2356 Data Validation Jobs - Page 31

Calculate, validate and process all assigned Rebates, including GPO administrative fees, billbacks, flat rebates, wholesaler admin fees and shelf-stock adjustments. Reconcile and resolve discrepancies and provide detailed support for collection of invalid disputes. Identify root cause of issues with discrepancies and recommend corrective action to eliminate future occurrences and reduce outstanding rebate deduction balance. Submit validated rebates for payment per department procedure. Participate and/or contribute to special projects as needed. Update Rebate Tracker for assigned rebates. Perform ad hoc analysis as required. Perform other duties as requested.

BAE Data Analysis and Tracking Implementing robust data validation and cleaning processes to ensure data accuracy and consistency and to handle data segmentation, consolidation, and maintenance efficiently. Ensuring correct data import and establishing accurate relationships in the data model. Collaborated with stakeholders to establish clear criteria for each BAE and test the template. Used robust scripting and testing to ensure the automation works correctly. Creation of standard template for each BAE and mapped the data with the master excel sheet. BAE Realization Collecting BAE realization data from iValua and Accolade data base integrating information from different data sets Power BI application Fetch data from business map tool using import method and blank query option Create report and visuals using slicers and filters Write Dax query for creating measures and calculated columns Create data models for building relationships between tables Use power query editor for data transformation Use schedule refresh in power BI refresh for auto refresh Share reports with the users with permissions Use row level security Qualification: BE Mechanical (Mandatory) Skills: Power BI & Data Analysis

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. The primary responsibility of this role is to effectively manage and analyze large volumes of data, with the aim of extracting valuable insights. The ideal candidate should possess exceptional analytical skills, as well as the ability to manipulate and interpret complex datasets using a variety of technologies, including programming languages. Additionally, the candidate should be able to foster strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. About the Role Key Requirements: Data Analysis: Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. Data Validation, Cleaning and Preprocessing: Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity Data Visualization: Present findings in a clear and concise manner through the use of charts, graphs, and other visualizations. Enable users to easily understand and interpret the data through effective visual representations. Ad-hoc Data Analysis: Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. Collaboration: Collaborate closely with cross-functional teams, including business analysts, data engineers, and data scientists, to understand their requirements and provide data-driven solutions. Foster effective teamwork and communication to deliver optimal outcomes. Storytelling : Generate insights from the data and communicate them to the key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on the processes, products or business. Documentation: Develop and maintain documentation related to data analysis processes and procedures. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. Continuous Improvement: Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, ensuring they align with industry best practices. Essential Requirements: Strong analytical skills with the ability to manipulate and interpret large datasets. Knowledge of statistical techniques and data mining algorithms. Proficiency in programming languages (example - Python language). Strong SQL with aptitude for learning other analytics tools Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. Effective communication skills to present findings to both technical and non-technical stakeholders Desirable Requirements: 7+ years eextensive experience in Data and/or Business Analytics. candidates with a background in Financial Data Analytics will be an added advantage Bachelor s or Master s degree in a relevant field such as mathematics, statistics, economics, or computer science. strong written and verbal communication skills

Collaborate with business stakeholders to gather and translate data requirements into analytical solutions. Analyze large and complex datasets to identify trends, patterns, and actionable insights. Design, develop, and maintain interactive dashboards and reports using Elasticsearch/Kibana or Power BI. Conduct ad-hoc analyses and deliver data-driven narratives to support business decision-making. Ensure data accuracy, consistency, and integrity through rigorous validation and quality checks. Write and optimize SQL queries, views, and data models for reporting and analysis. Present findings through compelling visualizations, presentations, and written summaries. Work closely with data engineers and architects to enhance data pipelines and infrastructure. Contribute to the development and standardization of KPIs, metrics, and data governance practices Required Skills (Technical Competency): Bachelor or master degree in data science, Computer Science, Statistics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Proficiency in SQL and data visualization tools such as Power BI, Kibana, or similar. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Desired Skills: Elasticsearch/Kibana, Power BI, AWS, Python, SQL, Data modelling, Data analysis, Data quality checks, Data validation, Data visualization, Stakeholder communication, Excel, Data storytelling, Team collaboration, Problem-solving, Analytical thinking, Presentation skills, ETL concepts.

