120 Spotfire Jobs - Page 2

Overview This role will play a pivotal role within the Control & Governance team of the procurement team and has a main objective to contribute to risk mitigation, policy implementation, and the overall effectiveness of our procurement governance framework for AMESA Sector (Ind and Pak) and APAC sector (ANZ market). Purpose Work with key stakeholders to maximize the main benefits that myBUY has for the company in terms of Compliance & Policy Adherence Guarantee all in-scope purchases are aligned to the corporate policy and procedures. Risk Assessment and Mitigationidentify potential risks and implement risk mitigation strategies. Process StandardizationClosely work with myBUY control, compliance and governance GPO to drive standardization across all sectors. Scope The function holder is covering for AMESA Sector (Ind and Pak) and APAC sector (ANZ market). Responsibilities Compliance & Policy Adherence Monitor procurement activities to ensure strict compliance with internal policies, procedures, and relevant regulatory requirements. Conduct regular reviews of purchase orders to identify any deviations/non-compliant activities from the policy. Continuously monitor changes in relevant global policies and regulations and perform impact analysis on the existing controls and implement the required changes to the controls upon alignment from controls team. Ensure the myBUY Policies and guidelines are in line with P2P and Global Procurement policy and guidelines. Collaborate with key stakeholders from control and procurement teams to develop, update, and communicate procurement controls matrix. Prepare training materials to employees within the department to enhance awareness of compliance obligations. Ensure that the GCS scope controls are executed as per the controls design matrix and ensure the same has been documented in the GCS portal on timely manner. Act as a liaison between the procurement department, Internal & External auditor management. Collaborate during audits, providing necessary documentation, explanations, and implementing corrective actions in a timely manner. Risk Assessment and Mitigation Develop and implement risk mitigation strategies, working closely with procurement stakeholders and continuously monitor the effectiveness of these strategies and make adjustments as needed. (e.g.Governance calls) Support and review myBUY CR initiatives/system upgrade with subject matter experts (SMEs) in AMESA and APAC. Process Standardization Closely work with myBUY myBUY control, compliance and governance GPO to drive standardization across all sectors. Qualifications Bachelor degree in Finance/Supply Chain Management/Accounting/Business Administration. A master degree is a plus 6+ Years of experience required Functional knowledgeDepth of different aspects of Procurement such as processes and tools, knowledge in Food & Beverage industry a plus Experience in sourcing processes and technologies, with experience of implementing them in a global and regional environment Advanced proficiency in data analysis tools, including Microsoft Excel (e.g., advanced formulas, pivot tables, data validation); data visualization tools skills like Tableau or PowerBI is a plus Strong communication & negotiation skills Results Oriented comfortable setting and delivering against bold, stretch targets English essential, both verbal and in writing Comfortable working within matrix organization Affinity with technology applications and business processes and the impact on people Strong analytical, problem solving, and root cause identification skills Solid understanding of the PepsiCo organization and cultural differences Differentiating Competencies Required Decision making Work under pressure Cross functional teamwork skills Collaboration and influence Act with Integrity Experience with large-scale organizational change effort Ability to flex to collaborate with people in different locations of various time zones Ability to translate complex situations into executive level communication

Job Title:SAP CPQ Callidus Cloud, AWS, Python, CPQ, Iron python, HTML, CSSExperience5-10 YearsLocation:Bangalore : SAP, CPQ, Callidus, Cloud, AWS, Python, CPQ, Iron, Python, HTML, CSS.

Job Title SAP CPQ EngineerExperience 5-10 YearsLocation Bangalore : Looking for a senior resource with min 5+ years of hands-on experience in SAP CPQ. Must have experience in SAP CPQ Callidus Cloud with product knowledge on below points CPQ Product integration Save Configuration Price Object and Delivery Object Customization Product feature Customization Performance improvement, SAP CPQ Quote implementation AWS Python, CPQ, Iron python, HTML, CSS Hands on experience in JAVASCRIPT, jQuery, Postman, GitHub Good to have experience in scripting language like Shell Scripting Qualification: Bachelors or masters degree in computer science, Information Systems, Engineering or equivalent.

