in cross-functional teams in a fast-paced environment.

This role is for one of Weekday's clients Salary range: Rs 1800000 - Rs 2000000 (ie INR 18-20 LPA) Min Experience: 4 years Location: Bangalore JobType: full-time Requirements We are seeking an experienced and detail-oriented Data Analyst with a strong background in SQL, PySpark, Python, and Power BI (PBI) to join our data and analytics team. As a Data Analyst, you will play a critical role in transforming raw data into actionable insights that drive strategic business decisions. You'll work closely with cross-functional teams including business, product, engineering, and marketing to understand data requirements, build robust data models, and deliver meaningful reports and dashboards. The ideal candidate has 4+ years of hands-on experience working in fast-paced, data-driven environments, with a strong command of data querying, scripting, and visualization. This is an excellent opportunity for someone who enjoys solving complex data problems and communicating insights to both technical and non-technical stakeholders. Key Responsibilities Data Extraction & Transformation: Use SQL and PySpark to extract, clean, transform, and aggregate large datasets from structured and unstructured sources. Data Analysis: Conduct exploratory and ad-hoc data analysis using Python and other statistical tools to identify trends, anomalies, and business opportunities. Dashboarding & Reporting: Design, develop, and maintain interactive dashboards and reports using Power BI to visualize KPIs, business metrics, and forecasts. Data Modeling: Build and maintain efficient and scalable data models to support reporting and analytics use cases. Business Collaboration: Partner with internal teams to gather requirements, understand business challenges, and deliver data-driven solutions. Performance Tracking: Monitor campaign and business performance, identify areas of improvement, and suggest data-backed strategies. Automation: Streamline and automate recurring reporting processes using Python scripting and PBI integrations. Data Governance: Ensure data accuracy, consistency, and compliance with privacy regulations and data governance frameworks. Documentation: Maintain comprehensive documentation of data workflows, pipelines, and dashboards for knowledge transfer and reproducibility. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. 4+ years of professional experience as a Data Analyst or in a similar role involving large-scale data analysis. Strong expertise in SQL for data querying, joins, aggregations, and optimization techniques. Hands-on experience with PySpark for big data processing and distributed computing. Proficiency in Python for data manipulation, statistical analysis, and building automation scripts. Advanced working knowledge of Power BI for building reports, dashboards, and performing DAX calculations. Strong analytical thinking, with the ability to work independently and manage multiple projects simultaneously. Excellent communication and stakeholder management skills; ability to translate complex data into simple business insights. Familiarity with cloud platforms (Azure/AWS/GCP), data warehouses (Snowflake, Redshift, BigQuery), and version control tools (Git) is a plus

