5170 Sas Jobs - Page 42

Skill required: Data Scientist - Data Science Designation: I&F Decision Science Practitioner Specialist Qualifications: Any Graduation Years of Experience: Experienced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to marketing organizations in terms of optimizing ROI & performance efficiency in operations.Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. You will be a core member of Accenture Operations global Applied Intelligence group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. The objectives of the team include but are not limited toLeading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience - Python, R, SAS, S-plus, MATLAB, STATA or SPSS. Experience working with large data sets and big data tools like Snowflake, AWS, Spark, etc. Solid knowledge in at least one of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc.), Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models Experience in atleast one of these business domainsCPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description ABOUT THE ROLE We won’t say we can predict the future, but our team of Analysts get pretty close, they turn millions of data points into useful information & insights that help our clients to make better decisions on their marketing mix and achieve superior results. Be part of the future and join in on one of the major transformations in the market research industry with the integration of big data and classic marketing mix analysis. Responsibilities Deliver as a part of our consultant team in driving high quality results on custom project work Ensure effective and timely delivery of project work Work towards understanding statistical models and deliver business insights and findings Ensure compliance to Marketing Mix Modeling modeling practices and company quality standards Maximize the efficient and effective use of resources by utilizing appropriate processes and tools To build and maintain effective contacts with other departments to ensure the efficient and effective use of resources Liaise with appropriate Marketing Mix Modeling and Nielsen departments to ensure hardware and software requirements are fulfilled Work with co/ third party modellers to deliver business insights and findings Qualifications 0-2 years of relevant experience Master’s degree in Economics, Mathematics, Statistics, Engineering In-depth understanding of statistical modeling techniques and applications Good and working knowledge of any statistical languages like SAS, R, Pythons Solid proficiency of decision making and problem resolution skills Passion for results with a challenger mindset About The Team Global Product, Technology & Operations supports Nielsen Media’s growth strategy by enabling positive client and market solutions. Our Operations Team is in a unique position as the center of data collection, analysis and delivery. We deliver outcomes with the highest quality and integrity standards in an agile and transparent way while standing by our Nielsen values. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description ABOUT THE ROLE We won’t say we can predict the future, but our team of Analysts get pretty close, they turn millions of data points into useful information & insights that help our clients to make better decisions on their marketing mix and achieve superior results. Be part of the future and join in on one of the major transformations in the market research industry with the integration of big data and classic marketing mix analysis. Responsibilities Deliver as a part of our consultant team in driving high quality results on custom project work Ensure effective and timely delivery of project work Work towards understanding statistical models and deliver business insights and findings Ensure compliance to Marketing Mix Modeling modeling practices and company quality standards Maximize the efficient and effective use of resources by utilizing appropriate processes and tools To build and maintain effective contacts with other departments to ensure the efficient and effective use of resources Liaise with appropriate Marketing Mix Modeling and Nielsen departments to ensure hardware and software requirements are fulfilled Work with co/ third party modellers to deliver business insights and findings Qualifications 0-2 years of relevant experience Master’s degree in Economics, Mathematics, Statistics, Engineering In-depth understanding of statistical modeling techniques and applications Good and working knowledge of any statistical languages like SAS, R, Pythons Solid proficiency of decision making and problem resolution skills Passion for results with a challenger mindset About The Team Global Product, Technology & Operations supports Nielsen Media’s growth strategy by enabling positive client and market solutions. Our Operations Team is in a unique position as the center of data collection, analysis and delivery. We deliver outcomes with the highest quality and integrity standards in an agile and transparent way while standing by our Nielsen values. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Purpose of the role: To deliver high quality custom projects working with the MMM consulting community. Initially the focus will be on delivery, leveraging some of Nielsen systems and also work with external data and packages like SAS, R etc. The role includes working directly with end client in different geographies and also at times travelling to meet and present business findings/Insights. Main Accountabilities Deliver as a part of our consultant team in driving high quality results on custom project work ∙ Ensure effective and timely delivery of project work. Work towards understanding statistical models and deliver business insights and findings ∙ Ensure compliance to MMM modeling practices and company quality standards ∙ Maximize the efficient and effective use of resource by utilizing appropriate processes and tools To build and maintain effective contacts with other departments to ensure the efficient and effective use of resources. Liaise with appropriate MMM and Nielsen departments to ensure hardware and software requirements are fulfilled Work with co/ third party modellers to deliver business insights and findings Qualifications Experience: 0-2 years of relevant experience M.Sc. / M.A – Mathematics, Statistics, Economics, Actuarial Sciences. Or MBA in Marketing / specialized course in Business Analytics Knowledge And Skills Requirement Proactive. Good Understanding of Market Research and statistical modelling techniques and applications ∙ Good and working knowledge of any statistical languages like SAS, R SPSS etc Solid proficiency of decision making and problem resolution skills Passion for results with a challenger mind-set. Accountability along with taking initiative and follow-through. Proficient in PowerPoint and advanced excel skills. Strong communication skills Fluency in English Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Description Job Title – Software Engineer The Purpose of This Role This job position is for the WS DC Data Conversion Mainframe/Linux Developer in Bangalore. The DC Data Conversion Linux SAS Developer is a key member of an integrated implementation team responsible for the successful transition of conversion data for DC plan implementations. While adhering to established processes and procedures, the DC Data Conversion Linux SAS Developer will work closely with all conversion partners to convert, audit, validate, reconcile and load conversion data. You are well steeped in the Fidelity culture and values. You have strong, educated and pragmatic, opinions both on what we do and how we do it. You also have the pragmatism and experience to yield the floor and allow better ideas to prevail. The Value You Deliver Ability to quickly learn and Analyze complex Systems Very Good Analytical Skills Ability to work independently Excellent technical and communication skills Ability to create and maintain documentation wherever necessary Should be innovative and works as collaborator with Scrum team Analysis, design, development, unit testing and execution with coding standards Should be able to manage projects individually with agile methodology Technical Skills The Skills that are Key to this role 2.5+yrs experience in the IT industry in the Linux SAS with exposure to Mainframe Technology with DB2, JCL, VSAM. Experience in financial / retirement services domain a plus. Detail hands on experience in Linux SAS and/or Mainframe SAS Good to have basic Python, SQL and ETL knowledge Close interaction with onshore and business partners Ensure to follow quality adherence Good analytical and interpersonal skills Excellent oral and written communication skills Quick learner and willing to adapt and learn new technologies Great attitude, team player and effective contributor. Domain knowledge of Retirement Services is a plus Commitment to quality and high standards Strong analytical and interpersonal skills` Good customer interaction skills Behavioral Excellent communication skills Close interaction with the project team members Close interaction with onshore and business partners Strong analytical and interpersonal skills Great attitude, team player and effective contributor. Time Management and Planning Skills Commitment to quality and high standards How Your Work Impacts The Organization Workplace Solutions (WS) helps millions of people save and invest through workplace savings plans. WS builds lifetime relationships with customers and provides employers with cost-effective, integrated employee benefit solutions. The company serves customers online, over the phone. WI business constitutes of four different product lines Defined Contribution (DC), Defined Benefits (DB), Health & Welfare (HW) and Stock plan services (SPS). The Expertise we’re looking for Bachelor’s degree in Computer science or any other discipline 2.5+ years of experience in Mainframe/Linux SAS role In this role, associate will work closely in a team of other developers across various groups to implement the applications as desired. Location : Chennai Shift timings : 11:00 am - 8pm Certifications Category: Information Technology

