160 Statistical Analysis Jobs - Page 4

Job Summary: Designs and prepares reports, dashboards, and summaries for statistical analysis and planning purposes. Analyzes business issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns. Principal Responsibilities: Collects, compiles and analyzes data from various databases and performs statistical analysis for internal customer groups. Develops reports and/or creates dashboards providing financial related information needed to make informed business decisions. Designs, creates and implements templates to collect, display and analyze data for assigned projects Communicates complex data in comprehensible ways. Evaluates information from multiple sources and clearly indicates quality of final analysis. Develops reports and other tools to deliver internal company information enabling business users to make informed decisions. Gathers, aggregates models, and analyzes information from multiple external sources regarding company financial performance, customer insights, competitor profiling, competitive threats, potential product or technical expansion, industry trends and other such business intelligence aspects. Establishes standards and procedures for a variety of processes, conducting business analysis resulting in detailed creation and maintenance of business process mapping, requirements and training materials documentation. May participate in or lead project teams. Identifies, investigates and participates in opportunities to improve processes and procedures, to include various key performance metrics. Other duties as assigned. Job Level Specifications: Foundational knowledge of specialized disciplines, industry practices and standards, acquired via academic instruction and/or relevant work experience of substantially the same level. Develops solutions to defined tasks, typical assignments and projects. May be solved by the application of specialized foundational knowledge, using existing approaches and solutions. Work is usually performed independently and requires the exercise of judgment and discretion. Receives initial direction although work may be reviewed for accuracy and quality. Collaborates with immediate management and team members within the department or function. Actions typically affect own work assignments and department. Erroneous decisions or failure to accomplish work may require some assistance or resources to remedy. Work Experience: Typically less than 2 years with bachelors or equivalent. Education and Certification(s): Bachelors degree or equivalent experience from which comparable knowledge and job skills can be obtained. Distinguishing Characteristics: Position may require the ability to travel.

Amazons vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Ability to do exploratory analysis: Fetch data from systems and analyze trends Identify consumer segments that need to be actioned to drive adoption of Amazon Pay Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs . Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle Ability to work with regulated(RBI, FIU, etc) bodies across IN Ability to identify and deepdive at the most granular level and flag anomalies Work with cross functional teams like Category, Product, Operations, etc 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel -Advanced SQL / data mining skills -Extensive experience in reports/dashboards automation Experience with statistical analysis (R/python) -Experience working with data visualization tools and creating data visualization concepts (Tableau preferred, D3 is a bonus) E commerce experience is preferred

Job Summary: Designs and prepares reports, dashboards, and summaries for statistical analysis and planning purposes. Analyzes business issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns. Principal Responsibilities: Collects, compiles and analyzes data from various databases and performs statistical analysis for internal customer groups. Develops reports and/or creates dashboards providing financial related information needed to make informed business decisions. Designs, creates and implements templates to collect, display and analyze data for assigned projects Communicates complex data in comprehensible ways. Evaluates information from multiple sources and clearly indicates quality of final analysis. Develops reports and other tools to deliver internal company information enabling business users to make informed decisions. Gathers, aggregates models, and analyzes information from multiple external sources regarding company financial performance, customer insights, competitor profiling, competitive threats, potential product or technical expansion, industry trends and other such business intelligence aspects. Establishes standards and procedures for a variety of processes, conducting business analysis resulting in detailed creation and maintenance of business process mapping, requirements and training materials documentation. May participate in or lead project teams. Identifies, investigates and participates in opportunities to improve processes and procedures, to include various key performance metrics. Other duties as assigned. Job Level Specifications: Foundational knowledge of specialized disciplines, industry practices and standards, acquired via academic instruction and/or relevant work experience of substantially the same level. Develops solutions to defined tasks, typical assignments and projects. May be solved by the application of specialized foundational knowledge, using existing approaches and solutions. Work is usually performed independently and requires the exercise of judgment and discretion. Receives initial direction although work may be reviewed for accuracy and quality. Collaborates with immediate management and team members within the department or function. Actions typically affect own work assignments and department. Erroneous decisions or failure to accomplish work may require some assistance or resources to remedy. Work Experience: Typically less than 2 years with bachelors or equivalent. Education and Certification(s): Bachelors degree or equivalent experience from which comparable knowledge and job skills can be obtained. Distinguishing Characteristics: Position may require the ability to travel. The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills.

