5075 Sas Jobs - Page 6

Overview Of The Company Our client is an Indian banking and financial services company that serves the space in both the B2B and B2C market. It offers banking products and financial services for corporate and retail customers. Its portfolio includes personal banking, NRI banking, wealth management, SME, and whole banking. For HNIs and ultra HNIs, it offers an exclusive product called the privy league. It is a premium banking service that offers financial services including exclusive benefits. In 2022, the company recorded annual revenues of $8.51billion and a net profit of $1.86 billion. Job Responsibilities  Drive business/campaigns and provide solutions using data driven insights, leveraging the use of digital channels and finding business opportunities.  The role holder will be responsible for dashboards, data support, segmentation/scorecards, analytics and customer insights.  He/ She should be comfortable working with heavy datasets and should have an analytical bent of mind.  Adhere to documented process and compliance requirements.  Interact with data scientists for building analytical solutions towards objective of analytical business delivery. Interact with internal and external technology stakeholders for analytical business delivery.  Translate business requirement to technical specs/ Biz Req doc/ Functional specifications.  Work on understanding business requirement and mapping the requirement to technical availability of data.  Creation of variables and hypothesis based on business/ analytical request.  Validate the findings and prepare business presentation.  Should liaise with various stakeholders from Biz to IT on timely basis.  Knowledge of database lifecycle needed.  Understand the data sources and availability for model development.  Ensure the solution solves the business problem in the most efficient and interpretable form for business users.  Help the data scientists to understand the business problem and design a suitable solution/ model to solve it.  Implementing the solution and executing on insights - drive adoption among business users. Oversee the development of application to use the model and increase its adoption by internal marketing and incentives to the users. Job Requirements  Should be comfortable with SAS, Macros and SQL queries.  Knowledge on Python and cloud technologies  Knowledge on data visualization tools like Power BI, tableau etc.  Should have an active interest in Banking/Finance domain.  Motivated and determined candidate with a zeal to handle responsibilities and take initiatives.  Candidate must have excellent organizational skills, be level-headed, and have good interpersonal skills.  Highly logical individuals with appreciation of emerging analytical and marketing technologies.  Strong communication skills to effective interaction with business stakeholders.  Advanced presentation and write-up skills.  Analytical skills & ability to quickly understand / anticipate the business requirement and outline the business benefit  Problem solving ability

Greeting from Infosys BPM Ltd., We are hiring candidates for AML Skill. Please walk-in for interview on 6th August 25 at Bangalore Location Note: Please carry copy of this email to the venue and make sure you register your application before attending the walk-in. Please use below link to apply and register your application. Please mention Candidate ID on top of the Resume *** Process Specialist- 2Yr to 4Yrs experience: https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-EXTERNAL-221697 Interview details: Interview Date: 6th August 25 Interview Time: 09:30 AM till 12:00 PM Interview Venue: JP Nagar: Infosys BPM Limited., #785, Ground Floor Axis Sai Jyoti, 15th Cross 100 Feet Road, Sarakki, 1st Phase. J P Nagar, Bengaluru, Karnataka 560078. Landmark: Near Sindhoor Convention Centre (NOTE: No Candidate parking facility will be available Documents and things to Carry:: Carry a print out your updated resume; Carry any 2 photo Identity proof (PAN Card/Driving License/Voters ID card/Passport). All original education documents need to be available for verification. (10th, 12th, Graduation (Sem Wise Marksheet, CMM. Provisional and Original Degree) Candidates to carry mobile charger and ear/headphones to the hiring venue for in-person assessments and evaluations Note: International Experience is Mandatory. Job Level - 3A Review and analyze key elements of each AML Transaction Monitoring/Screening/KYC Due Diligence process Conducting CDD/EDD of Institutional/Retail/SME Client for Investment Bank/Commercial/Retail Bank, including New Onboarding, Remediation, Periodic Review/Refresh Ability to independently research, analyze, and recommend solutions to close open items and discrepancies Record findings and provide supporting documentation to enrich each KYC Due Diligence/Screening/AML Transaction Monitoring process Conduct follow up with internal partners to ensure timely actions on those cases that require their input Good understanding of AML/KYC terminology Perform QC Review if required Work experience of 2-4 yrs in Banking/Financial Services, preferably in Financial Crime Compliance Domain Knowledge & Experience in using internal client systems, vendor-based research tools, and open source data (e.g., Actimize, Lexis, RDC, Worldcheck, Google, criminal history database, SAS, Credit Bureau and other internal systems to review information collected on a customer Experience in working on market data aggregators e.g World Check, Lexis Nexis, Banker's Alamanac, Markit, Thomson Reuters etc. Qualification- 1. Minimum Graduation degree, apart from BCA & BSC computer science 2. 2-4 years of experience in UK or US Banking is preferred. 3. Enterprise Fraud Management 2-4 years of experience in Fraud investigation and detection specifically relating to Online Fraud Detection & Deposit Fraud Detection. 4. In depth knowledge in applications like LexisNexis, Nice Actimize 5. Intermittent knowledge in MS Excel, Power point 6. Effective communication skills Interview Location: JP Nagar Work Location: Bangalore Qualification: Graduates & Post graduation Designation: Process Specialist Job Level: 3A Shift Timings: US Shift/ Night shift (6:30PM to 3:30AM)- Work from Office Experience: 2Yr to 4Yrs Notice Period: Immediate Joiners only Mandatory to carry Smartphone and Headset for Assessment, ID proof Hardcopy. Pointers to note: Please do not carry laptops/cameras to the venue as these will not be allowed due to security restrictions. Original Government ID card is must for Security Clearance Regards, Infosys BPM Recruitment team.