Roles and Responsibilities: Conceptualize and implement early warning triggers & strategies from fraud perspective in both assets and liabilities Develop analytics to identify suspected frauds in both credit and non-credit areas Monitor efficacy of the analytical / predictive models implemented and advise updations/modifications Monitor effectiveness of triggers and rules set for fraud identification and suggest refinements/additional rules to improve efficacy and accuracy Design fraud monitoring framework through data analytics and collaboration with first line of defense Analyze historical data on EWS, RFA and credit frauds across industry to develop and implement EWS triggers Interpret data and present actionable insights to key stakeholders Lead collaboration between stakeholders RCU, product, analytics, IT, BSG & business to design/implement solutions w.r.t. Fraud identification and monitoring Monitor & maintain fraud analysis solutions / models to improve efficiency & effectiveness Collaborate with FinTechs / external vendors for exploring on new ideas / innovations and implement the same Presentation to relevant committees and senior management: Job Requirements: Candidate should have minimum 5-6 years experience in analytical/statistical modelling and data analytics in Fraud Risk with overall experience of at least 8 years. Prior experience in Analytics on Python/SAS is must. Candidate should have excellent logical thinking and solution building skills. Above average to advanced excel and presentation skills Good written and verbal communication skills Professional Qualifications - MSc Statistics/ MTech/BTech/MBA from Tier1 colleges or universities with CFE certification preferred

