83 Sas Sql Jobs

Manage and maintain document structures in SAP in accordance with organizational standards and quality management systems. Handle and organize various document types including: o Product-related service documents o Process-related documents (e.g., Work Instructions, Training Documents) Support change management activities and coordinate new version releases to ensure that updated documents are properly made available in the system. Ensure accuracy and completeness of document configuration in SAP across all stages of the document lifecycle. Collaborate with key stakeholders such as: o Document Authors o Process Managers o Document Administrators o Training (Learn4U) Administrators Apply sound knowledge of Microsoft Word, including the use of macros for formatting and efficiency. Ensure proper version control, storage, and retrieval of documentation. Support audits and inspections by ensuring document readiness and compliance with applicable standards. Qualifications & Skills Bachelors degree or equivalent 2-3 years of experience in document management activities, preferably in a regulated industry. Strong working knowledge of SAP Document Management System (DMS). Proficiency in Microsoft Word, including experience with macros. Good understanding of the document control process and a general understanding of the quality mgmt. system Attention to detail Excellent organizational and communication skills. Ability to work independently and collaboratively within a team environment. Prior experience in the Healthcare or Medical Device domain is highly desirable.

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAS Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with various stakeholders to gather and analyze requirements, creating design specifications, and ensuring that the applications align with business objectives. You will also engage in discussions with team members to refine designs and address any challenges that arise during the development process, ensuring that the final product meets the highest standards of quality and functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for application design.- Develop and document design specifications that align with business needs and technical requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics.- Strong analytical skills to interpret complex data sets and derive actionable insights.- Experience in application design and development methodologies.- Familiarity with software development life cycle and project management principles.- Ability to communicate technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in SAS Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Software Engineer XYZ (NASDAQ:XYZS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business XYZerator Framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. XYZ serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, XYZ has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. XYZ Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, XYZ Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. XYZ Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.XYZservice.com for more information about XYZ Analytics. Role & Responsibilities Overview: Create, modify and test various SQL queries, stored procedures and views for obtaining data from diverse source systems and platforms Assist in the roll-out of new SQL based applications, problem fixes, and enhancements of software Follow database best practices to improve the operational reporting environment while focusing on resolving problems raised by team members, stakeholders and end users Implement/develop ETL using SSIS and other data movement requirements using SQL Develops original and/or complex code in T-SQL/ SQL/ DENODO Design and develop new SQL code as part of an ETL process Improve SQL procedures, Window services / .NET programs which transform and load data Develop stored procedures functions using T-SQL/SQL Responsible for data profiling, source-target mappings, ETL development, SQL tunings and optimization, testing and implementation Excellent verbal and written communication skills including demonstrated ability to effectively and professionally communicate with others, including situations where you may disagree with people Candidate Profile: Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply Must have advance SQL, SSIS & Teradata knowledge Should be familiar with Github Good critical thinking and problem solving skills Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work Outstanding written and verbal communication skills, and presentation skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe What we offer: XYZ Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At XYZ Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at XYZ Analytics sets the stage for further growth and development in our company and beyond.

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Minimum 3-5 years of work experience in SAS EG and SAS CI Hands on experience in data transferring from different sources to SAS database Expertise in Data Step and Proc Step including merge statement , proc sql and macros , SAS functions Experience in automation and SAS reporting Good communication skill is must. Candidate should independently work deliver the project work as well as deal with client . Location : Any Infosys DC in India Preferred Skills: Technology->ETL & Data Quality->ETL & Data Quality - SAS->SAS - SAS Data Integration Studio

Req ID: 333994 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Industry Consulting Snr. Consultant to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Create a more detailed JD for this Credit Risk domain knowledge, Optima knowledge (important and critical) Location India Citi experience preferred especially in the Credit Risk area 5 8 years of hands-on experience in Credit Risk within banking or financial services Proven expertise and extensive experience with Optima, including advanced functionalities and reporting mechanisms Prior Citi experience in a Credit Risk role highly desirable Solid understanding of credit risk metrics (PD, LGD, EAD), scorecards, and portfolio segmentation Strong quantitative and analytical skills; experience with tools like SAS, SQL, Python, or Excel/VBA is a plus Bachelor s or Master s in Finance, Economics, Statistics, Risk Management, or a related field