Location : Andheri East, Mumbai Experience : 2–3 years Compensation : Up to ₹12 LPA Preferred Education : B.Tech + MBA from Tier-1 Institutes (IITs, IIMs, ISB, etc.) About The Role We're on the lookout for a high-calibre generalist to work directly with our Founders — someone who blends strategic thinking, sharp execution, and a data-driven mindset. This is not a traditional Executive Assistant (EA) role. It's a hybrid Chief of Staff position combining the finesse of an executive assistant with the rigour of a strategy consultant and the drive of a project manager . Expect exposure to every aspect of company building — from boardrooms to brainstorms, dashboards to daily ops. Job Responsibilities Executive & Strategic Support Coordinate calendars, travel, and high-stakes meetings Create investor decks, strategic reports & business briefs Drive communication and follow-ups for key initiatives Business Strategy & Tech Analytics Conduct market research & competitive benchmarking Build dashboards, analyze metrics, and support data-backed decisions Assist with fundraising, M&A, and investor relations Project Execution & Collaboration Own and drive cross-functional, high-impact projects Work with Product, Retail, Ops, and Marketing to unlock efficiencies Help implement scalable systems & workflows Stakeholder Communication Represent the Founders’ Office in key meetings Draft crisp, compelling internal and external communications Ensure alignment across teams on core priorities What We're Looking For Must-Haves 2–3 years in strategy consulting, founder’s office, or startup operations Strong analytical skills (Excel/Sheets, BI tools; SQL a plus) Excellent communication & presentation skills Proven project management chops & ownership mindset Tech-savvy with exposure to modern SaaS tools Preferred Skills Experience in D2C, luxury, or jewellery brands Exposure to product/tech teams or analytics in e-commerce Preferred Education B.Tech/B.E. from a top-tier engineering college MBA from a Tier-1 B-school is a strong advantage Why This Role Work directly with visionary founders & leadership Be a key player in strategic decision-making & execution Enjoy a high-autonomy, high-impact, high-learning environment Build a career at the intersection of tech, retail, and brand innovation Apply now if you're looking for a high-impact Chief of Staff / Founder's Office opportunity with exposure to strategy , operations , fundraising , and execution in a fast-growing D2C luxury brand based in Mumbai. Skills: business insight generation,performance metrics analysis,stakeholder communication,communication,market research,presentation skills,executive support,cross-functional collaboration,communication skills,jewellery,communication & stakeholder management,communications,dashboarding,d2c,strategy,data analysis,founder,presentation,project analysis,cross-functional execution,project management,administrative,projects,business strategy,executive assistant,stakeholder management,data-driven mindset,saas tools,project,strategic thinking,fundraising,strategic business enablement,dashboards,performance tracking,strategy building,dashboard building,calendar planning,travel assistance,google workspace,executive administrative assistance,travel booking,execution,high-growth,competitive analysis,m&a advisory services,analytical skills,performance metrics tracking,analytics,business,office,competitive benchmarking

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form . Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. About The Role: As a member of the GSS DAS team, you will have the opportunity to drive the analysis behind various operations and product-related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in Program Managing multiple data-driven projects. What You Will Do: The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. Following would be what you will do day-to-day: Develop end-to-end analytical solutions using large, complex data sets - from data extraction and transformation to visualization and storytelling. Translate data into clear, actionable insights and recommendations for both technical and non-technical audiences. Design and maintain KPI tracking systems to monitor complex, cross-functional business metrics across Uber's global operations. Lead deep-dive analyses to inform product strategy, operational efficiency, and growth opportunities. Build and maintain dashboards using data visualization tools (e.g., Tableau, Looker), ensuring accuracy, consistency, and stakeholder alignment. Drive experiment design, A/B testing, and statistical analysis to evaluate product and business impact. Collaborate closely with product managers, engineers, and cross-functional partners to define goals, interpret data, and influence decision-making. Identify opportunities to automate manual workflows and reporting processes for stakeholders, enabling scalable, self-serve solutions that reduce operational overhead and improve decision-making speed. Lead vendor data analysts in project execution and ensure high-quality, timely deliverables. Build documentation and drive long-term process improvements, contributing to team-wide best practices and operational excellence. What You Will Need: Bachelors or M.S. in Statistics, Economics, Computer Science, or other quantitative fields. Minimum 4 years experience working in business intelligence, analytics, data engineering, or a similar role Strong business and product sense: ability to shape complex, vague questions that touch multiple product/project areas into well-defined analyses that drive business decisions Advanced SQL and Python expertise Advanced experience with dashboarding/data visualization (i.e. Google Data Studio, Tableau, Looker or similar). Ability to work in a self-guided manner and deliver on tight timelines and prioritize tasks while maintaining quality and detail. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds - Preferred Qualifications - Experience in experimental design and analysis, exploratory data analysis, data modelling and statistical analysis. Data engineering/pipeline creation experience. Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment. Experience working with Product and Engineering teams