Job Description We are looking for an experienced and data-driven Digital Marketing Consultant/Advisor to help elevate our online presence, optimize marketing performance, and grow our customer base. The ideal candidate will have a deep understanding of B2C marketing strategies, digital channels, performance metrics, and emerging Vibe/AI-powered marketing tools . Location: Remote Type: Full-time / Contract Experience: 3–7 years in B2C digital marketing (specifically Saas apps) Key Responsibilities Develop and implement digital marketing strategies aligned with business goals Manage and optimise campaigns across Google Ads, Meta (Facebook/Instagram), YouTube, and other digital platforms Drive B2C lead generation and conversion using performance-based strategies (PPC, Display, Remarketing, Affiliate) Apply AI-powered tools for content generation, ad targeting, email personalisation, and customer segmentation. Monitor SEO/SEM performance and continuously improve organic reach and keyword ranking Oversee email marketing, push notifications, and SMS campaigns for consumer engagement Analyse customer behaviour data to identify opportunities for engagement and upsell Manage marketing funnels, including landing page optimisation and A/B testing Collaborate with designers, developers, and content creators to ensure consistent messaging Track KPIs and ROI metrics, provide weekly/monthly reports with actionable insights Stay up to date with digital marketing trends and the competitive landscape. Requirements Bachelor's degree in Marketing, Business, or related field (MBA is a plus) 3–7 years of experience in digital marketing, preferably in B2C or e-commerce, including Saas apps Experience with AI tools in marketing (e.g., Claude, Docker, ChatGPT, Jasper, Writesonic, Midjourney, AdCreative.ai, or others). Hands-on experience with tools like Google Analytics, Google Ads, Meta Ads Manager, SEMrush, HubSpot, Mailchimp, etc. Proven track record of managing paid ad budgets and achieving performance targets Strong understanding of consumer behaviour, funnels, and data-driven marketing Excellent communication and project management skills Knowledge of basic HTML and CMS platforms. Preferred Qualities Bachelor's or Master's degree in Marketing, Business, Economics, Statistics, or a related field. Familiarity with AI-powered analytics and personalisation platforms. Proven experience as a Market Researcher or in a similar research-oriented role. Proficiency in using various research tools and methodologies. Strong analytical and data interpretation skills. Excellent written and verbal communication abilities, with the capacity to convey complex information in a clear and concise manner. Advanced knowledge of Microsoft Excel, SPSS, SAS, or other statistical software is a plus. Detail-oriented, with the ability to work independently and meet deadlines. Strong teamwork and collaboration skills to liaise with cross-functional teams. A deep understanding of market research ethics and compliance

You should have in-depth knowledge and extensive experience in deeply embedded firmware development and debugging. Your role will involve utilizing good analytical and problem-solving skills, along with hands-on experience in debug tools and Lab equipment such as Oscilloscopes, Chambers, and Controller samples. You should also be familiar with FW/SW integration on microcontrollers like ARM and ARC, and possess a good understanding of microcontroller architecture. Experience with C/C++ and assembly programming would be an added advantage. Additionally, you should have experience in scripting languages, programming tools, and environments. Previous exposure to the storage industry, particularly in SSD, HDD, storage systems, or related technologies, would be beneficial. A deep understanding of storage interfaces like PCIe/NVMe, AHCI, SATA, SAS, UFS, and eMMC is required. Knowledge of SSD/NAND Domain (SLC, MLC, TLC, QLC) and experience with sophisticated NAND flash and other non-volatile storage technologies is a plus. Your responsibilities will also include debugging, failure/root-cause analysis, and integrating firmware with software. The ideal candidate should have 3-5 years of relevant experience and hold a B.E/B.Tech degree.,

