160 Statistical Analysis Jobs - Page 6

What this job involves: The Analyst will work in collaboration with Asset Managers to implement value-added strategies for JLL Real Estate Capital, LLC (JLL REC) multifamily and commercial properties while maintaining the core ethical values of JLL REC. The Analyst must demonstrate attention to detail, organization, analytical orientation, leadership, and possess the initiative to work in an independent and reliable manner. The Analyst will be relied upon by the team to analyze the financial performance of the JLL REC portfolio and provide thoughtful analysis which will be heavily utilized for JLL RECs overall risk assessment. Building positive and professional rapport with the Asset Management team, JLL Production, Agency colleagues, and Borrowers is a key component to the Analyst providing value to JLL REC through financial analysis. The Analyst, with guidance from Asset Managers and Portfolio Managers, will be expected to proactively manage risk while being available as direct support for the Asset Management team for analytics, reports, and various projects. Passion for real estate Do you live and breathe real estate financial analysis After understanding your prospects real estate needs, you will take the lead in arranging their viewing schedules, analysing the pros and cons of respective options, advising them on the best asset management strategies and seeing those strategies through to ensure maximum results. Working closely with our other brokers and analysts from various global offices, you will put together to analyze the financial performance of the JLL REC portfolio. Hunting for your next success Does new business light a fire in you We, too, are just as passionate about growing our portfolio! You will always be searching for your next deal. Youll grow and leverage your network of contacts to ensure you are at the forefront of the market. Negotiating for the best deal Are you confident in your negotiation skills You will need to perform financial analysis and conduct due diligence in order to convince your prospects of your case. Your advice can help them to make a decision between renewing or relocating and the real estate option they choose eventually. Such decisions will shape the real estate footprint of your prospects. Delivering excellent service You will attend routine meeting with the client together with the team head. You will attend ad-hoc meetings with analysts to address their concerns and to build a good rapport with them. Sound like you Energetic Individual Are you bursting with energy and ready to hit the road running Your passion in cultivating new contacts will be integral in helping the business grow its market share. A go-getter at heart, you aim to excel in this competitive office leasing space while creating an impression in the market. Inquisitive Are you interested to acquire more knowledge about the risk assessment of real estate You will expected to proactively manage risk while being available as direct support for the Asset Management team for analytics, reports and various projects. We are happy to bring on enthusiastic candidates with a flair in developing new business in other real estate asset classes such as residential, retail or industrial spaces and providing them with the opportunity to develop their career. Team player While you will be required to work independently while chasing your own leads, we work closely within the global team to service international clients. You can learn from the best brokers in the industry and pick up the market skills required to know how to manage your clients needs in the long run. Great communicator Can you put your ideas across to your clients clearly both verbally and in writing JLL is the leading real estate solutions provider therefore we pride ourselves to be able to present our proposed commercial spaces and negotiated terms clearly to the various stakeholders within our clients organization. Excellent communication skill is imperative in this case and you will need to manage your schedule well in order to juggle your existing tenants as well as sourcing for new ones. To apply you need to be: Being Analytical You will be building, maintaining, supporting and validating primary and secondary sources to be used to support our Asset Management team for analytics, reports and various projects. You will also be extracting valuable information from public data sources ranging from macroeconomic trends, industry developments, company financial information and competitor landscape. You will also be involved in data cleaning, preparation, interpretation and analysis using statistical technique and tools in Excel, Internal CRM database and other data management systems. Meticulous You must pay attention to detail and have excellent problem-solving skills. Possess the ability to collate information into cohesive presentations with proper slide layout design. Duties & responsibilities Analyze annual and quarterly financial statements for an assigned portfolio of multifamily and commercial properties in accordance with JLL REC best practices and the requirements of Fannie Mae, Freddie Mac, HUD, Life Companies and other Investors Participate in Asset Management related meetings as requested Prepare and submit assigned reporting to management and investors, as required Lead individually assigned departmental tasks Other duties as deemed necessary Qualifications You will have a Degree Diploma or relevant educational background in Real Estate, Business Administration or Accounting & Finance with min 2-5 years of working experience. You are well verse in Microsoft Office and real estate financial analysis, ability to recognize and mitigate risk, detail oriented, ability to multi-task and manage deadlines, strong customer service skills (written and verbal). Strong Microsoft Excel and Word proficiency Strong math, verbal, writing, and organizational skills Strong time management skills and ability to operate under demanding deadlines Ability to multitask and work on several transactions simultaneously Ability to recognize risk Excellent attention to detail Ability to audit own work Ability to work independently and in teams