We are seeking a highly motivated and detail-oriented Data Analyst to join our growing team. The ideal candidate will be passionate about transforming raw data into actionable insights, helping us make informed strategic decisions. You will play a crucial role in collecting, processing, and performing statistical analyses on large datasets, translating complex findings into clear, concise reports and visualizations for various stakeholders. Key Responsibilities: -Data Collection & Cleaning: Source, collect, and clean data from various internal and external databases, ensuring data accuracy, completeness, and consistency. -Data Analysis & Modeling: Perform in-depth statistical analysis, identify trends, patterns, and anomalies in data. Develop and implement data models to predict outcomes and optimize performance. -Reporting & Visualization: Create compelling and intuitive dashboards, reports, and presentations using data visualization tools (e.g., Power BI, Tableau) to communicate insights to technical and non-technical audiences. Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Remote

Data Analysis and Insight Lead Responsibilities Role Overview In this role: Develop a digital analytics strategy, specific to your industry and organization KPIs. Tailor reporting system and dashboards to your business. Support client team with ongoing business needs and analytics system maintenance. Setting up the required reporting system, timeframes, performance metrics, and dimensions. Providing Google Analytics consulting and Marketing Technology strategy. Develop analysis and dashboards and have to communicate data-driven recommendations to improve customers business Mandatory Qualifications: Excellent Time Management & Proactive approach for taking initiative and getting them executed by the team. At least 3-4 years of experience working with major business verticals [BFSI, E-commerce, OTT, Publisher, Automobile] in servicing Indian, North American and APAC markets Exceptional consulting and Advanced & Statistical analysis ( segregation analysis, pre-post analysis, feature attribution analysis, Media Campaign Opportunity analysis(using DDA & Markov Chain) Seasonality Analysis Market Basket Analysis to identify products/channels that drive value TV data analysis Clustering, Linear & Logical Regression, Time Series expertise. Skills: Google Analytics, Adobe Analytics, Google Cloud Platform Exposure, Hands-on experience on Big Query [SQL expertise]. GAIQ, A tool-agnostic analytics consultant. Good to have: Pre-sales Business flavor

Job Description: Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions. Works directly with clients and project and business leaders to identify analytical requirements. Requires a bachelors degree in area of specialty and 1-3 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. Performs a variety of tasks. Works under general supervision. A certain degree of creativity and latitude is required. Typically reports to a supervisor or manager

?Find a Career With Purpose at Teva ? Keyword ? Location ?Select how often (in days) to receive an alert: ? Sr Mgr Biostatistics ? Date:? Jun 10, 2025 ?Location: ?Bangalore, India, 560064 ? Company:? Teva Pharmaceuticals ? Job Id:? 62254 ? Who we are ? ? The opportunity ?We are seeking a technically strong and motivated Senior Manager, Real World Data (RWD) Analytics to lead the execution of programming deliverables across a variety of clinical data sources. This individual will be responsible for delivering high-quality analytical outputs in alignment with real world evidence (RWE) study protocols, and statistical analysis plans. The role will play a critical part in supporting RWD projects by leveraging cutting-edge analytical tools and methods, enabling robust big data transformation, analysis, and reporting in collaboration with statisticians and study teams globally. ? How you ll spend your day ?Lead the development and execution of programming deliverables using RWD sources (e. g. , claims, EHR, registry) to support RWE studies and analyses. ?Partner with RWE statisticians and cross-functional study teams to align on analytical strategy and timelines, translate statistical analysis plans and protocols into efficient and reproducible analytical programs. ?Ensure compliance with internal standards, best practices, and regulatory requirements ?Support group head to recruit and build a team of RWD analysts based in India. ?Establish robust onboarding and training processes, documentation practices, and foster a continuous learning culture. ?Stay abreast of evolving big data analytical technology, with emphasis on advanced analytical tools and methods, AI/ML, process improvement and automation. ? Your experience and qualifications ?Master s degree or higher in Statistics, Biostatistics, Data Science, or a related quantitative field. ?Minimum 8 years of hands-on experience in programming and analytics in a pharmaceutical or healthcare research setting. ?Proven experience with RWD sources including claims, EMRs, and/or registry data. ?Prior experience managing or mentoring technical teams is preferred. ? Teva s Equal Employment Opportunity Commitment ?Teva Pharmaceuticals is committed to equal opportunity in employment. It is Tevas global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