Location: Chennai, Tamil Nadu, India Job ID: R0099815 Date Posted: 2025-07-30 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): Engineering & Science Job Schedule: Full time Remote: No Job Description: The opportunity: We are advancing the world’s energy system to become more sustainable, flexible and secure whilst balancing social, environmental and economic. Hitachi Energy has a proven record and unparalleled installed base in more than 140 countries. How you’ll make an impact: Supporting Global R&D projects by adapting the HVDC base Control and Protection software (MACH) based on the provided study reports and performing the HIL (Hardware in loop) testing in the lab environment. Setting up and maintaining the lab environment for the different HVDC R&D projects. Developing Control and Protection solutions encompassing full development cycle (design to delivery) for the future HVDC technologies, ongoing HVDC projects and other business units. Performing pre studies for the proposed Control and Protection ideas using EMT tools and identifying the right solutions. Performing power system Protection studies using EMT tools based on project requirement to optimize the fault detection algorithms and setting philosophies. Developing the automated testing solutions using secondary injection test kits to perform the protection testing in the HVDC projects to improve the quality and productivity. Developing test cases using EMT tools for the testing of HVDC Control and Protection functions in the virtual environment. Functional type testing of AC protection functions as per the IEC standards using secondary injection kits and real time simulation environment and get the certification done from the authorized external laboratories. Supporting projects in resolving the issues related to Control and Protection functions. Identifying the deviations from the technical specifications from different grid owners and proposing ideas and solutions to address the same. Analyzing the competitor technologies to identify the gaps in our solutions and address the same to be ahead in the global market. Suggest new improvements, which really aids our business related to Control and Protection functions. Co-ordinating with different stake holders across the business units to get inputs to optimize the solutions for the Global HVDC projects and R&D activities. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: BE/BTECH in Electrical and Electronics Engineering. 2 to 7 years of experience in the mentioned field. Knowledge and/or experiences in at least of one of the following areas: HVDC, Electric Power System Analysis, Protection Relays, Automatic Control Theory, Power System Simulation . Should understand different Control and Protection schematics of a HV/LV electrical substation. Basic knowledge about communication protocols like IEC61850, MODBUS etc and SAS system. Should have experience in developing the test cases for the Protection function testing using secondary test kits like Omicron, Doble etc. Knowledge on PSCAD, MATLAB, or any other simulation software available for electric power system and control system and RTDS, Hyper Sim, or any other electric power system simulators is an added advantage. Knowledge about HVDC Control and Protection system will be considered as a plus. Automation of test cases using the python, Omicron etc scripts is an added advantage Strong communication and collaboration skills Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

You will be responsible for developing, maintaining, and validating internal ratings-based models for wholesale portfolios at Crisil Integral IQ's Bengaluru location. This full-time on-site role entails collaborating with stakeholders to ensure accurate modeling and enhancing model performance through continuous improvement practices. We are looking for experienced professionals with 3-8 years of IRB wholesale model development experience, possessing a proven track record in end-to-end IRB model development from inception. Candidates should have experience interfacing with banking regulators during model reviews and expertise across corporate, real estate, specialized lending, and non-bank portfolios, with proficiency in SAS/Python. Key qualifications include demonstrating successful delivery of wholesale IRB models through complete regulatory approval cycles for PD model development. Join our team and contribute to strategic transformation, risk optimization, and operational excellence in the global financial industry.,

The Banking Financial Services vertical is looking for self-motivated AI/ML/Data Science professionals with domain expertise in Banking and Financial Services (BFSI) and strong technical skills. As a Consultant or Sr. Consultant specializing in Marketing and Customer Analytics within the BFSI domain, your responsibilities will include client engagement, campaign performance measurement, and managerial oversight of analytics teams. This role is based in Chennai and requires 2 to 8 years of experience, with an immediate to 30 days notice period. Your primary skills should include proficiency in Python, SQL or SAS, and expertise in Analytics - AI/ML alongside the use of static tools. Additionally, familiarity with GEN AI is preferred. Your primary responsibility will be to drive Data-Driven Insights to Optimize Marketing Strategies. This involves utilizing Python or SAS for processing and analyzing large datasets to identify trends, patterns, and insights that enhance marketing strategy optimization. SQL will be crucial for querying structured data sources and ensuring data accuracy. You will also leverage AI/ML techniques to develop predictive models, customer segmentation, and propensity scoring for more targeted marketing efforts, as well as using static analytics tools to create detailed statistical summaries. You will be tasked with analyzing large datasets to track key performance metrics, implement fraud detection models using machine learning, and provide actionable insights to enhance decision-making processes. Developing and maintaining dashboards and reports using tools like Power BI, Tableau, or custom Python-based dashboards will be necessary for dynamic reporting of key performance indicators. Collaborating with cross-functional teams to define a robust analytics roadmap and presenting insights and recommendations effectively using data visualization techniques are additional responsibilities. You will also work on Model Development and Validation, Fraud Detection and Risk Assessment, Customer and Retail Analytics, and Campaign Performance and Optimization. The required qualifications include a degree in Accounting, Commerce, Economics, Statistics/Mathematics, or Marketing, with a post-graduate qualification in finance, economics, or accounting. Desired experience in the Banking sector, proficiency in SQL, and experience with Excel reporting and data visualization tools are preferred. Desirable skills include knowledge of marketing and financial metrics, hands-on development experience in Python/py-spark/SAS, and proficiency in regression analysis and customer segmentation. If you meet the qualifications and possess the required skills, this role offers an opportunity to contribute to the optimization of marketing strategies within the BFSI domain.,

Job Summary We are looking for a skilled SAS Visual Analytics (VA) Developer to join our team. In this role, you will be responsible for creating interactive dashboards, developing reports, and leveraging SAS Visual Analytics to provide valuable data visualization and insights. You will work closely with stakeholders to deliver user-friendly reports and dashboards that support data-driven Responsibilities : Report & Dashboard Development : Design and develop dynamic SAS VA reports and dashboards to meet business requirements. Data Visualization : Create interactive data visualizations that allow users to explore insights easily. SAS Programming : Use SAS programming for data manipulation, analysis, and customization of reporting solutions. Collaboration : Work closely with business analysts and other teams to ensure the reports and dashboards meet organizational needs. Performance Optimization : Ensure reports and dashboards are optimized for performance, ensuring scalability and user-friendliness. User Support & Training : Provide ongoing training and support to end-users for effective report : Strong experience in SAS Visual Analytics for report and dashboard development. Proficient in SAS programming for data transformation and custom report creation. Expertise in data visualization techniques and best practices. Excellent communication and collaboration skills. (ref:hirist.tech)

