5336 Data Visualization Jobs - Page 48

You have a fantastic opportunity to join YASH Technologies as a Business Analysis Professional. With 7-10 years of experience in Data & Analytics projects, you will be responsible for expertise in MDM data mappings, analysis, and configuration. Your role will involve collaborating with Subject Matter Experts to understand functional requirements and lead the preparation of data mapping sheets. Your strong analytical and troubleshooting skills will be crucial as you delve into data profiling, understanding data patterns, and comprehending data models and entity relationships. Proficiency in SQL, ETL, and Data warehousing is essential, and experience in Snowflake would be advantageous. Additionally, you will be involved in functional testing, system testing, and UAT for data validation. Having domain knowledge in the Manufacturing area, particularly in the BOM subject area, would be beneficial. Excellent communication and interpersonal skills are necessary as you engage in technical writing, data modeling, and data sampling. Experience in Agile Scrum development environments, creating User stories, product backlogs, and attending scrum events will be part of your responsibilities. You will play a key role in scheduling calls with business users, providing technical assistance to the development team, and collaborating with stakeholders to gather requirements. Proven analytics skills, including data mining, evaluation, and visualization, will be essential. Strong SQL or Excel skills are required, with a willingness to learn other analytics tools. Your responsibilities will also include defining and implementing data acquisition and integration logic, analyzing data to answer key questions, and developing and maintaining databases. Project roadmap management, scheduling, PMO updates, and conflict resolution are part of the role. At YASH, you will have the opportunity to shape your career in an inclusive team environment that values continuous learning and growth. Our Hyperlearning workplace is built on flexibility, agility, trust, and support for achieving business goals, providing a stable employment with a positive atmosphere and ethical corporate culture. Join us at YASH Technologies and be part of a team that drives positive changes in a virtual world.,

The company WNS (Holdings) Limited, a leading Business Process Management (BPM) company, leverages industry knowledge, technology, and analytics to co-create innovative solutions with clients across 10 industries. The company enables businesses to reimagine their digital future and achieve operational excellence in various sectors such as Travel, Insurance, Banking, Financial Services, Manufacturing, Retail, Shipping, Logistics, Healthcare, and Utilities. WNS delivers a wide range of BPM services in finance, accounting, procurement, customer interaction, and human resources through collaborative models tailored to each client's unique business challenges. With a workforce of 44,000+ employees, WNS co-creates and executes the future vision of over 400 clients. The job is located in Pune, Vizag, or Nashik, and the mode of work is from the office with general shifts (no night shifts involved). The fixed week offs are on Saturdays and Sundays. Technical Skills and Proficiency - Proficiency in Advance Excel, VBA, Python, RPA, C, JavaScript, HTML, CSS, MS Access, and SQL. - Experience in Object-Oriented Programming, SOLID Principles, Design Pattern, and tools like Power BI for frontend and backend development. - Proficiency in data visualization and team management experience. - Actively engage in bug resolution and new feature delivery for high-quality technical solutions. - Support engineering and product teams to maintain technical excellence, reliability, and user-friendly interfaces. - Estimate project efforts, identify risks, and manage project schedules to meet deadlines. - Collaborate with developers and stakeholders to understand user requirements and ensure visually consistent design language across reports and automations. - Create BRD, process flows, and style guides for visually appealing and highly functional designs. - Establish and maintain comprehensive documentation for standardized design elements, ensuring a unified visual identity and user experience. - Conduct usability testing on interfaces for feedback and iterate designs to improve user interface and experience. - Collaborate effectively with developers and possess specialized UI/UX design courses or certifications such as GEN AI Certification. Qualifications - Graduate degree. - Effective communication skills for collaborating with diverse teams, empathy to understand user needs, and the ability to present design concepts. - Collaboration, adaptability, and diplomacy are essential for successful interaction with developers, stakeholders, and global teams.,

As the Spares/Services Procurement at Micron Technology, you will play a crucial role in developing procurement strategies for Spares and Services, leading global initiatives, and driving innovation in advanced analytics and artificial intelligence. Your responsibilities will include aligning team and individual goals with corporate business objectives, ensuring high performance within the team and department, and implementing transformative category initiatives. You will be tasked with driving the adoption of Advanced Analytics and Artificial Intelligence in FE Spares, leveraging digital dexterity for Spares digital business transformation, enabling savings opportunities through data visualization and business intelligence, and conducting data-driven analysis. Your strong business acumen and industry knowledge will be essential in connecting leadership and stakeholder data needs. Managing supplier relationships will be a key aspect of your role, where you will act as the primary point of contact for assigned suppliers and projects, perform commercial supplier qualification activities, maintain collaborative relationships with suppliers, and ensure compliance with Micron's business ethics and safety policies. You will also communicate key supplier management updates to various levels within the organization and provide the voice of the supply base to Micron. Interface with stakeholders, partners, and suppliers on category strategies will be crucial in driving buy-in to global strategies, escalating issues when necessary, and communicating sourcing goals and initiatives. You will collaborate with stakeholders to deliver strategic solutions, maintain expertise in spend categories, monitor stakeholder satisfaction, and manage conflicts effectively. Additionally, you will provide advice to senior and executive management on strategic decisions related to the category. Micron Technology, Inc. is a leading industry player in memory and storage solutions, focusing on transforming how information is used to enrich life. With a strong emphasis on technology leadership, operational excellence, and customer satisfaction, Micron delivers high-performance memory and storage products through its Micron and Crucial brands, driving innovations in artificial intelligence and 5G applications. To know more about Micron Technology, Inc., please visit micron.com/careers. For assistance with the application process or reasonable accommodations, contact hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all relevant laws, regulations, and international labor standards.,