We re seeking a Business Analyst who thrives on solving problems, spotting inefficiencies, and improving processes through automation. You ll work closely with Product and Operations teams to automate transaction workflows, identify bugs, and support root cause analysis. This role demands strong analytical skills, attention to detail, and the ability to drive continuous improvement. WHAT YOU LL DO: Work with Product & Ops teams to identify manual, repetitive transaction processes ripe for automation Document business requirements and functional specifications for automation of transaction flows Analyze and investigate system/data issues, support bug identification and resolution tracking Collaborate with engineering teams to ensure business needs are translated accurately into automated solutions Support UAT and validate outcomes for transaction-related automation fixes or improvements Build documentation, workflows, and SOPs for automated processes Use data to validate automation success, identify gaps, and suggest improvements Write and run basic SQL queries to support analysis, data validation, and troubleshooting WHAT YOU LL NEED: A Bachelor s/Master s Degree with 4-5 years of experience as a Business Analyst, preferably in Insurance, BFSI, or SaaS environments Prior exposure to automation of business processes/transactions, workflow tools etc. Excellent analytical and investigative skills - comfortable digging into issues and identifying patterns Proven experience in bug tracking, triaging, and collaborating with QA or Engineering Familiarity with tools like JIRA, Confluence, Excel/Sheets, and process mapping platforms Strong communication skills for cross-functional collaboration Basic SQL for data extraction and analysis

You will be responsible for bank entries and bank reconciliation, as well as sales and purchase entries. It is essential to have knowledge of GST and Income Tax, from preparation to submission. You will be expected to prepare and finalize GST returns in a timely manner and possess TDS knowledge. Maintaining books of account and having a basic understanding of relevant tax and accounting concepts are crucial for this role. You will need to validate data, analyze for accuracy and relevance, and have knowledge of export documentation. Candidates from the E-Commerce industry will have an added advantage. This is a full-time, permanent position with a day shift schedule and a yearly bonus. A Bachelor's degree is required for this role, and a CA-Inter certification is preferred.,

At Allucent, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Senior Clinical Data Manager I to join our A-team in the Chennai location. The Senior Clinical Data Manager I (SrCDM1) will be responsible for leading data management activities of the Allucent Data Management (DM) department. In this role, your key tasks will include leading and serving as the primary contact for DM with all relevant parties both internally and externally, planning and projecting the resources required, monitoring tasks against budgets and forecasts, and developing, reviewing, and maintaining project-specific DM documents. You will also lead and coordinate the development of clinical study database set-up, participate in the review of study documents, coordinate database User Acceptance Testing (UAT), create training materials for EDC users, oversee data cleaning and validation, and manage various data transfers and reconciliation activities. Additionally, you will provide project metric reports, status updates, study progress, and feedback to the project team, organize and lead Quality Review activities during the study, assist in project-related contracts negotiation, and manage the database maintenance, lock, and close-out processes. You will also participate in conference calls and meetings with vendors and sponsors, maintain DM study documentation, support internal and external audits, align data management and clinical programming best practices, and provide leadership and support to other department members. To be successful in this role, you should possess a life science or healthcare degree, a minimum of 5 years of relevant work experience as a Clinical Data Manager, thorough knowledge of ICH-GCP, 21CFR11 data privacy guidelines, and experience with electronic data capture software systems. You should also have experience as a DM lead on several studies, strong written and verbal communication skills, strong project management skills, and the ability to simplify complex issues into understandable concepts. Benefits of working at Allucent include a comprehensive benefits package, competitive salaries, departmental study/training budget, flexible working hours, opportunity for remote/office-based working, leadership and mentoring opportunities, internal growth opportunities, access to online training, eligibility for Spot Bonus Award Program, and eligibility for Loyalty Award Program. Please note that office-based employees are required to work in-office for a minimum number of days per work week. Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on open roles. Candidates should never be submitted directly to hiring managers, employees, or human resources.,