The ideal candidate for this position should possess a Bachelor's/Master's/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or a related technical field. You should have a minimum of 7 years of relevant work experience in a similar role, particularly as a data scientist or Statistician, developing predictive analytics solutions for various business challenges. Your functional competencies should include advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. You must have a strong programming background and expertise in building models using languages such as SAS, Python, or R. Additionally, you should excel in storytelling and articulation, with the ability to translate analytical results into clear, concise, and persuasive insights for both technical and non-technical audiences. Experience in working with large datasets, both structured and unstructured, is crucial, along with the capability to comprehend business problems and devise optimal data strategies. Your responsibilities will encompass providing solutions for tasks like Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, and Price Optimization. It would be advantageous if you have experience working with big data platforms such as Hadoop, Hive, HBase, Spark, etc. The client you will be working with is a rapidly growing VC-backed on-demand startup that aims to revolutionize the food delivery industry. The team values talent, ambition, smartness, passion, versatility, focus, hyper-productivity, and creativity. The primary focus is on ensuring exceptional customer experience through superfast deliveries facilitated by a smartphone-equipped delivery fleet and custom-built routing algorithms. The company operates in eight cities across India and has secured substantial funding to support its expansion. If you meet the qualifications and are excited about the opportunity to contribute to this innovative venture, please share your updated profile at poc@mquestpro.com.,

You will be responsible for SDTM Mapping with SAS and SQL, conducting End to End SDTM Mapping activities including Spec creation, Validation and CRF. The ideal candidate should have a minimum of 3+ years of experience in End to End SDTM Mapping activities. As an SDTM Programmer, you will be working in the ITES/BPO/KPO industry with a focus on the Pharmaceutical sector. This is a full-time, permanent role under the category of Life Sciences and Pharma. Key Skills required for this role include proficiency in SDTM MAPPING ACTIVITIES. If you are interested in this opportunity, please refer to the Job Code: GO/JC/21473/2025 and reach out to the Recruiter, Sangeetha.,

You will be responsible for creating a catalogue of reports to support data cleaning activities with low to medium complexity. Your tasks will include automating manual checks, reconciliation, and program edit checks for TPV data to ensure quality. Additionally, you will develop tools and repositories to minimize data errors at the source for the collection of lab reference ranges. You will program reports to identify missing pages, detect errors at the Subject level, and create reports to measure metrics for assessing data cleaning status. Furthermore, you will be tasked with creating visualizations and dashboards to identify discrepancies and trends in EDC and TPV data. In addition to the above responsibilities, you will contribute to the implementation of cross-functional projects as part of the clinical programming roadmap. This will involve collaborating with various teams including data management, development operations, clinical, biometrics, and other relevant multi-functional teams supporting clinical trials to deliver end-user reporting needs. As a Clinical Programmer, your duties will encompass designing, developing, implementing, and validating programs created in SAS/Python/R/SQL or dashboard applications such as PowerBI/Spotfire/MicroStrategy to process, analyze, and report clinical trial data for review by clinical study teams. To be successful in this role, you should possess a Bachelor's degree or equivalent in computer science, life science, or statistics. You must have good programming skills and prior experience in SAS/Python/R/SQL, as well as familiarity with business intelligence technologies like Power BI and MicroStrategy. An understanding of data collection and industry data standards, EDC systems such as Medidata Rave/Inform/Veeva, and basic knowledge of the clinical development process are also required. Desirable skills include proficiency in Python/SAS/SQL programming, data visualization, and analytics using tools like MicroStrategy/PowerBI or other BI tools. Exposure to tools like Saama/SAS LSAF and knowledge of the Clinical Trial Life Cycle and Data Management domain would be advantageous. In summary, as a member of Virtusa, you will be part of a global team that values teamwork, quality of life, and professional development. You will have the opportunity to work on exciting projects, leverage state-of-the-art technologies, and collaborate with great minds in a dynamic environment that fosters excellence.,

Embark on a transformative journey as Decision Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. Deliver hypothesis-driven analysis to investigate key business issues relating to Barclays customers, markets, products and channels, and use this insight to drive the wider Retail and Business Bank’s agenda to create value for customers, colleagues, the community and the company. To be a successful Decision Analyst you should have experience with: Experience in creating business models, both financial and consumer behavioural. Experience in using innovative customer analysis to identify commercial opportunities. Experience of programming in SQL, and in additional computer languages (e.g. SAS, R, Python) desirable. Some Other Highly Valued Skills May Include Experience of statistical analysis techniques desirable. Practical experience of creating customer segmentation models, and running customer targeting. Practical knowledge of data warehouse and MI environments and practises. You may be assessed on the 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. Job location of this role is Noida. Purpose of the role To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. Accountabilities Identification and extraction of relevant data from various internal and external sources. Performing sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision-making across different business areas. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes 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 will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. 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.

