5122 Sas Jobs - Page 12

You will be joining a global team within Analytics & Information Management (AIM) at Citi, where the focus is on driving data-driven transformation across various functions to provide actionable intelligence for business leaders. As part of this fast-growing organization, you will collaborate with Citi businesses and functions worldwide. Your role as a Client Remediation Data Analyst will involve managing a professional team to integrate subject matter expertise within a specific area. You will be responsible for setting standards for operational processes and developing a deep understanding of how different areas interact within the sub-function. Effective communication and diplomacy skills will be essential for guiding and influencing colleagues across various departments and regulatory bodies. Your responsibilities will include overseeing the volume, quality, timeliness, and delivery of results within your area, as well as contributing to short-term resource planning. In addition, you will play a key role as a Data/Information Management Intermediate Analyst, leveraging your expertise to solve complex problems and integrate specialized knowledge with industry best practices. Your analytical skills will be crucial in interpreting data, identifying issues, and providing valuable insights to support decision-making processes. Collaboration and effective communication will be vital as you work closely with cross-functional teams to analyze client populations and address remediation issues. As part of the CRX team, you will focus on analyzing customer remediation issues for various lines of business within the NAM region, including Cards, Retail Bank, Mortgage, and Ops. Your tasks will involve executing data remediation approaches, assessing the impact on customers and financial outcomes, conducting root cause analysis, and providing support for audit processes. By delivering routine outputs while expanding your knowledge of the broader context, you will contribute to the team's success and uphold Citi's reputation by ensuring compliance with relevant laws and regulations. To excel in this role, you should have at least 5-8 years of relevant experience, strategic thinking abilities, and proficiency in analytic tools such as SAS E-miner, SPSS, and knowledge of tools like R and Python. Familiarity with business analysis, data analysis, and platforms like SAS, SQL, RDBMS, as well as domain knowledge in banking and consumer products, will be advantageous. A Bachelor's or equivalent degree, along with experience in the banking industry, will be beneficial for this position in Decision Management at Citi. This full-time position requires a hybrid working model with a minimum of 3 days in the office per week, following CITI's HWW policy, and adhering to regular local working hours aligned with NAM schedules. Your dedication to excellence and commitment to upholding Citi's standards will play a crucial role in your success within the team. Please note that this job description offers a comprehensive overview of the role's responsibilities and requirements, with additional duties assigned as needed.,

As an Engagement Manager/Senior Manager (AVP/SM) in Analytics at EXL, you will be a key player in helping businesses enhance growth and profitability in the face of relentless competition and continuous disruption. You will work with a team of more than 50,000 professionals across various industries such as insurance, healthcare, banking, and financial services, among others. Your role will involve establishing and nurturing relationships with stakeholders, identifying new opportunities, and areas of growth. You will be expected to develop long-lasting, trusted advisor relationships with clients, provide project, client, and team management, and monitor the progress of deliverables on a daily basis to ensure timely resolution of any issues. You will brainstorm on pain areas, identify reasons for issues, diagnose inefficiencies in current processes, and find ways to resolve them. As a candidate for this position, you should hold a Bachelor's/Master's degree in computer science/engineering, operations research, or related analytics areas. You should have at least 10 years of core analytics experience with proficiency in tools such as SAS, SQL, Tableau, PowerBI, and other visualization tools. Prior consulting/implementation experience, especially with US Insurance Clients, is preferred. You should have experience in managing clients directly, conducting competitor analysis, and performing ad hoc data analysis to solve business problems. Additionally, you should possess managerial experience in leading analytics teams, including career management of offshore staff, training, and recruiting. Demonstrated leadership ability, strong analytical skills, and an entrepreneurial hands-on approach to work are essential. Working knowledge of data science, cloud technology, Python, and its libraries is beneficial. Outstanding written and verbal communication skills are required, along with the ability to work in a fast-paced, continuously evolving environment and tackle uphill challenges. At EXL Analytics, you will have the opportunity to work in an exciting, fast-paced, and innovative environment alongside experienced analytics consultants. The company invests heavily in training employees in all aspects of analytics and leading analytical tools and techniques. A mentoring program is in place to provide guidance and coaching to every employee, fostering personal and professional growth. The experiences gained at EXL Analytics pave the way for further growth and development within the company and beyond.,

Oliver Wyman is a global leader in management consulting with offices in 70 cities across 30 countries. Combining deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation, our team of 6000+ professionals helps clients optimize their business, improve IT, operations, and risk profile, and accelerate organizational performance. We challenge conventional thinking, consistently deliver innovative solutions, and have a tangible impact on clients" top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. At Oliver Wyman DNA in Gurugram, India, we partner with clients to solve tough strategic business challenges using analytics, technology, and industry expertise. Our goal is to achieve lasting results in collaboration with clients and stakeholders, driving digital transformation, creating customer-focused solutions, and optimizing operations for the future. We value personal and professional growth opportunities and aim to deliver impact globally as an entrepreneurial team. Our mission is to leverage India's high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally. By working alongside Oliver Wyman consulting teams, we aim to achieve sustainable growth and drive meaningful impact for our global client base. Our purpose is to bring together a diverse team of highest-quality talent equipped with innovative analytical tools to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We have open positions ranging from Associate Data Scientist to Director, providing talented professionals with excellent career and growth opportunities. We seek individuals with relevant experience in quantitatively intense areas to join our team. In the data scientist track, you will be responsible for managing and delivering analytics projects, designing analytics solutions, crafting models, and driving scalable high-quality solutions across industries. Your responsibilities include working with global clients, exploring large-scale data, shaping proposals, refining model insights, leading the development of statistical techniques and ML algorithms, and staying updated on emerging data science techniques. To be successful in this role, you should have a Bachelor's or Master's degree in a quantitative discipline, prior experience in data science and analytics, a passion for problem-solving through big data, impactful presentation skills, excellent communication skills, willingness to travel, and proficiency in modern programming languages and machine learning frameworks. You should also have a solid foundational knowledge of mathematical and statistical principles, familiarity with cloud storage and computational frameworks, and a collaborative team player mindset with respect for confidentiality. The interview process will include testing technical proficiency, case study, and team-fit interviews. If you are interested in joining our team, please include a brief note introducing yourself, what you're looking for in the role, and your potential value-add to our team. We are hiring for data and analytics roles across the levels from Associate Data Scientist to Director level for experience ranging from 0-15 years. In addition to the base salary, this position may be eligible for performance-based incentives, and we offer a competitive total rewards package including comprehensive health and welfare benefits.,