Bring your skills and experience and be part of our global team supporting application and product owners that are delivering new and emerging technologies into the firm, advancing innovation and competitive advantage. As a Tech Risk & Controls Lead in Chief Technology Office , with in the Technology resiliency team you will be key leader on our global resiliency strategy, execution and compliance. Your role will involve being a key APAC point of contact for Technology Resiliency and you will be instrumental in promoting the continuous improvement of our Resiliency Operating Framework, ensuring it aligns with our firmwide and regulatory obligations. Job responsibilities Support the resiliency operating model framework, providing domain expertise as guidance to application and product owners, ensuring all resiliency-related compliance objectives are met on time. Collaborate with stakeholders, including Application Owners, Product Owners, Engineers, Tech and Business Control Managers, and Software Reliability Engineers to ensure alignment and integration of resiliency practices across the firm. Achieve risk and performance measures to continuously validate and assess the effectiveness of resiliency controls, incorporating them into reporting and escalation processes. Participate in post-incident response, planning, and root cause analysis to ensure quick lessons learned from disruptions and establish action items for resiliency gap remediation. Support the development and implementation of our comprehensive resiliency strategy that integrates business and technology risk management to mitigate risks associated with disruptive events. Develop and maintain compliance reporting and dashboarding to provide clear visibility into resiliency metrics and objectives. Ensure timely and accurate communication to stakeholders and leadership, utilizing data from functional reports. Support regulatory exams, audits, and 2nd Line compliance initiatives, ensuring functional reports are aligned with compliance requirements. Required qualifications, capabilities, and skills Formal training or certification on Tech resiliency concepts and 5+ years applied experience Knowledge in core infrastructure technologies (including virtualization platforms, database, storage, replication, backup, etc.) Experience with cloud provider products and services, specifically AWS. Python automation skills and should be able to Manage and maintain simple Python scripts that automate routine tasks and processes, ensuring efficiency and accuracy in daily operations Understanding of IT security principles and best practices. Strong analytical and problem-solving skills with attention to detail and accuracy. Expert in managing relationships, partnering with stakeholders, and resolving conflict to deliver solutions that meet the needs of the business. Preferred qualifications, capabilities, and skills Financial Services industry experience Data analytics skills.