We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making. Key Responsibilities: Develop and deploy scalable machine learning models to address business challenges. Utilize NLP techniques to extract insights from unstructured text data. Implement graph neural networks to analyze relational data and uncover complex patterns. Conduct topic modeling to distill key themes from large datasets. Design, implement, and analyze experiments to inform data-driven decisions. Collaborate with cross-functional teams to identify, define, and solve challenging problems. Communicate findings and recommendations to stakeholders in a clear and concise manner. Continuously stay updated with the latest advancements in data science, machine learning, and related fields. Required Qualifications and Skills: bachelors degree in computer science, Statistics, Mathematics, or a related field. Proven experience in machine learning, NLP, and generative AI. Proficiency in graph neural networks and topic modeling. Skills in deep learning architecture and training neural networks Strong programming skills in Python, R, or a similar language. Excellent analytical, problem-solving, and critical-thinking skills. Ability to communicate complex technical concepts to non-technical audiences. Preferred Qualifications and Skills: Masters or Ph.D. in a relevant field bachelors from reputed college with keen desire to learn Experience in the design of experiments and statistical analysis. Knowledge of cloud platforms (eg, AWS, Google Cloud, Azure). Strong project management and organizational skills. Languages : English.

The Senior Associate will be involved in endtoend software development lifecycle from ideation till implementation to own the product and the responsible for all the below mentioned points. Resource for functional team of taxtechnology practice Understand requirements 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 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 Classification Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Scenario Planning, SelfAwareness, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research

The Senior Associate will be involved in endtoend software development lifecycle from ideation till implementation to own the product and the responsible for all the below mentioned points. Resource for functional team of taxtechnology practice Understand requirements 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 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 Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Scenario Planning, SelfAwareness, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research

-Responsible for all statistical programming/data review reporting and analytics development aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high quality deliverables. Complies with project / study standards and specifications following internal and regulatory guidelines. Oversees programming style, quality of statistical reporting compliance with timelines. About the Role Major accountabilities: Lead statistical programming activities for several studies or drive the implementation of data analytics reports -Make decisions and propose strategies at study or project level. May act as functional manager for local associates including providing supervision and advice on functional expertise and processes. Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical aspects (timelines, scope, resource plan), eg as representative in study or project-level team. Ensure project-level standardization -Provide and implement programming solutions; ensure knowledge sharing. Act as expert in problem-solving aspects. Ensure timely and quality development and validation of datasets and outputs for regulatory submissions/interactions, safety reports, publications, post-marketing activities etc -Leads/co leads novel projects within the team -Generates innovative ideas within own team and /or project team /functional community -Recognizes and leverages innovation opportunities for own team across projects -Mentors and inspires others to solve problems -Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable) Key performance indicators: Achieve high level of quality, timeliness, cost efficiency and customer satisfaction across functional activities and deliverables. Adherence to Novartis policy and guidelines -Customer / partner feedback and satisfaction Minimum Requirements: Work Experience: Biostatistics. Clinical Research Phases. RD Portfolio Management. Statistical Programming. Data Management Systems. Regulatory Submissions. Innovative Analytical Technologies. Clinical Trial Design, Data Review Reporting. Skills: Classification Systems. Clinical Trials. Computer Data Storage. Computer Programming. Cross-Functional Teams. Data Analysis. Data Structures. Initiative. Programming Languages. Reporting. Statistical Analysis. Languages : English.

In-process quality inspection & Process performance monitoring of Ceiling FAN. In-process Quality Performance, Process Validation, Error Proofing Controls. Responsible for ensuring product quality at supplier end by PDI as per inspection plan. Product testing & validation for ensuring quality and reliability. Driving quality initiatives at vendor end like Project Delight, quality circle, improvement projects based on data analysis. New part development process monitoring & Pilot batch inspection and clearance. Continuous Monitoring of data by statical analysis & driving improvement at process stage. Vendor assessment & upgradation. Supplier development for fans (Top end shield/Bottom End shield) as per framework

Job Description Responsibilities: Gather and manage data from various sources related to inventory and supply chain. Develop and implement statistical models and techniques to solve complex problems. Apply statistical methodologies to analyze inventory data and identify trends and patterns. Develop predictive models to forecast inventory needs based on historical data and market trends. Review current safety stock models and Inventory Optimization Models and suggest other techniques that are available with use cases Utilize inventory management software and statistical tools (e.g., R, SAS, SPSS) to track and analyze data. Interpret and present data findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to provide statistical insights and recommendations. Qualifications REQUIRED Masters degree in Statistics, Mathematics, Economics, Supply Chain or a related field. Proven experience in statistical analysis and data interpretation in areas specific to Saf

