2907 Sas Jobs - Page 5

Job Title - Customer support Executive Process - SAS Refunds-100% Email process Location - Airoli Salary -upto 22k fixed Additional Perks - travel allowance 3500 cab facility Experience required - Minimum 6 months exp mandate in refunds Contact 845 499 5853 https://careerpage.co/lisa-manpower Job Skills Excellent communication and problem-solving skills Multi-tasking abilities Patience when handling tough cases Show more Show less

Step into a role of Assistant Manager - Fraud Analytics, where you’ll take responsibility for client service and operational execution task. You must take responsibility for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations. You must follow well defined procedures that may require a range of job routines and make judgement based on practice and previous experience. To thrive in this role, you’ll need some previous experience in: Bachelor’s degree or equivalent in quantitative field of study (master’s candidate is good to have). Candidate possessing data and analytical experience with problem solving skills. Ability to perform and handle multiple workstreams with deadline driven environment. Working knowledge of SAS, SQL, and Microsoft Excel. Relevant industry experience. Effective communication skills – fluent in English written and spoken. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Show more Show less

JOB_POSTING-3-71378-3 Job Description Role Title: Manager, Model Risk Management (L09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony’s Risk team is the place to be. Role Summary/Purpose The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. Key Responsibilities Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues. Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics. Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management Support in additional book of work or special projects as in when required. Required Skills/Knowledge Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models. Understanding of quantitative analysis methods or approaches in relation to credit risk models. Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data Desired Skills/Knowledge 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Ability to apply analytical skills to solve problems creatively. Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. Be self-motivated, act promptly and effectively when assigned tasks. Excellent written and oral communication and presentation skills. Eligibility Criteria Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, PIP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Credit Show more Show less

JOB_POSTING-3-71335-1 Job Description Role Title: AVP, Analytics - H&W Platform (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being We provide career advancement and upskilling opportunities for all to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose AVP, Analytics - H&W Platform (Individual Contributor) role is a part of India Analytics Hub (IAH). The primary purpose of this role is to support and grow Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams on key business priorities, deliver high visibility & high-impact projects and working in close collaboration with IAH and US Analytics teams. The candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business. Key Responsibilities Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics and insights Proactively discover, lead, and solve open-ended/ambiguous business problems through basic to advanced analytics/data science tools and techniques, as applicabl Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce execution time, as appropriate Lead the projects by ensuring adherence to timely delivery, accuracy, and documentation in line with audit procedures Contribute to internal initiatives, perform other duties and/or special projects, as assigned Demonstrate project management skills and ability to handle multiple initiatives Required Skills/Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 6+ years of hands-on relevant analytics/data science experience Minimum 4+ years of hands on SQL/ SAS programming experience & ability to leverage algorithms like Decision Tree, Regression and be efficient in handling complex/large data Must have experience with Business Intelligence and Reporting tools such as Tableau/Power BI Experience in campaign performance measurement, customer targeting framework and synergy of multiple functions & create / connect KPIs Proven ability to design and lead strategic projects and work independently, yet as key member and contributor to a broader team Be able to listen to the stakeholders, ideate/propose solutions, lead planning & execution, and deliver analytics projects Be able to effectively communicate (verbal, written & in presentation form) and lead analytics with senior stakeholders Experience in credit card or financial services industry Ability to effectively manage tasks and projects with competing priorities Desired Skills/Knowledge Superior thought leadership and framework based solutioning abilities Innovative mindset that looks to improve current capabilities and discover new ones Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of hands-on relevant work experience in lieu of specified degree Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role before applying Inform your manager or HRM before applying for the role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, skills) Mandatory to upload your updated resume (Word or PDF format) Must not be on any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L08 + Employees can apply Grade / Level : 10 Job Family Group Data Analytics Show more Show less