Embark on a transformative journey as Valuation Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences .Our team is Responsible for leading and building automated forecasting solutions to valuate acquisition marketing investments at the partner, channel, offer, and segment level. The role will also help drive marketing investment optimization decision for the business. This role will leverage data science capabilities through operationalizing data platform and advance analytical methodologies and tools to forecast P&L and monitor model accuracy to drive the best outcome across channels and partners. To be successful in this role as a “Valuation Analyst", you should possess the following skillsets: Proficient in Python, SAS, SQL. A good knowledge of data analysis and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.). Deep understanding of Cards P&L and forecasting methodologies . Some Other Highly Valued Skills Include Experience in Credit Card / Banking, Data Science, Machine Learning and Advanced Analytics. Experience with Data visualization. You may be assessed on the 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 our Noida office. Purpose of the role To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. Accountabilities Identification and extraction of relevant data from various internal and external sources. Performing sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision-making across different business areas. 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.

You will collaborate with stakeholders, including Domain Leads in Operations, IT, and Data, to understand the business needs and shape the vision and roadmap for data-driven initiatives aligned with strategic priorities. You will contribute to the development of the program vision and communicate the product and portfolio vision to your team. Working closely with data scientists, engineers, and designers, you will ensure products are built efficiently, meet user needs, and provide actionable insights. As a Data Product Owner, you will analyze data sources, data technologies, and vendors providing data services to leverage in the data product roadmap development. You will create necessary ER diagrams, data models, PRD/BRD to convey requirements and be accountable for developing and achieving product level KPIs. Managing data products with a moderate degree of strategy, scope, and complexity, you will ensure data accuracy, consistency, and security by establishing data governance frameworks and implementing data management best practices. In this role, you will collaborate with technology and business leadership to align system/application integrations inline with business goals and priorities. You will own and maintain the product backlog, prioritize its contents, and ensure clear, actionable user stories. Additionally, you will set priorities, actively participate in squad/team quarterly planning, and work closely with the agile working group to clarify business requirements, remove roadblocks, and support alignment around product strategy. Monitoring and maintaining the product health, supporting long-term product viability and efficiency, you will balance long and short-term costs with desired outcomes. You will analyze and report on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product. Understanding regulatory, compliance, and industry constraints on the product, you will negotiate with internal and external teams to ensure priorities are aligned across squads/teams both within and outside the portfolio. To qualify for this position, you should hold a Bachelor's degree in computer science, Business Administration, or related field, with a Master's degree preferred. You must have a good understanding of data technologies such as databases, data warehouses, and data lakes, along with proven experience of 5+ years as a Data Product Owner, Data Product Manager, or similar role in data or software development. Strong understanding of Agile methodologies, including Scrum and Kanban, and proficiency in programming languages such as Python, R, SQL, or SAS, and cloud technologies like AWS, Azure, are essential. Excellent analytical, problem-solving, decision-making, communication, negotiation, and interpersonal skills are required, along with proficiency in product management tools and the Microsoft Office Suite. Familiarity with UX/UI design principles, software development lifecycle, and software engineering concepts is a plus, as well as experience in insurance, particularly Commercial & Specialty Insurance products. Experience with product management tools such as JIRA, Trello, or Asana, and proficiency in Microsoft Office Suite is preferred. Familiarity with UX/UI design principles, software development lifecycle (SDLC), and software engineering concepts is a plus. Agile practitioner capabilities and experience working with or in Agile teams are highly valued. Strong teamwork, coordination, organization, and planning skills are necessary. Ability to capture complex requirements in a prioritized backlog and managing stakeholders" requirements are vital for success in this role.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team to provide a comprehensive view. As a Loss Forecasting Modeling Analytics Associate in the Consumer Credit Risk Management team, your primary responsibility will be to execute credit loss forecasting models. You will diagnose model accuracy and lead analyses to evaluate relationships and patterns that impact the loss performance of our product portfolio. Your role will involve spearheading the control framework within our function and executing processes through analytical insights, predictive analysis, and newer technology applications. This position presents an exciting opportunity for skill development in a fast-paced setting. The Loss Forecasting team within Consumer Credit Risk Management is tasked with providing reasonable forecasts of delinquencies, charge-offs, and recovery of charged-off assets throughout the year. These forecasts are essential for regulatory exercises such as CCAR, capacity planning, and budgeting in collaboration with P&A, collections, and recovery teams. Additionally, the team monitors the portfolio's health and communicates emerging trends to stakeholders and senior management. **Job Responsibilities:** - Execute credit loss forecasting models to predict credit losses and allowance for the product portfolio, supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite, and Budget. - Present the results and levers of loss forecasting to senior management and internal stakeholders. - Diagnose model parameters and collaborate with the modeling team to propose changes for accuracy at granular segments. - Engage in cross-functional communications with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast. - Conduct macro sensitivity analytics, loss, and allowance attribution, deep dives, and storyboarding. - Lead advanced analyses to evaluate relationships and patterns driving loss performance. **Required Qualifications, Capabilities, and Skills:** - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training. - Minimum of 4 years of banking analytics, product/revenue analytics, FP&A, and/or consulting experience for a senior Associate role. - Minimum of 2 years of banking analytics, product/revenue analytics, and/or consulting experience for an Associate role. - Proficiency in Microsoft Office suite of products (Advanced Excel, VBA, and PowerPoint). - Strong analytical and problem-solving skills with the ability to interpret large amounts of data and understand its operational and financial implications. - Well-organized and structured with excellent communication and presentation skills. **Additional Qualifications:** - Working knowledge of regulatory modeling (IFRS9/CECL/CCAR). - Credit risk experience in one or more US consumer credit portfolios. - Working knowledge of P&A, product analytics, statistical modeling, and model execution. - Actual work experience in Python/SAS/SQL/Alteryx/Cloud application architecture. In summary, this role offers a challenging yet rewarding opportunity to contribute to credit loss forecasting models and play a crucial role in the Consumer Credit Risk Management team.,