The Senior Specialist, Global Commercial Pharma Pipeline Analytics in the Human Health Digital Data and Analytics (HHDDA) team is responsible for developing and delivering data and analytics to generate strategic insights and address global brand leads business questions related to pharma pipeline investments and beyond G7 investments. This role involves partnering closely with global marketing, regional marketing, clinical and discovery, finance & enterprise strategy teams to support executive decision making through analytics support for clinical development, business development, and alliances/partnerships decisions. The Senior Specialist will collaborate with pipeline forecasting capabilities using real-world, market research, and financial data to establish analytics capabilities for early commercial marketing framework. They will lead the development of analytics capabilities for the pharma pipeline in assigned therapeutic areas such as infectious diseases/HIV, immunology, cardiovascular, and/or ophthalmology disease areas. Additionally, this role involves embedding enterprise go-to-market strategy in early commercial strategy for beyond G7 investments. Primary Responsibilities: - Develop commercial insights solutions, business cases, and market evaluation to support decision making for the pharma pipeline and business development. - Partner with global marketing teams, operations, and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development. - Provide transparency and commercial insights on the pipeline portfolio related to market dynamics, competitive insights, patient journeys, and access considerations. - Lead benchmarking analytics to translate insights into recommended business actions for pipeline development choices. - Deliver hands-on analytics project with expertise in data manipulation, analysis, and visualization using various tools and technologies. Required Experience and Skills: - Bachelor's degree, preferably in a scientific, engineering, or business-related field. - 8+ years of overall experience and 4+ years of relevant experience in marketing, clinical development, commercial/advanced analytics, asset portfolio management, strategic planning, insights syndication within the pharmaceutical or biotechnology industry. - Strong problem-solving abilities and experience in conducting secondary data analytics on large datasets using relevant skills. - Deep understanding and hands-on expertise in pharma commercial data ecosystem and visualization tools. - Experience in building patient analytics and patient journey from commercial and real-world datasets. - Strong communication skills, relationship-building, and influencing skills. Preferred Experience and Skills: - Experience in healthcare data, insights, and analytics. - Experience in Life Science or consulting industry. - Advanced degree preferred. - Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic, and/or ophthalmology/rare diseases preferred. - Global experience preferred. The Human Health Division at Merck & Co., Inc. maintains a patient-first, profits-later ideology and values diversity and inclusivity in the workplace. The company is committed to fostering an inclusive and diverse environment and encourages collaboration amongst colleagues with diverse ideas. Merck & Co., Inc. is an equal opportunity employer. Please note that this job posting is effective until 07/20/2025. All applications must be submitted before 11:59:59 PM on the day BEFORE the job posting end date.,

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by deriving valuable insights from data and effectively communicating your findings to various stakeholders. Your primary responsibilities will involve analyzing data using mathematical, statistical, and machine learning techniques to create actionable insights that drive data-driven decision making within the organization. Your key contributions will include formulating hypotheses, testing them through statistical modeling, and identifying trends or patterns that can be used to develop custom models or prototypes. You will collaborate with cross-functional teams to implement these models, monitor their performance, and ensure data accuracy throughout the process. In addition to your quantitative skillset and experience in statistics, you will leverage your knowledge of statistical programming languages such as R, Python, and SQL to process and gain insights from data. Your expertise in machine learning techniques, advanced statistical concepts, and data mining will be essential in developing analytics models that support decision-making processes. Furthermore, you will be responsible for exploring and experimenting with data visualization tools to effectively showcase data to stakeholders. Your ability to evaluate the need for analytics, select appropriate techniques, and generate valuable insights will be critical in driving innovation and maximizing value within the Data & Analytics function. As a strategic advisor, you will lead data science engagements, shape the organization's data science capabilities, and define internal standards for application development. Your role will involve designing enterprise-level data science applications, recommending suitable tools and technologies, and promoting responsible AI adoption within the organization. In summary, as a Senior Data Scientist at Mondelz International, you will be at the forefront of data-driven decision making, leading data science projects from concept to deployment, and driving innovation through the application of advanced analytics techniques. If you are ready to contribute your expertise and accelerate your career in the field of data science, we invite you to join our mission to lead the future of snacking at Mondelz International.,

You will be responsible for developing and implementing predictive models and machine learning algorithms to address logistics-related challenges like demand forecasting, route optimization, inventory prediction, and shipment delay analysis. This involves analyzing large volumes of structured and unstructured logistics data from systems like TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and ERP platforms. Your role will also include designing and maintaining dashboards and visualizations to monitor supply chain KPIs, operational performance, and model outputs using tools such as Power BI, Tableau, or similar platforms. Collaboration with logistics, operations, procurement, and IT teams will be essential to comprehend business challenges and translate them into data science solutions. You will utilize SQL, Python, R, and big data tools to extract, clean, and prepare datasets for analysis and modeling purposes. Additionally, deploying models into production and monitoring their performance to ensure accuracy and reliability over time will be part of your responsibilities. In this position, you will contribute to strategic initiatives like logistics network design, warehouse automation, and sustainability optimization. Conducting A/B testing and causal inference to evaluate changes in supply chain processes and logistics strategies will also be a key aspect of your role. This is a full-time position with benefits including health insurance and provident fund. The work schedule is during day shifts and the work location is in person.,