The Data Analyst provides analytics and decision support at a corporate level, assisting the executive staff and finance community. You will work on a team responsible for a shared reporting & analytics infrastructure and directly provide reporting, analysis, and insights to the executive teams. Leveraging various tools & analytical capabilities, you will support analysis across different functional areas of the business and their impacts on company financial performance. Gathering/developing required datasets, applying different techniques to analyze/test business hypotheses, and summarizing findings with clear data/method driven substantiation are key responsibilities. Accessing and integrating information/data from various sources into a structured environment for analytics and reporting is essential. Developing, maintaining, and tuning complex databases to ensure data availability and integrity, as well as automating integrations between data sources and processes to expedite information availability, consistency in results, and minimize costs are part of the role. Performing and documenting detailed root cause analyses, investigating and isolating issues in the code base and outlier data affecting key performance metrics are critical tasks. Developing and automating standardized reporting delivery for Executive level presentations or distribution to end users is required. Using a variety of analytical techniques to discover, identify, and conclude analysis reactively to leadership requests and proactively based on curiosity/desire to move the business forward is important. Defining and documenting core business metrics, definitions, and logic by collaborating with business teams, delivering analysis and findings to leadership and business teams, and staying updated on developments in technology, business intelligence, data warehousing, and emerging technologies are key responsibilities. Technical Qualifications: - Ability to extract and integrate data using technologies such as SQL, Snowflake, ODBC, ETL Tools, Oracle, DB2, MS Access - Familiarity with reporting/analytical apps including Oracle BI, Power BI, Tableau, SAS, Cognos, Bus Objects - Ability to automate reporting/analysis and operational processes using Python, R - Presenting information and responding to questions from senior management, department heads, and Finance/IT/Business teams - Attention to quality, reconciliation, and accuracy is crucial due to the audience often being executive level staff Education and Experience: - Bachelor's degree in computer science, Engineering, Business, or related field required (Master's in Analytics or Mathematics a plus) - 2-5 years of systems/business analysis experience; or equivalent combination of education and experience.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, contributing to a better working world for all. EY GDS Risk Consulting is a distinct industry-focused business unit offering a wide range of integrated services that combine deep industry experience with robust functional capability and product knowledge. The MENA Financial Services Risk Management (FSRM) team at EY GDS Risk Consulting Practice provides tailored risk solutions to assist clients in identifying, assessing, managing, and monitoring various financial and regulatory risks. This includes market, credit, operational, and regulatory risks arising from trading, asset-liability management, and capital markets activities. The division seeks collaborative individuals with strong ethics and attention to detail. Within FSRM, the Credit Risk (CR) team focuses on supporting clients, ranging from large domestic banks to global financial institutions, in implementing strategic, functional, and regulatory transformations across credit risk management within their banking book portfolios. Your role will involve working in diverse, multi-disciplinary teams to ensure high-quality outputs and service delivery to clients. You will be responsible for developing knowledge and implementing innovative solutions to meet clients" evolving needs. We value intellectual curiosity and a passion for driving solutions across organizational boundaries. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products focusing on lending solutions. - Design, assess, and benchmark financial risk management policies, frameworks, and methodologies across various risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics. - Monitor project progress, manage risks, and communicate effectively with key stakeholders for successful outcomes. - Mentor and support the development of junior consultants. - Review, analyze, and validate work completed by junior team members to ensure accuracy and quality. - Adapt to projects involving model audits, validation, and development, showcasing flexibility and domain knowledge. Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with a minimum of 3 years of relevant experience. - Strong foundation in statistics and econometrics. - In-depth knowledge of credit risk model development, validation, audit, and implementation in banking book portfolios. - Advanced technical skills in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to convey complex concepts clearly. - Effective multitasking skills and ability to deliver quality results under tight deadlines. Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR. - Knowledge of regulatory modeling (BASEL, CCAR, IFRS9) and exposure to regulatory stress testing processes. - Familiarity with Interest Rate Risk in Banking Book (IRRBB) and data/business intelligence reporting. - Experience with machine learning models and their practical applications. - Willingness to travel for client engagements. Join EY and be part of a culture that offers training, opportunities, and creative freedom to make a difference. Work on inspiring projects with diverse clients, from startups to Fortune 500 companies. Benefit from education, coaching, and practical experience for personal development. Control your own growth with an individual progression plan, taking on challenging assignments in a high-quality, knowledge-sharing environment. Enjoy support, coaching, and feedback from engaging colleagues, opportunities for skill development and career advancement, and the freedom to shape your role in a way that suits you. EY is dedicated to building a better working world, creating long-term value for clients, people, and society, while fostering trust in the capital markets. With diverse teams across 150+ countries, EY leverages data and technology to provide trust through assurance and help clients grow, transform, and operate across various sectors. Through assurance, consulting, law, strategy, tax, and transactions services, EY teams tackle complex global issues by asking better questions to find innovative solutions.,

As an integral part of our Data Automation & Transformation team, you will experience unique challenges every day. We are looking for someone with a positive attitude, entrepreneurial spirit, and a willingness to dive in and get things done. This role is crucial to the team and will provide exposure to various aspects of managing a banking office. In this role, you will focus on building curated Data Products and modernizing data by moving it to SNOWFLAKE. Your responsibilities will include working with Cloud Databases such as AWS and SNOWFLAKE, along with coding languages like SQL, Python, and Pyspark. You will analyze data patterns across large multi-platform ecosystems and develop automation solutions, analytics frameworks, and data consumption architectures utilized by Decision Sciences, Product Strategy, Finance, Risk, and Modeling teams. Ideally, you should have a strong analytical and technical background in financial services, particularly in small business banking or commercial banking segments. Your key responsibilities will involve migrating Private Client Office Data to Public Cloud (AWS and Snowflake), collaborating closely with the Executive Director of Automation and Transformation on new projects, and partnering with various teams to support data analytics needs. You will also be responsible for developing data models, automating data assets, identifying technology gaps, and supporting data integration projects with external providers. To qualify for this role, you should have at least 3 years of experience in analytics, business intelligence, data warehousing, or data governance. A Master's or Bachelor's degree in a related field (e.g., Data Analytics, Computer Science, Math/Statistics, or Engineering) is preferred. You must have a solid understanding of programming languages such as SQL, SAS, Python, Spark, Java, or Scala, and experience in building relational data models across different technology platforms. Excellent communication, time management, and multitasking skills are essential for this role, along with experience in data visualization tools and compliance with regulatory standards. Knowledge of risk classification, internal controls, and commercial banking products and services is desirable. Preferred qualifications include experience with Big Data and Cloud platforms, data wrangling tools, dynamic reporting applications like Tableau, and proficiency in data architecture, data mining, and analytical methodologies. Familiarity with job scheduling workflows, code versioning software, and change management tools would be advantageous.,