JOB_POSTING-3-71378-2 Job Description Role Title: Manager, Model Risk Management (L09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony’s Risk team is the place to be. Role Summary/Purpose The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. Key Responsibilities Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues. Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics. Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management Support in additional book of work or special projects as in when required. Required Skills/Knowledge Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models. Understanding of quantitative analysis methods or approaches in relation to credit risk models. Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data Desired Skills/Knowledge 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Ability to apply analytical skills to solve problems creatively. Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. Be self-motivated, act promptly and effectively when assigned tasks. Excellent written and oral communication and presentation skills. Eligibility Criteria Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, PIP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Credit Show more Show less

JOB_POSTING-3-71335 Job Description Role Title: AVP, Analytics - H&W Platform (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being We provide career advancement and upskilling opportunities for all to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose AVP, Analytics - H&W Platform (Individual Contributor) role is a part of India Analytics Hub (IAH). The primary purpose of this role is to support and grow Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams on key business priorities, deliver high visibility & high-impact projects and working in close collaboration with IAH and US Analytics teams. The candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business. Key Responsibilities Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics and insights Proactively discover, lead, and solve open-ended/ambiguous business problems through basic to advanced analytics/data science tools and techniques, as applicabl Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce execution time, as appropriate Lead the projects by ensuring adherence to timely delivery, accuracy, and documentation in line with audit procedures Contribute to internal initiatives, perform other duties and/or special projects, as assigned Demonstrate project management skills and ability to handle multiple initiatives Required Skills/Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 6+ years of hands-on relevant analytics/data science experience Minimum 4+ years of hands on SQL/ SAS programming experience & ability to leverage algorithms like Decision Tree, Regression and be efficient in handling complex/large data Must have experience with Business Intelligence and Reporting tools such as Tableau/Power BI Experience in campaign performance measurement, customer targeting framework and synergy of multiple functions & create / connect KPIs Proven ability to design and lead strategic projects and work independently, yet as key member and contributor to a broader team Be able to listen to the stakeholders, ideate/propose solutions, lead planning & execution, and deliver analytics projects Be able to effectively communicate (verbal, written & in presentation form) and lead analytics with senior stakeholders Experience in credit card or financial services industry Ability to effectively manage tasks and projects with competing priorities Desired Skills/Knowledge Superior thought leadership and framework based solutioning abilities Innovative mindset that looks to improve current capabilities and discover new ones Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of hands-on relevant work experience in lieu of specified degree Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role before applying Inform your manager or HRM before applying for the role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, skills) Mandatory to upload your updated resume (Word or PDF format) Must not be on any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L08 + Employees can apply Grade / Level : 10 Job Family Group Data Analytics Show more Show less

JOB_POSTING-3-71285 Job Description Role Title : Manager, Analytics (L09) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Operations Reporting & Insights team provides Synchrony Operations Teams critical/important, timely, and accurate standardized reporting through direct stakeholder engagement. The Vision of the team is to build a better internal customer experience, one opportunity at a time. Role Summary/Purpose As Manager Analytics _IC you will have the opportunity to work on various business initiatives that contribute to Synchrony’s growth and productivity objectives. This role enables you to work directly with the business in various reporting needs. You will have the opportunity to work with cross-functional teams and leverage state of the art tools (viz., SAS, BI, Tableau, Python). You will also have the opportunity to mentor team members. Key Responsibilities Act As Owners- Understand requirements and create reports based on ad hoc requests. Liaise with teams (local & remote) to gather requirements & build reports, automate reports, document all reporting processes Able to work with minimal direction but not afraid to ask questions when appropriate Perform other duties and/or special projects as assigned Proactively communicate status of projects to project owners and team members Champion Customers- Maintain quality of output by ensuring accuracy & timely delivery of reports and projects Responsible for enhanced validation of critical reports to provide accurate reports for end users. Document and maintain SOP’s assigned reporting processes Establish appropriate contact with business segment peers to understand portfolios, drivers and actions for loss mitigation. Establish working relationships with all stakeholders for assigned processes. Relate & Inspire- Mentor growth of the team through learnings and training opportunities Lead Projects and share best practices with the team Help the teams to debug issues Provide cross functional trainings and create back ups Elevate Every Day- Responsible for accurate preparation of management level reports, ad hoc reporting and analysis. Responsible for enhanced validation of critical reports. Prepare and review quarterly/monthly analysis package with analytics managers. Utilizing queries from the multiple reporting systems and customer information collected from across multiple business processes concurrently. Qualifications/Requirements Bachelor's degree with minimum 3+ years of working experience of SAS, Tableau, Python & SQL in lieu of a degree 5+ years of relevant experience Post graduate or graduate degree in any discipline. Experience leveraging operating systems/multiple data sources for portfolio reporting and economic analysis. Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Good understanding of credit card industry & various operations processes Strong written/oral communication & stakeholder management skills Proven ability to independently deliver Analytical solutions for Business problems. Desired Characteristics Knowledge of Retail Finance business Previous experience working with SQL, UNIX and Oracle Data Warehouse and experience with Python, APEX and SAS BI Experience in Operational Data warehouse like MWC1, DTS01, CDCIP3, CDCIP4, CDCIP5, RDEPPR01, Aperio, Nautilus and PDR Work experience in a US financial institution or bank Strong communication skills with the ability to prepare clear communication and confidently present meaningful analysis to senior and executive management level. Demonstrated experience analyzing business data with the ability to distill large amounts of information down to the critical areas of focus. Clear thinker with an ability to think through processes. Proven ability to successfully interact with all levels of an organization Eligibility Criteria : Bachelor's degree with minimum 3+ years of working experience of SAS, Tableau, Python & SQL in lieu of a degree 5+ years of relevant experience Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L4+ employees can apply Level / Grade : 9 Job Family Group Data Analytics Show more Show less