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data, understanding fraud patterns, and developing fraud loss mitigation strategies to minimize fraud losses and customer impact. You will be responsible for monitoring strategy performance, collaborating with the implementation team, and proactively leveraging new data sources and advanced analytics techniques for fraud loss mitigation. You will be expected to conduct hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and monitor strategy performance. Proficiency in Logistic Regression/ ML Model development, regardless of the programming language, is essential. Your role will require thought leadership in designing, developing, and implementing Machine Learning solutions. Having a holistic view of retail banking products, best practices, and integrating analytical thinking with business knowledge is crucial. Experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling are necessary. Strong skills in SAS, SQL, Hive, Impala, and Excel are expected, with knowledge in Python being desirable. Previous experience in Fraud Analytics and familiarity with Tableau or other data visualization tools are advantageous. Stakeholder management across various functions and regions, translating data into consumer insights, effective communication with business partners and senior leaders, and delivering clear presentations are key aspects of the role. You will also be responsible for project management, including creating project plans, assigning responsibilities, completing projects in a timely manner, and supporting regulatory/audit activities and risk control efforts when required. Qualifications: - 8+ years of analytics experience, including model development, with prior Fraud analytics experience preferred - Good knowledge of Python, SQL, and Big Data, with familiarity in ML/DL applications like Keras, TensorFlow, Python Scikit - Advanced analytical and business strategy skills - Effective communication and presentation skills - Project and process management abilities - Experience in financial services analytics - Strong organizational and multitasking skills - Self-starter with a collaborative team spirit Education: - Bachelors/University degree or equivalent experience, Masters degree preferred In this role, you will be part of the Decision Management job family, focusing on Specialized Analytics (Data Science/Computational Statistics) on a full-time basis. If you require accommodation due to a disability, review the Accessibility at Citi guidelines. For information on Citi's EEO Policy Statement and Know Your Rights, refer to the provided resources.,

You will be responsible for leading the Yield Management System team for a 300mm Wafer Fab at Tata Electronics Private Limited. Your role will involve collaborating with the Digital/IT team to design and develop Yield Management software and Database. You will be tasked with creating a Data Integration framework to collect data from various sources such as E-test, Defect Inspection, Inline Metrology, and Sort. Additionally, you will develop algorithms for data analysis to facilitate root cause understanding and yield optimization using Yield Analysis Tools. It will be crucial for you to work closely with PI/YE, CFM teams, and vendors to drive continuous system improvements. Automation & Reporting will also be a key aspect of your role, where you will be required to generate Automated yield reports. Cross-Functional Collaboration is essential as you will need to work with Product Engineering and Process Integration teams to gather requirements for building software that supports yield management. Ensuring the reliability and scalability of the software for handling high volume data will also be part of your responsibilities. You will be expected to provide updates to internal and customer senior executives and be willing to travel as needed. The ideal candidate for this position should possess essential attributes such as being self-driven, independent, and results-oriented. Strong cross-functional collaboration skills across global teams, a continuous learning mindset, curiosity, data-driven approach, and resilience in problem-solving are highly valued. You should also be an open, humble, and relationship-focused communicator who is creative, agile, and adaptable to change. Qualifications: - Minimum Bachelors degree in electrical engineering, computer science, or equivalent; Advanced degree preferred - Experience in data analysis, failure/defect analysis, and yield improvement - Strong understanding of device physics, process integration, yield improvement, and failure mechanisms - Familiarity with statistical techniques, data visualization techniques, operations dashboards, process modules, and metrology/defect inspection tools - Knowledge of AI/ML basics with an innovation mindset Desired Experience: - 10+ years experience in the semiconductor industry with specific expertise in E-test / Wafer Sort - Proven structured problem-solving skills using methods like 8D - Proficiency in programming and managing E-test systems,

You are part of a global energy business that plays a crucial role in delivering light, heat, and mobility to millions of people daily. Guided by bp values, you will contribute to meeting the world's energy needs while reducing carbon emissions. In Pune offices, you will be involved in customer service, finance, accounting, procurement, HR services, and other enabling functions as an integral part of bp. As a Finance Graduate, your main responsibility is to support the finance team by providing essential financial services and reporting. This includes assisting in preparing financial reports, conducting analyses, and ensuring the accuracy and timeliness of financial data. Your role also involves ensuring compliance with internal policies and external regulations, thereby contributing to operational excellence and superior service delivery. Collaboration with team members is key in performing various financial tasks such as data reconciliation, budgeting, and audit support. This role will help you build a strong foundation in financial skills and gain valuable experience in the energy sector by working closely with experienced professionals to support financial operations. Key responsibilities include aiding in month-end close activities, maintaining financial databases for data integrity, preparing financial statements, suggesting improvements to financial processes, analyzing financial data, and supporting budgeting and forecasting processes. You will face challenges in resolving complex issues, influencing groups with differing priorities, adapting to changing reporting requirements, and demonstrating a strong understanding of financial accounting processes. To qualify for this role, you need a Bachelor's degree in finance, accounting, economics, or a related field, along with 0-2 years of experience in finance or accounting. Proficiency in Microsoft Excel, strong analytical skills, attention to detail, effective interpersonal skills, and the ability to work independently and collaboratively are essential. English language proficiency is required, and negligible travel is expected. This position offers the opportunity for relocation within the country and involves a hybrid of office and remote working. In summary, as a Finance Graduate at this global energy company, you will play a vital role in supporting the finance team, ensuring financial accuracy and compliance, and contributing to operational excellence. You will have the opportunity to develop your financial skills, work with experienced professionals, and contribute to meeting the world's energy needs while reducing carbon emissions.,