You will be responsible for publishing Business Health Dashboards and raising the alarm on key KPIs to help the business make informed decisions. Your role will involve supporting the business by publishing Business Dashboards, managing adhoc data requirements for Business Reviews, and extracting data for Regulatory/Statutory reporting. Additionally, you will be expected to generate business insights from data through detailed analysis and distribute Business dashboards accurately and in a timely manner. It will be your responsibility to ensure that Business Dashboards across Business verticals provide a comprehensive view and to provide strong reporting and analytical information support to the management team. You will also be required to provide recommendations to update current MIS to enhance reporting efficiency and consistency while generating both periodic and ad hoc reports as needed to support Business, Audit, and Regulatory requirements. A good understanding of Banking Products and KPIs is essential for this role, along with programming expertise in SQL, SAS (preferably Python), proficiency in Visualization Tools like QlikView/Tableau and MS Excel, and good written and oral communication skills. If you are seeking a new challenge, a great work environment, and an opportunity to advance your career, apply today to be a part of our dynamic team at Workassist. We are excited to welcome talented individuals like you who are ready to make a difference. Visit our website for more opportunities: https://bit.ly/3QBfBU2.,

As an Assistant Vice President (AVP) of Acquisition Credit Strategy within the Credit Analytics team at Synchrony, you will play a key role in major business initiatives that drive growth and productivity for Synchrony Financial. Working directly with the business, you will be responsible for developing, delivering, validating, and monitoring the performance of Acquisition strategies. This individual contributor role will require you to collaborate with cross-functional teams, leverage cutting-edge tools such as SAS and FICO AWB, and maintain regular communication with stakeholders. Reporting to the VP of Acquisition Strategy Leader, you will be an integral part of the India Credit Organization. Your primary responsibilities will include supporting enterprise-wide projects with a focus on the One Acquisition initiative for the Credit Acquisitions Program Pillar, developing strategies at portfolio, product, channel, and client levels, performing pre-implementation strategies and model testing validations, ensuring sound strategy governance, executing retail credit acquisition strategies, and conducting ad-hoc analytics as needed. Your role will also involve presenting findings to senior management, collaborating on projects across the organization, managing multiple projects simultaneously, and working on special assignments as required. To be successful in this role, you should have at least 4 years of analytics experience in the consumer credit industry, proficiency in SAS programming, strong communication skills, experience in managing multiple projects, and familiarity with model governance processes. A degree in Mathematics, Statistics, Operations Research, Economics, Computer Science/Engineering, or other quantitative majors is preferred, along with hands-on experience in Python/PySpark, a natural curiosity for driving change in consumer banking, and the ability to collaborate effectively with internal and external teams. The eligibility criteria for this role include a bachelor's degree with a quantitative underpinning and at least 4 years of experience in Analytics, ideally in support of Risk, Credit, Consumer Lending, or other relevant areas. Enhanced Flexibility and Choice are offered for work timings, requiring availability between 06:00 AM Eastern Time and 11:30 AM Eastern Time, with the remaining hours being flexible. Internal applicants are encouraged to review the mandatory skills, inform their manager and HRM, update their professional profile, and meet the eligibility requirements before applying. If you have a passion for analytics, a drive for innovation, and a desire to make a positive impact in the consumer financial services industry, this role presents a unique opportunity to contribute to Synchrony's success and advance your career in credit strategy and analytics.,

We are seeking a dedicated and skilled Data Analyst who is certified and passionate about leveraging data to drive business decisions. As a Data Analyst, your role will involve transforming data into valuable insights that can guide strategic actions. Your responsibilities will include conducting comprehensive analysis throughout the data lifecycle, from requirements gathering to design implementation. You will be tasked with developing reporting capabilities, as well as overseeing performance monitoring and quality control processes to enhance operational efficiency. Key Responsibilities: - Interpret data, utilize statistical techniques for analysis, and deliver regular reports based on findings - Design and implement databases, data collection systems, and analytics strategies to optimize efficiency and quality - Extract data from various sources and maintain database systems - Identify trends and patterns within complex datasets, offering insights for strategic decision-making - Review and cleanse data to identify and resolve code issues - Collaborate with management to prioritize business needs and information requirements - Identify and propose opportunities for process enhancements Desired Candidate Profile: - Possess 4 to 7 years of experience in the field - Minimum 3 years of experience in Capital Markets projects is required - Proficient in writing SQL queries Requirements: - Proven track record as a Data Analyst or Business Data Analyst with a minimum of 3 years of experience - Strong technical skills in data models, database design, data mining, and segmentation techniques - Familiarity with reporting tools (e.g., Business Objects), databases (e.g., SQL), and programming languages (e.g., XML, JavaScript, ETL frameworks) - Knowledge of statistics and experience with statistical packages such as Excel, SPSS, and SAS - Excellent analytical abilities with a keen eye for detail and accuracy in handling large datasets - Proficient in query writing, report generation, and presenting insights - Educational background in Computer Science, Information Management, Statistics/Mathematics, or Economics (BE/BTech, BSc/MSc),