JOB_POSTING-3-71378-5 Job Description Role Title: Manager, Model Risk Management (L09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Synchrony's Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, you'll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony’s Risk team is the place to be. Role Summary/Purpose The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. Key Responsibilities Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues. Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics. Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management Support in additional book of work or special projects as in when required. Required Skills/Knowledge Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models. Understanding of quantitative analysis methods or approaches in relation to credit risk models. Strong programing skills with 2+ years’ hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data Desired Skills/Knowledge 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Ability to apply analytical skills to solve problems creatively. Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. Be self-motivated, act promptly and effectively when assigned tasks. Excellent written and oral communication and presentation skills. Eligibility Criteria Bachelor’s/Master's degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years' experience in model development or model validation experience in the retail section of a U.S. financial services or banking; in lieu of a Master’s degree, 4+ years’ experience in model development / model validation experience in the retail section of financial services or banking. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, PIP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Credit Show more Show less

JOB_POSTING-3-71335-4 Job Description Role Title: AVP, Analytics - H&W Platform (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being We provide career advancement and upskilling opportunities for all to take up leadership roles Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose AVP, Analytics - H&W Platform (Individual Contributor) role is a part of India Analytics Hub (IAH). The primary purpose of this role is to support and grow Health & Wellness platform business by providing strategic and scalable solutions, collaborating with functional teams on key business priorities, deliver high visibility & high-impact projects and working in close collaboration with IAH and US Analytics teams. The candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business. Key Responsibilities Support Health & Wellness platform business and analytics stakeholders in making informed decisions through data, analytics and insights Proactively discover, lead, and solve open-ended/ambiguous business problems through basic to advanced analytics/data science tools and techniques, as applicabl Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce execution time, as appropriate Lead the projects by ensuring adherence to timely delivery, accuracy, and documentation in line with audit procedures Contribute to internal initiatives, perform other duties and/or special projects, as assigned Demonstrate project management skills and ability to handle multiple initiatives Required Skills/Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience, or in lieu of a degree 6+ years of hands-on relevant analytics/data science experience Minimum 4+ years of hands on SQL/ SAS programming experience & ability to leverage algorithms like Decision Tree, Regression and be efficient in handling complex/large data Must have experience with Business Intelligence and Reporting tools such as Tableau/Power BI Experience in campaign performance measurement, customer targeting framework and synergy of multiple functions & create / connect KPIs Proven ability to design and lead strategic projects and work independently, yet as key member and contributor to a broader team Be able to listen to the stakeholders, ideate/propose solutions, lead planning & execution, and deliver analytics projects Be able to effectively communicate (verbal, written & in presentation form) and lead analytics with senior stakeholders Experience in credit card or financial services industry Ability to effectively manage tasks and projects with competing priorities Desired Skills/Knowledge Superior thought leadership and framework based solutioning abilities Innovative mindset that looks to improve current capabilities and discover new ones Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of hands-on relevant work experience in lieu of specified degree Work Timings This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants Understand the criteria or mandatory skills required for the role before applying Inform your manager or HRM before applying for the role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, skills) Mandatory to upload your updated resume (Word or PDF format) Must not be on any corrective action plan (First Formal/Final Formal, PIP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible L08 + Employees can apply Grade / Level : 10 Job Family Group Data Analytics Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Description The Retail Business Services (RBS) group is an integral part of Amazon's online product life-cycle and supports buying operations. The team’s primary role is to support the creation and enhancement of retail selection on the worldwide Amazon online catalog. The tasks handled by this group can impact online user experience. The successful Subject Matter Expert is a problem-solver, mentor and communicator with expertise in process optimizations and systems thinking. You will engage directly with multiple internal teams to drive business projects for the RBS team. You will utilize a wide range of skills and work on operational quality to independently drive the performance improvement projects. In this role you will be focused on improving the experience and satisfaction of Amazon customers (vendors/vendor managers/end customer), root cause analysis of issues and opportunities affecting the business. Key job responsibilities Develop strategies for continuous improvement in process and customer quality. Strengthen the existing process by ensuring identification of automation and upstream defect elimination opportunities. Drive process excellence initiatives, drive Kaizen events and work on new automation / solution building projects Able to drill into large amounts of data and extract meaningful business metrics. Perform data analysis on trends observed and recommend solutions to the product and Business teams Collaborate with partner teams and stakeholders across the globe to deliver on key business goals and objectives by driving consensus and building trust Demonstrates the ability to dive deep into a problem, perform root cause and corrective actions to avoid defect reoccurrence. Establishes key reports for functional area Able to write , well-structured and detail-oriented documents in a clear, concise and audience-specific format The Candidate Is/has Aptitude and interest for Upstream Defect Elimination. Ability to identify, prioritize and coordinate work streams as necessary including prioritizing, scheduling, time management, and meeting deadlines High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision About The Team The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience. Basic Qualifications 1+ years of program or project management experience Experience using data to influence business decisions 1+ years of interacting with customers/stake holders experience Bachelor's degree Knowledge of MS office. Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. Preferred Qualifications Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience back office operations, escalation management and troubleshooting environments Experience working in e-commerce / retail / supply chain / financial services business Worked in a global client facing role. Six sigma green belt certified ISO 9001 lead auditor certified Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3008389 Show more Show less

