1826 Data Mining Jobs - Page 31

": " About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPPs global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com About EssenceMediacom: A Leading WPP Media Brand E ssenceMediacom is a new breed of media agency. Grounded in analytics & insights and powered by data & technology, we believe in the power of media and creative to drive breakthroughs for the worlds best brands. We help clients understand the modern marketing paradox and discover the breakthroughs brands need to win with their consumers. We are designed for the new communications economy \u2014 built on data & technology, built for people & algorithms, built around diverse schools of thought, built to test & learn at scale, and, crucially, built to evolve. Role Summary and Impact Responsible for client serving and end to end campaign planning & management and driving strategic brand conversations Reporting of the role Reports to the Client lead / Sr. Director on the business. 3 best things about the job: Gain full-funnel agency exposure in a horizontally integrated structure, offering holistic experience across the ecosystem and expanding your WPP and market network. Become a recognized category expert in the 2-wheeler segment, leading strategic conversations across various platforms. Grow your leadership style within an agency committed to nurturing talent. Measures of success In three months, you would have: Earned client confidence through deep business understanding and expert media planning knowledge. Established strong internal relationships within the WPP ecosystem for efficient navigation. In six months, you would have: Demonstrated hands-on industry knowledge and the ability to discuss measurement metrics across touchpoints based on campaign objectives. Built a cohesive team and mentored them to excel. In 12 months, you would have: Independently led and delivered on cross-client KPIs, becoming a standard-bearer for the companys vision. Responsibilities of the role: Engage in strategic planning and develop 360-degree planning approaches for new campaigns. Extract insights through data mining and articulate clear strategies. Effectively communicate with internal and external audiences across paid, owned, and earned media. Ensure meticulous attention to detail and accuracy in all submissions. Secure industry recognition through awards at forums like FOM, Cannes, Smarties, and RAMAI. Oversee all aspects of client media campaigns across brands and media channels. Supervise and design media plans using relevant tools. Foster a culture of innovation, encouraging contributions to creative media solutions. Proactively offer client inputs and directions, ensuring responsiveness to client needs. Initiate and drive quality analysis and cross-category case studies. Facilitate team development through on-the-job coaching and developmental training. Ensure smooth team functioning and timely resolution of conflicts. Skills and Experience Minimum 9 years of experience , with last 1 year in a similar role. Possess acute inquisitiveness and an entrepreneurial mindset. Demonstrate excellent communication, presentation, and client management skills. Exhibit strong business acumen for resource allocation and effective proposition selling to clients, with revenue responsibility. Understand 360-degree mediums (offline & online) and their impact on client businesses, including media buying, planning, brand investments, and tool utilization. Exhibit maturity and level headedness required to manage an existing team and clients effectively. Prioritize client and people management and servicing. Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and were just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when were together, fostering creativity, collaboration, and connection. Thats why weve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please read our Privacy Notice ( https: / / www.wppmedia.com / pages / privacy-policy ) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted. ",

": " About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPPs global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com About EssenceMediacom: A Leading WPP Media Brand EssenceMediacom is a new breed of media agency. Grounded in analytics & insights and powered by data & technology, we believe in the power of media and creative to drive breakthroughs for the worlds best brands. We help clients understand the modern marketing paradox and discover the breakthroughs brands need to win with their consumers. We are designed for the new communications economy \u2014 built on data & technology, built for people & algorithms, built around diverse schools of thought, built to test & learn at scale, and, crucially, built to evolve. Role Summary and Impact Lead a significant segment within the HMCL_IBU business portfolio, strategically guiding a team to achieve client media KPIs. Reporting of the role Reports to the client lead for the business. 3 best things about the job Gain full-funnel agency exposure in a horizontally integrated structure, offering holistic experience across the ecosystem and expanding your WPP and market network. Become a recognized category expert in the 2-wheeler segment, leading strategic conversations across various platforms. Grow your leadership style within an agency committed to nurturing talent. Measures of success In three months, you would have: Earned client confidence through deep business understanding and expert media planning knowledge. Established strong internal relationships within the WPP ecosystem for efficient navigation. In six months, you would have: Demonstrated hands-on industry knowledge and the ability to discuss measurement metrics across touchpoints based on campaign objectives. Built a cohesive team and mentored them to excel. In 12 months, you would have: Independently led and delivered on cross-client KPIs, becoming a standard-bearer for the companys vision. Responsibilities of the role: Engage in strategic planning and develop 360-degree planning approaches for new campaigns. Extract insights through data mining and articulate clear strategies. Effectively communicate with internal and external audiences across paid, owned, and earned media. Ensure meticulous attention to detail and accuracy in all submissions. Secure industry recognition through awards at forums like FOM, Cannes, Smarties, and RAMAI. Oversee all aspects of client media campaigns across brands and media channels. Supervise and design media plans using relevant tools. Foster a culture of innovation, encouraging contributions to creative media solutions. Proactively offer client inputs and directions, ensuring responsiveness to client needs. Initiate and drive quality analysis and cross-category case studies. Facilitate team development through on-the-job coaching and developmental training. Ensure smooth team functioning and timely resolution of conflicts. Skills and Experience Minimum 14 years of experience , with last 1 year in a similar role. Possess acute inquisitiveness and an entrepreneurial mindset. Demonstrate excellent communication, presentation, and client management skills. Exhibit strong business acumen for resource allocation and effective proposition selling to clients, with revenue responsibility. Understand 360-degree mediums (offline & online) and their impact on client businesses, including media buying, planning, brand investments, and tool utilization. Exhibit maturity and stature required to manage an existing team and clients effectively. Prioritize client and people management and servicing. Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and were just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when were together, fostering creativity, collaboration, and connection. Thats why weve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please read our Privacy Notice ( https: / / www.wppmedia.com / pages / privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted. ",