Job Role (20 Words) Ensure ethical, responsible AI system development by auditing compliance, designing mitigation strategies, and guiding cross-functional teams. Job Summary We are seeking a seasoned Responsible AI Engineer to lead ethical AI development initiatives. This role focuses on auditing AI systems, advising teams, and embedding Responsible AI frameworks into enterprise solutions, ensuring alignment with regulatory and ethical standards. Required Skills Deep expertise in Responsible AI and ethical governance Strong advisory and decision-making capabilities Proficiency in Responsible AI frameworks and implementation Experience in statistical analysis and ML algorithms Knowledge of linear/logistic regression, decision trees, clustering Skilled in data preprocessing (cleaning, transformation, normalization) Familiarity with visualization tools like Tableau and Power BI Ability to audit AI systems and enforce compliance protocols

Microland Limited is looking for Associate Lead - Operations Excellence to join our dynamic team and embark on a rewarding career journey. As an Operations Excellence associate lead, you will be responsible for leading and implementing continuous improvement initiatives to enhance operational efficiency, quality, and overall performance within the organization. You will collaborate with cross - functional teams to identify areas for improvement, develop strategies, and drive execution to achieve operational excellence. Key Responsibilities : Continuous Improvement : Lead the identification of process improvement opportunities across various operational functions. Conduct thorough analyses to identify root causes of inefficiencies, defects, or bottlenecks. Develop and implement improvement plans to optimize processes and workflows. Drive a culture of continuous improvement by fostering collaboration and knowledge sharing among team members. Operational Excellence Strategy : Develop and execute a comprehensive operational excellence strategy aligned with organizational goals and objectives. Define key performance indicators (KPIs) to measure progress and success in achieving operational excellence. Establish benchmarks and targets for performance improvement initiatives. Cross - Functional Collaboration : Collaborate with cross - functional teams, including operations, quality assurance, supply chain, and engineering, to implement improvement initiatives. Facilitate communication and collaboration among team members to ensure alignment and synergy in achieving operational goals. Change Management : Lead change management efforts associated with process improvements, including training, communication, and stakeholder engagement. Overcome resistance to change by effectively communicating the benefits and rationale behind improvement initiatives. Data Analysis and Reporting : Utilize data analysis tools and techniques to gather, analyze, and interpret performance data. Generate regular reports and dashboards to track progress against KPIs and provide insights for decision - making. Best Practices and Standards : Stay abreast of industry best practices, trends, and emerging technologies related to operational excellence. Implement best practices and standards to drive efficiency, quality, and innovation in operations. Project Management : Manage projects related to operational excellence, including planning, execution, monitoring, and reporting. Ensure projects are completed on time, within budget, and in accordance with quality standards.

Job Description: We at VIAPROM are seeking a skilled and experienced Tableau Developer to join our team within 15-20 days in Bengaluru. Candidates who are based out of Bengaluru will be preferred. The ideal candidate should have a strong background in Visualization and data storytelling. Key Responsibilities: 1. Collaborate with business stakeholders to understand their data analysis and reporting requirements. 2. Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau Desktop. 3. Utilize Tableau's features, including calculated fields, parameters, data blending, and advanced analytics, to create insightful and actionable visualizations. 4. Transform complex data sets into intuitive visualizations that effectively communicate key insights and trends. 5. Work closely with data engineers to extract, transform, and load data from various sources into Tableau. 6. Optimize the performance and efficiency of Tableau dashboards and reports by implementing best practices and data optimization techniques. 7. Conduct data analysis to identify trends, patterns, and anomalies within the data. 8. Collaborate with cross-functional teams to integrate Tableau dashboards and visualizations into business applications or portals. 9. Stay up-to-date with the latest Tableau features, trends, and best practices to continually enhance data visualization capabilities. 10. Provide support and training to end-users on Tableau functionality and usage. Desired Candidate Skills: 1. Proven experience as a Tableau Developer with atleast 4-5 years of hands-on experience. 2. In-depth knowledge of Tableau Desktop and Tableau Server, including data preparation, visualization design, and dashboard development. 3. Strong understanding of data visualization best practices, data analysis, and data storytelling. 4. Proficiency in SQL and experience with data modeling and database design. 5. Ability to gather and translate business requirements into effective Tableau visualizations. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Educational Qualifications 1. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2. Candidates with Tableau Desktop and/or Tableau Server certification is preferable. 3. Familiarity with statistical analysis and data mining techniques. 4. Understanding of data governance and data security best practices.