ML Engineer Experience: 0 - 2 Years Exp Salary : INR 10-12 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Algorithms, Cnn, Data Structures, Machine Learning, Ml frameworks, Statistical analysis Good to have skills : Start-up Experience Leegality (One of Uplers' Clients) is Looking for: ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What you'll do As an ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Requirements - Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Exposure to generative AI (LLM) based ML architectures Experienced in working with CNN. Knows how to train and fine-tune CNN-based models. Documenting machine learning processes. Requirements: 1+ years of relevant experience in Machine Learning Engineering. Advanced proficiency with Python. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Preferences: Start-up experience is good to have. Willing to join immediately, ideally. Female candidates are preferred Interview Process - Technical Round 1 Assessment Technical Round 2 Round 3 - with the Tech Lead How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Leegality is a category defining company. With Leegality, Indian businesses can remove the paper from their paperwork About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

we're hiring a Staff Scientist for Uber s Direct, Connect, and Grocery Delivery team three of the company s fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime. In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber s delivery platforms. you'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights ensuring every decision is grounded in rigorous, data-driven thinking. we're looking for someone with deep analytical expertise and a strong business mindset an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products. What you'll Do: Serve as Science Tech Lead (IC) for a team based in India, supporting Uber s Direct, Connect, and Grocery Delivery business. Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences. Translate complex data into actionable insights for executives and cross-functional stakeholders. Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap. Mentor scientists and promote best practices in data science and machine learning. Foster a culture of scientific rigor and strong cross-functional collaboration. What you'll Need: Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment.

About the job Enovix (Nasdaq: ENVX) is an advanced silicon battery company based in Fremont, Calif. Enovix is on a mission to power the technologies of the future. Everything from IoT, mobile and computing devices, to the vehicle you drive, needs a better battery. Our disruptive architecture enables a battery with high energy density and capacity without compromising safety. We are scaling our silicon-anode, lithium-ion battery manufacturing capabilities to meet customer demand. Responsibilities: Lead process development to improve battery performance to meet final product performance and reliability requirements. Design and run well-designed experiments based on DOE methodologies. Perform battery physical characteristic analysis and extract critical insights. Effectively collaborate with colleagues around the world - in California, India, Korea and Malaysia. Perform FMEA and root cause analysis. Effectively communicate the results to various stakeholders. Qualifications: BS, MS, or PhD in Chemical Engineering, Materials Science Engineering, Physics, Chemistry, Mechanical Engineering or related field with 2+ years industry experience. Strong knowledge of battery chemistry and physics is desirable. Experience working with battery testers or related electronics is a plus. Experience with using leading-edge battery and/or semiconductor material characterization techniques to drive failure analysis, understand degradation mechanisms, or improve yield. Experience with statistical analysis methods to drive experiment design and conclusions. Demonstrated capability to effectively analyze process data and extract/summarize meaningful information. Familiarity with SPC, DOE, FMEA and 8D methodologies. Enovix is an equal opportunity employer

As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

As the Lead Data Scientist at Siemens Advanta, you will play a pivotal role in driving data-driven decision-making and leading the development and implementation of advanced analytical models. You will work closely with cross-functional teams to identify business challenges, design data-driven solutions, and provide actionable insights to optimize processes and drive innovation. We are looking for: Lead AI Engineer Youll make a difference by: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise. Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Should have working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. Should have hands-on experience in Forecasting using traditional ML and Deep Networks Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Should understand CI/CD processes in product deployment and used it in delivery. Should have an understanding of the Dockerization, REST APIs Working knowledge on software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Youll win us over by 8+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in languages such as Python, R, or C++. Exposure to the industrial engineering domain is preferred. Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. Proficient in the use of data science tools Excellent analytical/statistical skills. Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