JD Taking day-to-day collection status as well as taking end status of the cash deposited collected on day with team size of 5- 7 FOS for CV ,LCV and TFE products To handle all buckets from 0DPD to 270DPD Managing regular collection, NPA collection and legal collection. To Ensure Quality portfolio. To focus on improving Collections in the area assigned individually and in a team. To ensure adherence MOPP Norms. To adhere to the BANKS processes and procedures. To adhere to Audit requirement. To ensure Good Coordination between individuals in the Team and Branch in Particular. Manage high ticket size delinquent/non delinquent accounts directly

JD - Collections Executive Job Role / KRAs To Ensure Quality portfolio. To focus on improving Collections in the area assigned individually or in a team / as a team. To ensure adherence MOPP Norms. To adhere to the BANKS processes and procedures. To adhere to Audit requirement. Job Requirements, Skills, Knowledge prerequisites Passion for Collection. Willing to Take challenges and responsibility Should have the ability to convince the customer to pay on our terms and conditions

Description Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to create the next-generation tools for intuitive data access for transportation operations? We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models for the RBS Cost to Serve team. You will be a key contributor to shaping our strategic Defect Elimination program by equipping the program teams with the key analytics and insights. You will have an eye for detail, proficient/advanced SQL/DW/Python and have a knack for solving challenging data and reporting challenges. The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally. The position will be based in Bangalore/Chennai/HYD. You will be reporting to a Sr Program Manager : Cost to Serve Analytics & Insights, working intensely with her (larger) project team, including Finance. The ideal candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to “Work Hard. Have Fun. Make History”. Key job responsibilities Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system Independent realization of requirements for Business Intelligence and custom software development products Creation of test cases and guidance of business stakeholders within the testing process Presentation of solutions and implemented features within weekly sync up with business stakeholders Ownership of maintenance and error handling of deployed solutions Focus on project delivery About The Team RBS Cost to Serve team aims to identify and eliminate waste, negative experiences, and non-value activities across the end-to-end remit of supply chain and dependent work streams that slow down resolution for our stakeholders. The primary objective is to reduce Cost To Serve for Amazon and enable “Free Cash Flow” by optimizing the Cost per shipped unit economics across the supply chain systems through Defect Elimination. Our program will support in establishing the end-to-end supply chain checkpoints on how the inventory moves inside Amazon to identify gaps, broken processes/policies to eliminate root causes of systemic difficulties rather than merely addressing symptoms, on behalf of our customers. This team will partner with internal/external stakeholders to establish the Cost to serve charter based on opportunity size and own specific unique initiatives that are beyond the existing team’s program scope. Basic Qualifications 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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 - HYD 15 SEZ - E55 Job ID: A2999431