JOB DESCRIPTION Bring your skills and experience and be part of our global team supporting application and product owners that are delivering new and emerging technologies into the firm, advancing innovation and competitive advantage. As a Tech Risk & Controls Lead in Chief Technology Office , with in the Technology resiliency team you will be key leader on our global resiliency strategy, execution and compliance. Your role will involve being a key APAC point of contact for Technology Resiliency and you will be instrumental in promoting the continuous improvement of our Resiliency Operating Framework, ensuring it aligns with our firmwide and regulatory obligations. Job responsibilities Support the resiliency operating model framework, providing domain expertise as guidance to application and product owners, ensuring all resiliency-related compliance objectives are met on time. Collaborate with stakeholders, including Application Owners, Product Owners, Engineers, Tech and Business Control Managers, and Software Reliability Engineers to ensure alignment and integration of resiliency practices across the firm. Achieve risk and performance measures to continuously validate and assess the effectiveness of resiliency controls, incorporating them into reporting and escalation processes. Participate in post-incident response, planning, and root cause analysis to ensure quick lessons learned from disruptions and establish action items for resiliency gap remediation. Support the development and implementation of our comprehensive resiliency strategy that integrates business and technology risk management to mitigate risks associated with disruptive events. Develop and maintain compliance reporting and dashboarding to provide clear visibility into resiliency metrics and objectives. Ensure timely and accurate communication to stakeholders and leadership, utilizing data from functional reports. Support regulatory exams, audits, and 2nd Line compliance initiatives, ensuring functional reports are aligned with compliance requirements. Required qualifications, capabilities, and skills Formal training or certification on Tech resiliency concepts and 5+ years applied experience Knowledge in core infrastructure technologies (including virtualization platforms, database, storage, replication, backup, etc.) Experience with cloud provider products and services, specifically AWS. Python automation skills and should be able to Manage and maintain simple Python scripts that automate routine tasks and processes, ensuring efficiency and accuracy in daily operations Understanding of IT security principles and best practices. Strong analytical and problem-solving skills with attention to detail and accuracy. Expert in managing relationships, partnering with stakeholders, and resolving conflict to deliver solutions that meet the needs of the business. Preferred qualifications, capabilities, and skills Financial Services industry experience Data analytics skills. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Join the team that makes a difference India’s leading Business Intelligence and Data analytics company with tremendous growth opportunities. Whether you are a fresh graduate or an experienced professional, working at AIONTECH Solutions is both challenging and extraordinarily rewarding. Snowflake Developer Full Time - Hyderabad, Bangalore & Chennai - Posted 2 months ago Job Title: Snowflake Developer Location: Hyderabad, Bangalore & Chennai - India Department: Data Engineering | Full-time | On-site About ATS Data Engineering: ATS Data Engineering department is responsible for designing, building, and maintaining the scalable data infrastructure that powers the company’s analytics, AI models, and business intelligence efforts. The team works closely with stakeholders across Engineering, Product, and Business units to ensure clean, reliable, and accessible data for decision-making and product features. Role Overview: As a Data Engineer , you will be responsible for designing, implementing, and maintaining our data pipelines and warehouse solutions. You will work closely with analysts and business teams to ensure that clean, reliable, and well-structured data is available for decision-making. The ideal candidate is eager to solve complex problems, optimize data operations, and grow their skills in a dynamic startup environment. Key Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines to integrate various data sources into Snowflake. Optimize data warehouse architecture and performance to support analytics and dashboarding needs. Collaborate with analysts and business teams to understand data requirements and ensure accessibility. Ensure data integrity, security, and governance across all data workflows. Work with modern data tools and frameworks to automate and improve data processing. Develop and maintain monitoring systems to detect and resolve data pipeline failures efficiently. Continuously evaluate and improve data workflows and processing efficiency. What We're Looking For: 3-4+ years of experience in data engineering, preferably in a fast-paced startup environment. Strong experience with Snowflake, including warehouse optimization and SQL performance tuning. Proficiency in SQL and Python for data transformation and automation. Hands-on experience with ETL/ELT tools and frameworks (e.g., dbt preferable). Experience in data modelling and schema design for analytics dashboarding and reporting tools (e.g., Looker, Tableau, Power BI). Optimizing data for visualization. Strong problem-solving skills and eagerness to learn new technologies. Why Join Us: High-growth environment with career acceleration opportunities. Fixed salary + attractive incentive structure. Exposure to top clients and enterprise accounts. Be a core part of a young, fast-moving, and mission-driven team.

About The Company Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications Job Description The role is part of the finance Centre of Excellence primarily as acting as a data analyst and will support planning & analysis in any one or more areas of finance including reporting & compliance, taxation, and treasury related areas. FPA COE is function under ambit of Planning and Analytics within FP&A- This role is primarily responsible for base data management, transformation of data to preliminary analytics, dashboarding and automation on all financial and non-financial parameters, which aid to management for business decision making Candidate will be responsible for overseeing data systems and overall reporting frameworks in FPA, and ensure the integrity and precision of data to generate insights and drive strategic business decisions. Responsibilities For the Planning and Analytics vertical, eligible candidate should be able to end to end data management including below, Data collection: Gathering data from primary or secondary sources, such as sales numbers, market research, or logistics. Data preparation: Cleaning and preprocessing data for accuracy Data analysis: Using statistical techniques to analyze data, identify patterns and trends, and perform complex analyses Data presentation: Creating visualizations and reports for stakeholders, using charts and graphs to present results Data management: Maintaining databases and utilizing SQL for data handling. Staying updated on industry trends and new technologies Business challenges: Addressing specific business challenges with analytical solutions Collaboration: Collaborating with cross-functional teams and providing technical support and mentoring to other analysts Quality assurance: Participating in quality assurance activities and supervising performance and quality assurance processes to pinpoint areas for enhancement In addition, candidate should have good communication and collaboration skills for cross-functional teams and providing technical support to other analysts Immediate Attention - GR and others dashboards control and data security with data hosting solution etc. GR dashboard analytics like with business ops. Documentation of process. Simplification(using SQL, python etc.) and regularization of ad hoc tasks. Hygiene parameters on accuracy check and other aspects. Customer master ownership. (align asks from Sachin, Business ops (Amol J or Anup), SIP team) Regular - Long Term Revenue MIS -Automation and Data Models for Dashboard NR review -Exception tracker - Data models and exception report dashboards Regional P&L Customer KPI ETR Model and automation MIS repository Data models for Forecasting and outlook. Minimum Qualification & Experience BTECH,MTECH, BCA, MCA or equivalent. Degree or Certification in relation to data management (like Data Science, Business Analysis, Python, Web Technologies etc.) 2 to 3 years experience in Finance MIS and analytics in telecom industry or equivalent related field. Desired Skill sets Power BI \ Qlik sense Skills \ Python SAP exposure required. Exceptional knowledge of Advanced Excel. Familiarity with finance and statistical analysis software Understanding of financial and accounting principles Understanding across finance domains (taxation, treasury etc.)