Job Title: Data Analyst Experience: 5 8 Years Location: Bangalore (BLR) Notice Period: Immediate to 15 Days Job Summary: We are looking for a seasoned Data Analyst with 5–8 years of professional experience to join our analytics team in Bangalore. The ideal candidate will have strong technical expertise in SQL, Python, data visualization tools, and statistical analysis. You will play a crucial role in uncovering insights that drive strategic business decisions. Key Responsibilities: Analyze complex datasets to extract actionable insights aligned with business objectives. Build, optimize, and maintain dashboards and reports using BI tools. Write complex SQL queries for data extraction, transformation, and reporting. Apply statistical techniques to identify trends, patterns, and anomalies. Collaborate with product managers, engineers, and other stakeholders to define metrics and KPIs. Automate data workflows and streamline reporting processes. Present findings and recommendations to senior leadership in a clear and concise manner. Mandatory Technical Skills: SkillDescription SQL Advanced query writing, joins, aggregations, window functions Python Data manipulation with Pandas, NumPy; basic scripting; data visualization Data Visualization Hands-on with Power BI , Tableau , or LookerExcel Advanced functions (VLOOKUP, pivot tables, macros) Statistics Hypothesis testing, regression, forecasting ETL/Data Pipelines Understanding of data ingestion and transformation processes Cloud (Preferred) Basic knowledge of AWS/GCP/Azure data services Preferred/Bonus Skills: R for statistical computing Experience with big data tools (Spark, Hive) Exposure to A/B testing and predictive modeling Familiarity with data warehousing concepts and tools like Snowflake or Redshift Experience working with version control (Git) and Agile methodologies

We are looking for a skilled professional with 8 to 12 years of experience to join our team as an Assistant Director/Manager - Service Excellence in Bengaluru. The ideal candidate will have a strong background in problem-solving and driving change through technology. ### Roles and Responsibility Develop and implement process improvements to enhance service excellence and efficiency. Manage business stakeholders across different levels, building strong relationships and ensuring seamless project delivery. Conduct assessments of current processes to identify improvement and automation opportunities, creating an automation and transformation roadmap. Collaborate with various functions to ensure system solutions meet functional requirements. Present data, share analysis, and gain stakeholder concurrence on actions for assigned processes. Set up lagged and leading indicators for measurement within the system, building and driving calibration models to standardize onshore and offshore processes. Demonstrate skills in data cleansing, data quality assessment, and using analytics for data assessment. Participate in continuous improvement initiatives (KAIZEN) and other quality-related initiatives to spread quality awareness. Deploy consulting best practices, knowledge, and techniques when undertaking work. Perform rapid assessments of client landscapes, providing insights around hypotheses and solutions. ### Job Requirements Strong experience in problem-solving and driving change through technology. Total experience between 8-12 years, including managing or supporting workstreams/project initiatives in large-scale transformation projects. Knowledge of Business Process Re-Engineering, Six-sigma concepts of DMAIC, Project Management, and all related tools. Experience in mentoring and implementing projects, along with expertise in creating, reviewing, and closing projects. Well-versed with contemporary technologies such as RPA, Machine learning, Artificial Intelligence, and Analytics. Experience in process due diligence and diagnostics, building solutions, and restructuring processes. Assertive, strong orientation towards statistical analysis, good team player, and willingness to lead teams not reporting into them. Ability to set up metrics for measurement in the system and build and drive calibration models. Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment. Should have taken part in Continuous improvement initiatives (KAIZEN) and other Quality-related initiatives to spread quality awareness. Excellent communication skills, result-oriented, self-driven person with a high energy level, analytical and structured with extensive experience in managing a high-performance team. Knowledge of statistical tools. Knowledge of data science and exposure to decision science projects. Knowledge of business analytics tools like Tableau, PowerBI, or similar tools. Exposure to agile framework. Exposure to Design Thinking framework. Exposure to latest AI/Gen AI tools. Implement visualization concepts. Expertise in building reports and deriving intelligence from them.