Looking for immediate joiners only This Role is for 5 months contract with BDO Job Title: Fullstack Developer(Azure Developer) Location: Guindy(Client site) Experience Level: a minimum of 3 years of relevant experience Job Summary We are actively seeking a talented Full Stack Developer with expertise in Azure development to join our dynamic team. In this capacity, the individual will be responsible for designing, developing, and maintaining both front-end and back-end applications that fulfill the needs of our users. The role requires leveraging proficiency in Angular to create responsive and user-friendly interfaces, alongside utilizing .NET Core to develop robust and scalable server-side applications. The ability to collaborate effectively with cross-functional teams, comprehend business requirements, and translate them into technical solutions will be essential for the successful execution of our projects. The ideal candidate will demonstrate strong problem-solving skills, meticulous attention to detail, and a commitment to delivering high-quality software. This position offers an opportunity to contribute to innovative projects and to have a meaningful impact on the development process in a supportive and fast-paced environment. Key Responsibilities Analyze system requirements, design new functionality, and prioritize tasks. • Write clean, testable code and ensure high performance. • Develop technical specifications and architecture. • Test and debug various applications. • Review and refactor code. • Deploy fully functional applications. • Upgrade existing programs. Qualifications and Skills Total Experience of at least 5 years with minimum 2 years of relevant experience in cloud (Azure). • Demonstrate knowledge in architecting, designing, and developing solutions in an Azure Cloud environment • Strong Knowledge in PAAS Service like APP Service, Azure Key Vault, Azure Functions, Storage Queue, Azure Service Bus • Strong Backend development experience with C# dotnet core. • Strong knowledge on best practices for API/Microservice Development, design patterns and containerization technologies (Docker/Kubernetes). • Good understanding of Azure Databases; MSSQL SQL • Must have excellent problem solving and troubleshooting skills • Experience with designing and implementing end-to-end Continuous Delivery pipelines • Good understanding on Cloud security, RBAC, and SAS. • Writing Documentation according to business needs. • Cloud certification in AZ 900, AZ-305 is value added advantage. • Experience with Infrastructure as Code (IaC) using Terraform for deploying Azure resources. • LINQ and Entity Framework with any ORM (Mandatory) • WEB API development and consumption (Mandatory) • Proficient in using GitHub for version control. • Having skills in designing and working with Restful Web APIs.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview: Partnering with stakeholders across the organization to oversee the development and use of Fraud Authorization and claim data systems and discover ways to organize, store and analyze data / metadata for fraud life cycle as efficiently as possible. Identify, assess and communicate potential data quality issues in the way data is collected, stored and used. Job Description Experienced analytical professional to join our team as a Data Governance Analyst. In this role you will be responsible for overseeing the development and use of our Fraud Authorization and claim data systems. For this position, strong understanding of data processing and data analytics are necessary. In addition, the role requires strong written and verbal communications skills as the expectation is to communicate and influence both vertically and horizontally within organization. Responsibilities: Some tasks that this role may be responsible for include (but are not limited to): Develop and implement procedures for effective data governance Formulate techniques for building data quality controls to ensure adequacy, accuracy and legitimacy of data Monitor and evaluate information and data systems that could affect analytical results Analyze, query and manipulate data according to defined business rules and procedures Prepare detailed reports for management and other departments by analyzing and interpreting data Create rules and procedures for sharing data Coordinate/manage internal and external audits (manage deliverables, discussions and potential findings) Develop, implement and validate established action plans for all issue types (audit, risk, compliance, self-identified, etc.) Develop data management strategies on an ongoing basis Education Bachelor’s degree is desired, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science. Post graduate degree is a plus Certification : Technical certifications in SAS, SQL preferred Reporting and visualization certificate/training is a plus Experience Range: 6+ years of relevant experience U.S financial services experience preferable Understanding of business domains like Fraud/Claims/Compliance/Risk SAS, SQL and any visualization tool like Tableau etc. Foundational Skills: 6+ years of data management/data quality experience Strong written and verbal communications skills Highly organized with strong project/time management skills Ability to balance intersecting priorities and to work independently with minimal supervision Ability to think critically and solve problems when roadblocks arise Ability to navigate complex and ambiguous environment Executive presence, must be able to partner and influence across all levels of the organization Knowledge of reporting and visualization tools such as Tableau etc Intermediate to advanced knowledge of SAS and SQL Desired Skills: Excellent understanding of data administration and management functions Proven track record of dealing with large amounts of data Ability to pull data from multiple sources and to generate meaningful insights Work Timings : 12:30 PM to 9:30 PM Job Location: Chennai

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Rest of World (ROW) Transportation Execution team in Hyderabad is looking for an innovative, hands-on and customer-obsessed BIE for its Analytics function. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.