You are an experienced Data Engineer who will be responsible for leading the end-to-end migration of the data analytics and reporting environment to Looker at Frequence. Your role will involve designing scalable data models, translating business logic into LookML, and empowering teams across the organization with self-service analytics and actionable insights. You will collaborate closely with stakeholders from data, engineering, and business teams to ensure a smooth transition to Looker, establish best practices for data modeling, governance, and dashboard development. Your responsibilities will include: - Leading the migration of existing BI tools, dashboards, and reporting infrastructure to Looker - Designing, developing, and maintaining scalable LookML data models, dimensions, measures, and explores - Creating intuitive, actionable, and visually compelling Looker dashboards and reports - Collaborating with data engineers and analysts to ensure consistency across data sources - Translating business requirements into technical specifications and LookML implementations - Optimizing SQL queries and LookML models for performance and scalability - Implementing and managing Looker's security settings, permissions, and user roles in alignment with data governance standards - Troubleshooting issues and supporting end users in their Looker adoption - Maintaining version control of LookML projects using Git - Advocating for best practices in BI development, testing, and documentation You should have: - Proven experience with Looker and deep expertise in LookML syntax and functionality - Hands-on experience building and maintaining LookML data models, explores, dimensions, and measures - Strong SQL skills, including complex joins, aggregations, and performance tuning - Experience working with semantic layers and data modeling for analytics - Solid understanding of data analysis and visualization best practices - Ability to create clear, concise, and impactful dashboards and visualizations - Strong problem-solving skills and attention to detail in debugging Looker models and queries - Familiarity with Looker's security features and data governance principles - Experience using version control systems, preferably Git - Excellent communication skills and the ability to work cross-functionally - Familiarity with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift) - Experience migrating from legacy BI tools (e.g., Tableau, Power BI, etc.) to Looker - Experience working in agile data teams and managing BI projects - Familiarity with dbt or other data transformation frameworks At Frequence, you will be part of a dynamic, diverse, innovative, and friendly work environment that values creativity and collaboration. The company embraces differences and believes they drive creativity and innovation. The team consists of individuals from varied backgrounds who are all trail-blazing team players, thinking big and aiming to make a significant impact. Please note that third-party recruiting agencies will not be involved in this search.,

lululemon is an innovative performance apparel company that specializes in providing high-quality products for yoga, running, training, and other athletic activities. Our focus lies in developing technical fabrics and functional designs to create products and experiences that support individuals in their journey of movement, growth, connection, and overall well-being. At lululemon, we attribute our success to our dedication to innovation, our commitment to our people, and the meaningful relationships we establish within the communities we serve. We are dedicated to driving positive change and fostering a healthier and more prosperous future. A key aspect of our mission involves cultivating an environment that is equitable, inclusive, and growth-oriented for all our team members. Our India Tech Hub is instrumental in enhancing our technological capabilities across various domains such as Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. The team in India collaborates closely with our global team on projects of strategic significance. Joining the Content team at lululemon offers an exciting opportunity to contribute to a fast-paced environment that is constantly exploring new initiatives to support our rapidly expanding business. We are a team that embraces cutting-edge technology and is driven by a continuous pursuit of improvement. Innovation is at the core of our ethos, and we encourage each other to step out of our comfort zones and embrace new challenges. Professional and personal growth is paramount to us, and we believe in learning from failures to pave the way for a brighter future. We foster an environment where team members can freely share feedback and ideas, promoting ongoing organizational growth. Operating within an agile methodology, we collaborate with product teams across various functions and a core commerce platform team. At lululemon, we prioritize creating a culture of enjoyment and lightheartedness in our daily work routine. We recognize the strength in unity and celebrate the fact that we are more powerful as a team rather than as individuals. Responsibilities: - Develop Statistical/Machine Learning models/analysis for Merchandising and Planning Business problems - Play a key role in all stages of the Data science project life cycle - Collaborate with Product Management and Business teams to gain Business understanding and collect requirements - Identify necessary data sources and automate the collection process - Conduct pre-processing and exploratory data analysis - Evaluate and interpret results, presenting findings to stakeholders and business leaders - Collaborate with engineering and product development teams to deploy models into production systems when applicable Requirements and Skills: - Demonstrated experience in delivering technical solutions using Time Series/Machine Learning techniques - Proficient in applied Statistical skills, including familiarity with Statistical tests, distributions, etc. - Strong expertise in applied Machine Learning skills such as Time Series, Regression Analysis, Supervised and Unsupervised Learning - Proficient Programming Skills in Python and database query languages like SQL, with additional familiarity with Snowflake & Databricks being advantageous - Experience with time series forecasting techniques like ARIMA, Prophet, Deep AR - Familiarity with data visualization libraries such as Plotly, Business intelligence tools like PowerBI, Tableau - Excellent communication and presentation abilities - Previous experience in the Retail industry Responsibilities: - Identify valuable data sources and automate collection processes - Preprocess structured and unstructured data - Analyze large datasets to identify trends and patterns - Develop predictive models and machine-learning algorithms - Employ ensemble modeling techniques - Utilize data visualization methods to present information effectively - Propose actionable solutions and strategies to address business challenges - Collaborate with engineering and product development teams,

Collect, clean, and analyze large datasets from various sources. Interpret data trends and patterns to provide actionable insights. Develop and maintain dashboards, reports, and visualizations using tools like AI, Tableau, Excel or any other tools. Required Candidate profile Work closely with stakeholders to understand their data needs and translate them into analytical solutions. Create and maintain documentation on data definitions, processes, and reports.