Hiring KYC ANALYST for Gurgaon Location Location: Gurgaon CTC- 5LPA Call/WhatsApp- 7678572840, 9147047908, 9147047909, 7290845078 Key Responsibilities: Conduct due diligence and Know Your Customer (KYC) research for institutional and corporate clients, ensuring compliance with Anti-Money Laundering (AML) policies and regulatory requirements. Perform KYC onboarding and account opening tasks, including liaising with front office teams to collect and validate information and documents. Update internal systems with accurate client details, perform quality checks, and manage document uploads. Manage the pipeline for new account onboarding as well as periodic KYC reviews and remediation activities Review negative media alerts and client screening results; escalate any issues or red flags as appropriate. Execute Office of Foreign Assets Control (OFAC) screenings using World-Check or similar tools to identify Politically Exposed Persons (PEPs) and high-risk entities. Communicate effectively with front office staff and other stakeholders to maintain internal control standards and ensure timely resolution of queries. Meet production targets while ensuring accuracy and quality of work under tight deadlines. Identify process gaps or issues during onboarding and escalate as necessary. Key Requirements: Bachelors degree from a recognized university. Relevant KYC experience in an organisation with one year experience Fluent in spoken and written English. Strong attention to detail and ability to deliver high-quality work independently and under pressure. Good interpersonal and communication skills to coordinate with various teams.

You are a skilled QA / Data Engineer with 3-5 years of experience, joining a team focused on ensuring the quality and reliability of data-driven applications. Your expertise lies in manual testing and SQL, with additional knowledge in automation and performance testing being highly valuable. Your responsibilities include performing thorough testing and validation to guarantee the integrity of the applications. Your must-have skills include extensive experience in manual testing within data-centric environments, strong SQL skills for data validation and querying, familiarity with data engineering concepts such as ETL processes, data pipelines, and data warehousing, experience in Geo-Spatial data, a solid understanding of QA methodologies and best practices for software and data testing, and excellent communication skills. It would be beneficial for you to have experience with automation testing tools and frameworks like Selenium and JUnit for data pipelines, knowledge of performance testing tools such as JMeter and LoadRunner for evaluating data systems, familiarity with data engineering tools and platforms like Apache Kafka, Apache Spark, and Hadoop, understanding of cloud-based data solutions like AWS, Azure, and Google Cloud, along with their testing methodologies. Your proficiency in SQL, JUnit, Azure, Google Cloud, communication skills, performance testing, Selenium, QA methodologies, Apache Spark, data warehousing, data pipelines, cloud-based data solutions, Apache Kafka, Geo-Spatial data, JMeter, data validation, automation testing, manual testing, AWS, ETL, Hadoop, LoadRunner, ETL processes, and data engineering will be crucial in excelling in this role.,

You are a detail-oriented Chartered Accountant responsible for supporting and driving finance transformation initiatives to enhance efficiency, improve reporting, and streamline financial operations. Your role as a Finance Transformation Analyst involves working closely with finance and project teams to analyze current processes, gather requirements, and help implement technology solutions like SAP cFIN, SAC, and other allied tools. Your analytical mindset, familiarity with financial systems, and excellent communication skills will be crucial in supporting key stakeholders and driving change. Your key areas of responsibilities include: Data Analysis and Process Mapping: - Conduct detailed analysis of current finance processes to identify inefficiencies and areas for improvement. - Create and maintain process maps, document workflows, and suggest improvements based on best practices and business requirements. - Perform data analysis to support decision-making and provide insights into the effectiveness of existing finance operations. Requirements Gathering and Solution Design: - Collaborate with finance, IT, and project teams to gather and document requirements for finance transformation initiatives. - Assist in designing solutions that align with organizational goals, including process improvements and technology implementations. - Translate business requirements into functional specifications and work with technical teams to support system configuration. Project Support and Coordination: - Support project manager in tracking project timelines, milestones, and deliverables to ensure finance transformation projects stay on track. - Help coordinate project tasks such as user testing, data validation, and system integration for successful project execution. - Prepare status updates and project documentation to keep stakeholders informed of progress and potential risks. Testing and Data Validation: - Develop test cases and support testing activities, including system integration testing (SIT) and user acceptance testing (UAT). - Conduct data validation and reconciliation to ensure data accuracy and consistency between new and existing systems. - Work with finance and IT teams to troubleshoot issues and provide solutions to resolve data or process discrepancies. Change Management and Training Support: - Assist in change management activities by preparing training materials and conducting user training sessions for smooth adoption of new systems and processes. - Communicate transformation objectives and updates to finance users, providing guidance and addressing concerns related to new tools and processes. - Support end-users post-implementation to ensure they are comfortable with the new system and processes. Continuous Improvement and Reporting: - Monitor and report on the performance of transformed processes, analyzing metrics to assess improvements and identify additional optimization opportunities. - Develop dashboards and reporting tools to provide insights into the effectiveness of finance transformation efforts. - Contribute to continuous improvement initiatives within the finance function by sharing ideas and best practices for process optimization. Qualifications: - Chartered Accountant - Bachelor's in Commerce (Accounting) - SAP FICO certification would be an added advantage Experience: - 2-4 years of experience in finance, accounting, or finance transformation, with exposure to SAP or process improvement projects. - Experience with SAP ECC/HANA and data analysis is preferred.,

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators Experience: 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Delivery(RPA). Experience:3-5 Years.