Step into a role of Assistant Manager - Fraud Analytics, where you’ll take responsibility for client service and operational execution task. You must take responsibility for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations. You must follow well defined procedures that may require a range of job routines and make judgement based on practice and previous experience. To thrive in this role, you’ll need some previous experience in: Bachelor’s degree or equivalent in quantitative field of study (master’s candidate is good to have). Candidate possessing data and analytical experience with problem solving skills. Ability to perform and handle multiple workstreams with deadline driven environment. Working knowledge of SAS, SQL, and Microsoft Excel. Relevant industry experience. Effective communication skills – fluent in English written and spoken. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function Data Analytics & Computational Sciences Job Sub Function Biostatistics Job Category Scientific/Technology All Job Posting Locations: Bangalore, Karnataka, India, Mumbai, India, PENJERLA, Telangana, India Job Description Principal Responsibilities: Completes programming trial activities of low complexity and/or criticality, with high quality and timeliness of deliverables. Designs and develops programs in support of clinical analysis and reporting activities. May support submission activities including but not limited to creation, verification, and delivery of CDISC compliant and/or non-standard data packages. Performs activities in accordance with departmental processes and procedures. Performs appropriate quality control and verification in support of clinical analyses and reporting activities. Performs review and provides feedback on project requirements and documentation. Collaborates effectively with team and cross-functional members. Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position. May contribute to departmental innovation and process improvement projects. Clinical Programmer Reviews specifications for mapping internal Data Review Model (DRM) for fit-for-purpose reporting consumption and ensures verification of DRM. Supports data cleaning by programming edit checks and data review listings and data reporting by creating data visualizations and listings for data management, medical monitoring, and central monitoring. Principal Relationships This role reports into a people manager position within the Delivery unit and is accountable to the Portfolio and Study Leads for assigned activities and responsibilities. Functional contacts within IDAR include but are not limited to: Leaders and leads in Data Management and Central Monitoring, Programming Leads, Clinical Data Standards, Regulatory Medical Writing Leads, and system support organizations. Functional Contacts within J&J Innovative Medicine (as collaborator or peer) include but are not limited to: Statistics, Clinical, Global Medical Safety, Project Management, Regulatory, Strategic Partnerships, Human Resources. External contacts include but are not limited to external partners, CRO management and vendor liaisons, industry peers and working groups. Education And Experience Requirements Bachelor’s degree or higher and/or equivalent in computer science, mathematics, data science/data engineering/analytics, public health, or other relevant scientific field (or equivalent theoretical/technical depth). Experience And Skills Required Basic knowledge of data structures and relevant programming languages for data manipulation, and statistical reporting which may include SAS, R, Python etc. Knowledge of SAS is preferred for Clinical Programming role. Basic knowledge of processes, methods, and concepts relevant to programming. Experience working in a team environment preferred. Demonstrated written and verbal communication skills. Show more Show less