We Advantum Health Pvt. Ltd - US Healthcare MNC looking for Data Scientist. We Advantum Health Private Limited is a leading RCM and Medical Coding company, operating since 2013. Our Head Office is located in Hyderabad, with branch operations in Chennai and Noida. We are proud to be a Great Place to Work certified organization and a recipient of the Telangana Best Employer Award. Our office spans 35,000 sq. ft. in Cyber Gateway, Hitech City, Hyderabad Job Title: Data Scientist Location: Hitech City, Hyderabad, India Work from office Ph: 9177078628, 7382307530, 9059683624 Address: Advantum Health Private Limited, Cyber gateway, Block C, 4th floor Hitech City, Hyderabad. Location: https://www.google.com/maps/place/Advantum+Health+India/@17.4469674,78.3747158,289m/data=!3m2!1e3!5s0x3bcb93e01f1bbe71:0x694a7f60f2062a1!4m6!3m5!1s0x3bcb930059ea66d1:0x5f2dcd85862cf8be!8m2!3d17.4467126!4d78.3767566!16s%2Fg%2F11whflplxg?entry=ttu&g_ep=EgoyMDI1MDMxNi4wIKXMDSoASAFQAw%3D%3D Job Summary: We are seeking a highly skilled and motivated Data Scientist to analyze complex datasets, build predictive models, and generate actionable insights that support data-driven decision-making. The ideal candidate will collaborate with cross-functional teams to solve business challenges using statistical analysis, machine learning, and advanced analytics. Key Responsibilities: Collect, process, and analyze large datasets from multiple sources to uncover trends and patterns. Develop and implement predictive models and machine learning algorithms to solve business problems. Communicate insights and recommendations to stakeholders through reports, visualizations, and presentations. Collaborate with product, technology, and business teams to integrate data-driven solutions into operations. Continuously improve models and processes based on new data, business requirements, and feedback. Conduct A/B testing and experimental design to validate hypotheses. Stay updated with the latest developments in data science, AI, and analytics tools. Required Skills and Qualifications: Bachelor's or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Should have 3 plus years of relevant experience Proven experience as a Data Scientist or in a similar analytical role. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of statistical analysis, data mining, and predictive modeling techniques. Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Excellent problem-solving and communication skills. Ability to work with large, complex datasets and translate findings into actionable business insights. Follow us on LinkedIn, Facebook, Instagram, Youtube and Threads for all updates: Advantum Health Linkedin Page: https://www.linkedin.com/showcase/advantum-health-india/ Advantum Health Facebook Page: https://www.facebook.com/profile.php?id=61564435551477 Advantum Health Instagram Page: https://www.instagram.com/reel/DCXISlIO2os/?igsh=dHd3czVtc3Fyb2hk Advantum Health India Youtube link: https://youtube.com/@advantumhealthindia-rcmandcodi?si=265M1T2IF0gF-oF1 Advantum Health Threads link: https://www.threads.net/@advantum.health.india HR Dept, Advantum Health Pvt Ltd Cybergateway, Block C, Hitech City, Hyderabad Ph: 9177078628, 7382307530, 9059683624

The candidate needs to support the Planning /SPCPS & MF Business Manager as a Functional / Data expert using Kinaxis Rapid Response and Java based application . Grade SG05/SG06. Technical Qualifications: Solid understanding of S&OP, S&OE, Demand Planning, Inventory Management and Logistics Fair understanding of business data, planning parameters, and business logic used in the demand planning, allocation and capacity process. Technology proficiency and understanding of emerging/leading technologies related to supply chain. Hands on experience in ERP and other material management systems. Having knowledge of SPCPS Kinaxis and Rapid response MP&L Experience. Project management skills. Good communication and analytical/Problem skills. Experience in Process Re-engineering/Analytics and Data mining. Experience in benchmarking and process documentation Willingness to work across time zones Other Qualifications: Bachelor s degree in Engg / Supply Chain Management/Related Fields 5-10 years of relevant experience Lead all Planning activities in SPCPS & MF. Publish relevant KPI s (leading/lagging indicators) which measure the health of the Planning process (Vehicle as well as Service support) Work with regional MP&L & Sales planning team to help author mix authoring in SPCPS Kinaxis Provide creative solutions to complex business problems while maintaining best practices. Drive and co-ordinate Inbound integration / data load activities from various applications. Regional / Global / Governance / Approval meetings. Check and verify data robustness to support seamless mix authoring at feature level in Kinaxis based applications. Interact with technical, data & IT team members to diagnose and resolve incidents in Kinaxis. Interact with business / IT to document, follow and implement functional enhancements. Coordinate with the PDO / Codification / IT teams to pull new definitions into application. Drive deployment plan and implementation dates. Bring issues which require escalation/help to the leadership team for support. Create workbooks, worksheets, alerts, schedule task, scorecards, automation chain and dashboards in Rapid response. Work closely with Kinaxis Solution Architect to develop a business process design that leverages RapidResponse capabilities, Providing high levels of customer service. Support/Ensure alignment and adequate delivery of all GDIA dashboard initiatives. Interface with other Ford departments (within MP&L, IT, GDIA, GOTD, FCSD, Sales and Marketing, Finance, PD, Plants etc. )