This role involves the development and application of engineering practice and knowledge in the following technologiesDesign of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation. - Grade Specific Focus on Mechanical Physical Engineering. Entry level graduate with limited commercial and technical work experience. Build skills and expertise in a chosen Engineering Discipline. Works to instructions and directions and delivers reliable results. Keen to understand clients business needs. Solves routine problems. Organises own time with a short time horizon. Skills (competencies) Active Listening Adaptability Analytical Thinking CAD & Digital Twin DesignGenerative Design & Additive Manufacturing Collaboration Material Science and Recycling Process Material ScienceMetals, Composite, Surface and Nanomaterials Problem Solving Product Digital DesignAutoCAD Product Digital DesignAutodesk Fusion 360 Product Digital DesignCATIA V5 Project Management Project Planning Projects & QCT Management, Supplier Management Rapid DynamicsCrash and Vulnerability Risk Management Scope Management Specification and Requirements Management Stakeholder Management Static Stress Analysis Static StressPhysics & Simulation Science Strategic Thinking Sustainability-Electrification Sustainability-Green Hydrogen

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery. Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google Cloud Dataflow. Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Network Operations - Utilities. Experience: 5-8 Years.

Are you driven by turning complex data into insights that shape commercial strategies and decision-making? Do you enjoy solving business challenges with data in a dynamic, collaborative environment? We are looking for a Commercial Data Analyst to join our growing Master Data Management team in Chennai, India. In this role, you will support our commercial functions by managing, analyzing, and improving master and transactional data related to sales, customers, pricing, and market performance. Your insights will directly support improved commercial performance, customer experience, and business growth. Primary Responsibilities Commercial Data Support : Assist the Master Data Management (MDM) team in ensuring high data quality and consistency for key commercial data objects such as customers, pricing, and sales hierarchies. Data Analysis & Insights : Analyze commercial data (e.g., sales performance, customer segmentation, pricing trends) to identify patterns, trends, and improvement opportunities. Data Validation : Ensure completeness, accuracy, and consistency of commercial master data across systems. Reporting : Develop and maintain dashboards and reports that provide actionable insights to stakeholders in sales, marketing, and business management. Collaboration : Work closely with commercial teams, master data stewards, and data owners to understand data needs and ensure alignment on data structures and definitions. Data Quality Management : Apply data profiling techniques to detect anomalies and support initiatives to improve and maintain data quality. Documentation : Help define and maintain documentation of data definitions, processes, and standards for commercial data. System Support : Support integration and consistency of commercial data across ERP, CRM, and analytics platforms. Data Projects : Contribute to data migration, cleansing, and enrichment efforts in relation to commercial systems and reporting structures. Qualifications As a Commercial Data Analyst, you bring both analytical acumen and collaborative skills that help turn commercial data into business value. Professional Skills: 3+ years of experience working with data analysis in a commercial, sales, or marketing context. Strong skills in data cleaning, analysis, and visualization of sales/customer-related data. Proficiency in tools such as Excel, SQL, and BI platforms (e.g., Power BI, Tableau). Experience with CRM and ERP systems (e.g. SAP ECC, SAP S4 Hana, C4C) is a strong advantage. Understanding of commercial metrics and KPIs (e.g., revenue, margin, customer growth, pricing). Experience working with master data domains like Customer, Pricing, and Product. Good understanding of data quality principles and ability to identify and correct data issues. Experience in supporting data consistency across platforms and contributing to system/data projects. Analytical and detail-oriented, with a keen eye for commercial patterns and data integrity. Business-minded and able to translate data into actionable insights for commercial stakeholders. Excellent communication and collaboration skills to partner effectively with sales and marketing teams. Structured, self-driven, and able to manage multiple tasks in a fast-paced environment. Proactive and curious, with a continuous improvement mindset. An exciting opportunity to shape commercial success through impactful data insights and quality management. Collaboration with global commercial and data teams in a dynamic, cross-functional environment. What we offer: Senior GL Accountant Zivile, Senior GL Accountant at our Shared Service Center in Kaunas on how one can develop within different Finance positions at NKT. The collaboration between different NKT countries world-wide is one reason Zivile enjoys her work in the company. Our company culture is created by all of us - everyday. Sign up to our Talent Pool No suitable job for you? Create a profile in our Talent Pool and stay informed about new job offerings.