Looking to onboard a skilled Reporting & Analytics Lead with 15 to 20 years of experience to oversee the data and analytics operations within our Unified Support Services (USS) Function. The ideal candidate will have a strong background in data management, analytics methodologies, and the ability to translate complex data into actionable business strategies. ### Roles and Responsibility Develop and implement a comprehensive data and analytics strategy aligned with the USS objectives. Lead and manage a team of data analysts, data scientists, and other data professionals, providing guidance and mentorship. Oversee the collection, storage, management, quality, and protection of data. Drive the adoption of analytics tools and data-driven decision-making across the organization. Collaborate with IT and business stakeholders to ensure seamless integration of data systems and analytics solutions. Design and monitor key performance indicators (KPIs) to measure the effectiveness of data and analytics initiatives. ### Job Requirements Proven leadership experience in a data and analytics role. Strong understanding of data management principles, data architecture, and analytics platforms. Expertise in statistical analysis, predictive modeling, and data visualization techniques. Excellent communication, collaboration, and project management skills. Ability to lead and inspire a team in a fast-paced and evolving environment. Over 15 years of experience in IT support services, with significant leadership experience in managing large-scale operations. Strong understanding of ITIL service management frameworks with relevant certifications. Demonstrated experience in driving service improvement and innovation in a complex, multinational organization. Excellent communication, negotiation, and interpersonal skills, with the ability to engage effectively with all levels of the organization and external partners. Strategic and analytical thinker with robust problem-solving skills. Demonstrates an in-depth knowledge of how IT reporting & analytics solutions support customer fulfillment and productivity to achieve short- and long-term business goals Applies a deep understanding of Service desk and Onsite support services needs to identify critical outcomes, barriers to success, and changes in expectations or scope Ability to build and maintain relationships with key leadership, building business acumen and linking business needs Ability to defuse difficult conversations while maintaining confidence, transparency and trust Uses in-depth knowledge of business/clients/industry, professional organizations, market trends and legislation to identify key issues and trends and make recommendations Possess innovative mindset by being open to new ideas and promoting team members to think differently

The RPA Developer will play a crucial role in designing, developing, and deploying machine learning models and RPA solutions to address complex business challenges and opportunities. This position requires a deep understanding of financial systems, accounting, and planning processes, as well as strong analytical and problem-solving skills. The RPA Developer will collaborate with cross-functional teams to identify automation opportunities, optimize business processes, and deliver data-driven solutions that enhance operational efficiency and reduce manual errors. Responsibilities: Design, develop, and deploy machine learning models to address business challenges and opportunities. Implement RPA solutions to automate repetitive tasks, improve operational efficiency, and reduce manual errors. Collaborate with cross-functional teams to understand business requirements, identify opportunities for automation and optimization, and deliver data-driven solutions. Understand organization technological capabilities to identify opportunities to optimize functionality across teams. Participate in special projects involving the enhancement and upgrade of financial systems as well as integrations related to business combinations and new application implementations, which includes strategic development of technology enhancements, end user support, system troubleshooting, testing, and training activities, all aimed at business process and system optimization. Provide training and support to end-users to facilitate self-service integration capabilities. Work closely with local and global IT, local and global Process Owners and other support teams that maintain data or monitor system accessibility to end users. Conduct thorough End to End testing of automated solutions to identify and rectify any errors or inefficiencies. Maintain proper documentation for automated solutions, test procedures, and scenarios. Regularly assess and enhance existing automation processes to optimize efficiency and adapt to evolving business requirements. Develop and maintain a robust RPA governance framework to ensure compliance with organizational policies and standards. Ensure the scalability and reliability of RPA solutions to support business growth and transformation. PowerBI and other report automation Knowledge of Power Automate Familiar with IQ Bot with Automation Anywhere. Stay up-to-date with the latest industry trends and technologies Required Qualifications: Bachelors degree in Computer Science or a related field. Hands-on experience with Robotic Process Automation (RPA) tools such as Automation Anywhere. Solid understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Understands different RPA tool capabilities to solve problems during development and deployment. Exposure to financial systems and understanding of financial processes. Proficiency in SQL and database management. Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment. Strong communication and interpersonal skills, with the ability to present complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with other automation tools and frameworks. Certification in RPA, Snowflake, MySQL or Power BI. Prior experience with Oracle Fusion ERP Cloud Application. Knowledge of security and compliance standards related to financial and healthcare data is desirable.

Developing, optimising and improving manufacturing processes to enhance productivity, quality and safety. Identifying and implementing process improvements to reduce costs, minimise waste and increase efficiency. Collaborating with cross-functional teams to ensure smooth integration of new processes, technologies and equipment. Monitoring and analysing process data, identifying trends and proposing solutions for process improvement continuously. Performing process capability studies, statistical analysis and data-driven decision-making to achieve operational excellence and meet production targets. Ensuring compliance with safety, environmental and regulatory requirements in all process engineering activities. Required Skill Set / Keywords : API/ Intermediate and Multi product manufacturing Candidates Location: Gujrat, Maharashtra

The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help drive business decisions. They should have strong analytical skills, proficiency in data visualization tools, and the ability to communicate insights effectively. Collect, clean, and analyze large datasets to identify trends and insights. Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel. Work closely with different teams to understand data requirements and provide actionable insights. Perform statistical analysis and predictive modeling to support business strategies. Ensure data accuracy, consistency, and security in compliance with company policies. Present findings and recommendations to stakeholders in a clear and meaningful way. Basic knowledge of Python Strong proficiency in SQL, Excel, and data visualization tools (Power BI/Tableau). Experience with Python or R for data analysis (preferred). Strong analytical and problem-solving skills. Ability to communicate insights effectively to both technical and non-technical stakeholders. Knowledge of data cleaning, transformation, and reporting best practices. Education- Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.