Job Title- IND Senior Analyst I HCS - RIT Solution Line- Talent Solutions Work Location- Gurgaon Working style- Hybrid Cab Facility- Yes Shift Time- 12PM to 9PM People Manager role: No Required education and certifications critical for the role Graduate / Postgraduate Required years of experience 2-4 year of relevant experience AON IS IN THE BUSINESS OF BETTER DECISIONS At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are committed as one firm to our purpose, united through trust as one inclusive, diverse team and we are passionate about helping our colleagues and clients succeed. INFORMATION ABOUT THE BUSINESS: The team works on data collected from different business domains, such as, Rewards, Health, Assessments, HR, McLagan, Radford, and continue to explore avenues for the creation of new analytical products that can become future revenue streams. The team uses advanced applications along with statistical/data-science know-how to do hypothesis testing, prescriptive analysis and predictive analytics on key business/client questions using tools like Python, SQL, Databricks. Insights are reported using visualization tools like Tableau, Power BI, Power Point, or VBA-powered Excel dashboards. The team also uses its skills to support consulting studies/products serviced under the HCS People and Performance Analytics banner. GENERAL DESCRIPTION OF ROLE: A colleague as part of the Rewards Innovation Team may get unique opportunities to work for Aon Clients & worldwide leaders, and contribute towards Aon Strategy. At the same time, utilizing own skills set, one can touch multiple lives across the globe, bring impactful solutions in multiple domains and transform business. It is a unique opportunity to be part of a small team and get visibility amongst Aon Leadership of both onshore and offshore. Nevertheless, the opportunity will open doors with work on the advanced analytics (such as, NLP (text analytics), Machine Learning, etc.) JOB RESPONSIBILITIES: A colleague must be adaptive of acquiring new skills within a short time period based on the business needs. One must have analytical mindset to perform data analysis and data visualization on large data sets. Skills of Problem solving and automation using coding will help a colleague to explore new opportunities, bring efficiency and innovative solutions. The ability to present to senior leaders and create client ready reports are needed. Colleague should have the knowledge of creating SQL queries and perform other database operations (such as, creating views and procedures). SKILLS: Basic knowledge of Rewards Domain, Data Science, Tableau/Power BI, and Stakeholder Management are required. Intermediate knowledge of Statistics, MS applications, VBA, SQL, and Python are required. Data Analysis skills and knowledge of any programming language are preferred. Proficient English Communication, Logical reasoning, Analytical Abilities, Data Interpretation High Data Acumen with good eye for detail and keen sense to seek out patterns. Logical reasoning ability is required with a drive for problem solving. Ability to understand complex requirements and relay complex thoughts across teams is a must. HOW WE SUPPORT OUR COLLEAGUES: In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self. Furthermore, all colleagues enjoy two Global Wellbeing Days each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work... and we are all for it! Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant, and more valued. #LI-RG2 2563946

Roles & Responsibilities : Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Proven track record and experience with with GenAI technologies Open source LLMs like Llama, Gemma, Mixtral etc Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA . . ) Understanding of SLMs such as Phi3, BERT and Transformer architecture Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Expertise with the following scripting languages: Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools Prior experience working on Mobility or Healthcare domain will be a plus

" Jubilant Bhartia Group Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees. Jubilant Pharmova Limited Jubilant Pharmova Limited (formerly Jubilant Life Sciences Limited) is a company with global presence that is involved in Radiopharma, Allergy Immunotherapy, CDMO Sterile Injectables, Contract Research Development and Manufacturing Organisation (CRDMO), Generics and Proprietary Novel Drugs businesses. In the Radiopharma business, the Company is involved in manufacturing and supply of Radiopharmaceuticals with a network of 46 radio-pharmacies in the US. The Company s Allergy Immunotherapy business is involved in the manufacturing and supply of allergic extracts and venom products in the US and in some other markets such as Canada, Europe and Australia. Jubilant through its CDMO Sterile Injectables business offers manufacturing services including sterile fill and finish injectables (both liquid and lyophilization), full-service ophthalmic offer (liquids, ointments & creams) and ampoules. The CRDMO business of the Company includes the Drug Discovery Services business that provides contract research and development services through two world-class research centres in Bangalore and Noida in India and the CDMO-API business that is involved in the manufacturing of Active Pharmaceutical Ingredients. Jubilant Therapeutics is involved in Proprietary Novel Drugs business and is an innovative biopharmaceutical company developing breakthrough therapies in the area of oncology and autoimmune disorders. The company operates six manufacturing facilities that cater to all the regulated market including USA, Europe and other geographies. The Position Organization- Jubilant Pharmova Limited Designation - Data Analyst Location- Noida Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal incumbent will be responsible for collecting, processing, and analysing large datasets to uncover insights that drive strategic decision-making. You will work closely with cross-functional teams to identify trends, create visualizations, and deliver actionable recommendations that support business goals Key Responsibilities. Drive business excellence by identifying opportunities for process optimization, automation, and standardization through data insights. Design, develop, and maintain robust ETL pipelines and SQL queries to ingest, transform, and load data from diverse sources. Build and maintain Excel-based dashboards, models, and reports; automate repetitive tasks using Excel macros, Power Query, or scripting tools. Ensure data quality, integrity, and consistency through profiling, cleansing, validation, and regular monitoring. Translate business questions into analytical problems and deliver actionable insights using statistical techniques and data visualization tools. Collaborate with cross-functional teams (e.g., marketing, finance, operations) to define data requirements and address business challenges. Develop and implement efficient data collection strategies and systems to optimize accuracy and performance. Monitor and troubleshoot data workflows, resolving issues and ensuring compliance with data privacy and security regulations. Document data processes, definitions, and business rules to support transparency, reuse, and continuous improvement. Support continuous improvement initiatives by providing data-driven recommendations that enhance operational efficiency and decision-making. Contribute to the development and implementation of best practices in data management, reporting, and analytics aligned with business goals . Person Profile . Qualification - Bachelor s / Master s degree in Computer Science, Information Systems, Statistics, or a related field. Experience 4-6-Years. Desired Certification & Must Have- 4 6 years of experience in data analysis, preferably in the pharmaceutical industry. Advanced proficiency in SQL (joins, CTEs, window functions, optimization) and expert-level Excel skills (pivot tables, advanced formulas, VBA/macros). Strong understanding of data warehousing, relational databases, and ETL tools (e.g., SSIS, Talend, Informatica). Proficiency in data visualization tools (e.g., Power BI, Tableau) and statistical analysis techniques. Solid analytical and problem-solving skills with attention to detail and the ability to manage complex data sets and multiple priorities. Excellent communication and documentation skills to convey insights to technical and non-technical stakeholders. Familiarity with data modelling, database management, and large-scale data manipulation and cleansing. Demonstrated ability to work collaboratively in Agile/Scrum environments and adapt to evolving business needs. Strong focus on process optimization, continuous improvement, and operational efficiency. Experience in implementing best practices for data governance, quality assurance, and compliance. Ability to identify and drive initiatives that enhance business performance through data-driven decision-making. Exposure to business domains such as finance, operations, or marketing analytics with a strategic mindset Jubilant is an equal opportunity employer. . ",