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resource. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing goals. Qualifications Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields. Masters preferred. 1 to 2 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects Good working knowledge and understanding of statistics and advanced analytics, marketing mix modeling / econometric analysis / multivariate regression is a must have skill. Experience with coding languages; must have working knowledge of Python and/or R. Understanding of fundamental database concepts and SQL is beneficial. Good to have Marketing analytics, data science techniques. Strong excel skills (Vlookups, Pivot Tables, Macros and other advanced functions) Excellent communication skills. Good to have Experience with data visualization platforms. PowerBI/Tableau, Qlikview, Plotly, SAS, etc. are good-to-have. Good to have Prior agency experience Good to have Familiarity with digital marketing and media concepts & tools and web analytics (Google DCM, Adobe Analytics, Google Analytics etc.)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function Data Analytics & Computational Sciences Job Sub Function Biostatistics Job Category Scientific/Technology All Job Posting Locations: Bangalore, Karnataka, India, Mumbai, India, PENJERLA, Telangana, India Job Description Principal Responsibilities: Completes programming trial activities of low complexity and/or criticality, with high quality and timeliness of deliverables. Designs and develops programs in support of clinical analysis and reporting activities. May support submission activities including but not limited to creation, verification, and delivery of CDISC compliant and/or non-standard data packages. Performs activities in accordance with departmental processes and procedures. Performs appropriate quality control and verification in support of clinical analyses and reporting activities. Performs review and provides feedback on project requirements and documentation. Collaborates effectively with team and cross-functional members. Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position. May contribute to departmental innovation and process improvement projects. Clinical Programmer Reviews specifications for mapping internal Data Review Model (DRM) for fit-for-purpose reporting consumption and ensures verification of DRM. Supports data cleaning by programming edit checks and data review listings and data reporting by creating data visualizations and listings for data management, medical monitoring, and central monitoring. Principal Relationships This role reports into a people manager position within the Delivery unit and is accountable to the Portfolio and Study Leads for assigned activities and responsibilities. Functional contacts within IDAR include but are not limited to: Leaders and leads in Data Management and Central Monitoring, Programming Leads, Clinical Data Standards, Regulatory Medical Writing Leads, and system support organizations. Functional Contacts within J&J Innovative Medicine (as collaborator or peer) include but are not limited to: Statistics, Clinical, Global Medical Safety, Project Management, Regulatory, Strategic Partnerships, Human Resources. External contacts include but are not limited to external partners, CRO management and vendor liaisons, industry peers and working groups. Education And Experience Requirements Bachelor’s degree or higher and/or equivalent in computer science, mathematics, data science/data engineering/analytics, public health, or other relevant scientific field (or equivalent theoretical/technical depth). Experience And Skills Required Basic knowledge of data structures and relevant programming languages for data manipulation, and statistical reporting which may include SAS, R, Python etc. Knowledge of SAS is preferred for Clinical Programming role. Basic knowledge of processes, methods, and concepts relevant to programming. Experience working in a team environment preferred. Demonstrated written and verbal communication skills. Show more Show less