A Data and Machine Learning Specialist is responsible for managing, analyzing, and leveraging data to drive business insights and develop predictive models. This role combines elements of data science, data engineering, data management, and machine learning to ensure data-driven decision-making and innovation. Responsibilities: Data Collection & Management: Gather, clean, and organize data from various sources to ensure its accuracy and accessibility. Data Analysis: Utilize statistical methods and machine learning tools to analyze data and uncover trends and patterns. Pipeline Development: Design and maintain efficient data pipelines and architectures to facilitate seamless data flow. Model Development: Create, test, and optimize machine learning models and algorithms to solve complex problems. Reporting & Visualization: Present findings through detailed reports and visualizations to communicate insights effectively. Collaboration: Work closely with cross-functional teams, including software engineers, data scientists, and business analysts, to implement data-driven solutions. Performance Optimization: Continuously improve data delivery, scalability, and model performance. Documentation: Maintain thorough documentation of processes, models, and results. Requirements: Bachelors or equivalent degree with over 5+ years of experience and proficiency in programming languages such as Python, SQL. Strong knowledge of cloud platforms like AWS, Google Cloud, or Microsoft Azure. Experience with data visualization tools and techniques. Solid understanding of machine learning algorithms and statistical analysis. Excellent problem-solving skills and attention to detail. Ability to collaborate effectively with diverse teams.

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. The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Analytics Lead to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will lead the analytics and insights efforts for one of the Amazon Music product teams. You will set the analytics roadmap and direction for the domain and work with stakeholders and partners to deliver self-service solutions, insights, learning white papers and models to advance our analytics and science offerings. The ideal candidate must be willing to effectively lead analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. Key job responsibilities - Working with product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions. - Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through . - Join large and growing BI/ Science team to leverage extensive music listening to better understand customers and contribute to product and marketing strategy. - Defining and developing tests to identify the best way to reach, convert, and retain customers. - Reporting to senior leadership and the team at large, on customer, product and customer insights and trends. - Proactively developing new metrics and studies to quantify customer behavior. - Combining online web customer behavior and offline customer attributes to gain novel and strong understanding of Digital Music customers. - Quickly build a thorough understanding of the Digital Music industry, its seasonality and global business trends and continually monitor the impact of important industry developments. - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership

Amazons WHS Central Programs team (IN) is seeking a skilled and motivated Program Manager to assist in the tactical management and execution of the WHS programs worldwide. This provides an opportunity to join a team that is continuously evolving and growing. Team works on WW WHS programs to drive injury prevention, risk management, OSHA Compliance. Program Manager, WHS will build processes and work with the program team across geographies and market places. We are looking for a strong leader who is passionate about managing projects, developing scalable solutions, driving process improvement, and can work with multiple teams. The leader will be responsible for partnering with the WW WHS team, operations team, and tech partners for the execution of the program. By leveraging lean mechanisms and Kaizens, this individual will build processes to drive continuous improvement initiatives to ensure risk management that impact the site operations and create a safe, healthy, and engaging working environment for our Associates. The person needs to work with Senior leaders to create and achieve the WHS vision in alignment with Amazon s global standards, policies, and procedures. The program manager must be an effective communicator and send clear, concise, and consistent written and verbal messages. The person will be required to identify best practices and incorporate these best practices into our standards to continuously improve the processes. The person must possess excellent program management skills, a relevant Operational & Safety background and knowledge in Safety and EHS regulatory standard requirements. The individual must have the ability to work with cross-functional teams, including senior leadership in across the globe. We are willing to consider candidates for on-site positions in Bengaluru, India Key job responsibilities Key job responsibilities Possess a thorough understanding of WHS Global / federal regulations and data analytics. Analyze WHS metrics and review incident trends and develop technical insight report. Propose solutions towards WHS programs and process simplification. Audit recordkeeping practices, AUSTIN entries to ensure compliance to global WHS standards and regulations. Partner with Cross functional leaders to secure resources, scope efforts, set project priorities and milestones, and drive delivery. Help internal WHS team to determine where to iterate to make improvements. Responsible for organizing/collecting data, writing PR/FAQs and other strategic program documentation (e.g., Technical Whitepaper, WBR, MBR etc.). Oversee a program roll-out process, including shepherding testing, and other WHS program launch efforts. Manage post-launch support plans (e.g., post-mortem, issue/ticket management, possibly COEs). Drive program innovation / simplified mechanism for existing projects and look for opportunities to improve system quality and operational excellence. Complexity: Defines performance reporting processes to track and monitor WHS metrics and quality of deliverables for projects and BU goals. Develops Standard Operating Procedures and Process Map Visuals by identifying key opportunity areas to minimize the injuries occurring in sites by studying the injury themes and patterns. Finds scalable and quick solutions to deliver changing stakeholder requirements as per update in WHS regulations. Provide high level insights through complex data and statistical analysis for MBR. Develop Whitepapers to propose injury reduction initiative and work with Program/Ops team to pilot and deploy projects. Influence: Communicates effectively to align team members with stakeholder requirements. Earns trust of stakeholders by making recommendations on process by challenging the status quo and improving them. Lead & influence independently without authority to ensure on-time delivery from peers. Works on escalation responses from WHS field teams, provides strategic insights by doing complex analysis to help WHS Programs leaders take better decision Impact: Drives process improvements by capturing gaps and proposing/developing solutions or mechanisms to bridge them. Impacts WHS Central Programs team goals and project related metrics. - 5+ years of program or project management experience - 3+ years of working cross functionally with tech and non-tech teams experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Bachelors degree in science, engineering or equivalent. - Excellent computer skills for use of digital tools for project management, document control and data visualization (Advanced MS Excel, Sharepoint, Quicksight) - Strong verbal and written communication skills. - Experience defining program requirements and using data and metrics to determine improvements - Masters degree in analytics or equivalent Lean Principles, Six Sigma Certification

Tax Industry/Sector Management Level Senior Manager & Summary At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. 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 & Summary As Sr. Java Engineer with experience up to 10 years, you will be responsible for providing technical solution to Business problem. You will be closely work with business team during requirement gathering and further working with Vendors teams to develop a solution. You will need to review, design and approach from vendor team and ensure they deliver product with right quality on right time and with optimum cost. You will also be required to develop and deliver modules independently. As our aspiration is to remain always on the cutting edge of technology, you will also help us in doing POCs on emerging technologies. Handson designing, building, and maintaining a microservice based applications. Have worked on diverse stack like Java, Python, PySpark and various frontend frameworks like Angular, React and databases like Mongo, MySQL etc. Strong knowledge of containerization (Docker), orchestration (Kubernetes) and CI/CD. Passionate and interested in AI/ML technologies and cloud infrastructure Should have experience of 48 years in microservices development and deployment. Hands on knowledge on various cloud platform AWS, Azure Experience of working on multiple modules Ability to multitask across different tracks Proven experience in design, architecture review and Impact Analysis of Technical changes. Proven experience in working with large teams Excellent presentation and communication skills Excellent Interpersonal Skills Well versed with the emerging Technology Trends Working experience of Big Data technologies, Generative AI and Data Platform will be a big plus. Mandatory skill sets Java Engineer Preferred skill sets Java Engineer Years of experience required 10 to 1 5 Yrs Education qualification B.Tech / M.Tech Education Degrees/Field of Study required Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Influence, Intellectual Curiosity, Learning Agility, Optimism, Professional Courage, Rapid Experimentation, Relationship Building, Scenario Planning, SelfAwareness, Service Excellence, Statistical Analysis {+ 9 more} No