Job Description Schneider Electric creates connected technologies that reshape industries, transform cities, and enrich lives. Our 135, 000+ employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software, and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment. Schneider Electric is aggressively tackling the issue of climate change by making bold commitments to make its operations carbon neutral by 2025 and net zero carbon emissions by 2030. Not only are we making bold commitments ourselves, but our Sustainability Business Division (SBD) is leading the charge in advising global companies in developing their own bold commitments to curb climate change and maintain less than 1. 5 deg C temperature rise. Additionally, our pursuit of broader environment, social and governance (ESG) leadership has put us in a seat of influence for organizations seeking to establish the right governance, strategy, and transparency for their organizations to act in more equitable, just, and responsible manners. This position will be at the core of this global, all-hands effort for our planet and generations to come and is central to the growth strategy for our expanding Technology Team. If you are passionate about sustainability and supporting the energy transition with digital technologies, come and join our team! With plans to substantially accelerate our already aggressive technology roadmap, we are looking for several roles to support our continued transformation and support our customers on their climate change journey. Qualifications Responsibilities The Business Analyst will develop and manage a clear and actionable backlog, guide feature design, act as a servant-leader to help accelerate the development team and communicate with the organization and customers about our products. The ideal candidate is an experienced Agile Product Owner with strong writing, presentation, organizational, and empathy driven user experience design skills with a keen interest in data visualization, analytics, and usability. Identify, create, and facilitate changes by conducting business and process analysis at a complex level, focusing on quality deliverables and data management Collaborate in the planning, design, development, and deployment of new enhancements to existing applications Define the scope of an actionable project in cooperation with key stakeholders Convey new technology innovation requirements to internal teams responsible for the delivery of these services Identify and guide innovations and enhancements Produce advanced presentations and technical documentation for an audience consisting of associates across various functions and levels of the business Qualifications Engineering Graduate in Any Specialization Min of 5-7 years. of experience in BA or PO Role We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position Requirements and Skills Collaborate regularly with Engineering and Product Management team to distill release level requirement requests into actionable and well estimated plans Build and maintain clean, clear, and actionable product backlogs with well thought through priority and significant runway for development Collaborate regularly with Software Engineers, Quality Assurance, Documentation and Scrum Masters to answer questions, refine stories and designs, enable realistic estimation, and otherwise ensure that development teams have clear enough understanding and priority to deliver Work with Experience Designers and Customers to design, validate, and refine product features so they are powerful but still inclusive for all users Review acceptance criteria and offer constructive feedback on product development as it happens Organize and participate in regular demonstrations to distill relevant feedback from internal stakeholders, and customers Ensure daily that ensure that bugs and stories are triaged and managed in issue tracking systems according to company standards and properly reflected on reporting Ability to work independently and design product features which stand up over time given high level business goals. Must be a strong agile servant-leader who works to help team members achieve success proactively. * Domain experience in Sustainability Services will be an added advantage Schedule: Full-time Req: 009EI1

Design, develop, and maintain interactive dashboards and reports using Tableau. Collaborate with stakeholders to understand data visualization needs and translate them into effective visual solutions. Analyse, interpret, and model large data sets using SQL or Python to uncover insights and support business decisions. Work with cross-functional teams including data engineering, analytics, and business units. Ensure visualizations follow best practices in terms of usability, performance, and storytelling. Identify trends, outliers, and actionable opportunities through visual analysis. Provide thought leadership and subject matter expertise in data visualization and business intelligence. Required Qualification: Minimum 5+ years of experience in data visualization using any BI tool. At least 3+ years of hands-on experience in Tableau (dashboard creation, calculations, filters, parameters, actions, etc. ). Proficient in SQL or Python for data extraction, manipulation, and analysis. Strong analytical thinking, storytelling, and data presentation skills. Excellent communication and collaboration abilities. Preferred Qualifications: Experience in the pharmaceutical or life sciences domain is a strong plus. Familiarity with data warehousing and cloud platforms is advantageous (e. g. , Snowflake, AWS, Azure).

HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President Business Consulting Principal responsibilities Strong understanding of business domain, functional goals, and the required technical expertise across multiple regions. Makes decisions, even with ambiguous /incomplete data at a pace that balances the need for further analysis and the need for timely decision given business priorities / requirements. Lead end-to-end design strategy for dashboards, self-service BI tools, and data visualization solutions that align with business goals and user needs. Design and maintain a consistent UI framework across business intelligence platforms (e.g., Power BI, Tableau, Qlik), ensuring alignment with branding, accessibility, and usability standards. Work closely with each business area to deliver specific solutions for each business bottom-line & Data management and governance using state-of-the-art methods. Leverage usage analytics and feedback loops to iterate on existing interfaces, enhancing user adoption and engagement & Champion data storytelling best practices, driving a design culture focused on insight clarity, minimal cognitive load, and decision support. Stay current on emerging trends in UX/UI, data visualization, and BI design to bring innovative ideas into our analytics products & Contribute to building and institutionalizing a design system for analytics, including templates, visual standards, and interaction patterns & Establish quality standards in terms of timeliness of the projects and accuracy of the deliverables. Ability to independently deliver without any handholding and effective project management and closure with documented evidence & S/he should have analytical independent thought process and can-do attitude towards all the problems needing a solution. Proven ability to navigate organizational complexities and drive collaboration across disparate teams to achieve common goals & Strong ability to communicate complex analytical concepts and strategic recommendations to executive leadership, tailoring messaging to different audiences and driving consensus. Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, regulatory guidelines etc.) and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls. Requirements Graduate / Postgraduate in information systems or other engineering specializations or equivalent. Minimum 8 years of experience in UI/UX design, with proficiency in applying design principles like information hierarchy, visual clarity, consistency, and intuitive navigation to create user-friendly and effective dashboards. Data Visualization & Analytics: Ability to select appropriate chart types, interpret complex data, and derive actionable insights, coupled with a solid understanding of business KPIs. Proficiency in design tools (Figma, Adobe XD, Sketch) and a working knowledge of BI tools (Power BI, Tableau, Qlik, etc.). Interactivity & Usability: Skills in designing dynamic filters, drilldowns, and responsive layouts that enhance user engagement and facilitate seamless data exploration & Expertise in data modeling, SQL, ETL processes, and connecting to diverse data sources to ensure robust and accurate data for dashboards. Communication & Problem-Solving: Ability to effectively gather requirements, present insights, troubleshoot issues, and collaborate with stakeholders to deliver impactful solutions. Knowledge and understanding of financial-services/ banking-operations& Strong project management skills.