Description Amazon's Product Lifecycle Support (PLS) offers relevant post-purchase product support to customers, and empowers them to make the most of the products purchased on Amazon. By solving post-purchase product issues, we prevent avoidable returns and help the planet by extending the life of products, thereby generating positive financial and environmental impacts. PLS first launched in Q4 2015 featuring a warranty repair option for Samsung laptops surfaced during the returns process in the Online Return Center (ORC). Since then, PLS has grown substantially, and now offers customers eight product support options - (1) Live call & chat with Amazon product support agent available up to 6 months, (2) Live call & chat with the brand product support agent available up to 2 years, (3) contact the manufacturer yourself by accessing brand phone number and/ support website available up to 2 years, (4) access free warranty repair services available up to 2 years, (5) accessing free replacement parts available until return window, (6) access other sustainable end-of-life options such as trade-in, resell, refill, recycle, donate etc. available up to 2 years, (7) help yourself by watching step-by-step video instructions provided by the brand, and (8) help yourself by following step-by-step instructions provided by the brand. We are seeking a motivated Account Manager to drive brand adoption and expansion of Amazon’s Product Support (PLS) program across multiple marketplaces, across North America and Europe. This role will play a crucial part in helping brands enroll and optimize their product support offerings—spanning setup, troubleshooting, warranty services, replacement parts, trade-ins, and recycling solutions—to improve the customer experience, reduce returns, and enhance product sustainability. The Account Manager will work closely with the Customer Insights Program (CIP) lead to prioritize target brands and products. With guidance from their local manager, they will partner with the Selling Partner Program (SIP) counter parts, Enrollment & Operations Program (EOP) counterparts, and collaborate with internal stakeholders team counterparts (AMs, VMs, CSMs, Sales Reps, and Marketing Teams) to execute outreach campaigns, drive enrollment, and increase coverage and quality of PLS. Key job responsibilities Brand Prioritization & Targeting Leverage insights from the CIP program to identify high-priority brands and products for PLS expansion. Analyze return trends, defect drivers, and customer engagement metrics to develop targeted outreach plans. Brand Engagement & Awareness Partner with the SIP program lead to execute multi-channel brand engagement strategies, including email campaigns, webinars, training sessions, and one-on-one consultations. Educate brands on how to enroll and manage product support on Seller Central (SC) and Vendor Central (VC) using self-serve tools. Highlight the benefits of Amazon’s AI assistant (Rufus), Get Product Support (GPS) button, and performance reporting in enhancing product support. Work closely with brands to co-develop sustainability solutions for extended product support beyond two years. Stakeholder Collaboration Build strong relationships with AMs, VMs, CSMs, and Sales Teams to align PLS messaging across all touchpoints. Collaborate with internal teams to ensure smooth onboarding and support for brands needing deeper integration. Performance Tracking & Reporting Monitor PLS enrollment trends and adoption rates across brands and marketplaces. Gather and synthesize Voice of Seller (VOS) insights to inform feature enhancements and drive continuous improvement. Provide regular reporting on brand engagement impact and adoption rates. Basic Qualifications 1+ years of program or project management experience Knowledge of SQL and Advanced Excel (Array and Statistical formulas) Experience using data to influence business decisions 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 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 - Amazon Dev Center India - Hyderabad - A85 Job ID: A3036795