About Data Axle: Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for 50 years in the USA. Data Axle has set up a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA. Roles & Responsibilities: We are looking for a Client Analyst who will be responsible for using data and analysis to support various engagements with our external Data Axle customers. The Client Analyst will own various recurring and ad hoc analysis duties for Data Axle external customers, often using a variety of data sources across Data Axle internal and client specific. Pivot between different data tools and data sets to construct a comprehensive story of This is included, but not limited to, web and mobile analytics, email and marketing performance and customer transactions. Deliverables will often require Microsoft Excel workbooks and some light Tableau visualization. Partner and interface with a variety of stakeholders to make sure analysis provided is useful and driving actionable change. Work to push the analysis forward by investigating data anomalies and highlight trends in a proactive manner. Drive innovation by recommending and measuring tests on customer marketing campaigns to increase conversion and ROI. Set the strategy for data collection methodology, analytics tools used, analysis conducted, and reports built for each client. Ensure that data collected and shared has appropriate integrity and governance and fits a standardized reporting format. Exposure to more in-depth statistical analysis the team executes for clients, including persona building, customer profiling and segmentation with eventual growth onto these types of projects. ","jobQualifications":" Qualifications: Bachelor s degree in Computer Science, Math, Economics, Statistics, or a related field. 1-3 years experience in business intelligence and analytics, with specific experience building and analyzing data using Microsoft Experience with SAS, SQL and Tableau is nice to have. High sense of urgency and ability to work well and navigate in a matrixed environment Creativity - Can formulate ways to access data and glean insights to solve business problems - will continue to hunt until an answer is found and is always eager to learn new technologies. Critical Mind - Can identify issues and turn them into opportunities. Can work well across multiple groups to achieve business outcomes based on insights found. Communication - Can explain complex concepts in simple terms to a variety of audiences. This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. ","

Responsibilities: Project task management Define project deliverables, controls and ensure adherence to these Supervise and assist the team on project execution and delivery Monitor project progress and ensure adherence to client expectation Communications, including deck writing Coordination of all sub-team efforts; Creation of project plan, define milestones, timelines, review plan with the team Delivery of output Facilitation and gathering of client feedback on problem structuring Understand and define business problems, get all background information and collect relevant data points Create solution hypothesis and get client buy in, discuss and align on end objective, staffing need, timelines and budget Effective management of frequency of feedback loop with offshore resources Build capabilities in junior team members Technical skills: Experience SAS 9.4 (base and advance) Experience SAS Viya 3.3,3.5 and 4 (base and advance) Experience in migration from SAS EG & SAS Viya: Expertise in converting .EGP file to .Flow in Viya Experienced in scheduling regular backups/restore strategies. Experienced in reading SAS logs to find out root cause issues. Experienced in preparing documentation of Installation and standard operating procedures Scheduling the jobs and monitoring for day-to-day activities, escalating problems to the tech support if any issues arise. Support end-users with access and connectivity issues. Establish a formal, regularly scheduled backup process. Working with Development and Testing teams to prioritize and handle issues to resolve quickly. Extract, transform, and load (ETL) data from various sources into SAS datasets. Perform data quality checks and implement data cleansing and validation procedures. Optimize data processing and storage for efficient performance. Soft skills: Strong work ethic and desire to product quality results Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.) Continuous Improvement mindset and approach to work product Ability to take complex subjects and simplify it to less technical individuals Provides clear documentation of processes, workflows, recommendations, etc. High level of critical thinking capabilities Organized and has the ability to manage work effectively, escalating issues as appropriate Takes initiative & is a self-starter Displays ownership of their work (quality, timeliness) Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant Candidate Profile: Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply 4+ years experience, preferably in insurance analytics Experience in working in dual shore engagement is preferred Must have experience in managing clients directly Superior analytical and problem solving skills Demonstrated leadership ability and willingness to take initiative Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe

Looking for more than 3 to 12 years of experience on SAS and SQL. Contact/WhatsApp +918297151110/Yogini@livecjobs.com * JOB IN GURGAON,PUNE,BANGALORE* Required Candidate profile Technical skills: Experience SAS 9.4 (base and advance) Experience SAS Viya 3.3,3.5 and 4 (base and advance) Experience in migration from SAS EG & SAS Viya:

As a Strategic Analytics Senior Associate, youll work with the risk team to generate thoughtful analytics and recommendations to the business concerning Fraud & Scam Risk-Prevention strategy development, implementation, operational controls, and performance monitoring. Responsibilities Develop and maintain periodic analytics to provide management with full insight into emerging fraud & scam trends and the quality of the originated accounts Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle Acquire an understanding of the operational processes (e. g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers Conduct ad hoc analytics and contribute to various projects representing Risk Management Qualifications MS degree and 3 years Risk Management or other quantitative experience preferred. Otherwise, BS degree and minimum 5 years Risk Management or other quantitative experience required Familiarity with risk analytic techniques Strong analytical and problem-solving abilities Strong written and oral communication skills Experience in delivering recommendations to senior management Adept to solving complex business problems independently Intermediate/ Advanced understanding of SAS, SQL, SAS Enterprise Miner, or other decision tree software Ability to query large amounts of data and transform the raw data into actionable management information As a Strategic Analytics Senior Associate, youll work with the risk team to generate thoughtful analytics and recommendations to the business concerning Fraud & Scam Risk-Prevention strategy development, implementation, operational controls, and performance monitoring. Responsibilities Develop and maintain periodic analytics to provide management with full insight into emerging fraud & scam trends and the quality of the originated accounts Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle Acquire an understanding of the operational processes (e. g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers Conduct ad hoc analytics and contribute to various projects representing Risk Management Qualifications MS degree and 3 years Risk Management or other quantitative experience preferred. Otherwise, BS degree and minimum 5 years Risk Management or other quantitative experience required Familiarity with risk analytic techniques Strong analytical and problem-solving abilities Strong written and oral communication skills Experience in delivering recommendations to senior management Adept to solving complex business problems independently Intermediate/ Advanced understanding of SAS, SQL, SAS Enterprise Miner, or other decision tree software Ability to query large amounts of data and transform the raw data into actionable management information

You are a strategic thinker passionate about driving solutions in financial analysis . You have found the right team. As a Financial Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams. You will provide impactful reporting, planning, and insightful analyses, accurately align costs incurred while providing internal services to intended beneficiaries, and perform detailed quantitative analysis. You will also design analytical frameworks to forecast key account performance and profitability promoters, create and enhance multi-year financial models, and partner with leadership to set ambitious yet achievable financial targets. Job Responsibilities Analyze financial data and provide insights. Serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams to deliver impactful reporting, planning, and analyses. Align costs incurred while providing internal services to intended beneficiaries accurately. Perform detailed quantitative analysis and design analytical frameworks to forecast key account performance and profitability drivers, improving forecasting methodologies. Create, maintain, and enhance multi-year financial models for the business, assessing the impact of strategic decisions and trade-offs on the P&L. Partner with leadership to set ambitious, achievable financial targets tied to long-term goals. Provide informative business financial information and coordinate business financial planning and budget management. Partner effectively with finance, marketing, technology, and business teams. Present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills CFA/CMA/CA/MBA (Finance) Minimum 1 year experience in an analytical and financial role and should have worked on Banking products Excellent communication (verbal and written) skills Superior financial modelling acumen Proficiency in Microsoft Office (especially Excel and PowerPoint) Experience in using Data extraction and Data analysis tools like SAS/SQL/R/Python Preferred qualifications, capabilities, and skills Knowledge of Tableau and Alteryx Experience in discounted cash flow valuation a plus Should be flexible to work in EMEA shifts You are a strategic thinker passionate about driving solutions in financial analysis . You have found the right team. As a Financial Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams. You will provide impactful reporting, planning, and insightful analyses, accurately align costs incurred while providing internal services to intended beneficiaries, and perform detailed quantitative analysis. You will also design analytical frameworks to forecast key account performance and profitability promoters, create and enhance multi-year financial models, and partner with leadership to set ambitious yet achievable financial targets. Job Responsibilities Analyze financial data and provide insights. Serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams to deliver impactful reporting, planning, and analyses. Align costs incurred while providing internal services to intended beneficiaries accurately. Perform detailed quantitative analysis and design analytical frameworks to forecast key account performance and profitability drivers, improving forecasting methodologies. Create, maintain, and enhance multi-year financial models for the business, assessing the impact of strategic decisions and trade-offs on the P&L. Partner with leadership to set ambitious, achievable financial targets tied to long-term goals. Provide informative business financial information and coordinate business financial planning and budget management. Partner effectively with finance, marketing, technology, and business teams. Present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills CFA/CMA/CA/MBA (Finance) Minimum 1 year experience in an analytical and financial role and should have worked on Banking products Excellent communication (verbal and written) skills Superior financial modelling acumen Proficiency in Microsoft Office (especially Excel and PowerPoint) Experience in using Data extraction and Data analysis tools like SAS/SQL/R/Python Preferred qualifications, capabilities, and skills Knowledge of Tableau and Alteryx Experience in discounted cash flow valuation a plus Should be flexible to work in EMEA shifts