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Preferred Knowledge/Skills Assist in collecting, cleaning, and processing data from various sources to support business objectives. Conduct exploratory data analysis to identify trends, patterns, and insights that drive strategic decision-making. Collaborate with team members to design and implement data models and visualizations using tools such as Excel, SQL, Python or Power Bi. Support the preparation of reports and presentations that communicate findings and insights to stakeholders in a clear and concise manner. Participate in the development and maintenance of documentation and data dictionaries to ensure data integrity and governance. Work with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay updated with industry trends and best practices in data analytics and contribute ideas for continuous improvement. Good To Have Experience in a similar role in their current profile. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Familiarity with data analysis tools and programming languages (e.g., Excel, SQL, Python, Databricks). Basic understanding of Power BI data visualization techniques and tools Strong analytical and problem-solving skills with attention to detail. Education Bachelor’s degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. More than 1 year of experience in data analytics, data science, or a related role. Excellent verbal and written communication skills. Ability to work collaboratively in a team environment and manage multiple tasks efficiently. Eagerness to learn and adapt to new technologies and methodologies. CPA or equivalent certification Show more Show less

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Requirements Preferred Knowledge/Skills: Assist in collecting, cleaning, and processing data from various sources to support business objectives. Conduct exploratory data analysis to identify trends, patterns, and insights that drive strategic decision-making. Collaborate with team members to design and implement data models and visualizations using tools such as Excel, SQL, Python or Power Bi. Support the preparation of reports and presentations that communicate findings and insights to stakeholders in a clear and concise manner. Participate in the development and maintenance of documentation and data dictionaries to ensure data integrity and governance. Work with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay updated with industry trends and best practices in data analytics and contribute ideas for continuous improvement. Good To Have Experience in a similar role in their current profile. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Familiarity with data analysis tools and programming languages (e.g., Excel, SQL, Python, Databricks). Basic understanding of Power BI data visualization techniques and tools Strong analytical and problem-solving skills with attention to detail. Education Bachelor’s degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. More than 1 year of experience in data analytics, data science, or a related role. Excellent verbal and written communication skills. Ability to work collaboratively in a team environment and manage multiple tasks efficiently. Eagerness to learn and adapt to new technologies and methodologies. CPA or equivalent certification Show more Show less

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Requirements Preferred Knowledge/Skills: Assist in collecting, cleaning, and processing data from various sources to support business objectives. Conduct exploratory data analysis to identify trends, patterns, and insights that drive strategic decision-making. Collaborate with team members to design and implement data models and visualizations using tools such as Excel, SQL, Python or Power Bi. Support the preparation of reports and presentations that communicate findings and insights to stakeholders in a clear and concise manner. Participate in the development and maintenance of documentation and data dictionaries to ensure data integrity and governance. Work with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay updated with industry trends and best practices in data analytics and contribute ideas for continuous improvement. Good To Have Experience in a similar role in their current profile. Good accounting knowledge and experience in dealing with financial data are a plus. Knowledge of Azure Databricks / Alteryx / Python / SAS / Knime. Familiarity with data analysis tools and programming languages (e.g., Excel, SQL, Python, Databricks). Basic understanding of Power BI data visualization techniques and tools Strong analytical and problem-solving skills with attention to detail. Education Bachelor’s degree in a related field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent experience. More than 1 year of experience in data analytics, data science, or a related role. Excellent verbal and written communication skills. Ability to work collaboratively in a team environment and manage multiple tasks efficiently. Eagerness to learn and adapt to new technologies and methodologies. CPA or equivalent certification Show more Show less