The candidate needs to support the Planning /SPCPS & MF Business Manager as a Functional / Data expert using Kinaxis Rapid Response and Java based application . Grade SG05/SG06. Technical Qualifications: Solid understanding of S&OP, S&OE, Demand Planning, Inventory Management and Logistics Fair understanding of business data, planning parameters, and business logic used in the demand planning, allocation and capacity process. Technology proficiency and understanding of emerging/leading technologies related to supply chain. Hands on experience in ERP and other material management systems. Having knowledge of SPCPS Kinaxis and Rapid response MP&L Experience. Project management skills. Good communication and analytical/Problem skills. Experience in Process Re-engineering/Analytics and Data mining. Experience in benchmarking and process documentation Willingness to work across time zones Other Qualifications: Bachelor s degree in Engg / Supply Chain Management/Related Fields 5-10 years of relevant experience Lead all Planning activities in SPCPS & MF. Publish relevant KPI s (leading/lagging indicators) which measure the health of the Planning process (Vehicle as well as Service support) Work with regional MP&L & Sales planning team to help author mix authoring in SPCPS Kinaxis Provide creative solutions to complex business problems while maintaining best practices. Drive and co-ordinate Inbound integration / data load activities from various applications. Regional / Global / Governance / Approval meetings. Check and verify data robustness to support seamless mix authoring at feature level in Kinaxis based applications. Interact with technical, data & IT team members to diagnose and resolve incidents in Kinaxis. Interact with business / IT to document, follow and implement functional enhancements. Coordinate with the PDO / Codification / IT teams to pull new definitions into application. Drive deployment plan and implementation dates. Bring issues which require escalation/help to the leadership team for support. Create workbooks, worksheets, alerts, schedule task, scorecards, automation chain and dashboards in Rapid response. Work closely with Kinaxis Solution Architect to develop a business process design that leverages RapidResponse capabilities, Providing high levels of customer service. Support/Ensure alignment and adequate delivery of all GDIA dashboard initiatives. Interface with other Ford departments (within MP&L, IT, GDIA, GOTD, FCSD, Sales and Marketing, Finance, PD, Plants etc.)

Job Title: Recruiter About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/ . Role Overview: Every day our recruiters impact Skyhigh Security s capabilities by identifying, attracting, and hiring great people who contribute to the success of our company. You will support full life cycle recruitment for the APJ region. You will have the opportunity to work with the business to establish appropriate talent pipelines and recruitment project plans to meet the needs of the business. Along with this, you will develop recruitment campaigns and strategies to attract candidates from across their region. About the Role Engage regional executives and business unit leaders to develop and execute a comprehensive recruitment plan that targets and delivers quality talent on-time. Develop and execute a targeted sourcing plan that improves talent quality and leads to efficiency. Own full-cycle recruiting efforts for executive and key positions across multiple functions and geographies including engineering and sales. Execute recruitment efforts that achieve predictable metrics for time-to-accept (TTA), time-to-fill (TTF), pipeline and acceptance ratios. Lead a disciplined screening and selection process with hiring teams and Sourcers that improves the internal talent community. Develop and enhance relationships with executives, business unit leaders and hiring managers as the main point of contact for all talent acquisition needs, advice and guidance in the region. This includes best practices, data management, reporting, and talent-market forecasting while working closely with our HR COEs and HR Business Partners. Collaborate in the design and development of corporate recruiting programs and projects such as internship, apprentice and mentor programs and targeted recruitment campaigns. Coach hiring managers in the areas of candidate sourcing, professional networking, interview and selection techniques, candidate evaluation, and candidate close. You will set the standard in diversity and inclusion recruiting efforts by mapping talent markets and sharing this knowledge with your hiring teams. Deliver market data back to Skyhigh Security talent acquisition to create a strategic advantage in the talent marketplace. About You This position requires an accomplished recruiter who has a sense of urgency , thrives in a fast-paced, growth and learning environment, and has the desire and track-record of influencing business leaders. Additionally, the ideal candidate will have: 3 5 years overall recruitment experience with a minimum of 2-3 years full-cycle recruiting in a corporate environment, and preferably 1+ years working in a contingency or retained search firm environment. Requires deep technology experience within India and APJ regions. Growth company experience. Ability to coach hiring managers in the areas of talent availability and recruiting and sourcing strategies. Deep experience in full life-cycle recruitment for engineering, sales and/or support positions including senior leadership roles across multiple geographies. Knowledge of targeted sourcing strategies, expertise in data mining and tools such as LinkedIn and Naukri. Expertise in behavioral interview methodologies (Topgrading), competency models (Korn Ferry) and profile approaches (ICCE). Metrics driven approach to full life cycle recruitment. A quick learner and desire to grow professionally. Experience with Workday or other enterprise-class ATS s and Google tools. Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each others unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement Were serious ab out our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Global Catalog Operations is seeking a highly skilled and experienced Business Analyst to lead its Business Analytics team. The successful candidate will be responsible for leading complex data analysis projects, developing and implementing process improvements, and communicating findings and recommendations to senior management through data visualizations and reports. In this role, you will have the opportunity to make a significant impact on the efficiency and performance of our operations. You will work closely with a talented and dynamic team to identify opportunities for improvement and optimize business processes through data-driven insights. Manage a team of business analysts to deliver to data analysis requests and generate insights for operations team and engineering partners Partner with technology leaders, program managers, operations leaders and internal stakeholders globally to identify, quantify and solve for opportunities to improve Catalog Quality. Learn and understand a broad range of Amazon s data resources and use them Helping operations with regular and ad hoc query/ data ETL jobs and work on simplifying/ standardizing operational metrics and reporting Enable operations team in effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format. Drive insights and action we can take to improve the customer experience Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities Perform statistical tests to establish trends, patterns, seasonality. Use data mining, model building, and other analytical techniques to develop predictive models Establish relationship between output metrics and drivers to identify and control critical drivers to achieve the desired value of output metric. Write functional specs for tools and drive UAT based on business requirements Bachelors degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field 5+ yrs of experience in a business analyst/data analyst/statistical analyst role 2+ leading a team of Business Analysts Highly skilled at querying relational databases, ability to pull from various sources and having done so in a business environment Experience in data visualization platforms Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills Communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams Masters degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.)

Not Applicable Specialism SAP Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s 1. Should have worked on Product Research, Product Development and Product Delivery. 2. Should have used one Analytics tool 3. Should have knowledge in Product Analytics PowerBI, SQL Mandatory skill sets Product Research Preferred skill sets Product Research Years of experience required 4 8 Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Bachelor Degree, Master Degree Degrees/Field of Study preferred Required Skills Product Management Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s 1. Should have worked on Product Research, Product Development and Product Delivery. 2. Should have used one Analytics tool 3. Should have knowledge in Product Analytics PowerBI, SQL Mandatory skill sets Product Research Preferred skill sets Product Research Years of experience required 4 8 Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master Degree, Bachelor Degree Degrees/Field of Study preferred Required Skills Product Management Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Government Clearance Required?

Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment. We are looking for Applied Scientists to tackle challenging problems in the areas of information Extraction, Efficient crawling at internet scale. You should have depth and breadth of knowledge in text mining, information extraction from Visually Rich Documents, semi structured data (HTML) and machine learning. You should also have programming and design skills to manipulate Semi-Structured and unstructured data and systems that work at internet scale. You will encounter many challenges, including: Scale (build models to handle billions of pages), Accuracy (requirements for precision and recall) Speed (generate predictions for millions of new or changed pages with low latency) Diversity (models need to work across different languages, market places and data sources) You will help us to Build a scalable system which can algorithmically extract information information from world wide web Intelligently cluster web pages, segment and classify regions , extract relevant information and structure the data available on semi-structured web pages Build systems that will use existing Knowledge Base to perform open information extraction at scale from visually rich documents. Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems Efficiently Crawl web, Automate extraction of relevant information from large amounts of Visually Rich Documents and optimize key processes Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real-time model implementations Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance Leading projects and mentoring other scientists, engineers in the use of ML techniques 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development Experience in patents or publications at top-tier peer-reviewed conferences or journals Masters degree or above in computer science, computer engineering, or related field

We are looking for high-potential, flexible, innovative, and forward-thinking professionals to join Amazon who is ready to drive high-visibility, strategic, revenue-generating programs as well as leverage Lean methodologies to lead process improvement initiatives Candidate with a strong record of owning and executing strategic, cross-functional projects as well as partnering with other teams to drive key process improvement programs. This role requires working with business teams across the company to define requirements and high-level process/system solutions, leading cross-functional teams and managing the timelines to support organization wide project launches. Work experience is preferred (1 3 years) Exposure to data mining tools like SQL, datnet etc Has managed critical operational processes, with end-to-end business responsibility Experience in direct-to-customer fulfillment operations, similar hands-on experience Strong process definition and optimization skills; proven ability to define effective, efficient, and scalable processes and drive continuous improvement through root cause identification and defect elimination Experience in a highly analytical, results-oriented environment with cross functional interactions Strong analytical, mediation and problem resolution skills Must be metrics-driven Have a background in quantitative decision making, ability to drive business/operations metrics, and driving adoption of different tools and resources Excellent written and oral communication skills Skilled in collaborative management environment, succeeding through regular meetings and clear formal and informal communication with members of various teams A day in the life An innovative document manager with superior analytical abilities and preferred experience in Lean Manufacturing methodologies Has knowledge and experience in fulfillment operations as well as excellent technical, problem-solving, and communication skills Finds practical and simple solutions to complex problems without sacrificing quality or core functionality Provide day-to-day support during the rollout/implementation of newer systems/processes and gather feedback Map business requirements, understand business process, study and analyze workflows, design solutions and prepare functional specifications Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules About the team About the team Rest of World Inbound (ROW IB) team is a vertical of ROW APEX, India Operations. Our team objective is to provide the hassle free and smooth inbounding experience to all sellers and vendors across amazon fulfillment centres. The team is responsible to plan the freight delivery across fulfillment centres and perform rescue operations, and contingency management. Experience with Excel Experience with SQL Bachelors degree in a quantitative/technical field such as computer science, engineering, statistics Excel

Amazon seeks a FinOps Specialist to join the AWS Finance Automation Reporting Management team (AFARM) based out of Hyderabad, India. A key responsibility for this role will be working with server and networking rack manufacturers on monthly and daily global costing tasks. This involves detailed analysis, working closely with rack manufacturers, coordinating with internal teams, creating and maintaining key metrics and reports, and supporting processes for various AWS Finance teams. 1. Managing daily requests and monthly activities of the rack costing process within defined timelines. 2. Identifying costing errors/defects and resolving them timely. 3. Responding to internal and external stakeholder queries related to rack costing. 4. Actioning and resolving day-to-day complex trouble tickets within 24 hours. 5. Proactively identifying areas for process improvement and automation, including issue identification, solution definition, and documentation. 6. Provide data-driven analytics and support to business partners in identifying and resolving issues 7. Partner with stakeholders to drive critical projects and technology integration for your process areas 8. Drive a rigorous and proactive cadence of communications, keeping stakeholders informed on current statuses and engaged in key decisions. 9. Contribute towards preparation of monthly and quarterly business reviews on the program s performance. 10. Collaborate with cross-functional Finance and our technology development teams to create new business and reporting tools 3+ years of tax, finance or a related analytical field experience 4+ years of Accounts Receivable or Account Payable experience 4+ years of applying key financial performance indicators (KPIs) to analyses experience 4+ years of creating process improvements with automation and analysis experience 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience Bachelors degree in engineering, statistics or business, or Bachelors degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Six Sigma Black Belt Experience with advanced use of SQL for data mining and business intelligence Experience as a lean sensei, or experience working as a Quality Assurance Engineer 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience MBA, or CPA Knowledge of Tableau Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We re trying to optimize shopping experience for Amazon s Customers in the Physical retail space. This role will be a key member of the core Analytics team located in Hyderabad. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must. Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. Develop metrics that helps support product category growth and expansion plans Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience in Statistical Analysis packages such as R, SAS and Matlab Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6--8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications

Key Responsibilities: Gather reporting requirements and analyze data to provide recurring reports. Perform quality assurance and test conclusions to ensure the validity of the analysis. Select appropriate analysis methods for given issues to provide the most accurate analysis. Deliver recurring reports and/or analyses to stakeholders on time. Extract data from operational systems and reporting databases to understand or make conclusions for decision-making purposes. Use globally standardized dashboards and best reporting practices to support BI needs. Collaborate with Business Intelligence Analyst - Senior and Business Intelligence Leader to understand end-user needs. Ensure effective communication with key stakeholders on analysis and reporting. Demonstrate Cummins Leadership Behaviors consistently. External Qualifications and Competencies Experience: Minimum 4 years of experience in Data Analytics. Competencies: Communicates Effectively :Develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences. Nimble Learning :Actively learn through experimentation when tackling new problems, using both successes and failures as learning fodder. Self-Development :Actively seek new ways to grow and be challenged using both formal and informal development channels. Tech Savvy :Anticipate and adopt innovations in business-building digital and technology applications. Data Analytics :Discover, interpret, and communicate qualitative and quantitative data; determine conclusions relying on business or functional frameworks; apply statistics, data validity, data visualization, and problem-solving approaches to extract meaningful patterns and business insights; present conclusions and outcomes that enable data-driven business decisions. Data Quality :Identify, understand, and correct flaws in data to support effective information governance across operational business processes and decision-making. Values Differences :Recognize the value that different perspectives and cultures bring to an organization. Action Oriented :Take on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Data Mining :Extract insights from data by identifying relationships and patterns through data exploration and visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building. Additional Responsibilities Unique to this Position Qualifications: College, university, or equivalent bachelors degree in Data Sciences, Economics, Computer Science, Statistics, or a relevant field with a quantitative focus, or equivalent experience. This position may require licensing for compliance with export controls or sanctions regulations. Skills and Experience: Proficiency in SQL and Power BI (Power Query, DAX); Advanced Excel (VBA/Macros) skills required. Experience with Python, Power Apps, Power Automate, ETL processes, and data modeling. Preferably experience in sales or sales support roles. Ability to work with big data and apply statistical concepts. Experience analyzing data and developing clear and accurate conclusions. Experience supporting global stakeholders individually.

Key Responsibilities: Build strong relationships with all critical partners to improve quality and business outcomes, including external suppliers, external customers, and internal customers and stakeholders such as Purchasing, Manufacturing, and Engineering. Support the cross-functional supplier selection process for any given component. Collaborate with external suppliers to validate that the manufacturing process is designed to conform to engineering prints, standards, and customer-specific requirements. Apply industry-standard Advanced Product Quality Planning (APQP) processes, Automotive Industry Action Group (AIAG) tools, and Cummins specialty tools to develop zero-defect components within the external supply base. Embrace continuous improvement in the external supply base by contributing to product and process-focused projects utilizing methodologies such as lean and six-sigma. Conduct external supplier audits to support supplier risk mitigation, readiness, and performance improvement. Support quality improvement plans within the external supply base to enhance supplier performance. Ensure resolution of external supplier-related quality challenges by leading root cause analysis, supporting the development of corrective actions, and verifying the effectiveness of corrective actions. Core Responsibilities: Engage in technical discussions with suppliers and engineering during the start of part development projects. Oversee source release, PPAP, and APQP approval for parts at the supplier end. Guide suppliers on process failsafe, provide training on required topics, and ensure proper documentation. Obtain CAPA from suppliers on issues reported by the plant. Interact with plant quality teams (both domestic and global). External Qualifications and Competencies Education, Licenses, Certifications: College, university, or equivalent degree in Engineering or a related technical or scientific subject required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Communicates Effectively: Develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer Focus: Build strong customer relationships and deliver customer-centric solutions. Auditing: Apply auditing skills and techniques and Quality Management Systems knowledge to effectively appraise a manufacturing process for quality and safety risks and non-conformances. Interpreting Technical Requirements: Apply knowledge of Geometric Dimensioning and Tolerancing principles and Engineering Standards to correctly interpret technical requirements and improve product design for manufacturability and measurability. Manufacturing Process Design: Apply knowledge of manufacturing technology to design a zero-defect manufacturing process that consistently meets technical and customer requirements. Manufacturing Process Validation: Use core automotive tools (DFMEA, PFMEA, Control Plan, SPC, MSA, Source Release, and PPAP) to validate that a manufacturing process can consistently meet technical and customer requirements. Measurement Process Design: Design a measurement system that consistently meets industry and customer requirements using knowledge of Geometric Dimensioning and Tolerancing principles and measurement technology. Problem Solving: Solve problems using a systematic analysis process, leveraging industry-standard methodologies to create problem traceability and protect the customer. Quality Influence: Recognize stakeholders, create forums to extract stakeholder perspectives, engage in constructive conflict, and influence outcomes to ensure balanced decisions inclusive of quality priorities. Quality Standards: Apply knowledge of quality standards (ISO9001:2015, IATF16949) to develop procedures, processes, and external suppliers in alignment with regulatory requirements. Statistical Foundations: Apply statistical tools and techniques to influence decision-making, leveraging data collection methods, key statistics, and analytical methods to describe process performance and drive improvement actions. Supplier Performance Improvement: Develop and execute effective quality improvement strategies to enhance supplier performance. Supplier Quality Project Planning and Execution: Apply APQP skills to develop and execute quality plans that enable external suppliers to meet customer expectations. Values Differences: Recognize the value that different perspectives and cultures bring to an organization. Supplier Product Reliability: Evaluate supplier product design, manufacturing process design, and product validation process to ensure reliability expectations are met. Additional Responsibilities Unique to this Position Skills Required: Strong analytical skills for data mining and driving improvements. Hands-on experience with APQP, PPAP, and source release processes. Proficiency in handling inspection equipment, quality tools, and systematic problem-solving methods. Excellent communication skills in English. Experience: Preferred experience in supplier quality: 8 to 10 years.