External Job Description Process Planning Engineer- The Process Engineer is responsible for the definition of the tools and process strategy together with PLM and Q, stakeholders and the R&D management team. Plan the process, equipment and documents required for production activities of healthcare assemblies. Validation of process of the product. Solve the issues occurring in the production related to process and parts assembled. Support in supplier approval process by assessing manufacturing/technology capabilities and Health, Safety and Environmental risks Perform on-site supplier visits for root cause analysis and verification of correction actions of supplier quality issues Review supplier manufacturing processes, collaborate with suppliers on process improvement and value enhancement opportunities Assist with first off sample approvals of the parts from vendor. Participate in cross-functional teams in the development of new products or changes related to current products in meeting customer requirements Working with Global Business Line R&D to develop and support the process at BLR/ with Local to Global supply of parts / commodities leveraging across manufacturing locations. Providing technical advice and guidance to suppliers to reduce defect rates. Serving as a liaison between our companys senior management and the vendors to identify quality issues and come up with solutions. Develop strong, ethical relationships with suppliers with good business practices Desired Qualification & Experience Bachelor s degree from an accredited university with 3+ years of experience in Process planning Experience of process and engineering principles of X-ray imaging systems, Healthcare equipment and associated testing setups and troubleshooting is desired Excellent statistical analysis

YOUR TASKS AND RESPONSIBILITIES: Lead the clinical research medical science related activities such as preparation of synopsis, protocol, Clinical Study Report (CSR) and present the proposals in subjects expert committee (SEC) regulatory meeting. Collaborate with clinicians, KOL to get the feedback and inputs on clinical trial design, comparator and endpoints of the study to finalize synopsis. Review of patient eligibility and approval of patients through Interactive Response Technology (IRT) system Work with data management team to review data management plan, coding plan, SAE reconciliation, CRF completion guidelines, edit check specifications. Also, to ensure timely review of data extract and data cleaning activities to ensure timely database lock and release of tables, figures, and listings (TLFs). Coordinate with biostatistician to engage early with the study team to decide sample size, statistical analysis plan (SAP) apart from review of mock and/or blinded tables, figures, and listings (TFLs), and narrative and discussion planning for relevant documents Prepare risk assessment plan based on the protocol of clinical study to identify and address the safety and operation related risk specific to study protocol. Training the study team on protocol and applied aspect of the protocol to clarify the relevance and criticality of each activity considering the study endpoints. Interact with investigator to resolve the queries related with protocol from the sites and Ethics Committee. Medical monitoring activity which includes eligibility assessment based on inclusion, exclusion criteria and detailed medical history, review of study endpoint data review and safety investigations. Review of Adverse Events and Severe Adverse Events forms and provide review comments in timely manner. Planning publications activities for clinical journal manuscripts, abstracts submission for conferences, and subsequent review of posters/ oral presentations. WHO YOU ARE: MD (Pharmacology) or other relevant medical qualification 2-6 years of relevant experience in the field of Medical Monitoring Experience in working in clinical science domain working in different capacities as medical monitor for clinical trial/ medical expert for clinical development plan for products across therapies is desirable. Job location: Sun House, Goregaon East, Mumbai

Time Series Forecasting : Applying models like ARIMA, Prophet, or LSTM for month-on-month estimations Machine Learning : Building and deploying ML models for forecasting and cost optimization Python Programming : For data manipulation, modeling, and automation (Pandas, NumPy, scikit-learn) CDN Domain Knowledge : Understanding content delivery networks, traffic patterns, and cost structures Power BI : Designing dashboards for CDN usage reporting (regional, brand-level, etc) Data Analysis & Modeling : Statistical analysis, feature engineering, and model evaluation Cost Optimization Techniques : Using ML to model and optimize CDN allocation and expenses SQL : Querying structured data for reporting and model input Secondary Skills Cloud Platforms : Familiarity with Azure, AWS, or GCP for data storage and compute ETL & Data Wrangling : Preparing and transforming data from multiple sources Version Control : Using Git for code collaboration and tracking Agile Methodologies : Working in sprints, using tools like JIRA or Confluence Communication Skills : Explaining technical insights to non-technical stakeholders Collaboration Tools : Experience with Teams, Slack, or similar platforms