Analyst - Product Data & Analytics Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. ? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Solutions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? Role Expertise in creating ETL pipelines, ad hoc reporting and data visualizations. Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Act as the direct owner for major sections of the process contributing to a larger role. Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews. Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. All About You 4+ years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Expertise in Data visualization tools (Tableau, Domo, and/or Power BI/similar tools). Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server. Bachelor s or Master s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred Additional Competencies Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Creativity/Innovation Self-motivated, operates with a sense of urgency Able to prioritize and perform multiple tasks simultaneously

Project description Join a key initiative delivering a cutting-edge trading platform for a leading North American hedge fund. This project offers a unique opportunity to gain exposure to a variety of financial products while building hands-on experience with a modern trading platform. You will be part of the Business-as-Usual (BAU) support team, contributing to ongoing development and testing activities that support the platform's continuous expansion. As part of this role, you will join our Orchestrade Practicean open-minded, collaborative, and forward-thinking team. This environment provides an excellent platform to enhance both your functional and soft skills, while deepening your expertise in the capital markets industry. About the Platform - Orchestrade: - Built on .NET (C#) - Native integration with Excel - Supports a wide range of asset classes and workflows Responsibilities Support daily BAU activities and production issues (L1-L3) Respond to use issues / incidents / request on multiple domains, with a strong focus on Functional elements of Orchestrade Resolve daily FO issues on both functional, valuation, and pricing Resolve daily issues stemming from multiple trading desks (must) Work closely and address issues from Traders (L3) Amend pre-trade rules, pricing tools Resolve Pre-deal origination workflow and post execution monitoring and life-cycle management Dedicated workflow, configuration of the platform, supporting business Resolve request or issues with P&L, Market Data, and booking issues Analyze, formulate, proposed, develop and/or contribute to overall solutions as per PROD Support deliverables Liaise with technical team(s) - when needed - to resolve Functional related issues and necessary enhancements Yield Curve issue resolution and validation; curve assignments; new curve creation Continuous follow-up of new Market regulations/practices globally Perform various levels of testing for assigned deliverables as well as participate in formal release cycles (SIT/UAT) Manage day-to-day assigned project tasks to complete various deliverables When required, develop Functional Business requirements per given stream and according to Project needs as they come along Skills Must have Essentials Skills and Qualifications 3-5 years of hands on experience on Orchestrade OR Murex OR Calypso Capital Market experience with strong cross-products knowledge Strong knowledge of Financial products and their trade lifecycle Excellent analytical skills, understanding of project life cycles, and ability to act in an entrepreneurial manner to ensure the requirements from the business are gathered in the appropriate manner. Proven analytical, planning, problem solving and decision-making skills Comfortable with direct communication with all levels of technical and business resources Excellent organizational and time management skills with the ability to handle multiple tasks simultaneously Experience with working in a highly collaborative and dynamic multi-team environment Experience in writing user stories and working with JIRA /similar tools. System Integration and User Acceptance testin Must have attention to details; have the ability to work independently and also as part of a group Nice to have Experience of Agile practices and processes (e.g. SCRUM, KANBAN) Ability to work under pressure in a fast paced environment is essential Have a willingness to learn new skills and do whatever is necessary to "get the job done" attitude Basic Technical skillsSQL, UNIX, and .NET knowledge