Observability & SRE Engineer – Azure & Splunk We are looking for a highly skilled Observability and Site Reliability Engineer (SRE) with strong experience in Splunk integration with Azure , cloud-native monitoring, and chaos engineering practices . The ideal candidate will play a key role in improving system reliability, monitoring capabilities, and resilience across our Azure cloud infrastructure. Key Responsibilities: Design, implement, and manage observability solutions using Splunk integrated with Azure Monitor, Log Analytics, and Application Insights . Develop and maintain monitoring, alerting, and dashboarding solutions to ensure system health and performance. Implement Azure Chaos Engineering tools and scenarios to proactively test the resilience of cloud applications. Collaborate with application and infrastructure teams to identify SLOs/SLIs and define reliability objectives. Automate incident detection and response processes using Splunk alerts, Azure Automation, and scripting. Conduct root cause analysis (RCA) and post-incident reviews to drive continuous improvement. Drive the adoption of SRE principles and practices across engineering teams. Must-Have Skills: Strong hands-on experience with Splunk including log ingestion, parsing, alerting, and dashboard creation. Proficiency with Azure services , especially Azure Monitor, Log Analytics, and Application Insights. Practical experience with Azure Chaos Studio or equivalent chaos engineering tools. Deep understanding of SRE practices , including SLIs/SLOs, error budgets, incident management, and reliability metrics. Experience with scripting languages (PowerShell, Python, Bash) for automation and tooling. Strong troubleshooting and analytical skills in complex distributed systems. Job Types: Full-time, Contractual / Temporary Contract length: 3 months Pay: ₹150,000.00 - ₹170,000.00 per month Shift: Rotational shift Work Days: Monday to Friday Weekend availability Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your current and expected CTC If selected how soon can you join Experience: Observability Azure & Splunk: 6 years (Required) Work Location: In person

📌 Job Opportunity: Project Management Location: Mumbai (Hybrid) Experience Required: 7–8 Years Notice Period: Immediate to 30 Days About the Role: We are hiring a highly motivated and experienced professional to join the Technology CAO organization in India GC. The ideal candidate will support employee, workplace, and risk initiatives while managing stakeholder coordination, project tracking, reporting, and continuous process improvement efforts. 🔧 Key Responsibilities: Drive and manage strategic and tactical initiatives under the CAO function Liaise with stakeholders to ensure smooth execution of initiatives and timely resolution of issues Prepare and deliver high-quality management decks and reports for senior leadership Lead and track projects/process improvements across the business units Handle escalations with systemic problem-solving approaches Support cross-functional teams on short-term projects as required Report on project metrics and ensure deliverables are met ✅ Must-Have Skills: 7–8 years of relevant experience in Project Management, PMO, or COO roles in MNCs Proficiency in dashboarding tools like Power BI , Tableau Hands-on experience with automation tools such as Python , Power Automate Familiarity with workflow tools like UI-Path , Pega , PowerApps Strong in Excel and PowerPoint ✨ Nice-to-Have: Prior experience in the BFSI industry Exposure to business operations and governance functions 📩 Interested candidates can share their resume at: 📧 swagatika.s@twsol.com