HEOR analyst role that contributes to the generation of insights and solutions into ways of improving real-world patient outcomes. Role is focused on projects that will impact decision-making in various health care systems on treatment innovations, care provision and access. Essential Functions Produce materials and services relating to the Health Economics Outcomes Research business areas (health economic modelling, evidence synthesis, statistical analysis, health technology assessment submissions, report and publication development for value communication) that generate value for our clients Engage with large data sets and apply real-world data to health economic decision-support tools Develop your project management skills through client liaison and collaboration with senior project managers Contribute to business development as we'll as internal initiatives for the advancement of innovative methodological approaches Work closely with a diverse range of peers, project managers Qualifications A degree in science, economics, mathematics, statistics, computer science or another relevant discipline. Strong numeracy and quantitative skills as we'll as competency using MS Excel and statistical packages (eg, Stata, R, SAS) Capable of tackling loosely defined problems analytically and applying pragmatic and logical problem-solving skills. Communicative person that values building strong relationships with colleagues and clients and have the ability to explain complex topics in simple terms and in a structured way, both spoken and written.

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at Want to transform the way people enjoy music on Amazon Music apps and Echo devicesCome join the team that made Amazon Music Unlimited, HD, Prime Music, ads-supported free music and more available to millions of customers. The Amazon Music Search team is looking for a Senior Product Manager Tech to innovate, design, build and launch new ML-based Search features and experiences. Own and drive the product roadmap for search features such as search history and find-as-you-type Collaborate with engineering teams to define technical requirements, prioritize features, and oversee development and implementation Analyze user behavior data and conduct A/B experiments to optimize the relevance and performance of search suggestions, autocomplete, and historical query recommendations. Partner with UX designers to create intuitive and seamless search experiences that enhance customer satisfaction and engagement within the Amazon Music platform. Develop and track key performance indicators (KPIs), regularly reporting on their impact on user engagement, retention, and overall search quality. Coordinate cross-functionally with other Amazon Music teams (e.g., content catalog, recommendations, Generative AI) to ensure search features align with and enhance other product areas. Stay informed about industry trends and competitive landscape in music search technologies, proposing innovative solutions to maintain Amazon Musics competitive edge in search experiences. About the team The Amazon Music Search mission is to help customers find the most contextually relevant search results, across in-app and voice experiences, as quickly as possible. We act as a key source of information regarding what content users can access on Amazon Music. We collaborate closely with the various Amazon Music client teams and other partners to continuously improve the search experience across all platforms, including visual apps and Amazon Music on Alexa. Search services billions of requests for customers worldwide each month and is a critical part of Amazon Music engagement and retention. Bachelors degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Experience performing statistical analysis of data using SQL, Excel and other tools Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience working on consumer products

Join us as a Desk Strategy Associate we're looking for someone with an economics background to join our Trading Flow Sales business you'll be developing strategies to enhance trading or sales opportunities for the business This is a high profile role that offers considerable exposure as we'll as the opportunity to make a significant impact we're offering this role at associate level What you'll do This key role will see you building economic forecasting models and performing statistical analysis of economic data using time series techniques. As such, you'll be analysing market related data, trends and events, and formulating trade ideas or investment opportunities. you'll also be: Assisting with internal and external client requests Tracking macroeconomic data releases and drafting global economic insights for indicators Conducting macroeconomic indicator analysis for the relevant teams Ensuring customer satisfaction by delivering your work on time and to the highest quality Managing projects and initiatives to improve processes The skills you'll need To join us in this role, you'll need to hold an MA in Economics or an MSc in Econometrics. you'll have experience in a research oriented role across economies, together with the ability to summarise and analyse complex data and topics. In addition, you'll bring: Working knowledge of databases such as REviews, Matlab and SAS Good communication and presentation skills Knowledge of databases such as Bloomberg, Haver and CEIC Expertise in Microsoft Office applications Hours 45 Job Posting Closing Date: 26/06/2025