Key Responsibilities: Facilitate data, compliance, and environment governance processes for the assigned domain. Lead analytics projects to produce insights for the business to improve decision making, delivering results using reports, business intelligence technology, or other appropriate mechanisms. Integrate data analysis findings into governance solutions. Ingest key data for assigned domain into the data lake, ensuring creation and maintenance of relevant metadata and data profiles. Coach team members, business teams, and stakeholders to find necessary and relevant data when needed. Contribute to relevant communities of practice promoting the responsible use of analytics. Develop the capability of peers and team members to operate within the Analytics Ecosystem. Mentor and review work of less experienced peers and team members, providing guidance on problem resolution. Integrate data from warehouse, data lake, and other source systems to build models for use by the business. Cleanse data to ensure accuracy and reduce redundancy. Lead preparation of communications to leaders and stakeholders. Design and implement data/statistical models. Collaborate with stakeholders to drive analytics initiatives. Automate complex workflows and processes using Power Automate and Power Apps. Manage version control and collaboration using GITLAB. Utilize SharePoint for extensive project management and data collaboration. Regularly update work progress via JIRA/Meets (also to stakeholders). External Qualifications and Competencies Qualifications: College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Balances stakeholders: Anticipating and balancing the needs of multiple stakeholders. Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Communicates effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. Customer focus: Building strong customer relationships and delivering customer-centric solutions. Manages ambiguity: Operating effectively, even when things are not certain or the way forward is not clear. Organizational savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics. Data Analytics: Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions relying on knowledge of business or functional frameworks; simultaneously applying statistics, data validity, data visualization, and problem-solving approaches to effectively extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions. Data Mining: Extracting insights from data by identifying relationships and patterns through use of a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building. Data Modeling: Creating, writing, and testing data models, test scripts, and build scripts using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance, and compliance requirements. Data Communication and Visualization: Constructing a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards. Data Literacy: Expressing data in context, including data sources and constructs, analytical methods, and applied techniques; describing the use-case application and resulting value. Data Profiling: Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishing good, quality data. Data Quality: Identifying, understanding, and correcting flaws in data that supports effective information governance across operational business processes and decision making. Project Management: Establishing and maintaining the balance of scope, schedule, and resources for a temporary effort (a project). Ensuring results/impact from temporary effort are fully realized as possible. Values differences: Recognizing the value that different perspectives and cultures bring to an organization. Additional Responsibilities Unique to this Position Technical Skills: Advanced Python Databricks, Pyspark Advanced SQL, ETL tools Power Automate Power Apps SharePoint GITLAB Power BI Jira Mendix Statistics Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Proven ability to lead a team. Strategic thinking Advanced project management Experience: Intermediate level of relevant work experience required. Please note that this is a Hybrid role

RPMG: Skip Tracing Unit INTERNAL USAGE No. of Vacancies Reports to Strategy Is a Team leader N Team Size Grade DM/M Business Retail Banking Department Retail Portfolio Management Group Sub - Department Strategy Location PAN India About Retail Portfolio Management Group The Retail Portfolio Management Group department focuses on the lending business of the bank by offering various loan products like Home Loans, Car Loans, and Personal Loans among others. They also offer working capital loans and Business loans for Small Businesses and is also responsible for the Rural lending business of the bank About the Role The role of the Skip Tracing unit is expected to connect with customers with support of the data mining through various channels Key Responsibilities Skip tracing is captive unit, this is inhouse. Since larger part is digital. Unit si expected to trace the customers who are contactable by means of harnessing data available within the bank eco system and also through partnering The role requires not only tracing of customer butb also validatiung the customer contact details The unit is expected to process all referrals of skip tracing from various channels i. e: call centre, employee, agency & team lease Validating and updating the contact details of the customer The KRAs of the unit will be assessed basis trace rate, correctness of tracing & finally collection from the skipped customers Cost benefit will be important aspect as this is a P&L unit Qualifications Graduation/ Post-Graduation from a recognized institute Min 3 years of relevant experience in NBFC/ Banking industry Role Proficiencies Knowledge and understanding of collections and market dynamics. Excellent vendor management skills. Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language. Ability to manage complex client situations. Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment. Ability to handle pressure and meet deadlines

AWS Data Engineer Educational Qualifications: 3+ years relevant experience Expert level skills writing and optimizing complex SQL Knowledge of data warehousing concepts Experience in data mining, profiling, and analysis Experience with complex data modelling, ETL design, and using large databases in a business environment Proficiency with Linux command line and systems administration Experience with languages like Python/Java/Scala Experience with Big Data technologies such as Hive/Spark Proven ability to develop unconventional solutions, sees opportunities to innovate and leads the way Good experience of working in cloud platforms like AWS Having worked on projects involving creation of data lake or data warehouse Excellent verbal and written communication. Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms Ability to effectively communicate with multiple teams Ability to work with shifting deadlines in a fast-paced environment.

Description Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a Lead Business Analyst, Insights in our Analytics Centre of Excellence who works in the Hotels team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to our product teams and business leaders, operations team through providing insights, recommendations, and enabling data driven decisions. This role is a part of the Hotels team, which includes HotelTonight. We are a fun, entrepreneurial team where you can have an outsized impact. Simplicity is at the core of our products. We pride ourselves on delivering the smoothest and most intuitive hotel booking experience for guests. HotelTonight, an Airbnb company, provides guests great hotels at amazing prices by helping hotel partners sell unsold inventory. The Difference You Will Make: Business Analyst will help set up a team at Airbnb with a focus on building a functional vision and championing the use of data in making key business decisions. A Typical Day: Build and update dashboards in Tableau and Looker to drive actionable insights and self-service for stakeholders. Acts as a consolidation point for all Supply related data analysis needs and data integrity issues. Investigates data quality issues reported by business and finds solutions/fixes Collaborates with data engineering and data science to investigate such data issues Interfaces with data engineering to drive prioritization and accountability of data needs. Build a case for necessary resources within data engineering to support Supply data needs. Ensures data quality and data integrity to manage Supply data assets to be analysis ready. Automate routine reporting to dashboards with advanced filtering and deep dive capabilities. Establish standards for metadata/ taxonomy, metrics, query, reports and scorecards. Creates specifications and generates reports and analysis mapping to business needs. Provide consultation and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using databases and reporting tools. Push for continuous improvement when it comes to best in class data visualization. Ad-hoc reporting and analysis to support key Supply initiatives. Provide actionable data-driven recommendations to stakeholders’ business questions Stakeholder management: Develop measurement strategies and reporting of key business metrics for multiple audiences including senior leadership Collaborate with leaders and managers to determine and address data and reporting needs for various company projects Enable the function as an analytics consultant: Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes Prepare reports/dashboards/build actionable insights: Create, maintain, and communicate detailed reporting models to assist regional and global operations, managers Independently work on deep insightful analysis and advanced analytics Provide solutions to business problems through quick ad-hocs analysis with deep insights Provide robust analytical solutions through advanced/statistical analysis Your Expertise: A minimum of 8 years of overall experience. Graduate in Economics, Business, Engineering, or other quantitative focus. Expertise with Tableau with minimum 2 years experience in building enterprise level dashboards. Excellent SQL skills and expertise in Microsoft Excel and various business intelligence and analytical tools and comfortable using Git and Python Expert with using Google Suite i.e. Google Sheets, Google Slides. Passion for Data Visualization and driving user adoption of dashboards. Exposure/ expertise in Snowflake database and LookML Design and build data pipelines to automate flow of data from various sources to power dashboards and critical analyses Impeccable attention and commitment to creating clean reproducible code. Strong analytical capabilities & logic driven mindset. Understanding of data gathering, inspecting, cleansing, transforming, and modeling / diagramming techniques. Experience with data mining and cleaning, exploratory analysis, visualizations and metrics creation Rich experience in insightful data analytics and good knowledge of statistical analytics like random forest regression / variable importance determination Excellent time management skills and ability to prioritize work. Flexibility to adapt to changing requirements to meet stakeholder needs. Our Commitment To Inclusion & Belonging : Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. Hybrid Work Requirements & Expectations: To support productivity and maintain a professional hybrid work environment, employees are expected to adhere to the following: Workspace : A dedicated, quiet, and private workspace free from interruptions and external noise Internet Connectivity : During the working hours, maintain a minimum and consistent internet speed of 10 Mbps on your official devices to ensure reliability for work-related tasks, including calls and virtual meetings Professionalism: Employees must remain fully engaged, respectful, and maintain a professional presence during virtual meetings, with video participation required unless otherwise approved. Confidentiality & Security: Employees are responsible for protecting Airbnb’s Intellectual Property and Confidential Information. Work-related activities, including calls and meetings, must not be conducted in public places, while traveling, or in any setting that may compromise confidentiality or work quality.