6-8 years of experience with at least 4 years of experience in test automation. Prior automation experience is a must. Familiarity with Python for test automation and scripting. Minimum 6 years of experience in QA/testing, with a focus on payments, ETL and data engineering projects. Excellent communication skills to work effectively with cross-functional teams. Good To Have 6-8 years of experience in Payments/SWIFT/ISO/ ETL testing. Strong SQL skills for querying, comparing, and validating large datasets. Experience in testing ETL pipelines and data transformations- Prior experience testing ETL migrations from legacy systems like SAS DI to modern platforms is a plus. Hands-on experience with cloud platforms, particularly AWS services like S3, EMR, and PostgreSQL on AWS. Knowledge of SAS DI is highly desirable for understanding legacy pipelines. Show more Show less

Company Description Ghatorey Private Limited is a diversified engineering company specializing in Mushroom Cultivation Machinery, HVAC Solutions, and Sustainable Waste Management Systems. With expertise in tunnel fillers, chillers, car park ventilation systems, and composters, we deliver customized solutions across various sectors. Our legacy of excellence and Unified Brilliance drives us to provide reliable and efficient services in India and abroad. Role Description This is a full-time, on-site HVAC Site Manager role located in SAS Nagar. The HVAC Site Manager will be responsible for overseeing HVAC projects, managing on-site operations, ensuring customer satisfaction, and providing exceptional customer service. The role involves coordinating with plumbing teams, driving sales, and maintaining high standards of HVAC installations. Qualifications Customer Satisfaction, Customer Service, and Sales skills Experience in HVAC VRF Projects Strong communication and interpersonal skills Ability to manage on-site operations efficiently Demonstrated problem-solving abilities Mechanical Diploma or Degree Show more Show less

Overview PepsiCo is seeking a strategic and visionary Generative AI Solutions leader to lead transformative AI initiatives across Consumer, Commercial, and Reporting functions. This role will focus on designing scalable AI-driven business solutions, driving global change management, and aligning AI initiatives to enterprise goals. The ideal candidate brings deep domain experience, cross-functional leadership, and the ability to translate AI capabilities into measurable business outcomeswithout managing the underlying AI platforms. Responsibilities AI Transformation Strategy & Road mapping Lead the definition and execution of enterprise-wide strategies for Consumer AI, Commercial AI, and Reporting AI use cases. Identify, prioritize, and solution complex AI-powered business opportunities aligned with PepsiCo's digital agenda. Translate market trends, AI capabilities, and business needs into an actionable Generative AI roadmap. Solution Design & Cross-Functional Orchestration Drive cross-functional solutioning using Gen-AI and Agentic AI capabilities and platforms of PepsiCo. Collaborate with business, data, and engineering teams to craft impactful AI agent-based solutions for Commercial and consumer facing functions including Marketing & R&D. Architect and design future AI solutions leveraging agentic frameworks. Collaborate with engineering teams to provide the necessary features for building. Work closely with Enterprise Architecture and Cloud Architecture teams to build scalable architecture. Leadership, Influence, and Governance Act as the face of Generative AI solutioning for senior executives and transformation leaders. Drive alignment across global and regional teams for solution design, prioritization, and scale-up. Provide technical leadership and mentorship to the AI engineering team. Stay up to date with the latest advancements in AI and related technologies. Drive innovation and continuous improvement in AI platform development. Ensure solutions meet enterprise standards for Responsible AI, data privacy, and business continuity. Qualifications 15+ years of experience in enterprise AI, digital transformation, or solution architecture, with a track record of leading AI-powered business programs. Strong understanding of Consumer/Commercial business functions and how to apply AI to transform them (sales, marketing, supply chain, insights, reporting). Demonstrated experience designing Gen-AI or multi-agent solutions, using orchestration frameworks like LangGraph, CrewAI, AutoGen, or Temporal. Deep capability in AI-powered reporting, scenario modeling, insight generation, and intelligent automation. Proven success in change management, stakeholder engagement, and global rollout of strategic programs. Excellent communication and influences.