The role of a Pricing Implementation Lead at FedEx involves ensuring timely, accurate, and quality-checked setup of discounts and pricing for large customers/accounts using FedEx Pricing systems and relevant tools. It requires transforming and optimizing pricing processes and systems for enhanced efficiency, reduced turnaround times, and diminished human intervention through process simplification and automation initiatives. As a Pricing Implementation Lead, your primary responsibilities include validating approved prices" completeness and implementing them for FedEx customers. You will specialize in facilitating pricing deployment across different FedEx operating companies, involving execution, testing, documentation, and optimizing contract administration pricing processes. Your duties will consist of entering pricing discount and rates information into FedEx enterprise pricing systems, configuring necessary parameters within the pricing systems, and auditing data entered in the pricing ecosystem. You will also be involved in planning, implementing pricing changes, and validating them for Pricing Contract administration. This role manages pricing-specific processes supporting all FedEx Enterprise Global Net Rate Pricing accounts, including Global Air Freight pricing. Collaboration with key business partners to effectively implement customers" pricing and discounting requirements, streamlining pricing processes through optimization and automation, and managing costs to achieve business efficiencies are crucial aspects of this position. To excel in this role, you must possess the ability to independently run complex projects with minimal supervision, excellent communication skills across all levels, proficiency in business process configuration and project management tasks, hands-on experience in working across complex enterprise systems, and a strong understanding of data flow and governance methodology. Additionally, technical skills in data extraction using SQL or SAS, data visualization using Power BI or Tableau, or data analysis using Advanced Excel are essential. The ideal candidate for this position would have a background as a Business Analyst, Techno-Functional Analyst, System Analyst, Implementation Analyst, Consultant, or in process-oriented roles with 6 to 10 years of relevant work experience. A Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or a similar discipline is required, while a Master's degree or PhD is preferred. FedEx is committed to fostering a diverse, equitable, and inclusive workforce and is an equal opportunity/affirmative action employer. The company values fair treatment, growth opportunities for all, and a people-first philosophy. FedEx's success is attributed to its team members, who are dedicated to delivering outstanding service to customers worldwide.,

Control Automation - Delivery Lead (C13) - SIS About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. About AIM: Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. What do we do: We simplify, streamline, and automate controls—strengthening our ability to prevent issues. Control Automation Team automates manual controls through data driven capabilities using industry standard tools & techniques in collaboration with Business, Internal Audit, Internal Citi Risk and Control and Technology. This team work with business for audit, by Identifying cases on control gaps, policy breaches and providing data evidence for audit completion. Expertise Required: Responsibility Responsible for end-to-end delivery of control testing automation tools, overseeing entire Control Testing Automation life cycle from requirement management to implementation. Responsible for developing automation solutions that are scalable and can be re-purposed. Lead a team of SMEs (Designers, Developers, Testers, solution Leads, production support etc.) Develop and implement data analytics/automation strategies to support business objectives and drive decision-making processes. Provide strategic recommendations based on data-driven insights to support business planning and resource allocation. Stay current to industry trends and emerging technologies in data analytics/ automation to constantly improve process and methodologies. Liaison with Business, R&C teams, Operations and Technology stakeholders to identify Control Testing Automation opportunities. Lead efforts to Review ARCM (Activity Risk Control Monitoring) documents to proactively identify automation opportunities. Critically Assess new tools and AI solutions, identify those that align with organizations goals and technical landscape that can be implemented in the Control Automation Area. Analytical & Project Management Skills Champion and execute controls testing automation strategic plan, suggest thought leadership ideas for target state. Good with formulating analytical methodology, identifying inconsistencies, anomalies & patterns with data. Proficient with data manipulation and problem solving to effectively work with large datasets and drive actionable conclusions. Have good knowledge of project management principles, good at stakeholder management. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency. Having productive team meetings, 1-on-1 meetings regularly with all team members Understand concerns, challenges and roadblocks team is facing and provide them all the required support to overcome the same. Extensive knowledge of automation tools and technologies with the ability to solve complex problems. Tools and Platforms Hands-on experience in SAS, SQL, Python and have strong RDBMS concepts. Good understanding on process automation. Appian, Xceptor and Tableau Proficient in MS Excel, PowerPoint, and VBA Nice to have – Experience on below: Workflow management tools like Jira, Confluence, Bit Bucket (Version Control) etc. Domain Skills Good understanding of Banking Products (Wealth, Cards, Deposit, Loans & Insurance etc.) MCA, Inherent Risk Functional Skills Business risk, controls, compliance, and data management. Knowledge of Finance Regulations, Understanding of Audit Process Soft Skills Proven leadership ability with experience in mentoring and developing a team of managers/SMEs. Should have excellent communication and inter-personal skills with ability to convey technical concepts to non-technical stakeholders. Responsible for managing resources effectively & sharing best practices. Mentoring junior members in the team Ability to thrive in a dynamic and fast-paced environment. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Proactive approach in solving problems and eye for details. A strong team player Basic Qualifications Master’s degree in information technology / Information Systems / Computer Applications / Engineering from a premier institute. BTech/B. E/MCA in Information Technology / Information Systems / Computer Applications. (Preferred) Postgraduate in – Masters in computers 13+ years of hands-on experience in developing codes on SAS, SQL, Python environment ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Responsibilities: This function covers incumbents responsible for various data activities, which include data analysis, maintenance, data quality and continuous interaction with business users to understand the requirements and convert those to the needed codes. Understanding of marketing data/Retail line of business is a plus. Day-to-day actions are focused on creating SAS codes to audit campaign data, execute campaigns ,identify deviations and analyze the correctness of the same. BAU also include reports being created and provided to business users for Retail line of business using SAS , Excel and planned migration to Tableau or equivalent approved reporting Tool. Knowledge of Autosys and Service now is an add on. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Technology Stack : Previous experience on SAS (intermediate-Expert) for creating reports /complex data sets Excel, Tableau/Equivalent reporting tool, Beginner/intermediate knowledge of: Python/Pyspark and Hadoop/Hive High attention to detail and analytical skills Logical approach to problem solving and good written and verbal communication skills ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Model/Anlys/Valid Analyst II is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Responsibilities: Qualifications: Education: Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies. Leads project in terms of development, programming, integration, testing, and validation of models. Provides analytical support on analysis and benchmarking. Prepares business as usual and ad-hoc reports in accordance with the Risk Management Teams priorities and requirements, running integrity checks on the reports and checking key numbers from other independently created reports. Participates in a project of constant improvement of risk analytics, modeling and validation systems and optimization of reports. Works on constant improvement of reporting system and optimization of Credit MIS Reports. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Demonstrated programming (SAS, SQL, R, etc.). Knowledge of tools like VBA preferable. Basic knowledge of secured/unsecured banking products and US banking. Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences. Proven analytical skills, with the ability to identify root causes and trends and anticipate horizon issues. Proficient in Microsoft Office (Word, Excel, and PowerPoint 0-2 years experience in model implementation/validation/development preferable. Bachelor’s/University degree or equivalent experience In this role, you will Build Risk Models using traditional and Machine Learning techniques. Develop these models in compliance with the Risk modeling policies and procedures. Leverage a variety of technologies such as SAS, R, Python, H2O, Spark, and more to extract the value out of the data. Deliver on all phases of development, from design through training, testing, validation, and implementation. Work with Technology, Risk policy and Governance teams to deliver decision risk models in the market Practice your presentation and articulation skills to translate the complexity of your work to all types of audience. Monitor strategies built by the Risk/Strategy team in accordance with the Risk modeling policies and procedures. Talk to policy teams to get their inputs to ensure MRM’s guidelines are met The resource would be interacting with the MRM and Policy teams on all problems pertaining to CRS portfolios. They would be working with Limitations, Root Cause Analysis and other monitoring related issues for CRS portfolios We will be thrilled to have someone who is Curious –challenges status quo, questions what they see and looks for answers when something is not intuitive Has attention to details – knows when something does not add up and is not right. Has attention to details Has ability to communicate results to diverse audiences Qualifications 3+ years’ experience in Risk Modeling or PhD degree in statistics, economics, or equivalent experience. Sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or risk models Excellent quantitative and analytic skills; ability to derive patterns, trends, and insights Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, Python, Spark) Proficient with MS Office suite Consistently demonstrates clear and concise written and verbal communication skills Self-motivated and detail oriented Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances Education: Bachelor’s/University degree in statistics, mathematics, economics, or equivalent experience. Master’s/PhD degree is a plus ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Risk Analytics, Modeling, and Validation ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Description The Retail Business Services (RBS) group is an integral part of Amazon's online product life-cycle and supports buying operations. The team’s primary role is to support the creation and enhancement of retail selection on the worldwide Amazon online catalog. The tasks handled by this group can impact online user experience. The successful Subject Matter Expert is a problem-solver, mentor and communicator with expertise in process optimizations and systems thinking. You will engage directly with multiple internal teams to drive business projects for the RBS team. You will utilize a wide range of skills and work on operational quality to independently drive the performance improvement projects. In this role you will be focused on improving the experience and satisfaction of Amazon customers (vendors/vendor managers/end customer), root cause analysis of issues and opportunities affecting the business. Key job responsibilities Develop strategies for continuous improvement in process and customer quality. Strengthen the existing process by ensuring identification of automation and upstream defect elimination opportunities. Drive process excellence initiatives, drive Kaizen events and work on new automation / solution building projects Able to drill into large amounts of data and extract meaningful business metrics. Perform data analysis on trends observed and recommend solutions to the product and Business teams Collaborate with partner teams and stakeholders across the globe to deliver on key business goals and objectives by driving consensus and building trust Demonstrates the ability to dive deep into a problem, perform root cause and corrective actions to avoid defect reoccurrence. Establishes key reports for functional area Able to write , well-structured and detail-oriented documents in a clear, concise and audience-specific format The Candidate Is/has Aptitude and interest for Upstream Defect Elimination. Ability to identify, prioritize and coordinate work streams as necessary including prioritizing, scheduling, time management, and meeting deadlines High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision About The Team The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience. Basic Qualifications 1+ years of program or project management experience Experience using data to influence business decisions 1+ years of interacting with customers/stake holders experience Bachelor's degree Knowledge of MS office. Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. Preferred Qualifications Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience back office operations, escalation management and troubleshooting environments Experience working in e-commerce / retail / supply chain / financial services business Worked in a global client facing role. Six sigma green belt certified ISO 9001 lead auditor certified Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3044369