Tax Industry/Sector Management Level Associate & Summary . In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decisionmaking for clients. 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 purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . s Resource for functional team of taxtechnology practice Understand requirement from stakeholders and translate into functional requirement document Discuss functional requirements with development team Prepare test checklist & test cases for functional testing Undertake functional testing and submit test reports Prepare user manuals Conduct application demos Undertake user trainings Support users in timely issues resolution Regularly monitor the changes (regulatory or otherwise) and analyze its impact on application Mandatory skill sets Competency in MS office with excellent skills in excel Good documentation skills Ability to work in a fastpaced environment with minimal supervision Critical thinker and problemsolving skills Team player Good timemanagement skills Preferred skill sets Great interpersonal and communication skills Ability to handle multiple tasks simultaneously Sense of ownership and pride in performance and its impact on the company s success Years of experience required Minimum 35Years Education Qualification BE/B.tech MBA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Functional Specifications Accepting Feedback, Active Listening, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being No

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview This role will be responsible for applying data mining techniques, completing statistical analysis, building predictive models, and visualizing data to solve problems and shape strategies for the global business. Effective communication skills, organization, time management, and a will to learn current business processes are essential. Key Responsibilities Translate data & analytics into business insights by working with global leaders and regional supply chain teams. Select features and build models using machine learning techniques. Enhance data collection procedures to include information that is relevant for building analytic systems. Continuously seek out industry best practice and skills to develop new capabilities for data analytics at McCormick and help drive our digitalization strategy. Process, cleanse, and verify the integrity of data used for analysis. Improve, standardize, and automate current business processes. Required Qualifications & Experience Bachelor s degree in Mathematics, Statistics, Engineering, Data Analytics/Science, or related field. Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets Ability to connect the dots between complex data/analytics and business application Understanding of concepts, principles, and practices in Supply Chain Experience coding in one or more languages (Python / R preferred) Experience with data visualization software (Tableau preferred) Demonstrated ability to build statistical models Demonstrated ability to manage multiple priorities simultaneously Extensive experience with Microsoft Office (Excel, PowerPoint, Access, Etc.) WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Engineering Principles: Knowledge of mechanical and electrical engineering principles relevant to air compressor design (including design, development, testing, verification and validation phases). Experience with BOM management (Engineering, Planning, Manufacturing and Service) and product variant management is required. Design Standards and Codes: Understanding of industry standards and codes such as ASME, ISO, and other relevant regulations. Manufacturing Processes; Computer-Aided Design (CAD); Quality Control and Testing; Project Management. Knowledge of electrical schematics and building blocks, and test procedures definition and execution Statistical analysis and methods experience is required Technical Skills: Proficiency in CAD software for designing and modeling component Ability to perform engineering calculations and simulations to validate designs. Design for manufacturing and environmental requirements Statistical analysis and methods experience is required Problem-Solving; troubleshooting skills; Communication; Attention to Detail; Leadership and Teamwork and relevant other skills as per requirements of the position. Experiences Substantial general work experience together with comprehensive job related experience in own area of expertise to fully competent level. Experience of planning and managing resources to deliver predetermined objectives as specified by more senior managers Proficiency in CAD software, knowledge of manufacturing processes, and experience with quality management systems. Design Engineer, Compressed Air

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and growing fraud threats? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative solutions? Do you like to innovate and simplify? Our mission in Customer Trust and Partner Support (CTPS) is to make Amazon.com the safest place to transact online. CTPS safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, CTPS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. As a Business Analyst in our Customer Trust & Partner Support (CTPS) division, youll be at the forefront of transforming raw data into actionable intelligence that shapes our organizations future. In this pivotal role, youll spearhead the expansion of our forecasting solutions across Customer Trust operations, working alongside data scientists, business intelligence engineers, and program managers to uncover game-changing insights through advanced statistical analysis and data visualization techniques. Your analytical prowess will be essential in identifying opportunities to enhance operational efficiency and drive business impact. Youll leverage a diverse array of tools, data sources, and analytical methodologies to tackle high-impact business challenges, translating complex findings into clear, actionable recommendations. As a strategic partner to cross-functional teams, youll analyze forecast variances, optimize operational processes, and ensure delivery against ambitious director level organizational goals. Were seeking a dynamic professional who can independently navigate complex problems and communicate sophisticated insights to non-technical audiences with confidence and clarity. Your ability to transform data into compelling narratives will be crucial in driving strategic decision-making across the organization. This high-visibility role offers unprecedented influence and directly impacts our bottom line, making you an essential player in our continued success and growth. If youre passionate about turning data into decisions and challenges into opportunities, join us in revolutionizing our customer trust operations. 3+ years of business or financial analysis experience 3+ years of tax, finance or a related analytical field experience 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Masters degree in business or analytical discipline Experience with data visualization using Tableau, Quicksight, or similar tools