Overview We are seeking an experienced and strategic Business Analyst / Functional Lead to drive solution definition, business alignment, and successful delivery of Real-Time Decisioning initiatives and play a critical role in translating complex business needs into actionable functional requirements, guiding cross-functional teams, and shaping customer-centric decisioning strategies across digital channels. Responsibilities Gather, analyze, and document business and functional requirements for decisioning use cases (e.g., next-best-action, personalized offers, customer journeys). Act as the primary liaison between business stakeholders, product owners, and technical teams for real-time decisioning solutions. Define and maintain decision logic, business rules, and outcome scenarios in alignment with marketing and CX goals. Facilitate all Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives. Guide the team in Agile practices, track sprint progress, and manage delivery risks. Remove blockers and coordinate across business, design, tech, QA, and operations teams. Maintain ADO board, backlog grooming, sprint metrics, and continuous improvement initiatives. Collaborate with solution architects to design customer-centric, scalable real-time decisioning frameworks. Lead discovery and requirement workshops with marketing, data, and technology stakeholders. Own the functional design documents, user stories, and solution blueprints; ensure clarity, accuracy, and traceability. Work with engineering teams to define test scenarios and validate decisioning outputs. Support rollout, training, and adoption of decisioning platforms across business units. Continuously monitor and optimize decisioning logic and KPIs in partnership with analytics teams. Qualifications Candidate should have total 9 14 years of total IT experience and at least 3+ years of relevant work experience as an RTD Functional Lead and business analysis, functional consulting, or similar roles in MarTech, AdTech, or CX platforms. Bachelor's or Master's degree in computer science, information technology, or a related field. Strong understanding of real-time decisioning platforms such as Salesforce Marketing Cloud Personalization / Interaction Studio CleverTap Proven ability to map customer journeys and define decision strategies based on personas, behavior, and context. Skilled in requirement gathering, functional documentation, user story writing, and backlog management. Excellent understanding of data flows, business rules, segmentation, and targeting. Ability to translate business needs into logical rules, decision tables, and KPIs. Strong communication and stakeholder management skills across business and technical audiences.

Overview Provide data science / analytics support for the Perfect Store group who works with AMESA Sectors, a part of the broader Global Capability Center in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by building Retailer Value Offer and Shopper Value offer, aligning data, and performing advance analytics approaches for PepsiCo to drive actionable insights at Business Unit, store level. Key responsibilities will be to build and manage advance analytics-deep dives in a cloud environment, manage data and prepare data to be used for advanced analytics, artificial intelligence, machine learning, and deep learning projects. Responsibilities Support Perfect Store (Demand Accelerator) team with delivery of Retail Value Offer, Shopper Value Offer framework for AMESA sector Work within cloud environment (e.g., Microsoft Azure) Build and maintain codes for use in advanced analytics, artificial intelligence, and machine learning projects Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects Build deep dive analysis reports in cloud environment (using Pyspark and Python) to support BU Ask Develop, maintain, and apply statistical techniques to business questions - including Distribution, Outliers, visualizations etc. Support relationships with the key end-user stakeholders with Business Units-AMESA Own flawless execution AND Quality Check of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines and formats while updating existing project management tools Flag and monitor any business risks related to delivering the requested outputs Qualifications An experienced analytics profession with 4 years+ experience EducationB.Tech or any bachelors degree. Masters are optional Proficient with Python, SQL, Excel and PowerBI Plus, to have knowledge on Machine Learning algorithms Good to have Retail experience Strong collaboratorInterested and motivated by working with others. Owns the full responsibility of deliverables, quality check thoroughly, look for and work on improvements in the process Actively creates and participates in opportunities to co-create solutions across markets. Willing and able to embrace Responsive Ways of Working