Job Title: RSKOperational Risk Group Job Code: 10531 Country: IN City: Mumbai Skill Category: Risk Description: Position Specifications: Corporate Title Vice President Functional Title Vice President Experience 12 15 years Qualification Any Graduate/Post graduate/Engineering/CA/MBA Mission: Lead the transformation of global operational risk management through advanced analytics & robust governance frameworks. This strategic role combines domain, technical expertise with risk management leadership to drive nextgeneration ORM capabilities Role & Responsibilities: Challenge Embedding and Risk Culture: Challenging the effectiveness of Business Units risk management capabilities, including the effectiveness of use of Operational Risk Management tools Specialized, industry proven Control testing governance, Quality Assurance, Scenario support, Global support for IT/Cyber/3rd party ( Expertise in IT Controls/Evaluation/RCSA hands on views) Develop 2LOD Framework: Developing and maintaining the Operational Risk Management Framework Review RCSA , KRI & Scenario insights and provide risk based recommendations to 1st line teams Review New Business Risk Assessment: Challenge 1LOD on risk assessment and monitor implementation of appropriate controls Supporting Global IT ORM agenda based in Powai, supporting Level 1 IT/Cyber/3rd party deep dives, control recommendations, follow ups & drive Global ORM IT/IS Framework implementation Engage with Global IT & 3rd party Risk on control recommendations, testing outliers, timeline management and coordinating with IT GPD for feedback and governance Partner with Global ORM teams (IT/Cyber/DLP) to share best practices uplifting controls Strong proficiency in data visualization tools (PowerBI, Tableau) & AI exposure Implement comprehensive global control testing frameworks encompassing RCSA governance, KRI development, and exception management protocols. Execute data validation standards and accuracy Crossfunctional Collaboration: Act as SME for operational risk data requirements in global ORM projects & partner with other functions to share best practices and standardize reporting Operational risk reporting and analysis, with a focus on streamlining and automating deliverables, including adoption of Power BI, Business Objects, data mining and analysis. Assure compliance to Global Risk Reporting Procedure Breaking Silo Partner/collaborate with other Risk Management functions in provided reporting standards best practices/ideas & integration and standardization of reports MIND SET: Mandatory Domain Staying upwind" keeping options open Recognizing exponential opportunities Balancing consistency with flexibility Combining insights across different fields Using both directed and undirected thinking Managing energy and attention effectively The firm is an equal opportunity employer, and we are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. The firm and its affiliates prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.

Data Analyst Experience: 2 to 3 years Job Location: Bangalore ( Work from Office) Key Responsibilities Collect, clean, and interpret data from primary and secondary sources. Analyze complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and maintain databases, data systems, and data analytics strategies. Prepare reports, dashboards, and visualizations to communicate findings to stakeholders. Work with management to prioritize business and information needs. Identify process improvement opportunities, propose system modifications, and work on data governance. Collaborate with cross-functional teams (engineering, marketing, finance, etc.) to deliver data-driven solutions. Required Skills & Qualifications Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proven experience as a Data Analyst or in a similar analytical role. Strong knowledge of SQL and database querying. Hands-on experience with data visualization tools (Power BI, Tableau, etc.). Proficiency in Excel, Python/R for data analysis, and statistical techniques. Excellent problem-solving skills and attention to detail. Strong communication skills to present findings in a clear and concise manner. Please share profile to anand@anvayainfo.com

Responsibilities: * Collaborate with stakeholders on data requirements & insights delivery. * Develop dashboards using Power BI, Tableau, Looker, Sisense, Domo, Cognos, MicroStrategy, Quicksight & Zoho Analytics. Provident fund Travel allowance Assistive technologies Cafeteria

You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. It is essential to be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models. Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy is required. Understanding deep learning architectures for NLP, such as transformers and BERT, is a plus. Knowledge of containerization and orchestration tools like Docker and Kubernetes is beneficial. Moreover, you should possess skills in statistical analysis and data visualization using the R-language. This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems. At their core, the Customer Tech Data Science team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. As a Data Scientist at Wayfair, you will play a critical role in uncovering insights that shape strategic decisions and improve business performance. You will conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. You will champion the use of emerging technologies to transform how data is explored and insights are uncovered. Additionally, you will become a subject matter expert on key business metrics and customer behavior, drive innovation in business analysis, collaborate with cross-functional partners, design and interpret A/B tests, and build scalable dashboards and reports using various tools. To be successful in this role, you should have a Bachelor's degree in a quantitative discipline, 2-4 years of work experience in analytics or data science, proficiency in programming languages like Python, R, or SAS, strong knowledge of SQL, experience in conducting quantitative analyses on complex datasets, familiarity with data visualization software, and excellent analytical, communication, and problem-solving skills. Experience in e-commerce or retail analytics is a plus. Wayfair is a global online destination for home goods, committed to industry-leading technology and creative problem-solving. Join us for rapid growth, continuous learning, and dynamic challenges that will define the most rewarding work of your career. Your personal data is processed in accordance with Wayfair's Candidate Privacy Notice. For any privacy-related questions or requests, please contact dataprotectionofficer@wayfair.com.,