1-SIS JD. Analytical Skills End-End Automation, Data analysis & Data Quality Generate actionable Business Insights Coming up with automated Techniques to remove manual touch points Tools and Platforms Basic- Intermediate in SAS, SQL, Tableau, Appian, Xceptor, Mainframes Proficient in MS Excel, PowerPoint, and JIRA/Confluence Nice to have – Experience one of the below technologies. SAS on Mainframe Workflow management tools like Jira, Confluence, Bitbucket etc. Domain Skills Good understanding of Banking Products (Wealth, Cards, Deposit, Loans & Insurance etc.) Functional Skills Nice to have - Knowledge of Finance Regulations, Understanding of Audit Process Soft Skills Should have good communication and inter-personal skills Ability to thrive in a dynamic and fast-paced environment Proactive approach in solving problems and attention to details A strong team player Basic Qualifications Master’s degree in information technology / Information Systems / Computer Applications / Engineering from a premier institute. BTech/B. E/MCA in Information Technology / Information Systems / Computer Applications. (Preferred) Postgraduate in – Masters in computers 1-5.5 years of experience in Development/Production Support – identifying production failures and fixing issues towards resolution involving codes in SAS & SQL environment

Working with Us Challenging Meaningful Life-changing Those aren't words that are usually associated with a job But working at Bristol Myers Squibb is anything but usual Here, uniquely interesting work happens every day, in every department From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams Take your career farther than you thought possible, Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives Read more: careers bms /working-with-us , Key Responsibilities Project Responsibilities: Provides comprehensive programming leadership and support to clinical project teams and vendors, including deployment of programming strategies, standards, specifications and programmed analysis to comply with regulatory requirements, SOPs and work practices Independently develops, validates, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and standards Leads / Supports the electronic submission preparation and review Develops unambiguous and robust programming specifications ( e-g ADaM specifications) Reviews key planning documents ( e-g , statistical analysis plan, data presentation plan, data review plan) to align with project objectives and ensures clarity and completeness of programming assumptions and requirements; Assesses document robustness and impact on programming activities Communicates proactively and effectively around issues and risks and contributes to its remediation Improvement Responsibilities Identifies, leads, and supports opportunities to enhance processes and technology Communicates proactively and effectively around issues and risks and contributes to its remediation Managerial Responsibilities (if applicable): Effectively recruits, manages, develops, evaluates, rewards, motivates, and retains up to 5 direct reports, resulting in an increasing level of capabilities within GBDS Conducts objective setting, performance check-ins, and year-end discussions in compliance with BMS policies; aligns objectives, feedback and performance evaluation with manager Meets regularly with direct reports, focusing on project updates, development needs, issue resolution, and provides real-time coaching and feedback; holds staff accountable for quality and timeliness of programming activities; ensures staff is compliant with training requirements Communicates with manager regarding promotions, performance concerns, and retention risks Builds and maintains a network with stakeholders and peers to ensure cross-functional strategies and objectives intertwine and build upon each other to achieve results Skills, knowledge, and experience Minimum Requirements Bachelor's degree in statistics, biostatistics, mathematics, computer science or life sciences required At least 8 years programming experience in industry including support of significant regulatory filings Proficient knowledge of drug development process, clinical trial methodology, regulatory guidance, industry standards, statistical concepts, and medical terminology used in the analysis and submission of clinical data Broad expertise in statistical programming and in developing computing strategies In-depth understanding of clinical data structure ( e-g CDISC standards) and relational databases Demonstrated proficiency in using SAS to produce analysis datasets and TFLs and in using other software tools and applications ( e-g MS office, XML, Pinnacle 21) Demonstrated ability in processing of upstream data ( e-g multiple data forms, workflows, eDC, SDTM); Demonstrated ability in providing deliverables to meet downstream requirements, ( e-g ADaM, TFLs, e-submission components) Demonstrated ability to work in a team environment with clinical team members Preferred Requirements: Management experience supervising technical professionals If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway You could be one step away from work that will transform your life and career, Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science?, every BMS employee plays an integral role in work that goes far beyond ordinary Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues, On-site Protocol Responsibilities BMS has an occupancy structure that determines where an employee is required to conduct their work This structure includes site-essential, site-by-design, field-based and remote-by-design jobs The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function, BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms Visit careers bms / eeo -accessibility to access our complete Equal Employment Opportunity statement, BMS cares about your well-being and the well-being of our staff, customers, patients, and communities As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters, BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area, If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers bms /california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations, Show