Senior Team Manager- Credit Risk Data Analytics It is recognized that the size and complexity of Shell Trading & Supply (T&S) has increased substantially over the past few years and the expectations around risk management from a regulatory perspective have also shifted for Energy Trading. As a result, and also recognising the potential to unlock additional value from enhanced risk management of our trading activities, a strategic decision has been made to make a major investment over the next 3-4 years to strengthen the risk management capabilities of the organisation from a people, process, data and systems perspective in both the first and second lines of defence. The Credit Data Analytics team within Credit focuses on the delivery of regular and ad hoc credit risk reporting and portfolio analytics to the commercial teams, the risk management teams and various other stakeholders such as the TSLT, EC and the production of risk information which will flow into external financial reporting. This role relates to Trading & Supply division (T&S). Primary stakeholders are commercial teams, credit risk managers located in T&S hubs of London, Houston, Rotterdam, Dubai and Singapore. The role is focused on providing support for credit reporting and analytics activities globally. Principal Accountabilities: The candidate will be responsible to lead and manage a high performing team that supports the development and operations of global credit risk reporting activities within T&S, including working with IT and other organisations to resolve issues where they arise. Develop and conduct credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis. Combine business understanding with logical data modelling and process design skills to integrate new T&S businesses and enhanced activities into global operations. Ensure reporting and analytical tools have clear and appropriate documentation and controls. Develop and enhance appropriate data visualisations to support the use of credit reporting and analytics e.g. Spotfire, Power BI and/or other visualisation tools. Understand the key ETRMs of T&S, with in-depth knowledge of how systems in their region interact with Risk systems and tools. Train users on how to conduct analysis in tools developed and supported by Risk. Provide support and direction to Risk colleagues. Collaborate with and support Commercial Credit Market Risk Valuation teams with production reporting, transformation projects and other ad-hoc requests. Technical/Experience Requirements for the role: 2-5 yrs of team management will be required for this role and a min. of 8 years of professional experience on the following requirements below: Commodities Trading Risk Management Credit Risk Managment- Strong knowledge of Credit Risk fundamentals required and a desire to develop knowledge in other risk areas, such as Market or Operational Risk, preferred. Credit Risk concepts - ECL (Expected credit loss), Net Credit Exposure, PFE (Potential Future Exposure), Credit Reserves Technical Skills - SQL Server, BI tools like PBI or Tableau Experience with advanced Excel, SQL, Alteryx and/or database knowledge desirable. Experience in data visualisation Power BI, Spotfire, QlikSense or other, preferred. Finance or Mathematics Degree preferred CFA or GARP certificates preferred Prior risk experience within commodity markets , such as LNG, Oil, Gas, Power and/or Carbon preferred. Exposure to the types of conceptual, quantitative and data challenges faced in a complex trading environment with multiple ETRMs and sources of data is preferred. Excellent attention to detail, methodical, organized and able to plan to meet deadlines. Resilient when working under pressure, with the ability to prioritise tasks to meet deadlines Self-starter, highly motivated,outcome driven. Good judgement to provide advice, question discrepancies, escalate issues. Learner mindset: innovative and creative, excellent problem-solving capabilities including the ability to analyse, model and interpret data. Strong interpersonal and team working skills in order to communicate with various different stakeholders across Risk, IT and Commercial, all with varying needs.

Role & responsibilities Key Responsibilities: Design, develop, and deploy interactive dashboards and visualizations using TIBCO Spotfire . Work with stakeholders to gather business requirements and translate them into scalable BI solutions. Optimize Spotfire performance and apply best practices in visualization and data storytelling. Integrate data from multiple sources such as SQL databases, APIs, Excel, SAP , or cloud platforms. Implement advanced analytics using IronPython scripting , data functions , and R/Statistical integration . Conduct data profiling, cleansing, and validation to ensure accuracy and consistency. Support end-users with training, troubleshooting, and dashboard enhancements. Must-Have Skills: 58 years of experience in BI and Data Visualization . Minimum 4 years hands-on with TIBCO Spotfire including custom expressions and calculated columns. Strong knowledge of data modeling , ETL processes , and SQL scripting . Expertise in IronPython scripting for interactivity and automation within Spotfire. Experience working with large datasets and performance tuning visualizations. Good to Have: Experience with R , Python , or Statistica for advanced analytics in Spotfire. Familiarity with cloud-based data platforms (AWS Redshift, Snowflake, Azure Synapse). Understanding of data governance , metadata management , and access controls . Exposure to other BI tools like Tableau, Power BI , or QlikView .