Roles and Responsibility Design and develop visual analytics solutions using SAS Visual Analytics. Collaborate with cross-functional teams to identify business requirements and provide data-driven insights. Develop and maintain complex data models and reports. Implement data visualization best practices to create interactive and dynamic dashboards. Work closely with stakeholders to understand their needs and provide tailored solutions. Stay up-to-date with industry trends and emerging technologies in visual analytics. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Proficiency in SAS Visual Analytics and related tools. Excellent communication and problem-solving skills. Ability to work collaboratively in a team environment. Strong analytical and critical thinking skills. Experience with data modeling and reporting techniques.

We are looking for a skilled SAS Developer with 4 to 6 years of experience in data analytics to join our team at Lericon Informatics Pvt. Ltd. The ideal candidate will have a strong background in IT Services & Consulting, particularly in data analytics and SAS development. Roles and Responsibility Design, develop, and implement data analytics solutions using SAS. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain large-scale data systems and databases. Analyze complex data sets to extract insights and trends. Create reports and dashboards to present findings to stakeholders. Troubleshoot and resolve technical issues related to data analytics. Job Requirements Strong knowledge of SAS programming language and its applications in data analytics. Experience working with large datasets and developing scalable data systems. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and presentation skills. Familiarity with industry-standard data analytics tools and technologies.

Hi, We are hiring for one of our client company based from Ahmedabad,Gujarat. Job Title :- SAS Developer Experience :- 2 to 5 years Location:- PAN INDIA (Willing to relocate) Job Description Looking for a SAS Developer with experience to build SAS programs, reports, and dashboards for banking analytics (credit risk, compliance, fraud, customer behavior). Key Skills: SAS Base, Macros, SQL, DI, VA, Viya RDBMS: Oracle, SQL Server, Teradata Data validation, analytics, reporting Banking data models & regulatory reporting Good communication & teamwork

We are hiring for one of our client an IT company based from Ahmedabad,Gujarat Job Title :- SAS Developer Experience: 2 to 5 years Location:- PAN INDIA (willing to relocate) Required Candidate profile SAS Base, Macros, SQL, DI, VA, Viya RDBMS: Oracle, SQL Server, Teradata Data validation, analytics, reporting Banking data models & regulatory reporting SAS Enterprise Guide, AML/KYC