As the Senior Manager/Director Regional HR at Prozo, you will play a pivotal role in shaping the organizational culture and talent engine of the company. Your key responsibilities will involve talent acquisition and workforce planning, solution design support, HR leadership and governance, employee engagement and learning & development, as well as MIS, dashboarding, and reviews. You will collaborate closely with Regional Heads, VP Operations, and the COO to ensure proactive HR support at all sites, requiring frequent travel to FCs to audit, engage, and enhance HR effectiveness on the ground. With 6-12 years of HR experience in warehousing, logistics, e-commerce, or manpower-heavy operations, you will bring proven expertise in wage cost structuring, labor law monitoring, and supporting commercial teams during client onboarding or RFQs. Proficiency in HR dashboards, reporting, and data-driven people decisions is essential, along with the ability to manage HR teams across regions and willingness to travel frequently to operational sites. An MBA/PGDM in HR from a Tier-2/3 institute is preferred. At Prozo, you will have the opportunity to work closely with CXOs and founders on strategic people initiatives in a fast-paced, entrepreneurial environment where you will have ownership from Day 1. The company offers a strong people-first work culture focused on trust, excellence, and merit. To apply for this role, please submit your resume along with a cover letter showcasing your relevant experience and passion for working at Prozo. Highlight any past projects or achievements that demonstrate your capability in warehousing, logistics, and technology-driven supply chain solutions. Prozo is proud to be an equal opportunity employer that celebrates diversity and is dedicated to fostering an inclusive environment for all employees.,

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form . Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. About The Role As a member of the GSS DAS team, you will have the opportunity to drive the analysis behind various operations and product-related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in Program Managing multiple data-driven projects. What You Will Do The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. Following would be what you will do day-to-day: Develop end-to-end analytical solutions using large, complex data sets - from data extraction and transformation to visualization and storytelling. Translate data into clear, actionable insights and recommendations for both technical and non-technical audiences. Design and maintain KPI tracking systems to monitor complex, cross-functional business metrics across Uber's global operations. Lead deep-dive analyses to inform product strategy, operational efficiency, and growth opportunities. Build and maintain dashboards using data visualization tools (e.g., Tableau, Looker), ensuring accuracy, consistency, and stakeholder alignment. Drive experiment design, A/B testing, and statistical analysis to evaluate product and business impact. Collaborate closely with product managers, engineers, and cross-functional partners to define goals, interpret data, and influence decision-making. Identify opportunities to automate manual workflows and reporting processes for stakeholders, enabling scalable, self-serve solutions that reduce operational overhead and improve decision-making speed. Lead vendor data analysts in project execution and ensure high-quality, timely deliverables. Build documentation and drive long-term process improvements, contributing to team-wide best practices and operational excellence. What You Will Need Bachelors or M.S. in Statistics, Economics, Computer Science, or other quantitative fields. Minimum 4 years experience working in business intelligence, analytics, data engineering, or a similar role Strong business and product sense: ability to shape complex, vague questions that touch multiple product/project areas into well-defined analyses that drive business decisions Advanced SQL and Python expertise Advanced experience with dashboarding/data visualization (i.e. Google Data Studio, Tableau, Looker or similar). Ability to work in a self-guided manner and deliver on tight timelines and prioritize tasks while maintaining quality and detail. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds Preferred Qualifications Experience in experimental design and analysis, exploratory data analysis, data modelling and statistical analysis. Data engineering/pipeline creation experience. Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment. Experience working with Product and Engineering teams

Job Location : Noida Job Role : Sr. AI/ML/ Data Scientist Overview We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. About The Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research Required : Strong fundamentals in machine learning, deep learning, and natural language processing (NLP). Proficiency in Python, with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closedand open-source models). Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM evaluation strategies. Experience working with REST APIs, data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred Familiarity with the chemical or energy industry, or prior experience in market research/analyst workflows. Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD). Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone, or ChromaDB. Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. (ref:hirist.tech)