As a SAS / Mainframe Developer at Deutsche Bank in Pune, India, you will play a crucial role in the digital transformation journey of the bank. Deutsche Bank is focusing on agile software development to enhance agility and reduce time to market without compromising on quality. Your responsibilities will involve Legacy design and development, enforcing Continuous Integration practices, and collaborating with a team of developers within a Squad. Your primary responsibilities will include designing and developing application code, implementing technical solutions, and configuring applications to address business problems. You will actively participate in the design and architecture of applications, propose suitable solutions, promote reusability of existing components, and contribute to the transformation program of the company. Additionally, you will work on applications based on mainframe technology such as JCL, Cobol, CICS, DB2, and MQ. As a Senior Engineer, you will be responsible for knowledge internalization, functional and technical design, programming, project enhancements, maintenance of applications, ensuring IT Application Life Cycle standards, aligning application changes with the strategy, managing risks and issues, and ensuring operational availability and stability. In terms of skills and experience, you should have at least 5-10 years of experience in SAS development and maintenance of banking applications. Strong knowledge and experience in Mainframe programming, Base SAS, Macros, debugging, tuning, and report generation are essential. Proficiency in Cobol, SQL, DB2, Websphere MQ, CICS, JCL, and TSO is required. Experience in system architecture, application design, web technologies, problem-solving, communication, and working in a collaborative scrum environment will be beneficial. To qualify for this role, you should hold a degree in Engineering, Telecommunications, IT, or similar field. A Master's degree is recommended. English proficiency, knowledge of banking operations, JCL/Cobol/CICS/DB2/MQ analysis and programming, and experience in application solutions are necessary. Strong leadership, communication skills, teamwork capacity, and the ability to work under pressure are important attributes for this position. Deutsche Bank offers a supportive environment with training, coaching, and development opportunities to help you excel in your career. The bank promotes a culture of continuous learning, empowerment, commercial thinking, initiative, and collaboration. If you are looking to be part of a dynamic team driving digital innovation in the banking sector, this role might be the right fit for you.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

The App Demise programme within first direct heavily relies on Data Analysts/Engineers who possess the ability to analyze, understand, and map existing data repositories and flows. This role entails working with unfamiliar data, conducting investigations based on high-level requirements, and taking initiative to work independently without close supervision. Effective communication with business and technical team members at all levels is crucial for completing and reporting on analysis. Key Responsibilities: - Mapping existing data and flows with legacy systems - Producing data extracts to support Business Analysts - Mapping data on inbound and outbound interfaces - Reviewing data in legacy systems to understand characteristics, lineage, and redundancy Skills Required: - Strong SQL skills for ad hoc data manipulation and analysis - Excellent written and verbal communication skills - Task ownership and ability to work proactively and independently - Strong Excel skills for data management - Working knowledge of Terradata - Data lineage experience with end-to-end traceability and understanding of transformations - Systems analysis and data analysis skills - Good knowledge of data-driven processes and data design - Working knowledge of SAS would be advantageous - Understanding of Agile working and project lifecycle - Ability to prioritize according to frequently changing project demands - Understanding of related first direct / HSBC systems is an advantage About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. Join a global team of 27,000 professionals dedicated to providing exciting projects, opportunities, and working with state-of-the-art technologies. Collaboration, a dynamic environment, and fostering excellence are at the core of Virtusa's culture.,

As a Statistical Modeller - Clinical, you will be responsible for utilizing your expertise in clinical trials and clinical data monitoring to develop and implement statistical models. Your role will involve working with Bayesian and Frequentist models, as well as handling EDC, CTMS, ePro, and eCOA systems. You will also be involved in RBQM, signal detection, KRI analysis, and outlier detection. In this position, a strong understanding of GCP ICH E6/8 and EMA Guidelines is essential. Proficiency in statistical software such as SAS, R, JMP Clinical, and Python will be required for data analysis and modelling. Experience with visualization tools like Tableau and Power BI will also be beneficial. Additionally, familiarity with project management tools like Jira and Confluence is necessary to collaborate effectively with cross-functional teams. An advanced knowledge of R, HTML, and GitHub will further support your role in this dynamic environment.,