Summary We are seeking a highly skilled and motivated Data Analyst to join our growing data analytics team In this role you will focus on analyzing our ecommerce clickstream and user behavior data to provide actionable insights that drive business growth and inform our product roadmap You will leverage your expertise in tools like Adobe Analytics GCP BigQuery SQL and Python to extract analyze and visualize complex data sets Working closely with our Senior Data AnalystArchitect you will contribute to the strategic direction of our product development efforts Responsibilities Ecommerce Clickstream Analysis Analyze rich ecommerce clickstream data using Adobe Analytics to understand user journeys identify dropoff points and uncover opportunities for website optimization and improved user experience User Behavior Analysis Investigate user behavior patterns segmentation and preferences to gain deep insights into customer interactions with our ecommerce platform Data Extraction and Manipulation Utilize SQL and Python to query extract clean and transform large datasets from our data warehouse GCP BigQuery Data Visualization and Reporting Create insightful dashboards reports and presentations using data visualization tools to effectively communicate findings and recommendations to stakeholders across different teams Collaborate on Product Roadmap Work closely with the Senior Data AnalystArchitect to translate datadriven insights into actionable recommendations that contribute to the development and prioritization of the product roadmap Identify Key Metrics and KPIs Define and track key performance indicators KPIs to measure the success of product features and website changes based on data analysis Conduct AB Testing Analysis Support and analyze the results of AB testing experiments to optimize user engagement and conversion rates Partner with CrossFunctional Teams Collaborate with product managers marketing teams and engineering teams to understand their data needs and provide them with relevant and timely insights Ensure Data Quality and Integrity Maintain data accuracy and consistency by implementing data quality checks and collaborating with data engineering teams to resolve any data discrepancies Stay Updated on Industry Trends Continuously learn and stay uptodate with the latest trends and best practices in ecommerce analytics and data analysis techniques Qualifications Bachelors degree in a quantitative field such as Statistics Mathematics Computer Science Economics or a related area Proven experience 2 years as a Data Analyst preferably with a focus on ecommerce analytics Handson experience with Adobe Analytics for tracking and analyzing website traffic and user behavior Strong proficiency in SQL for querying and manipulating large datasets Solid programming skills in Python for data analysis manipulation and automation experience with libraries like Pandas NumPy Matplotlib Seaborn is preferred Experience working with cloudbased data warehouses preferably GCP BigQuery Experience with data visualization tools eg Tableau Looker Power BI to create compelling and informative dashboards and reports Strong analytical and problemsolving skills with the ability to interpret complex data and extract actionable insights Excellent communication and presentation skills with the ability to clearly convey technical findings to nontechnical audiences Ability to work independently and collaboratively in a fastpaced environment Skills Adobe Analytics GCP BigQuery SQL Python Pandas NumPy Matplotlib Seaborn Ecommerce Analytics User Behavior Analysis Clickstream Data Analysis Data Visualization Data Reporting AB Testing Analysis Product Roadmap Contribution Statistical Analysis Data Mining Communication Written Verbal ProblemSolving Teamwork