Job Summary Synechron is seeking an experienced SAS Developer with a strong focus on production support to join our team. The role involves designing, developing, and maintaining SAS-based analytics solutions while ensuring the stability, performance, and security of SAS applications in a production environment. The ideal candidate will play a key part in supporting data-driven decision-making, troubleshooting issues efficiently, and collaborating across teams to ensure seamless operations that align with organizational goals. Software Requirements Required: SAS Base, SAS Macro, SAS SQL, SAS Enterprise Guide (latest/or recent stable versions) SQL proficiency with relational databases such as Oracle, SQL Server, or DB2 UNIX/Linux shell scripting required for environment management and automation Version control systems (e.g., Git, SAS Management Console) preferred Data warehousing concepts and tools preferred Preferred: SAS BI tools such as SAS Visual Analytics or SAS Data Integration Studio Scheduling and automation tools (e.g., SAS Management Console, Control-M) Overall Responsibilities Develop, test, and deploy SAS programs and applications based on project requirements Maintain, optimize, and troubleshoot existing SAS code for efficiency, accuracy, and robustness Provide ongoing production support, including monitoring, issue resolution, and incident management to ensure high system availability and performance Collaborate with data analysts, business users, and IT teams to understand data requirements and deliver analytical solutions Validate, reconcile, and generate reports to support operational and strategic decision-making Ensure compliance with data security, privacy, and governance standards Document technical specifications, system configurations, and support procedures Support deployment and upgrade activities for SAS solutions in production environments Monitor scheduled and batch SAS jobs, troubleshoot failures, and implement corrective actions Effectively communicate issues and resolutions to technical and non-technical stakeholders Technical Skills (By Category) Programming Languages Required: SAS programming (BASE SAS, Macro, SQL) essential Preferred: Scripting languages (UNIX/Linux shell scripting) preferred Databases/Data Management Experience with relational databases (Oracle, SQL Server, DB2) required Strong understanding of data management, extraction, and reconciliation processes required Cloud Technologies Familiarity with cloud data environments (Azure, AWS, GCP) is a plus, but not mandatory Frameworks and Libraries SAS Data Integration Studio, SAS Visual Analytics preferred Development Tools and Methodologies Version control (Git, SAS Management Console) preferred Agile/Scrum methodologies required Security Protocols Knowledge of data security, compliance standards (HIPAA, GDPR) preferred Experience Requirements Minimum of 4+ years of hands-on experience as a SAS developer, especially in a production support role Proven track record supporting SAS applications within a live environment Experience with troubleshooting, performance tuning, and incident management Preferred experience working in financial, healthcare, or regulated industries Day-to-Day Activities Write, test, and optimize SAS programs to support analytics and reporting needs Provide first-line support for SAS applications in production, resolving issues and outages promptly Monitor, troubleshoot, and resolve failed jobs and system alerts Collaborate with data analysts and technical teams to optimize data workflows and reporting processes Assist in deploying updates, patches, and new solutions to SAS environments Document technical issues, resolutions, and system configurations Participate in incident reviews and root cause analysis to prevent recurrence Conduct regular system health checks and ensure data security and compliance standards are met Qualifications Bachelor's degree in Computer Science, Information Technology, Data Science, or related field Advanced SAS certifications (e.g., SAS Certified Data Scientist, Base Programmer) are preferred Proven experience with SAS Development and Production support in enterprise environments Ability to learn new tools and adapt quickly in a dynamic setting Professional Competencies Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to work effectively within a team and cross-functionally Customer-focused mindset with a sense of urgency and ownership Good organizational skills and ability to prioritize multiple tasks Adaptability to evolving technologies and procedures Proactive in identifying and resolving issues to improve system stability S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

Expertise Required: Analytical Skills Intermediate knowledge in Data analysis & Data patterns Skillful in transforming data sets and performing quantitative & qualitative analysis Knowledge on data manipulation and problem solving Proficient in formulating analytical methodology, identifying inconsistencies Coming up with automated Techniques to remove manual touch points Tools and Platforms Intermediate - expert in SAS, SQL, Tableau, Appian, Xceptor, Python and Mainframes Knowledge on schedulers like Autosys Proficient in MS Excel, PowerPoint, and VBA 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.) MCA & Audit Framework Inherent and Residual Risks Finance Regulations, Understanding of Audit Process Functional Skills Nice to have - Knowledge of Finance Regulations, Understanding of Audit Process Soft Skills Should have good communication and inter-personal skills 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 3-5 years of hands-on experience in Development/Production Support – identifying production failures and fixing issues towards resolution involving codes in SAS & SQL environment Intermediate knowledge on Appian, Xceptor and Tableau

*Greetings From You & I Consulting ! You & I Consulting has always been in the spotlight for getting placed in 64+ MNC's PAN India. *Hurry Do Not Miss This Opportunity To Work For Global Giant MNC. We are hiring for the below locations under Medical Reviewer Role!! *Open Locations :- * Gandhinagar / Mumbai *Mode Of Interview - Virtual *Mode Of Work :- Work From Office * CTC Upto - 10 To 24Lpa *Call Now our HR Specialist:- @ puja - 8250242229 (call or whts app) or email your CV to puja@careersuni.com PFB Job Insights for Medical Reviewer Role!! Author a CCC for case reports that are Suspected Unexpected Serious Adverse reaction (SUSAR). Edit the Periodic Report Comment, if applicable, directly within the Periodic Report Comment field in the Patient Safety database. Perform the following actions within the Comments field of the GSP Review Workflow step in the Patient Safety database: Review and respond to any queries/comments from the Case Owner, which are recorded in the Comment field of the GSP Review Workflow step in the Patient Safety database. Detail any requests for changes to the case, including the narrative. Skills required:- Computer Literate (good knowledge of MS Office) Sound understanding of the Drug Safety and Regulatory process Good problem solving and decision-making skills Capability to lead by motivation and example Ability to prioritize schedule and organize Excellent interpersonal and communication skills * * *Call Now our HR Specialist:- @ puja - 8250242229 (call or whts app) email your CV to puja@careersuni.com ***Note we also have open positions for the below skills :- *Aggregate Reporting / Clinical Data Management / Clinical SAS / SQL Programmer / EDC Programmer / Medical Monitor / HEOR Health Economist Role / SAS + R / Statistical Programmer / Study Data Manager *Though We Try and Answer The Calls Immediately, but Due to Heavy Call Flow The Below Numbers Might Be Busy At Times. In case you find the number busy, please whatsapp your details to us in the below format: - Name- Mobile number - Mail - Qualification - Total work experience - Current Organization- Location - Last CTC Expected CTC:- *Interested candidates can even refer their friends or relatives provided the criteria *FOR interview Call Now our HR Specialist:- @ puja - 8250242229 (call or whts app) email your CV to puja@careersuni.com