Project description We have been engaged by a large European Bank to provide experienced professionals for their Murex Market Risk program. The program focuses on delivering a robust risk management platform for Treasury Front Office, TMO, and Risk teams to effectively manage the bank's funding and market risk exposures. Team members are expected to bring deep expertise, drive change initiatives, and work closely with business stakeholders to ensure seamless delivery of enhancements and new functionalities. Responsibilities Lead Market Risk enhancements and optimizations in the Murex platform Independently engage with end users to gather, clarify, and document business requirements Own and drive the implementation of Murex Market Risk configurations and optimizations Optimize existing risk methodologies and calculation formulas to improve performance and accuracy Conduct impact analysis and validation of Market Risk measures (e.g., VaR, PV01, CR01, PnL vectors) Drive functional validations for Market Risk metrics and coordinate testing with end users Troubleshoot, debug and resolve complex issues related to Market Risk computations Work closely with cross-functional teams including Risk, Front Office, and IT to ensure seamless integration of risk measures Provide guidance and mentorship to junior team members Contribute to process automation and continuous improvement of release cycles Skills Must have 8+ years of experience in Murex Market Risk module Deep expertise in Murex Market Risk Environment (MRE) module Proven ability to develop, configure, and optimize Market Risk calculations independently Experience in configuring and running risk computations including reval runs, normalized runs Strong business stakeholder management skills, with experience in running risk measure validations Deep understanding of asset classes including MM, Fixed Income, FX, and IR Derivatives Extensive hands-on experience in Market Risk functional validations (e.g., Interest Rate VaR, Stress Testing) Expertise in configuring and validating various Market Risk measures such as VaR, PV01, CR01, and PnL vectors Strong analytical skills to explain differences in VaR results between Murex and other risk systems Solid understanding of Oracle and/or SQL Server RDBMS, with strong SQL skills for data analysis and validation Nice to have Experience with Unix/Linux environments and scripting (Shell, Python, etc.) Exposure to GIT for version control Good knowledge of CI/CD methodologies and tools Development skills in MxML, DataMart, or other Murex modules Understanding of regulatory risk requirements (FRTB, Basel framework, etc.)

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Requirement SAP BODS Number of Openings* 2 ECMS Request No (Sourcing Stage)* 532551 Duration of Contract* 6 Total Years of Experience* 9+ Relevant Years of Experience* 6-8 Detailed JD (Roles and Responsibilities)* SAP BODS should have good experience on Data Extraction, Data Validation, Data Integration using SAP Bods 2. Should be Proficient in creating jobs, workflows, Dataflows and should have work experience on Transforms 3. Should have SAP Data Migration experience 4. Should have experience on LTMC, IDOCs,BAPI Function modules etc. Data migration: For Data Migration, Should have worked on end to end migration of objects such as master as well as Transactional data Other points: Able to gather the requirements independently, develop as per the business requirement, track the deliverables from the team, Prepare and share the status reports with the client. Mandatory Skills* SAP BODS Desired Skills* Technology SAP BODS Domain* Consultant Approx. Vendor Billing Rate (Excl.

Provides DM leadership across assigned trial(s) (4 or more) . Acts as the Trial Data Manager where needed for 3-4 studies in parallel. Demonstrates a business understanding of the portfolio, products and indication to identify and assist in successful application of data management processes Provides feedback to assure well- written protocols. Recognize and resolve protocol issues that may impact database design, data validation, data integrity and/or analysis/reporting while making the best use of standards and best practices Leads the team through database build requirements, timelines and complete startup activities for study including : building the eCRF , completion guidelines , standard and simple rules, data validation plan and user acceptance testing (UAT) Set up and manage s external data in accordance with protocol requirements, process and validation requirements Performs DM maintenance and validation activities during the study timely and with quality. Tracks and reports status and progress for assigned trials and projects. Is proactive to ensure milestones are met with quality (incl. Snapshots and interim/final locks). Effectively communicates status updates and study level information to the Clinical Trial Team (CTT) and Program Clinical Data Manager (PCDM) Responsible and accountable to ensure consistency of assigned trials with program level standards through technical implementation of Industry (CDISC and regulatory) Data Standards, providing support to business users and teams on their use and supporting the implementation of the Clinical Data Standards strategy. Mentors and assists Junior team members. Provides effective input into DM initiatives and innovations for quality, efficiency and continuous improvement in scientific and operational excellence Ensures adherence to GCP, DM standards, SOPs/procedures, job aids and guidelines Maintain up-to- date, knowledge of relevant technologies (EDC, software languages, applications etc.), Industry Standards ( e.g. CDISC, define.xml, eCTD etc.) and regulatory guidelines. ATTENTION: Current Alcon Employee/Contingent Worker If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site. Find Jobs for Employees Find Jobs for Contingent Worker