Description The Retail Business Services (RBS) group is an integral part of Amazon's online product life-cycle and supports buying operations. The team’s primary role is to support the creation and enhancement of retail selection on the worldwide Amazon online catalog. The tasks handled by this group can impact online user experience. The successful Subject Matter Expert is a problem-solver, mentor and communicator with expertise in process optimizations and systems thinking. You will engage directly with multiple internal teams to drive business projects for the RBS team. You will utilize a wide range of skills and work on operational quality to independently drive the performance improvement projects. In this role you will be focused on improving the experience and satisfaction of Amazon customers (vendors/vendor managers/end customer), root cause analysis of issues and opportunities affecting the business. Key job responsibilities Develop strategies for continuous improvement in process and customer quality. Strengthen the existing process by ensuring identification of automation and upstream defect elimination opportunities. Drive process excellence initiatives, drive Kaizen events and work on new automation / solution building projects Able to drill into large amounts of data and extract meaningful business metrics. Perform data analysis on trends observed and recommend solutions to the product and Business teams Collaborate with partner teams and stakeholders across the globe to deliver on key business goals and objectives by driving consensus and building trust Demonstrates the ability to dive deep into a problem, perform root cause and corrective actions to avoid defect reoccurrence. Establishes key reports for functional area Able to write , well-structured and detail-oriented documents in a clear, concise and audience-specific format The Candidate Is/has Aptitude and interest for Upstream Defect Elimination. Ability to identify, prioritize and coordinate work streams as necessary including prioritizing, scheduling, time management, and meeting deadlines High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision About The Team The RBS team is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team’s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience. Basic Qualifications 1+ years of program or project management experience Experience using data to influence business decisions 1+ years of interacting with customers/stake holders experience Bachelor's degree Knowledge of MS office. Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. Preferred Qualifications Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience back office operations, escalation management and troubleshooting environments Experience working in e-commerce / retail / supply chain / financial services business Worked in a global client facing role. Six sigma green belt certified ISO 9001 lead auditor certified Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - BLR 14 SEZ Job ID: A3044373

Embark on a transformative journey as a Senior Commercial 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, This role is within the Commercial analytics team where the expectation is to build, maintain and develop analytical capabilities that help drive value-add initiatives to the Global Transaction banking organisation The role requires strong stakeholder management where there is a need to work with several stakeholders ranging from peers to SLT members to drive positive change to clients and the company The role expects the candidate to be inquisitive on data and challenge data outcomes they will ultimately shape future opportunities and trends Strong communicator and a valued partner are essential, To be a successful Commercial Manager Analyst you should have experience with: Experience of working with a range of stakeholders and building effective relationships across the business and geographies, Strong knowledge of SAS and SQL, Excellent communication and stakeholder management skills, Ability to articulate technical findings in business terms and demonstrate value to stakeholders, Other Highly Valued Skills May Include Familiarity with AWS, Proficient user of SAS and or SQL, Knowledge of Python (use), Challenge data outcomes, Ability to articulate analytical insight that shapes change and influences stakeholders, 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 Noida location, 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, Show

Working with Us Challenging Meaningful Life-changing Those aren't words that are usually associated with a job But working at Bristol Myers Squibb is anything but usual Here, uniquely interesting work happens every day, in every department From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams Take your career farther than you thought possible, Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives Read more: careers bms /working-with-us , Key Responsibilities Project Responsibilities: Provides comprehensive programming leadership and support to clinical project teams and vendors, including deployment of programming strategies, standards, specifications and programmed analysis to comply with regulatory requirements, SOPs and work practices Independently develops, validates, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and standards Leads / Supports the electronic submission preparation and review Develops unambiguous and robust programming specifications ( e-g ADaM specifications) Reviews key planning documents ( e-g , statistical analysis plan, data presentation plan, data review plan) to align with project objectives and ensures clarity and completeness of programming assumptions and requirements; Assesses document robustness and impact on programming activities Communicates proactively and effectively around issues and risks and contributes to its remediation Improvement Responsibilities Identifies, leads, and supports opportunities to enhance processes and technology Communicates proactively and effectively around issues and risks and contributes to its remediation Managerial Responsibilities (if applicable): Effectively recruits, manages, develops, evaluates, rewards, motivates, and retains up to 5 direct reports, resulting in an increasing level of capabilities within GBDS Conducts objective setting, performance check-ins, and year-end discussions in compliance with BMS policies; aligns objectives, feedback and performance evaluation with manager Meets regularly with direct reports, focusing on project updates, development needs, issue resolution, and provides real-time coaching and feedback; holds staff accountable for quality and timeliness of programming activities; ensures staff is compliant with training requirements Communicates with manager regarding promotions, performance concerns, and retention risks Builds and maintains a network with stakeholders and peers to ensure cross-functional strategies and objectives intertwine and build upon each other to achieve results Skills, knowledge, and experience Minimum Requirements Bachelor's degree in statistics, biostatistics, mathematics, computer science or life sciences required At least 8 years programming experience in industry including support of significant regulatory filings Proficient knowledge of drug development process, clinical trial methodology, regulatory guidance, industry standards, statistical concepts, and medical terminology used in the analysis and submission of clinical data Broad expertise in statistical programming and in developing computing strategies In-depth understanding of clinical data structure ( e-g CDISC standards) and relational databases Demonstrated proficiency in using SAS to produce analysis datasets and TFLs and in using other software tools and applications ( e-g MS office, XML, Pinnacle 21) Demonstrated ability in processing of upstream data ( e-g multiple data forms, workflows, eDC, SDTM); Demonstrated ability in providing deliverables to meet downstream requirements, ( e-g ADaM, TFLs, e-submission components) Demonstrated ability to work in a team environment with clinical team members, Preferred Requirements: Management experience supervising technical professionals, If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway You could be one step away from work that will transform your life and career, Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science?, every BMS employee plays an integral role in work that goes far beyond ordinary Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues, On-site Protocol Responsibilities BMS has an occupancy structure that determines where an employee is required to conduct their work This structure includes site-essential, site-by-design, field-based and remote-by-design jobs The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function, BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms Visit careers bms / eeo -accessibility to access our complete Equal Employment Opportunity statement, BMS cares about your well-being and the well-being of our staff, customers, patients, and communities As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters, BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area, If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers bms /california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations, Show