Project description We are looking for the star Python Developer who is not afraid of work and challenges! Gladly becoming a partner with famous financial institution, we are gathering a team of professionals with wide range of skills to successfully deliver business value to the client. Responsibilities Analyse existing SAS DI pipelines and SQL-based transformations. Translate and optimize SAS SQL logic into Python code using frameworks such as Pyspark. Develop and maintain scalable ETL pipelines using Python on AWS EMR. Implement data transformation, cleansing, and aggregation logic to support business requirements. Design modular and reusable code for distributed data processing tasks on EMR clusters. Integrate EMR jobs with upstream and downstream systems, including AWS S3, Snowflake, and Tableau. Develop Tableau reports for business reporting. Skills Must have 6+ years of experience in ETL development, with at least 5 years working with AWS EMR. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python for data processing and scripting. Proficient in SQL and experience with one or more ETL tools (e.g., SAS DI, Informatica)/. Hands-on experience with AWS servicesEMR, S3, IAM, VPC, and Glue. Familiarity with data storage systems such as Snowflake or RDS. Excellent communication skills and ability to work collaboratively in a team environment. Strong problem-solving skills and ability to work independently. Nice to have N/A

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Minimum 3-5 years of work experience in SAS EG and SAS CI Hands on experience in data transferring from different sources to SAS database Expertise in Data Step and Proc Step including merge statement , proc sql and macros , SAS functions Experience in automation and SAS reporting Good communication skill is must. Candidate should independently work deliver the project work as well as deal with client . Location Any Infosys DC in India Preferred Skills: Technology-ETL & Data Quality-ETL & Data Quality - SAS-SAS - SAS Data Integration Studio

Roles and Responsibilities Design, develop, test, and deploy data analytics solutions using SAS programming language. Collaborate with cross-functional teams to gather requirements and deliver high-quality reports. Develop complex data models and algorithms to solve business problems. Troubleshoot issues related to data quality, performance tuning, and system integration. Stay up-to-date with industry trends and best practices in analytics. Desired Candidate Profile 2-5 years of experience in SAS programming with expertise in Base SAS, Advance SAS, PROC SQL, SAS Enterprise Guide. Strong understanding of statistics concepts such as regression analysis, time series forecasting, clustering etc. . Proficiency in developing macros for automating tasks and creating visualizations using Graph Builder or Viya.

Job Description: Primary skillset: SAS EG, DI studio, SAS BASE, SAS MACROS, SAS SQL and SAS STAT Secondary: Tableau, Alteryx, Experience in Banking Domain Job Description • Experience in SAS EG and DI studio. • Experience in SAS Coding, Reporting, Data Management and Formats/ Informats • Experience in SAS products such as SAS BASE, SAS MACROS, SAS SQL and SAS STAT. • Experience in analysis and sanity checking, validating, and manipulating complex data using DATA-step Programming, SAS Procedures, SAS Functions and SAS/Macros. • Strong expertise in Data Warehousing and BI • Proficient in ETL Development • Willing to learn Tableau if not experienced in it

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities SAS, Python, Base SAS Certified, Advanced SAS Certified Technical and Professional : SAS, Python, Base SAS Certified, Advanced SAS Certified Preferred Skills: Technology-sas-sas