Description Amazon's Product Lifecycle Support (PLS) offers relevant post-purchase product support to customers, and empowers them to make the most of the products purchased on Amazon. By solving post-purchase product issues, we prevent avoidable returns and help the planet by extending the life of products, thereby generating positive financial and environmental impacts. PLS first launched in Q4 2015 featuring a warranty repair option for Samsung laptops surfaced during the returns process in the Online Return Center (ORC). Since then, PLS has grown substantially, and now offers customers eight product support options - (1) Live call & chat with Amazon product support agent available up to 6 months, (2) Live call & chat with the brand product support agent available up to 2 years, (3) contact the manufacturer yourself by accessing brand phone number and/ support website available up to 2 years, (4) access free warranty repair services available up to 2 years, (5) accessing free replacement parts available until return window, (6) access other sustainable end-of-life options such as trade-in, resell, refill, recycle, donate etc. available up to 2 years, (7) help yourself by watching step-by-step video instructions provided by the brand, and (8) help yourself by following step-by-step instructions provided by the brand. We are seeking a motivated Account Manager to drive brand adoption and expansion of Amazon’s Product Support (PLS) program across multiple marketplaces, across North America and Europe. This role will play a crucial part in helping brands enroll and optimize their product support offerings—spanning setup, troubleshooting, warranty services, replacement parts, trade-ins, and recycling solutions—to improve the customer experience, reduce returns, and enhance product sustainability. The Account Manager will work closely with the Customer Insights Program (CIP) lead to prioritize target brands and products. With guidance from their local manager, they will partner with the Selling Partner Program (SIP) counter parts, Enrollment & Operations Program (EOP) counterparts, and collaborate with internal stakeholders team counterparts (AMs, VMs, CSMs, Sales Reps, and Marketing Teams) to execute outreach campaigns, drive enrollment, and increase coverage and quality of PLS. Key job responsibilities Brand Prioritization & Targeting Leverage insights from the CIP program to identify high-priority brands and products for PLS expansion. Analyze return trends, defect drivers, and customer engagement metrics to develop targeted outreach plans. Brand Engagement & Awareness Partner with the SIP program lead to execute multi-channel brand engagement strategies, including email campaigns, webinars, training sessions, and one-on-one consultations. Educate brands on how to enroll and manage product support on Seller Central (SC) and Vendor Central (VC) using self-serve tools. Highlight the benefits of Amazon’s AI assistant (Rufus), Get Product Support (GPS) button, and performance reporting in enhancing product support. Work closely with brands to co-develop sustainability solutions for extended product support beyond two years. Stakeholder Collaboration Build strong relationships with AMs, VMs, CSMs, and Sales Teams to align PLS messaging across all touchpoints. Collaborate with internal teams to ensure smooth onboarding and support for brands needing deeper integration. Performance Tracking & Reporting Monitor PLS enrollment trends and adoption rates across brands and marketplaces. Gather and synthesize Voice of Seller (VOS) insights to inform feature enhancements and drive continuous improvement. Provide regular reporting on brand engagement impact and adoption rates. Basic Qualifications 1+ years of program or project management experience Knowledge of SQL and Advanced Excel (Array and Statistical formulas) Experience using data to influence business decisions 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 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 - Amazon Dev Center India - Hyderabad - A85 Job ID: A3036807

Join our dynamic AI/ML Solutions Team to elevate your analytics career and drive business growth. As an Analytics Solutions Senior Associate within the AI/ML Solutions Team, you will transform data into insights that drive business strategies. You will support metric reporting dashboards, enabling Product teams to achieve strategic objectives and ensure compliance with all controls, policies, and procedures. Job Responsibilities: Develop an understanding of existing process flows for Data Owners to prioritize data demands through reporting and analysis. Implement data-driven dashboards to streamline processes and boost efficiency. Utilize tools like Snowflake, SAS, Python, and Alteryx to extract and analyze data, turning it into actionable insights. Integrate data from various sources to identify trends and patterns for strategic planning and CEO-level reporting. Create and maintain reliable reports utilizing Snowflake, SAS, Python, Alteryx, and other ETL tools to effectively communicate insights and tell compelling stories. Required Qualifications, Capabilities, and Skills: Bachelor’s degree in a quantitative discipline with 3 years of professional experience in a data-driven environment. Proficiency with data analysis and visualization tools, e.g., Snowflake, SAS, Python, Alteryx, Tableau, Excel, PowerPoint. Excellent communication and presentation skills, attention to detail, problem-solving, analysis, intellectual curiosity, continuous improvement, risk management.