The PMR manager will support decision making across the organization adding value as a functional expert in designing innovative research approaches to answer key business questions and support growth by leading the development and execution of primary market research. Proactively combining information from different sources, mainly market research, to evaluate brands performance and market trends using innovative statistical analysis techniques. Evaluating the success of marketing initiatives through market research with significant focus on ensuring tight alignment with global brand teams and country insights teams. Key Responsibilities: Drive innovation and capability building, including new techniques, data sources, automation and Al to enhance process efficiency and value of Insights. Very strong functional leader, with the ability to influence across senior leaders in Novartis Understands brand teams perspectives (objectives, priorities, and support/capability requirements) Lead experimentation and worldwide adoption of innovative PMR solutions Consistently monitor execution of PMR projects to support performance and growth of key brand strategies across Novartis Design and execute primary market research to surface and deliver insights to brand teams Establish expectations and approaches to better understand and impact patient journeys Drive a continuous improvement mind-set within the team in relation to data analysis Plan and design market research analyses based on a sound understanding of the research tools, techniques, datasets, and resources available and their use at various stages of the product life-cycle Provide effective guidance to planning of studies, including research material design Input and guide report structure to illustrate complex analysis in user friendly and easy to digest way Provide alternative proposals/different approaches and suggestions for optimization of approach and synergies with other studies executed or planned Implement and execute studies on local, regional & global level Design and implement new statistical methodologies, processes and/or solutions to strengthen current research practices Assist with delivery of financial targets for PMR Meet KPIs tied to performance to contribute to overall financial and department success Essential Requirements: 10+ years previous work in market research / specialist agencies Significant experience of managing multi-methodology market research projects encompassing multi-markets Experience in working across regions and within a commercial, primary market research team and the ability to work with a cross-functional team in a matrix environment. Project management - scoping, defining deliverables, business case development and reporting at a senior level including the ability to communicate effectively and to have a persuasive and credible presentation style Strong business acumen and solution-orientation mindset including budget and P&L management Experience in remote relationships (on-shore/off-shore capability delivery). Preferred: Knowledge of the disease areas within the Pharma sector, with strong leadership and communication skills University degree BA/BS/MA degree in business, statistics/mathematics, medicine, sciences, health economics, sociology, psychology.

: We are seeking talented and highly motivated Data Scientists to join our dynamic team. As an entry-level data scientist, you will play a critical role in analyzing data, developing, and testing AI/ML models, and delivering valuable insights to drive data-informed decisions. : Collect, clean, and process large datasets from multiple sources Develop and test advanced machine learning algorithms and models to solve problems in a computationally efficient and statistically effective manner Analyze and interpret data to identify trends, patterns, and insights by executing statistical and data mining techniques Visualize data and present findings to stakeholders Collaborate with cross-functional teams to identify business problems and develop data-driven solutions Communicate project progress and results to relevant stakeholders Stay up to date with the latest data science techniques and tools : Currently enrolled in a Bachelors program in Computer Science, Statistics, Mathematics, or a related field Should have relevant project work and/or internships with proven implementation of data science concepts Proficient in Python and must know about libraries like (Pandas, Scikit-Learn, , Matplotlib, TensorFlow, etc.); SQL, R is a plus Good understanding of data manipulation, statistical analysis, and machine learning algorithms concepts Ability to work independently and manage multiple tasks simultaneously Strong attention to detail, with a research-focused mindset. Excellent critical thinking and problem-solving skills Excellent communication - should be able to describe findings to a technical and non-technical audience Familiarity with data visualization tools such as Tableau or Power BI is a plus High motivation and good work ethic is a must

Job Title: Research Associate Mathematics (PhD) Location: Talegaon Dabhade, Pune Employment Type: Full-time Organization: Labtech Innovations About Labtech Innovations: Labtech Innovations is a premier organization dedicated to promoting cutting-edge research, innovation, and intellectual property development. We specialize in research consultancy, academic publishing, patent support, and collaboration with academic institutions, research scholars, and startups across domains including engineering, sciences, and interdisciplinary studies. Position Overview: We are seeking a highly qualified and research-driven Research Associate with a PhD in Mathematics to contribute to our ongoing and upcoming academic and applied research projects. The ideal candidate should have strong analytical and theoretical skills, along with experience in publishing research in reputed journals. Key Responsibilities: Conduct advanced research in pure or applied mathematics as per project or publication goals Contribute to academic writing, journal submissions (Scopus/WoS), and collaborative research proposals Support PhD and MTech scholars with guidance, statistical validation, and modeling techniques Prepare research documentation, reports, presentations, and publication-ready manuscripts Collaborate with interdisciplinary teams (AI/ML, Data Science, Engineering) where mathematical modeling is applicable Participate in academic events, webinars, and grant-writing initiatives when needed Requirements Required Qualifications and Skills: PhD in Mathematics from a recognized university Strong academic background with publications in Scopus/Web of Science journals Proficiency in mathematical modeling, numerical methods, and statistical analysis Familiarity with tools such as MATLAB, R, LaTeX, or Python is preferred Excellent analytical thinking, problem-solving, and research documentation skills Strong command over academic writing and literature review