The purpose of the Research Scientist, Japan Value, Evidence and Outcomes (Japan VEO) is to deliver valuable evidence that addresses health outcomes issues, maximizes product value in Lilly portfolio, and contributes to improvement of people s health by demonstrating scientific leadership in evidence strategy development, planning, HEOR/RWE study development and execution. The research scientist will provide strategic insight/leadership into the health outcomes (HO) evidence needs (eg, health economics, patient reported outcomes, real world evidence) for Lilly s portfolio. The scientist will integrate their knowledge of health outcomes disciplines, therapeutic area knowledge of disease states in the Lilly portfolio, understanding of drug development and commercialization, and local market knowledge in the role to deliver valuable evidence, partnering with global VEO/VEO International as we'll as local functions. Research project ownership and execution is required. The scientist may have duties ranging from developing and articulating product value propositions, patient reported outcomes strategies, real world evidence generation, and differentiation strategies using HO research depending on the individual assignment. Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position. Strategy Develops and oversees local HEOR/RWE strategy for compounds in the Lilly portfolio in Japan in the relevant therapeutic area(s) that is aligned with local product strategy and global/regional HEOR/RWE strategy. Drives sustained integration of HEOR/RWE from early clinical development through commercialization depending on focus of the assigned project or therapeutic area. Formulates and drives Patient Focused Outcome, Real World Evidence, and/or economic value strategies for priority products. Provides strategic direction to address complex health outcomes challenges. Study Development and Execution Leads local HEOR/RWE evidence planning and execution for individual compounds/products across the development and commercialization lifecycle to support drug development, optimize pricing and access, and maximize post-launch product value in collaboration with local cross functional team and/or global VEO/VEO International. Develops and designs HEOR/RWE studies that can address important gaps for the products, is scientifically robust and feasible, and meet relevant quality standards. Applies technical expertise appropriate for the role (eg, scope or depth in statistical analysis, economic modeling, clinical trials, PFO development, observational/ epidemiologic research methodologies) within a therapeutic area. Ensure sustainable delivery of planned evidence in a timely manner. Organizational Leadership and Influence Demonstrate scientific leadership in evidence strategy, planning, study development and execution. Links technical expertise with business acumen and establishes and maintains strategic relationships with key internal and external decision makers. Effectively integrates with and influences key business partners and external stakeholders to achieve goals and outcomes Promote strategic integration into global for both projects and functional activities. Can apply unprecedented innovative approaches with taking a risk to deliver best results. Information Dissemination Effectively communicates HO information to internal business partners, the scientific community, and customers. Drives research dissemination strategies and leads research communication efforts including abstracts, posters, podium presentations, promotional materials, and manuscripts. Plan for, align, and drive application of results/ deliverables to increase the impact of HO work. Actively participates in shared learning opportunities to effectively share knowledge and experience (both positive and negative) of management tools and other learnings with colleagues and peers, locally and internationally. Prioritized capability/experience : Capability/experience to execute observational research (eg, database research), from protocol development to statistical analysis and publication. Basic statistical analysis skill using available RWD database Strongly preferred skill: statistical analysis programming skill (eg R) Target Literature Review Expected types of tasks to be covered/supported by LCCI scientists. Statistical analysis of internally available data using IHD or R program as a part of observational study or to respond to request from internal (to support internal decision making). Support for protocol development and publication (manuscript, disclosure at academic conf). Target literature review to support evidence planning and research planning. Implementation or support of entire observational study execution Environmental Awareness Maintains awareness of significant developments in disease states in the Lilly portfolio and HO field including current HO methodologies and applications, availability in various real world data, relevant regulations, and other issues as appropriate for the position. Anticipates and evaluates future market needs and trends for HO information within pertinent therapeutic area and geography of interest. Monitors and influences internal and external environmental factors that shape and impact generation and use of HEOR/Rwe'research. Maintains a presence and relationship with the research community related to the relevant areas. Project Management Partner with Project Managers in Japan VEO to ensures projects meet timelines, budget, and scope by coordinating research efforts with cross-functional team and external collaborators as appropriate. Minimum Qualification Requirements: An advanced degree, including Ph.D., M.D., or PharmD/masters degree with relevant experience in an appropriate discipline (eg, economics, epidemiology, health administration, health services, medicine, pharmacoeconomics, psychology, statistics, or other relevant sciences) will generally be required, although significant previous training and experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health may substitute for the formal degree requirement. Strong comprehension and communication skills including the ability to translate and disseminate complex scientific information in a clear and concise manner Strong business English and Japanese skill Demonstrated ability to influence and collaborate within and across teams The ability to think and act globally with a customer focus and a solution orientation. Other Information/Additional Preferences: Knowledge and experience of health care systems in major countries as appropriate for the position requirements. Understanding of and experience with clinical settings and clinical research. Technical and analytic capabilities in the areas of economic modeling, economic evaluation, burden of disease, epidemiology, statistics, health care policy etc.