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Every career journey is personal. Thats why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary As a Specialist, Data Management, you will play a critical role in supporting the organizations data management initiatives across one or more aspects of the data lifecycle, ensuring alignment with policies, standards, and data risk controls. Your experience in data classification, metadata management, data quality, data retention and/or data sharing will help strengthen the policy-based frameworks and improve enterprise data usability. You will contribute to the development and implementation of best practices for mastering data domains, regulatory compliance, and data stewardship, collaborating with business and technology teams to drive operational excellence. This role is ideal for a data professional who is passionate about enabling trusted, well-managed data ecosystems and ensuring that data is properly governed, classified, and securely managed. Essential Job Functions Partner with data communities and collaborate cross-functionally with Data Governance, IT and other functions to ensure integration of data quality/management processes. Collaborate with cross-functional teams to address data-related issues and provide innovative solutions. Network with senior internal and external personnel in own area of expertise. - (30%) Work with minimum instruction on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Identify, design, develop and implement data centric solutions driven in alignment to the goals of the Data & Analytics department. - (25%) Demonstrate good judgment in selecting methods and techniques for obtaining solutions. Create and maintain documentation, define and/or implement procedures, ensure compliance with policies and standards and report on established metrics and KPIs. Analyze and interpret data sets to support decision-making processes. Maintain and update data management systems and tools. - (25%) Provide insight in the implementation of data lifecycle management strategies and policies ensure data integrity, security, and accessibility throughout the data lifecycle. Establish evidence from industry research of best practices to expand the policies, standards and procedures. - (10%) Provide leadership in specialization in defined data discipline that is support through clear communication, decision making, conflict resolution and inspiring others to achieve their best. - (10%) Minimum Qualifications Bachelor s Degree in Computer Science, Engineering, or Information Systems; or equivalent work experience. 8+ years of experience working in Data Management roles or Master Data Governance. 4+ years of experience developing complex queries using SQL or any other coding languages. 5+ years of experience using Agile methodologies. Preferred Qualifications 8+ years of experience in MDM, Record Management, and/or Data Protection. 5+ years of experience in Data Lifecycle Management Practices. 5+ years of experience in Financial Services industry. Skills Data Management Software Master Data Management (MDM) Data Mapping Microsoft Tools Data Discovery SQL Coding Business Process Development Business Data Analysis Value Stream Mapping (VSM) Agile Methodology Metadata Analysis Data Mining Tools Reports To : Manager and above Direct Reports : 0 Work Environment Hybrid work environment requiring in office per company policy, can change as per the company policy. Work timings - 1PM IST to 10 PM IST Other Duties This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time. About Bread Financial At Bread Financial, you ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We ve been consistently recognized as a best place to work nationally and in many markets and we re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers. To learn more about Bread Financial, our global associates and our sustainability commitments, visit breadfinancial.com or follow us on Instagram and LinkedIn . All job offers are contingent upon successful completion of credit and background checks. Bread Financial is an Equal Opportunity Employer. Job Family: Data and Analytics Job Type: Regular

This position will oversee the Credit & Collections function of APJ TD SYNNEX s Center of Excellence (CoE) location. This role requires setting up a full-fledged centralized Credit & Collections team to support our businesses across APJ countries. You will lead credit management and analysis, the cash collections process, and ensure teams deliver timely reporting in accordance with corporate guidance and timelines. This position shall report to Regional Credit VP and work closely with Finance leaders and team members in the APJ region. Responsibilities: Support establishment of the APJ Center of Excellence Set up CoE governance, structure, resourcing, tools and cadence. Clear roadblocks, mitigate risks, and support the APJ region in the centralization of Credit & Collections activities. Build Credit & Collections team within the CoE and support the transition. Support the hiring of skilled and technically inclined Credit & Collections personnel and build capabilities within CoE. Design and implement the centralized processes based on the current business unit structure and requirements. Play a key role in change management to increase adoption and efficiency of CoE. Provide direct support and coaching to in-country teams as they help Credit & Collections members through transitions. Setup supporting tools and systems Design and implementation of Credit & Collections-related tools to improve efficiency of CoE Support relevant tool investment requests prepared by the team, ensure alignment with business needs, and manage the approval process. Manage Credit & Collections activities within the CoE Plan for AOP/Forecast (Credit Cost & DSO) and measure department performance with appropriate metrics Manage relations with factoring and 3rd party financing companies, credit reporting and collections agencies, credit and other insurance providers, resellers and external vendors, as well as sales, marketing and other (internal) customers. Maintain the corporate credit policy and recommend changes to senior management. Create and maintain risk reduction programs such as rating-tools, as well cont. develops on fraud detection processes. Manage periodic customer credit files and Country portfolio risk reviews. Monitor the credit granting and updating process / review cycles. The CoE will support Regional Credit Managers in providing credit recommendations and investigating on the largest customer credit applications. Monitor deductions being taken by customers and organize on management reporting and customer meetings. Manage Finance Solutions Programs/Offerings, as well develop on other alternative financing options. Resolve escalations that arise and ensure smooth functioning of the CoE Identify and execute other transformation efforts relating to Credit & Collections Lead and manage the Credit & Collections team within CoE Build the team s capability and ensure alignment of resources and skills to meet business needs. Coach mentor and empower staff with the goal of skills development and retention. Actively manage the team s development goals. Alignment with key stakeholders and APJ Finance leadership; escalate risks when necessary. Knowledge, Skills and Experience: Master s / Postgraduate degree with business / finance field of study preferred. 10 years of relevant working experience in CREDIT & COLLECTIONS, ideally in IT multinational environment with 5-8 of experience directly managing colleagues Good analytical skills including but not limited to experience developing and shaping key business performance indicators. Experience in Planning and forecasting is an added advantage. Experience with data analytics tools such as Power BI, data mining, and building dashboards that drive decision making. Experience in managing and leading offshoring programs or centers within the APJ region Strong Customer Service orientation. Sensitive to business needs, drives efficiency and best practice. Proven ability to work independently and effectively in a matrix reporting organization. Ability to multitask, work under pressure to meet deadlines, and handle long hours during month-end and quarter-end closing periods. Willingness to acquire new skills / product knowledge. Is committed to delivering and exceeding expectations. Key Skills We are an equal opportunity employer and committed to building a diverse team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment based on merit, without regard to race, colour, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law. To support our diversity and inclusion efforts, we may ask for voluntary gender disclosure information. This data will be used solely to improve our hiring practices and ensure fair treatment for all candidates.

Job Description Designation Sales Executive Education MBA Location- SSR Corporate Park, NHPC Chowk, Faridabad Working Mode - Onsite Number of Working Days- 5 Company website - https://consultingprudence.com/ Contact - 9289304830 Role and Responsibilities *Generate leads through calling on queries and prospects. *Drive e-mail campaigns to generate interest among Target Audience. *Build customer data by collecting information from exhibitions and other events. *Developing relationships at CXO levels for co-ordination of demos. *Co-ordinating with Sales Team for demos and lead qualifications.