- 2+ years of sales or account management experience - 2+ years of digital advertising and client facing roles experience - Experience with Excel - Experience analyzing data and best practices to assess performance drivers More than 300 million customers shop in Amazon’s store, and every day, customers browse, purchase, and review products sold by third-party sellers right alongside products sold by Amazon. Since 2000, Amazon has offered this remote shelf space to individuals and companies of all sizes, helping them reach hundreds of millions of customers, build their brands, and grow their business. Fast-forward to the present day, and these third-party seller products account for more than half of all units sold in our store. As a Customer Success Manager (CSM) you would be a part of Strategic Account Services (SAS) Team of Retail Business Services, you will have the exciting opportunity to help shape and deliver on a strategy for managing Amazon Seller Partners. The SAS Core Program helps small and medium-sized businesses on Amazon. Our team of consultants provides strategic advice with a data-driven, collaborative and customer-focused approach. Our consultants focus on topics like Portfolio Optimization, Product Presentation, Advertising Strategy, Promotions, Fulfillment Strategy, and Brand Building. As a strategic business consultant, you will advise a portfolio of 10-15 businesses and help them grow fast by mastering the fundamentals of selling on Amazon. Your objective is to support Selling Partners to drive their business growth and program satisfaction by working backwards from their individual targets and developing a roadmap together with your Selling Partners. In addition, you use your analytical know-how to proactively identify untapped potential of each Selling Partner. Given the early stage of this program, you will have the opportunity to take ownership in various projects, help evolve the program and develop expertise in a focused topic area. You will also closely collaborate with Amazon colleagues based in USA. Regular shift timing for this role would be 4 PM to 1 AM IST. About Amazon Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from website to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. Key job responsibilities • Manage a portfolio of 10-15 Sellers to drive sustainable revenue growth, based on a solid understanding of marketplace programs, tools and processes. • Analyze customer data on the efficiency of listings, selection, supply chain, advertising, and deals and provide strategic recommendations to maximize the sellers’ potential. • Implement and track metrics for recording the success and quality of the sellers in your Seller portfolio. Use key metrics to guide your work and uncover hidden areas of opportunity. • Build and execute on a joint business plan that delivers on key business opportunities and relevant KPIs for the sellers and Amazon. • Conduct deep dive analysis on seller issues and publish recommendations and action plans based on data to improve seller experience. • Success will be measured by the performance of your sellers on input metrics and impact on creating a great customer & seller experience. • Develop a thorough understanding of the Amazon Marketplace ecosystem. Manage additional projects around our newly launched Paid Service, which includes process improvements, tool and content development, competitive analysis, and sales analysis. • Conduct regular WBRs, MBRs with the sellers, highlight business metric performance and building action plans. Regular shift timing for this role would be 4 PM to 1 AM IST. A day in the life • We fill the gap for sellers by providing consultative services as Amazon experts. Internally, we collaborate with a fabulous team across USA to develop our SAS Core program as we deliver it. • As a Customer Success Manager we work with smaller, younger, and more innovative businesses that sell on Amazon. We provide sellers with consulting on various aspects that contribute to faster growth on Amazon, including support with their supply chain, merchandising, selection & conversion and analytics. • As a Customer Success Manager, you will have the opportunity to work with 10-15 small and medium enterprises within the Amazon Marketplace and work closely with them to support them in their strategic growth. Experience analyzing key open issues and resolution metrics for each of the managed accounts Experience in relationship management within technology, start-ups, or SaaS Platforms 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.

DESCRIPTION Rest of World (ROW) Transportation Execution team in Hyderabad is looking for an innovative, hands-on and customer-obsessed BIE for its Analytics function. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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. Job details IND, TS, Hyderabad Supply Chain/Transportation Management

Job Description First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities.