Provide remote analytical support to PPL sites, including review of analytical data and preparation of documents such as specifications, test methods, and protocols. Upload documents for review in ENSURE and initiate QMS elements in TrackWise/eDMS. Prepare and review stability protocols and reports, and perform stability data trending and analysis B. Pharm / M. Pharm / M.Sc. Chemistry / B.Sc. Chemistry or equivalent Review of analytical data generated in the analytical lab (QC/AS) including but not limited to Cleaning verification data, IPC , raw materials, intermediates, finished products, cleaning verification/validation, stability, and method validation data according to cGMP, GDP, in a timely manner. Review of reports for accuracy and completeness. Reports may include but not limited to: method validation reports, stability reports, lab equipment and instrumentation Calibration and Preventive Maintenance (PM) Reports, etc Knowledge in analytical data review in Empower/ Chromeleon / Open-Lab / Lab-Notebooks / LIMS / QMS module. Analytical Method Development and Documentation: Create and revise working test methods in compliance with compendia requirements and laboratory practices to support analytical testing. Change Request Forms (CRF) Management: Routinely initiate and manage Change Request Forms via the TrackWise system, including updates to product specifications and Certificates of Analysis (COA). Data Trending and Out-of-Trend (OOT) Analysis: Perform trend analysis of release testing data to identify OOT results. Develop, implement, and maintain procedures for trending and statistical data evaluation. External Data Review: Review analytical data generated by external laboratories to ensure compliance with specifications and quality standards. Share the review deficiencies with site team for further actions. Develop, revise, and review stability protocols and documentation in accordance with ICH guidelines and product-specific requirements, prepare stability summary reports with statistical analysis and trending to evaluate data and ensure regulatory compliance and data integrity . Conduct thorough Compendia reviews of USP (United States Pharmacopeia) monographs and ensure alignment with internal specifications and regulatory expectations. To participate and support site during customer audits and regulatory inspection. Lead and participate any other task assigned by HOD .

We seek a Tableau and Salesforce Analytics Analyst for Senior level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. Location - Bangalore/Pune/Indore/ Ahmedabad/ Hyderabad What will help you succeed: CRM Analytics administration Data analysis Salesforce Analytics Query Language (SAQL) Einstein Discovery Statistical analysis.

Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, youll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our full-time positions span several key areas, including: 1. Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. 2. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. 3. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. 4. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. 5. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. - Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. - Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. - Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. - Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. - Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. - Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. - Your work will push the boundaries of whats possible and deliver technologies that enhance customer experiences worldwide. - Masters degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in designing experiments and statistical analysis of results - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

No of years experience 8 to 10 yrs Detailed job description - Skill Set: 8+ years of experience in Database and Data warehouse tech (Azure Synapse/ADB, ADF/SQL Server/SAP HANA), Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, Spark, SQL Experience with Power Shell Scripting Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making Performs Data mining which provides actionable data in response to changing business requirements. Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Mandatory Skills Must Have Skills Experience in ADF, ADB, Azure Synapse Solid knowledge on Python, PySpark, SQL Experience with Power Shell Scripting