The ideal candidate will lead and drive development in the BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. You will be responsible for dashboard design, development, and delivery of BI services using Tableau eco-system. Your key functions and responsibilities will include communicating with the Project Manager to understand requirements, designing, developing, and deploying dashboards using Tableau eco-system, ensuring timely delivery while maintaining quality, staying updated with current technologies, and proactively working with the Management team to identify and resolve issues. Additionally, you will contribute to dashboard designing, R&D, and project delivery using Tableau. As a leader, you will set the standard and expectations through your conduct, work ethic, integrity, and character. Your academic background should ideally include a Bachelor's degree in Computer Science, while a Master's degree would be an added advantage. You should have 2-5 years of experience in DWBI development projects, with at least 2 years of experience in BI and Visualization technologies, specifically Tableau and QlikView. You should also have at least 2 years of experience covering the Tableau implementation lifecycle, including hands-on development/programming, managing security, data modeling, and data blending. Your technology and skills should include hands-on expertise in Tableau administration and maintenance, strong working knowledge and development experience with Tableau Server and Desktop, proficiency in SQL, PL/SQL, and data modeling, knowledge of databases like Microsoft SQL Server and Oracle, exposure to alternate Visualization technologies such as QlikView, Spotfire, and Pentaho, good communication and analytical skills, excellent creative and conceptual thinking abilities, superior organizational skills, attention to detail and quality, and strong communication skills both verbally and in writing. This position is located in Bangalore.,

As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in computer science, Supply Chain, Information Systems, or related field. Minimum of 5-7 years of experience in Master Data Management or related field. 3-5 years SAP experience / ERP experience required with strong exposure to at least two of the functional areas described above – Proven experience in leading an MDM team. Strong knowledge of data governance principles, best practices, and technologies. – Experience with data profiling, cleansing, and enrichment tools. Ability to work with cross-functional teams to understand and address their master data needs. Proven ability to build predictive analytics tools using PowerBI, Spotfire or otherwise Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Provide expert-level support for data analysis and reporting needs. Identify trends and patterns in large datasets to inform business decisions. Develop and implement process improvements to increase efficiency and productivity. Communicate findings and insights to stakeholders through clear and concise reports. Job Requirements Strong understanding of data analysis principles and techniques. Proficiency in data visualization tools and software. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment with multiple priorities. Strong problem-solving skills and attention to detail. Experience working with large datasets and developing complex reports. Title: Analyst, ref: 78642.

Key Skills: DAO - AI/ML, Automation, Python, big query, Project Management, Agile, SDLC,JAVA, SQL Role & responsibilities 8+ years of experience in Data Science / Preferable in Automobile Engineering Domain SKILLS: Professional Skill: Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge Work simplification - methods that maximize output while minimizing expenditure and cost. Analytics with Data - interprets data and turns it into information which can offer ways to improve a business Communication - Good verbal communication and interpersonal skills are essential for collaborating with customers Technical Skills: Python/Numpy, Seaborn, Pandas, Selenium, Beautiful Soup (basic), Spotfire, ML Libraries, RPA, R, Iron-Python, Html CSS, Javascript, SQL, HQL, Git/Gitlabee, Spark, Scala, Webservices, Spotfire/ Tableau, JIRA Tool Skill: Project management tools, Documentation tools, Modeling [wireframe] tools Database Skills: MsSQL, Postgres, MsAccess, Mongo DB Rigorous - The ability to analyse qualitative data quickly and rigorously Adaptability - Being able to adapt to changing environments and work processes

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Delhi, Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Qualification Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Position Summary: The Data Science team is building the data platform that will enable us to create products and experiences that solve complex and critical problems for our customers. You will be handling a team and will be part of the Data Science team working across cross-functional groups supporting strategic business decisions with insight into OUR lines of service, customers and products. The role will include playing an active role in facilitating data usability, data standardisation and user acceptance testing initiatives; development and deployment of standard and non-standard metrics; creating analytical solutions. You will leverage your technical skills, business acumen, and creativity to extract and analyse massive data sets, build analytics-ready datasets to surface insights and key business metrics, contribute to metadata that improves data usability, and much more. The ideal candidate is deeply analytical and detailed-oriented, but capable of thinking independently and people oriented. Responsibilities: Possesses strong analytical/logical thinking and communication skills Collaborate with the data warehousing team, ensuring that data infrastructure supports the needs of OUR analytics team and validating data quality Coordinate with business planners and decision makers to translate business questions into verifiable hypothesis and data models Develop clear, concise, actionable models and recommendations from mountains of data Advocate for exploration of interesting data anomalies or patterns that may provide more explanatory detail about customer behaviours or predictive value to the business Partner closely with business and technical teams to understand their project objectives and provide data-driven solutions and recommendations Design and develop data preparation components and processes that extract and transform data across disparate databases for reporting and analytics, ensuring integrity of analysis data by developing the requirement specifications and assisting the development and testing of data tables Ensures solutions are scalable, repeatable, efficient and effective Work hands-on on various analytics problems and provide thought leadership on problems that we are working on Interact with onsite team as well as client on daily/weekly basis to gather requirements/provide updates Be involved in the development of the company through pre-sales/operational support Qualifications: 6-8 years of database experience with advanced SQL skills; experience researching and manipulating complex and large data sets (both distributed and non-distributed) should have experience towards leading team Proficient in one or more scripting languages, such as Python or Scala Experience working with complex analytical tools, such as SAS or R Experience with data visualisation tools, such as Tableau/Spot fire/Qlikview Experience in statistical techniques such as Regression, Clustering & Time Series Forecasting, etc. Proven ability to dig-in and understand the data and to leverage creative thinking and problemsolving skills to create new data models Strong understanding with data infrastructure, data warehouse, or data engineering Coordinate with business planners and decision makers to translate business questions into verifiable data models and hypothesis Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key data Knows MS Excel & PowerPoint Bachelors in Engineering or Masters in Statistics/Economics