Let’s do this. Let’s change the world. In this vital role you will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for manipulating large databases and generating reports to enable epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor’s degree and have at least two years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: Write, test and validate software programs in Unix and Databricks to produce analysis datasets and presentation output such as tables and figures, to be included in reports for submission to regulatory agencies, publications and other communications Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Write and/or review and approve analysis dataset specifications Write, test, validate and execute department-, product- and protocol-level macros and utilities Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Experience in statistical programming using SAS and SQL What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Bachelor’s degree and 2 to 6 years in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject Preferred Qualifications: Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy Global collaboration on studies to clarify and implement analyses described in Statistical Analysis Plans Project fulfillment, statistical programming, issue escalation, results delivery Statistical programming: SAS and SQL required; R and Python preferred Motivated to learn how to work with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming role Expert statistical programming knowledge using SAS or R Required: SAS Required: SQL Preferred: R Preferred: Python Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning mindset What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com

JOB_POSTING-3-72955 Job Description Role Title: AVP, Analytics Bank (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary/Purpose AVP, Analytics Bank (People Manager & Individual Contributor) is a part of India Analytics Hub (IAH). The role will be responsible for managing deposits business, provide thought leadership and drive solutions with business impact. The role will deliver high-visibility and high-impact projects, working in close collaboration with IAH and US Analytics teams to help solve key business problems with solutions that are powered by data and analytics. Key Responsibilities Proactively propose, initiate & execute strategic projects that create business impact and to facilitate decision making Lead & manage the development of team members. Mentor them on Analytical and Technical skills. Be hands on and willing to roll up sleeve to help deliver projects Develop marketing strategies aligned with bank goals to drive new applications and accounts and increase balances and retention Develop proformas to support different tests & use cases. Drive team to leverage & explore latest tools and techniques in the industry and leverage them for business growth. Initiate ideas to drive usage of open source tools Proactively discuss the projects, showcase & drive for implementation and gauge the business impact. Work with cross-functional teams to facilitate the data collection and performance measurement process and escalate issues as necessary and make contributions to research and analyses on priority projects within established guidelines. Deliver projects adhering timelines, accuracy & compliance with meticulous project management. Proactively leverage expertise of team members to deploy the resources as per skillset Proactive & regular communication with Stakeholders on Projects & People Create a team culture and interactive environment that can also incorporate fun Willing to upskill on digital tools such as Google 360 suite is required Acquire proficiency on varied data and analytic tools, software, techniques to improve current capabilities, create new analytics/data science solutions and proactively exhibit thought leadership Contribute to internal initiatives, perform other duties and/or special projects, as assigned Required Skills & Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of relevant work experience in lieu of specified degree. Minimum 4 years of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets Minimum 3 years of experience in leveraging data/analytics to drive strategy with positive outcomes Drive business growth by conceptualizing and executing strategic projects, facilitate key meetings, and mentoring the team to unlock their full potential Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Desired Skills & Knowledge 4+ years of analytics/data science experience in Financial Services Industry Experience in working SAS and exposure to Python Ability to drive initiatives Good understanding of US consumer banking business Knowledge of latest Analytics Data Visualization tools like Tableau Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of relevant work experience in lieu of specified degree. Work Timings: 2 pm to 11 pm IST The position is remote, where you have the option to work from home. 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, LPP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L08+ Employees can apply Grade/Level: 10 Job Family Group Data Analytics

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Engineer What You Will Do Let’s do this. Let’s change the world. Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value – supporting our mission “To Serve Patients”. The Amgen India Digital Technology & Innovation Data Engineer for Clinical Data Hub will be responsible for end-to-end design, development and DevOps of data pipelines for clinical data domain across technology platform and stacks. This role will leverage the latest technology to develop advanced data engineering pipeline and system solution to enable advanced data analytics for Amgen Clinical trial design and development. across various global clinical development business functions. As the results, comprehensive clinical domain datasets and systems are up-to-date and ready for advanced clinical trial design and development insight generation analytics Design, develop, and deploy data pipeline for clinical domain dataset As an infrastructure programmer, continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench) Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation Collaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps Align to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development Participate in sprint planning meetings and provide estimations on technical implementation Collaborate and communicate effectively with the product teams What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. What We Expect Of You Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline] Must Have Skills: Advanced skills in SQL, Python, and R languages programing; AWS cloud technology and databricks data lake technology stacks Proficient skills and knowledge on common AI/Machine Learning technologies. Data modeling skills, and software development lifecycle knowledge and standard processes Learning ability of new technology in the information field Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology Good to Have Skills: Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Scaled Agile Framework (SAFe) Ability to work effectively in a fast-paced, dynamic environment. Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred) Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred) Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures Certification: SAFe for Teams certification (preferred) Soft Skills: Strong communications skills in writing, speaking, presenting and time management skills Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations. Job Responsibilities Experience in retail finance or Credit card finance within a bank a big plus Perform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectives Create and maintain dashboard to track key business p&l metrics Provide informative business financial information and coordinate business financial planning and budget management Partner effectively with finance, marketing and technology and business teams Present results and recommendations clearly and concisely Required qualifications, capabilities, and skills Excellent knowledge of SQL and able to write complex sql queries. Experience in using Data extraction and Data analysis tools like SQL/Pyspark Sql/ Alteryx /Python/SAS Minimum 3 years experience working on analytical projects involving product analysis and statistical modeling Good knowledge of statistical modeling techniques related to time series forecasting, regression(line/logistic), ML model like XGBoost and NLP Have experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual analytics, streamlit etc. Excellent communication (verbal and written) skills Proficiency in Microsoft Office (especially Excel) Basic understanding of cloud ops on AWS Preferred qualifications, capabilities, and skills Bachelor s degree in Engineering required, CFA/FRM/ MBA (Finance) an advantage but not mandatory You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations. Job Responsibilities Experience in retail finance or Credit card finance within a bank a big plus Perform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectives Create and maintain dashboard to track key business p&l metrics Provide informative business financial information and coordinate business financial planning and budget management Partner effectively with finance, marketing and technology and business teams Present results and recommendations clearly and concisely Required qualifications, capabilities, and skills Excellent knowledge of SQL and able to write complex sql queries. Experience in using Data extraction and Data analysis tools like SQL/Pyspark Sql/ Alteryx /Python/SAS Minimum 3 years experience working on analytical projects involving product analysis and statistical modeling Good knowledge of statistical modeling techniques related to time series forecasting, regression(line/logistic), ML model like XGBoost and NLP Have experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual analytics, streamlit etc. Excellent communication (verbal and written) skills Proficiency in Microsoft Office (especially Excel) Basic understanding of cloud ops on AWS Preferred qualifications, capabilities, and skills Bachelor s degree in Engineering required, CFA/FRM/ MBA (Finance) an advantage but not mandatory