The AVP, Analytics- Loyalty at Synchrony is a crucial role within the India Analytics Hub (IAH) where you will focus on delivering solutions powered by data and analytics to solve business problems related to loyalty. As an individual contributor, you will collaborate with various functional teams to consolidate and develop an inventory of loyalty programs. Your responsibilities will include driving data-driven insights for partners, providing industry benchmarks, and ensuring the effectiveness of loyalty programs. Your key responsibilities will involve acting as a business consultant to bridge the gap between Rewards C.o.E, IT, and Analytics Teams, leading the development of a scalable Loyalty Inventory solution, delivering comprehensive loyalty reporting through the Synchrony BI platform, and leading strategic initiatives from planning to execution. You will be required to possess a degree in Statistics, Mathematics, Economics, Engineering, or any quantitative stream with a minimum of 6 years of relevant analytics/data science experience. The ideal candidate will have advanced proficiency in SQL/SAS tools, MS-Excel, and MS-PowerPoint, along with the ability to solve complex technical and business problems independently. Additionally, superior thought leadership, storytelling, and presentation skills are desired along with experience in digital measurement tools and systems optimization projects. This role offers Enhanced Flexibility and Choice with work timings between 06:00 AM to 11:30 AM Eastern Time and flexibility for the remaining hours. Internal applicants must meet specific eligibility criteria, inform their manager and HRM before applying, and ensure their profile is updated with an updated resume. L9+ Employees who have completed 18 months in the organization and 12 months in the current role are eligible to apply.,

The Senior/Principal Clinical Database Manager is responsible for the design, development, testing, implementation, maintenance, and support of clinical databases and applications. You will interface directly with the internal team, EDC vendor, clients, and third-party vendors to gather requirements and provide status updates. Providing operational and technical training to end users and junior staff is a key aspect of this role. Additionally, you may play a lead role in internal software projects that require specialized programming and/or scripting. To be considered for this position, you must have experience in developing and customizing clinical data management databases in a clinical, scientific, or health care discipline. A combination of related experience and a Bachelor's degree is required. You should also be a Medidata Rave EDC Certified Study Builder with experience in Rave API integration and Advanced Custom Function programming. Proficiency in Microsoft Office applications, handling various clinical research tasks, excellent organizational and communication skills, and a professional command of the English language are essential for this role. Experience in Object-Oriented Programming, scripting languages, SAS, R, SQL, CDISC standards, and clinical database management systems is also necessary. Broad knowledge of drug, device, and/or biologic development, effective data management practices, strong leadership, and interpersonal skills are key qualifications. Preferred qualifications include experience in Oncology and/or Orphan Drug therapeutic areas, proficiency in Base SAS, SAS/STAT, SAS/ACCESS software, SAS Macro programming language, advanced database management experience, and Veeva set-up experience. If you require a reasonable accommodation to complete the application process or need an alternative method for applying due to a disability, please contact Precision Medicine Group. Please be aware of potential fraudulent employment offers and note that our organization follows a formal interview process before extending any job offers.,

You are seeking a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. Your primary responsibility will be to lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Your proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential. Your role involves partnering with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. You will maintain a broad understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. It is crucial to stay current with statistical/mathematical/informatics modeling methodology and justify the methods selected. You will also lead the team independently to implement & deliver complex project assignments and provide strategic leadership to build new capabilities within the group. Additionally, you will contribute to whitepapers and articles at the BU and organization level, develop and deliver formal presentations to senior clients, and possess strong interpersonal communication, teamwork, leadership, and self-management skills. You should bring an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients. Eligibility criteria include a minimum of 4-10 years of experience in data analytics and 2-4 years of relevant experience in Healthcare/Lifesciences/Pharmaceutical domain. Technical skills required for this role include proficiency in Python or R for statistical and machine learning applications, expertise in various techniques like Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. You should be able to build & train neural network architectures and have hands-on experience in NLP & NLG. Knowledge in LLMs and Cloud Platforms like Azure, AWS, GCP is essential. Exposure to big data technologies is a plus. Basic qualifications include a B.Tech/Masters in a quantitative discipline such as Applied Mathematics, Computer Science, Bioinformatics, Statistics, Ops Research, or Econometrics. Your role will involve making the impossible possible in the quest to make life better, bringing Analytics to life, and continuously learning to maximize your impact in the field.,

About This Role Wells Fargo is seeking a Analytics Consultant In This Role, You Will Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of experience in one or a combination of the following: strategy development and evaluation, analytics, reporting. Experience with partnering and collaborating across lines of business and with operations to deploy prevention and detection strategies. BS/BTech degree or higher in a quantitative field such as applied math, statistics, engineering, physics Strong analytical skills with high attention to detail and accuracy Fraud Strategy / Fraud domain understanding experience 2+ years of SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience Demonstrated experience with Strategy development and evaluation. Ability to create documentation of process flows, business analysis and metadata, and conduct root cause analysis. Experience in Financial services or knowledge of consumer/retail financial products Demonstrated critical thinking and problem-solving skills. Desired Qualifications Knowledge and understanding of fraud detection process in banking. Predictive modeling / AI-ML basics Strong analytical skills with high attention to detail and accuracy Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously. Possesses a strong work ethic and thrives in a collaborative team environment. Excellent verbal, written, and interpersonal communication skills and demonstratable strong presentation skills; ability to tell the story to an executive audience. Engage with cross culture team members and stakeholders, and other lines of business with competing priorities. Understanding of retail branch, phone, and digital customer experience Experience working on BI Tools like QlikView or Tableau Experience with MS Office Suite (PowerPoint, Excel, Word) - intermediate at a minimum Posting End Date: 4 Aug 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-477629

