541 Statistical Analysis Jobs - Page 19

Summary Novartis is looking for a Associate Analyst - Analytics for its International BA team. The Associate Analyst will be responsible for providing analytical support on high complexity reports to internal customers, contributing to business decision-making by analysing commercial analytics data and identifying trends. The role includes working in commercial analytics projects, maintaining the existing reports and supporting the development of reporting platforms based on business inputs. The Associate analyst will work collaboratively with various cross-functional teams to meet business requirements. They will also participate in performance tracking, knowledge sharing, and support day-to-day business-related tasks. The role requires being detail-oriented, having a knack for interpreting data trends and insights, and being adept at collaborative work. About the Role Key Responsibilities: Possess strong analytical skills to collect, organize, analyse, and disseminate significant amounts of information Interpret granular data, analyse results and derive actionable insights. Clearly communicate data-driven insights to stakeholders that may assist them in decision-making processes Support in developing, maintaining, and improving insightful reporting solutions and dashboards Support the engagement lead in managing and organizing data sets from databases to find patterns and trends in data while ensuring data integrity and accuracy Use data analytics to understand customer behaviour and improve marketing effectiveness Support the leads in standardization of reports across brands Establish and maintain positive relationships with key stakeholders and understand their perspectives Stay informed on industry trends and developments to advise management on strategies for business growth Build and maintain standard operating procedures (SOPs), quality checklists to enable excellent quality outputs and knowledge repositories Essential Requirements: MBA with Graduate / Postgraduate in Medicine (MD/MBBS/BDS) Pharmacy / Life Sciences/ bachelor s degree in marketing, Statistics, or a related field. Data analytics experience. Experience in a market research firm or pharmaceutical company will be preferred 0 - 2 years of overall experience in data modelling, SQL and robust technical problem-solving skills. Expertise in MS Excel, SQL, Power Query, and ETL tools like Alteryx, DataIKU. Knowledge of Statistical modelling or ML is preferred Experience working with Power BI Proficiency in statistical analysis tools (R, Python, or similar) will be preferred High agility to work across projects, dataset and technologies Ability to operate optimally in an international matrix environment. Strong teammate who is dynamic and result oriented Understanding of healthcare terminology and real-world patient level data will be desirable Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Skills: SQL, Advanced Excel & Power point ETL tools (Alteryx, DataIKU) Power BI Good to have knowledge of Python and/or Snowflake. Knowledge of Statistical Analysis, AI/ML will be desirable Process Documentation Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities: Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies: Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience: We welcome a bachelors or masters degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e. g. , R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Adobe CJA Configuration Engineer The key responsibilities include configuring CJA setups, managing data integrity in Adobe Experience Platform (AEP), and developing actionable insights via dashboards and reports. The candidate will also integrate CJA with other Adobe Experience Cloud solutions and ensure best practices for data governance. Key responsibilities of an Adobe CJA role include: Data integration and management: Pulling data from various sources and preparing it for analysis within Adobe CJA. Customer journey mapping: Visualizing customer interactions across touchpoints to identify key moments and potential pain points. Advanced analytics: Utilizing CJA features like path analysis, cohort analysis, and attribution modeling to understand customer behavior and campaign effectiveness. Dashboard development: Creating interactive dashboards to present key customer journey insights to stakeholders. Reporting and analysis: Interpreting data to generate actionable insights and recommendations for improving customer experience. Skills and qualifications for an Adobe CJA role: Technical expertise: Strong understanding of Adobe Analytics platform, including CJA features, data models, and analysis techniques. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization. Adobe Analytics, Cja

Job Description: Designation: Senior research analyst Experience: 2 to 5 years Location: Mumbai Functional Responsibility: Customized Research: Work on client specific assignments (Customized Research) Assignments would largely include demand assessment, market entry/product strategy, business planning support, feasibility analysis, and competitive benchmarking Analysis of industry dynamics from all relevant angles (demand-supply, profitability, investments, regulation competitive landscape etc.) Prepare demand forecasting models based on qualitative and, when appropriate, statistical analysis Extensive secondary and primary research for obtaining relevant inputs Ability to independently undertake intensive interactions with market participants for sourcing critical information Willingness to travel for industry interaction and build network of sources in critical areas Ability to form hypothesis, validate assumptions, test based on data gathered and write a cogent and logical report To showcase work and deliver presentations to clients and internal committees Support to Senior Manager/Director in making presentations to clients and at seminars/conferences, etc. Author and publish articles to showcase thought-leadership and build franchise for the business Support Business Development team in preparing proposals, including carrying out initial feasibility assessment and effort estimation for the assignment

Key Responsibilities Design statistical analysis plans for clinical trialsobservational studiesand laboratory experiments. Perform statistical analyses using appropriate software (e.g.SASRPython). Collaborate with clinical researchersdata managersand regulatory teams to ensure data integrity and compliance. Interpret and communicate statistical results clearly to cross-functional teams and stakeholders. Prepare tableslistingsand figures for clinical study reports and publications. Support the preparation of documents for regulatory submissions (e.g.FDAEMA). Stay current with advancements in biostatistics and relevant regulatory guidelines. Contribute to protocol developmentdata monitoringand interim analysis. Provide statistical consulting to internal teams on study design and methodology.

The Associate Statistical Programmer will work with Medical Affairs biostatisticians and/or programmers and Sanofi Business Operations biostatistics and programming personnel to implement statistical analysis plans and provide QC d data packages including tables, figures, and listings for use in publications (ie abstracts, posters, oral, presentations, manuscripts, and ad-hoc data analysis requests) ; The Associate Statistical Programmer will assist in developing, implementing of programming techniques. The Associate Statistical Programmer will ensure SOPs are followe'd and that timelines and quality standards are met. People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and/or programming team members within the allocated Global business unit and product - with an objective to develop statistical data outputs. Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data and/or registry. 2) Design, develop, test, implement, and document statistical programming in high-level software packages eg SAS. 3) Produce we'll documented data packages that include tables, listings, and figures. 4) Closely follow QC plans and timelines set by senior members of the Sanofi Business Operations biostatistics and programming team. 5) Remain current on advanced programming methods Customer: 1) Work closely with Global Medical Affairs biostatisticians and/or programmers to identify statistical analysis needs and assist in developing assigned deliverables. About you Experience : B.Sc. or Masters degree minimum 1 years of relevant experience required, or a minimum of 6 months of relevant internship experience. Soft skills : Ability to manage timelines and Ability to work independently and within a team environment. Technical skills : Base SAS programming skills, basic knowledge SDTM & ADaM (CDISC) Education : Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. Languages : Excellent English language knowledge - written and spoken

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