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form . Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. About The Role As a member of the GSS DAS team, you will have the opportunity to drive the analysis behind various operations and product-related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in Program Managing multiple data-driven projects. What You Will Do The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. Following would be what you will do day-to-day: Develop end-to-end analytical solutions using large, complex data sets - from data extraction and transformation to visualization and storytelling. Translate data into clear, actionable insights and recommendations for both technical and non-technical audiences. Design and maintain KPI tracking systems to monitor complex, cross-functional business metrics across Uber's global operations. Lead deep-dive analyses to inform product strategy, operational efficiency, and growth opportunities. Build and maintain dashboards using data visualization tools (e.g., Tableau, Looker), ensuring accuracy, consistency, and stakeholder alignment. Drive experiment design, A/B testing, and statistical analysis to evaluate product and business impact. Collaborate closely with product managers, engineers, and cross-functional partners to define goals, interpret data, and influence decision-making. Identify opportunities to automate manual workflows and reporting processes for stakeholders, enabling scalable, self-serve solutions that reduce operational overhead and improve decision-making speed. Lead vendor data analysts in project execution and ensure high-quality, timely deliverables. Build documentation and drive long-term process improvements, contributing to team-wide best practices and operational excellence. What You Will Need Bachelors or M.S. in Statistics, Economics, Computer Science, or other quantitative fields. Minimum 4 years experience working in business intelligence, analytics, data engineering, or a similar role Strong business and product sense: ability to shape complex, vague questions that touch multiple product/project areas into well-defined analyses that drive business decisions Advanced SQL and Python expertise Advanced experience with dashboarding/data visualization (i.e. Google Data Studio, Tableau, Looker or similar). Ability to work in a self-guided manner and deliver on tight timelines and prioritize tasks while maintaining quality and detail. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds Preferred Qualifications Experience in experimental design and analysis, exploratory data analysis, data modelling and statistical analysis. Data engineering/pipeline creation experience. Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment. Experience working with Product and Engineering teams

You are a highly analytical and detail-oriented Performance Analytics Specialist being sought to join our team. Your main responsibility will be to design and implement data-driven solutions aimed at monitoring, assessing, and enhancing operational and business performance, particularly within the pharmaceutical industry. A strong foundation in data science, statistical analysis, and business intelligence tools is essential for this role, with a specific focus on aligning with FDA standards and pharmaceutical KPIs. Your key responsibilities will include developing and maintaining performance dashboards using tools such as Power BI, Tableau, and other BI tools. You will analyze operational and business data to identify trends, gaps, and improvement opportunities. Collaboration with cross-functional teams, including MES, QA, and manufacturing, is crucial to align analytics with FDA and pharmaceutical standards. You will design and implement KPI frameworks and performance management indicators, as well as conduct statistical analysis and build predictive models to support decision-making. Ensuring data quality, integrity, and compliance with regulatory standards is paramount, along with automating data processing and reporting workflows using SQL, Python, or R. Your ability to translate complex data into actionable insights for senior management will be essential. Your primary skills should include proficiency in Business Intelligence Tools such as Microsoft Power BI and Tableau, expertise in Data Analysis & Visualization including dashboarding, KPI tracking, and performance metrics, as well as Statistical Analysis proficiency in R, Python, or statistical software. Data Management & Querying skills, including SQL, data processing, and data quality assurance, are also required. Industry Knowledge in Pharmaceutical standards, FDA compliance, and MES systems, as well as experience in Performance Management involving operational KPIs and performance assessment frameworks, will be beneficial. Your secondary skills may involve Programming using Python and R for automation and modeling, Mathematics & Statistics knowledge encompassing applied statistics, regression, and forecasting, as well as Software Development skills for basic scripting in data pipelines. An understanding of Science & Research within pharmaceutical R&D and production environments, familiarity with Technology & IT including relational databases and data warehousing concepts, and effective Communication skills to present insights to technical and non-technical stakeholders will also be advantageous. Preferred qualifications for this role include a Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field, experience in the pharmaceutical or healthcare industry, familiarity with MES systems and FDA regulatory frameworks, and certifications in Power BI, Tableau, or other data analytics tools.,