The position of Project Manager based in Mumbai is seeking a Junior PMO Resource specializing in Data & Metrics to provide support for K-12 accounts. The primary responsibilities include managing and analyzing project data, tracking performance metrics, and generating analytical reports to ensure successful project delivery and enhance learning programs tailored to the unique needs of the K12 vertical. By leveraging your expertise, you will offer valuable insights, monitor project health, and facilitate data-driven decision-making across the K12 sector. Key responsibilities of this role include collecting and consolidating data from various project teams and systems for accurate project performance tracking, maintaining project data repositories to ensure data integrity, and assisting in creating and managing PMO databases for effective project tracking. Moreover, you will be responsible for supporting quality assurance processes, designing alignment with accreditation standards, developing and automating key performance indicators (KPIs) and project metrics, and generating regular reports on project performance, including status updates and risk/issue tracking. Additionally, you will prepare dashboards and visualizations to present data insights in a user-friendly format for senior management and stakeholders, analyze project data to identify trends and potential areas of concern, and provide recommendations based on data analysis to support project decision-making and continuous improvement. To qualify for this role, you should have 2-3 years of experience in a project management office, project coordination, or data analysis role, preferably within the K12 sector, along with a Bachelor's degree in Engineering. Knowledge of data visualization tools such as Looker Studio is considered a plus. Other essential qualifications include strong analytical skills with attention to detail, excellent written and verbal communication skills, the ability to organize and manage large amounts of data efficiently, and certification in Google Sheets and Python programming. Joining this team offers you the opportunity to be at the forefront of educational innovation, making a tangible impact on learners and their success. You will collaborate with a dedicated and passionate team committed to excellence while enjoying a flexible working environment, competitive salary, comprehensive benefits, and opportunities for professional development.,

As a member of the Expedia Group team, you will be part of a global travel powerhouse that aims to make travel smoother and more memorable for everyone, everywhere. Our innovative technology solutions cater to travelers" needs and create groundbreaking opportunities for our partners. We thrive on the diversity, vibrancy, and inclusivity of our community, which is fundamental to our continued success. Why Join Us At Expedia Group, we prioritize people in shaping the future of travel. Our Values and Leadership Agreements guide us in maintaining an open culture where every individual is valued, differences are celebrated, and collective success is paramount. By joining our team, you will enjoy a comprehensive benefits package that includes exciting travel perks, generous time-off, parental leave, a flexible work model, and access to career development resources. We are committed to fueling our employees" passion for travel and ensuring a fulfilling career journey as we work towards building a more open world. About The Role Are you enthusiastic about data, analytics, and collaborating with top talent to solve complex problems If you are eager to make a direct impact on reshaping the travel industry through insightful recommendations that drive enhancements, we are looking for you! We are in search of an experienced analytics professional to join our AI Agent Product Analytics Team, supporting a diverse portfolio of the world's leading online travel brands. In this mid-level role, you will work closely with product managers to focus on user experience optimization through GenAI-driven personalization. As a Data Scientist, your responsibilities will involve collaborating with a multidisciplinary team to address various challenges. You will bring scientific rigor and statistical methods to support business growth and product development efforts. Your role will play a crucial part in informing key business decisions across the product development lifecycle to enhance the user experience for millions of Expedia customers. You will be tasked with identifying customer friction points, generating and prioritizing hypotheses, designing experiments, conducting unbiased test analyses, providing actionable recommendations, and optimizing products. If you are a self-motivated individual who has a track record of leveraging analytics to drive innovation and enhance user engagement, this role is tailored for you. Your Responsibilities Will Include: - Applying expertise in quantitative analysis, machine learning, data mining, and data visualization to enhance customer experience and drive business outcomes with a focus on impactful analytics - Guiding product teams towards actionable insights - Leading end-to-end testing excellence, including the evaluation of A/B and multivariate (MVT) tests, identifying opportunities, and suggesting new features for test-and-learn initiatives - Assessing and implementing alternative methods to complement randomized testing - Developing metrics frameworks for your product, creating accurate and user-friendly dashboards/reports, and collaborating on goal setting, performance reviews, and strategic planning - Taking the initiative to identify current and potential problems and recommending optimal solutions based on trade-offs Experience And Qualifications: - 4+ years of experience in quantitative analysis for solving business problems - Bachelor's degree in a science, technology, engineering, or mathematics (STEM) field - Strong analytical skills with the ability to break down complex business scenarios - Experience with large datasets and proficiency in SQL or programming languages such as R or Python - Excellent communication skills with the ability to craft compelling stories using data - Solid understanding of statistics and hypothesis testing (e.g., confidence intervals, regression, time series, clustering, factor analysis) - Familiarity with visualization tools such as Tableau - Knowledge of Adobe Analytics or Google Analytics is a plus - Detail-oriented with a strong curiosity and passion for making an impact Accommodation Requests: If you require assistance during any part of the application or recruiting process due to a disability or other physical or mental health conditions, please contact our Recruiting Accommodations Team through the Accommodation Request. We are honored to have been recognized as a Best Place to Work on Glassdoor in 2024 and to have received accolades for our award-winning culture from organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's esteemed family of brands includes Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Please note that all employment opportunities and job offers at Expedia Group will be communicated by Expedia Group's Talent Acquisition and hiring teams. Never disclose sensitive personal information to anyone unless you are certain of the recipient's identity. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom prior contact has not been made. Our official email domain is @expediagroup.com. To find and apply for job openings at Expedia Group, visit careers.expediagroup.com/jobs.,