About the job An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials. The Clinical Data Curator Specialist (CDCS) is responsible for the maintaining, organizing and improving the accessibility of clinical data to support Advance Analytics having expertise in Data Manipulation, Data extraction, Data Optimization, Data Visualization etc. Understanding of AI fundamentals with knowledge of Machine learning. This role will involve working closely with a group of core Data Scientists to ensure accuracy, completeness, and relevance of the data that will used for analysis. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main responsibilities: Data Inventory and Organization : Maintain a comprehensive inventory of clinical data sets to ensure clear structure and long-term usability. Implement best practices for data organization and governance. Collaborative Problem Solving : Work closely with data scientists to understand data requirement and quality standards, collaborate with digital to enhance and optimize the data pipelines and integration processes. Data Extraction and Curation : Extract, curate, and prepare clinical data sets to ensure they are fit for purpose and adhere to data governance standards. Enhance data quality for use in advanced analytics. AI/Machine Learning : Hands on experience in Machine Learning and its application in clinical trials to derive meaningful insights from data. Risk Based Quality Assurance : Implement and continuously improve a risk-based quality assurance process. Ensure proper documentation of datasets used for analysis to safeguard data integrity and ensure reliable results. Develop code/workflows and optimise existing ones : Leverage domain expertise and technical knowledge to continually enhance existing code and develop new one as per changing requirements. About you Experience : Experience in a Clinical Research environment (CRO or Pharma). In depth knowledge of clinical data programming using SAS - Base, Macros, SQL/ Python/R and experienced in handling data from multiple data sources. Soft and technical skills : Learns and adapt quickly when facing new problems. Think critically and use rigorous, objective and pragmatic methods to solve multidimensional problems with effective and timely solutions. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Proficiency in programming languages (either SQL, Python, Advance SAS or R). A professional certification will be a nice to have. Hands on experience in data wrangling, data extraction and manipulation from diverse input data sources using advance SQL concepts. In depth knowledge of optimizing queries and joins to efficiently process large datasets of varying degree of complexity. Familiarity with machine learning (using Python packages) and their application in clinical trial In depth understanding of clinical trial related documents and clinical knowledge, e.g., Protocol, SDS, CRF and the ability to churn both structured and unstructured data to generate meaningful output. Strong analytical skills with an attention to detail. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Education : Bachelor’s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences) Languages : Strong English skills (verbal and written), ability to exchange fluently in a global environment. Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team A team that driving the innovation of the monitoring activities that align with future need “We believe that a Clinical Data Curator is not only collects data for storage, but you are key to brining data to life in an AI-driven world; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. Join us as a curator of our AI future, supported by cutting-edge technology and a collaborative team environment.”

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape. Job overview and responsibilities Reporting to the Director-Inventory Management & Strategy, the Senior Manager-Inventory Management manages the team responsible for data and analytical tools and dashboards including predicative and ad hoc reporting support The Senior Manager is also accountable for developing strategic and tactical inventory plans for rotable and expendable parts of inventory investment (OEM or PMA) s to adequately support line maintenance, airframe overhaul, base maintenance, aircraft modification activities, and cabin provisioning Manage the team in making daily strategic adjustments to station inventory levels for rotable and expendable parts to support the maintenance operations This includes, but not limited to, analyzing and establishing system service levels that support operations at the least total cost, adjusting allocations/ROPs to support service levels with expected flying and maintenance changes, being accountable for life cycle of inventory – inception through final disposition and being accountable for performance against plan Mentor team to develop in their roles and skillsets Identify opportunities to improve United's maintenance operations and provide various tech ops divisions data driven insights through analytics Build high-quality operational dashboards and reports for Tech Ops leadership, front-line management, and individual business teams throughout the organization Document the Tech Ops data landscape, maintain an inventory of reports, and plan for report consolidation, elimination, and/or improvement Monitors automation /execution planning tools driving continuous improvement through the systematic use of tools and techniques This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree Eight (8) years of experience in analytics, managing procurement activities, material requirements planning, supply chain, expediting, or similar experience At least 3 years’ experience in a leadership/supervisory role Deep understanding of data structures, relationships, and efficient transformations Familiarity with all parts of the data ecosystem - acquisition, engineering, storage, management, analysis, visualization, and deployment Knowledge and application of data visualization best practices to produce meaningful, elegant dashboards Proficiency writing complex queries and procedures using both traditional and modern technologies/languages (i.e. SQL, Python, Spark, etc.) Ability to learn what a business team does, then design a data/technology solution that connects business processes with quantifiable outcomes Exposure to JavaScript, D3, HTML, CSS / front-end development Able to lead and direct a multidisciplinary team Comprehensive understanding of material logistics and supply chain management Strong leadership, coaching and communication skills Self-motivated and engrained continuous improvement experience Strategic thinker with proven track record of implementing innovative solutions Strong project management skills with the ability to handle multiple and competing priorities Strong people skills and ability to develop internal and external relationships Working knowledge of SQL or other data query language Able to travel regularly (up to 30%) across network Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree Lean Six Sigma Green/Black Belt certification Airline, aviation or Original Equipment Manufacturer (OEM) experience Experience leading people Experience managing budgets Formal instruction in Lean Six Sigma/Continuous Improvement methodologies Experience with SAS statistical analysis Knowledge of UI/UX design principles preferred Experience with the Project Management Lifecycle (PMLC) - taking projects from envision stage through activation preferred Involvement with agile technology development preferred Background integrating data outputs into production-level IT applications preferred