1. Simultaneously leads trials as a Trial Data Manager for 4+ trials in parallel with minimal to no support. 2. Demonstrates a business understanding of the portfolio, products and indication to identify and assist in successful application of data management processes 3. Provides feedback to assure well-written protocols. Recognize and resolve protocol issues that may impact database design, data validation, data integrity and/or analysis/reporting while making the best use of standards and best practices 4. Leads the team through database build requirements, timelines and complete startup activities for study including: building the eCRF, completion guidelines, standard and simple rules, data validation plan and user acceptance testing (UAT). Overseas and ensures quality where support services are provided. 5. Set up and Manage external data in accordance with protocol requirements, process and validation requirements 6. Performs DM maintenance and validation activities during the course of the study timely and with quality and overseas and ensures quality where support services are provided. 7. Ensures that Clinical Coding is performed at a consistently high standard in the Therapeutic Area/Franchisee. Ensures that the Coding related sections of the Data Management Documents are updated and Coding is complete and reviewed in support of all timelines/deliverables 8. Tracks and reports status and progress for assigned trials and projects. Is proactive to ensure milestones are met with quality (incl. Snapshots and interim/final locks). 9. Effectively communicates status updates and study level information to the Clinical Trial Team (CTT) and Program Clinical Data Manager (PCDM). Represents Data Management at cross functional forums, meetings and provides timely feedback to partners 10. Responsible and accountable to ensure consistency of assigned trials with program level standards through technical implementation of Industry (CDISC and regulatory) Data Standards while acting as a technical consultant providing standards input to all relevant area data management and reporting areas. 11. Coaches and mentors associates as required, ensures that DM associates on the program are aware of the risks, priorities, goals and impact of the work contribution. 12. Provides effective input into DM initiatives and innovations for quality, efficiency and continuous improvement in scientific and operational excellence 13. Understands Health Authority requirements and ensures adherence to GCP, standards, SOPs/procedures, job aids and guidelines, and is able to prepare for and participate in Health Authority inspections and audits as required 14. Maintain up-to-date, knowledge of relevant technologies (EDC, software languages, applications etc.), Industry Standards (e.g. CDISC, define.xml, eCTD etc.) and regulatory guidelines. ATTENTION: Current Alcon Employee/Contingent Worker If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site. Find Jobs for Employees Find Jobs for Contingent Worker

Job Description for QA Automation Engineer Seeking a highly skilled and motivated Quality Analyst to join our team. The ideal candidate will possess expertise in test automation with a focus on Typescript, Playwright, Cucumber along with strong communication skills and a solid understanding of Agile methodology. Additionally, knowledge of SQL database technologies, including the ability to write complex SQL queries for data validation and manipulation, is crucial for this role. Key Responsibilities: Develop and maintain automated test scripts using Typescript, Playwright, Cucumber ensuring the robustness, scalability, and performance of our applications. Design and implement Test Automation Frameworks, incorporating Behavior-Driven Development (BDD) principles, and using Cucumber for efficient and maintainable test suites. Collaborate with cross-functional teams to automate data flows, and end-to-end system functionality. Proficiency in database technologies, including the ability to write SQL queries for data validation, manipulation, and managing test data. Experience in writing and executing Data Manipulation Language (DML) statements for data validation, insertion, updating, and deletion during test automation. In-depth knowledge of database joins, including inner joins, outer joints, and self-joins, to effectively retrieve and validate data from multiple database tables. Ability to work with different database management systems (DBMS), such as PostgreSQL & Mongo DB depending on project requirements. Strong communication skills, including the ability to effectively communicate with team members and stakeholders. Experience in Agile methodologies and a deep understanding of the overall testing process within an Agile framework. Knowledge of various testing methodologies and test automation tools, with hands-on experience in designing and building Test Automation Frameworks. Qualifications: Proven experience in test automation using Typescript, Playwright, Cucumber. Strong understanding of REST API testing using Java Rest Assured. Experience in Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies. Solid understanding of Agile methodology. Excellent problem-solving skills and attention to detail. Relevant certifications in test automation or software testing are a plus. Hongkong Rotational Hours: Shift1 : Normal Business Hours: 7:00 AM to 4:00 PM IST Shift2: Normal Business Hours: 3:00 PM to 12:00 AM IST

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.