Job Title: Consultant – Analytics (Full-Time) Location: Ahmedabad or Gurgaon (Hybrid) About The Role Join EXL’s Analytics team as an Analyst or Consultant and play a key role in shaping data-driven marketing strategies for U.S. clients. In this role, you will dive deep into data, build predictive models, perform campaign analytics, and deliver actionable insights that drive measurable business outcomes. This opportunity is ideal for early to mid-career professionals looking to deepen their expertise in marketing analytics, predictive modeling, and data storytelling within a dynamic and collaborative environment. Key Responsibilities Develop predictive models and segmentation frameworks to optimize direct marketing Perform campaign analytics, including performance measurement, deep-dive analyses, and post-campaign evaluations Translate complex business challenges into clear, data-driven solutions Prepare and present client-ready insights to stakeholders Collaborate across teams to support data-driven decision-making Ensure timely delivery of high-quality analytical outputs Skills & Qualifications Bachelor’s or Master’s degree with 2+ years of relevant analytics experience Prior experience in the U.S. Insurance domain is a strong plus Proficiency in Python, SAS, Excel, SQL, and PowerPoint Experience with Tableau, PowerBI, or R is a plus but not mandatory Solid grasp of key ML techniques such as regression, decision trees and ensemble methods like XGBoost Strong communication skills with the ability to simplify complex findings Detail-oriented, self-driven, and eager to thrive in a fast-paced environment

JOB_POSTING-3-72996-2 Job Description Role Title: AVP, Cloud Solution Architect (L11) Company Overview 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 #5 among India’s Best Companies to Work for 2023, #21 under LinkedIn Top Companies in India list, and received Top 25 BFSI recognition from Great Place To Work India. We have been ranked Top 5 among India’s Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among India’s Best Workplaces for Women in 2022. We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India and a co-working space in Bangalore. Organizational Overview Organizational Overview: This role will be part of the Data Architecture & Analytics group part of CTO organization. Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL). Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency. Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts. Responsible for the SYF public cloud platform & services. Govern health, performance, capacity, and costs of resources and ensure adherence to service levels Build well defined processes for cloud application development and service enablement. Role Summary/Purpose The Cloud Solution Architect – will play a key role in modernizing SAS workloads by leading vendor refactoring efforts, break-fix execution, and user enablement strategies. This position requires a deep understanding of SAS, AWS analytics services (EMR Studio, S3, Redshift, Glue), and Tableau, combined with strong user engagement, training development, and change management skills. The role involves collaborating with vendors, business users, and cloud engineering teams to refactor legacy SAS code, ensure seamless execution of fixes, and develop comprehensive training materials and user job aids. Additionally, the Cloud Solution Architect will oversee user testing, validation, and sign-offs, ensuring a smooth transition to modern cloud-based solutions while enhancing adoption and minimizing disruption. This is an exciting opportunity to lead cloud migration initiatives, enhance analytics capabilities, and drive user transformation efforts within a cutting-edge cloud environment. Key Responsibilities Lead refactoring efforts to modernize and migrate SAS-based workloads to cloud-native or alternative solutions. Oversee break/fix execution by ensuring timely resolution of system issues and performance optimizations. Engage with end-users to gather requirements, address pain points, and ensure smooth adoption of cloud solutions. Develop and deliver custom training programs, including user job aids and self-service documentation. Facilitate user sign-offs and testing by coordinating validation processes and ensuring successful implementation. Drive user communication efforts related to system changes, updates, and migration timelines. Work closely with AWS teams to optimize EMR Studio, Redshift, Glue, and other AWS services for analytics and reporting. Ensure seamless integration with Tableau and other visualization tools to support business reporting needs. Implement best practices for user change management, minimizing disruption and improving adoption. Required Skills/Knowledge Bachelor’s Degree in Computer Science, Software Engineering, or a related field. Advanced degrees (Master’s or Ph.D.) can be a plus but are not always necessary if experience is significant. Experience in scripting languages (Python, SQL, or PySpark) for data transformations. Proven expertise in SAS, including experience with SAS code refactoring and optimization. Strong AWS experience, particularly with EMR Studio, S3, Redshift, Glue, and Lambda. Experience in user change management, training development, and communication strategies. Desired Skills/Knowledge Experience with AWS cloud services. Certifications in AWS or any other cloud platform. Experience with Agile project management methods and practices. Proficiency in Tableau for analytics and visualization. Hands-on experience with cloud migration projects, particularly SAS workloads. Excellent communication and stakeholder engagement skills. Familiarity with other cloud platforms like Azure or GCP is a plus. Eligibility Criteria 10+ years of experience in data analytics, cloud solutions, or enterprise architecture, with a focus on SAS migration and AWS cloud adoption. or in lieu of a degree 12+ years of experience Work Timings: 3 PM to 12 AM IST (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 (First Formal/Final Formal, PIP) L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L9 + Employees can apply. Level / Grade : 11 Job Family Group Information Technology