Career Category Clinical Job Description Let s do this. Let s change the world. In this vital role you will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for manipulating large databases and generating reports to enable epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor s degree and have at least two years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: Write, test and validate software programs in Unix and Databricks to produce analysis datasets and presentation output such as tables and figures, to be included in reports for submission to regulatory agencies, publications and other communications Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Write and/or review and approve analysis dataset specifications Write, test, validate and execute department-, product- and protocol-level macros and utilities Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Experience in statistical programming using SAS and SQL What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Bachelor s degree and 2 to 6 years in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject Preferred Qualifications: Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy Global collaboration on studies to clarify and implement analyses described in Statistical Analysis Plans Project fulfillment, statistical programming, issue escalation, results delivery Statistical programming: SAS and SQL required; R and Python preferred Motivated to learn how to work with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming role Expert statistical programming knowledge using SAS or R Required: SAS Required: SQL Preferred: R Preferred: Python Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning mindset What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com .

ROLE SUMMARY Pfizer has established a chief digital office which will lead the transformation of Pfizer into a digital powerhouse that will generate superior customer experiences that will result in better health outcomes. The Quality Lead role is to build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer. The Data Quality Lead is responsible for the modernization and expansion of Data Quality services into new domains. This role will be accountable to define the best practices for both the technologies and processes deployed and will have oversight a matrixed team of colleagues and contractors (not direct reports). These accountabilities will include responsibility for a portion of the PGS UDH deployment responsibilities on the roadmap. This role will leverage deep experience with data management to ensure processes around accuracy, quality, re-usability, formatting, cataloging and access for the digital data obtained and used across the organization. Successful candidates will be team-oriented, will demonstrate strong leadership, strategic planning, team management and consulting skills and will have experience with and visualizing large pharmaceutical datasets, directing large teams to deliver global analytic solutions. In this role, we are looking for frontrunners in cloud solutions for developing simplified quality solutions that will enable cutting-edge analytics capabilities ranging between dashboarding and deep learning. ROLE RESPONSIBILITIES Reporting to the Sr Manager Data Management Lead of Enterprise Data and Solution Engineering, the UDH Data Quality Lead will build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer. Directs cross-functional team for Data Quality services in emerging tools. Directs the portfolio of technology and implementation plans to modernize the service on cloud, leverage automation, reuse, and continuous improvement to expand into new domains. Provides oversight and direction to a cross functional team to the onboarding of new data set and PGS systems on the roadmap. Designs and implements quality assurance programs across data repositories. Create and manage semantic layer to ensure data quality assessment data is available to Adv. Analytics and in advance visualizations for downstream. Lead data standardization efforts where possible setup SLA s and responsible for key metrics that measure data quality. Maintain relationships with all data users, actively driving engagement, adoption and usage and providing processes, training and support to ensure data quality standards are maintained. Oversee data procedures for any errors or defects. Enforces all the measures to ensure an asset-oriented view, control and quality assurance of data in a company. Analyze data patterns and utilization with a constant eye toward continuous improvement. Lead data standardization efforts where possible. Establish a strong collaborative culture with peers and other functions across Pfizer Digital. Promote a culture of success, pride, performance, discipline, innovation and creativity. Build automation and AI driven process to continuously innovate and improve quality. Liaison with senior leaders and stakeholders within Pfizer to data and quality standards to meet or exceed business requirements. Creates business quality standards. Accountable for the development and ongoing leadership of data stewardship protocols to meet requirement of strategic initiatives. Analytical and critical thinking. Does not shy away from tough decisions and can articulate complex situations so that decisions can be made. Consultative skills. Is able to define and structure vaguely defined problems, and influence stakeholders via effective communication. Basic Qualifications M ust have a bachelor s degree with at five years of relevant experience. OR master s degree with three years of relevant experience. OR associate degree with eight years of relevant experience. OR Ph. D. with 0+ years of experience. Preference for advanced degree holders with a focus in strategy Analytics, Data science, Computer Science, Engineering or equivalent project-related experience 5+ years of strong multi-discipline experience, with experience in data quality concepts and technologies Proficiency in Python, SQL, and familiarity with Java or Scala. Strong expertise in developing data pipelines, data APIs and DQ rules Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment. Knowledge and understanding of data quality tools. Demonstrated ability to interact with all levels of the organization in a professional manner. Proven skills in working across diverse, cross-functional teams in solving data problems. Strong collaboration and communication skills within and across teams. Knowledge of analytic tools and platforms, e. g. Tableau, snowflake, Spark, SQL Knowledge of Big Data, data science and statistical analysis skills, e. g. R, Python, machine learning, SAS Knowledge of relational databases, information architecture, data warehousing and ETL Proactively monitors the execution of the digital data governance processes including data quality and publishes the results. Nice-to-Have Masters degree Relevant pharmaceutical industry experience Experience with Agile Software Delivery and/or Scrum Master Certification Knowledge of the pharmaceutical industry, preferably Commercial or sales and marketing Work Location Assignment: Hybrid Information & Business Tech #LI-PFE