We are looking for a highly skilled and experienced professional with 6 to 11 years of experience to join our team as a Manager - Business Transformation in Mumbai. Roles and Responsibility Develop and implement automation processes to enhance efficiency and productivity. Create MIS dashboards using Tableau for business insights and decision-making. Design analytical models, including scorecards, based on business requirements. Conduct deviation analytics to identify areas for improvement. Collaborate with cross-functional teams to drive business transformation initiatives. Analyze data to provide actionable recommendations to stakeholders. Job Graduate with a strong understanding of MIS and visualization tools. Proven experience in process automation and data analysis. Strong knowledge of Tableau and other data visualization tools. Excellent analytical and problem-solving skills. Ability to work collaboratively with cross-functional teams. Strong communication and interpersonal skills.

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Provide expert-level support for data analysis and reporting needs. Identify trends and patterns in large datasets to inform business decisions. Design and implement process improvements to increase efficiency and productivity. Develop and maintain technical documentation for data analysis systems. Job Requirements Strong understanding of data analysis principles and techniques. Proficiency in data visualization tools and programming languages. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines. Strong attention to detail and organizational skills. Experience working with large datasets and developing complex reports.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. The ideal candidate will have a strong background in analysis and problem-solving, with excellent communication skills. Roles and Responsibility Conduct thorough analysis of complex data sets to identify trends and patterns. Develop and implement effective analytical solutions to drive business growth. Collaborate with cross-functional teams to provide insights and recommendations. Design and maintain databases and systems to support business intelligence initiatives. Develop and deliver presentations to senior management on key findings and recommendations. Stay up-to-date with industry trends and emerging technologies to improve processes. Job Requirements Strong understanding of analytical principles and methodologies. Proficiency in statistical analysis and data visualization tools. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving and critical thinking skills. Experience with business intelligence tools and technologies.

JD CDM: 2 to 3 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have: Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication)

JD CDM: 4 - 6 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have: Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication

Immediate Job Openings on # Celonis Developer _ Pan India_Contract Experience: 5+ Years Skill : Celonis Developer Location: Pan India Notice Period: Immediate . Employment Type: Contract Job Description Celonis Developer Experience in at least one process mining tool is a must such as Celonis , Signavio, UI Path Process Mining, Kofax Insight, ARIS, ProM, ProDiscovery, QPR Process Analyzer, Process Diamond, etc. Strong hand-on experience in Relational databases, SQL, ETL and Python Strong hand-on working experience with ERP systems (e.g. Microsoft, Oracle, SAP ), data extraction, data analysis, reporting, etc. Strong analytical skills, especially in applying technology solutions to core business problems Preferred experience working in any of two of the Finance / Business Processes such as Procure to Pay, Accounts Payable, Order to Cash, Accounts Receivable, Indirect Tax, General Ledger, Fixed Assets, Maintenance Work Order, Production order, etc. Prior experience of working with data visualization tools such as PowerBI, SpotFire, Tableau or Qlikview preferred Technology experience- Major ERPs such as SAP, Oracle, RPA Platforms, and/or AI-based solutions. Experience working with complex ERP environments

Job Description: The ideal candidate will have over 4 years of experience working within Data Warehouse platforms in a regulated industry, specifically within a clinical trial environment (IDAR). This role demands a deep understanding of data visualisation tools, scripting languages, and SDTM data structures, along with the ability to work independently on complex assignments. Responsibilities: The service holder will be responsible to function in a continuous improvement framework with respect to systems deployment, life cycle management and enhancements supported user groups. The Analyst will contribute to initiatives to yield faster and more effective report development, efficient change management services for analytics platforms. The analyst will have technical expertise with clinical data and report building, and experience gained through working with diverse and complex business processes and associated system infrastructures. The Analyst is required to work in a matrix environment across functions and departments What Required: More than 4 years experience as a Business Analyst, working within Data Warehouse platforms in a regulated industry within a clinical trial environment (IDAR) In depth knowledge of Tibco Spotfire, Power BI or Tableu or other equivalent visualization development tool Hands on experience of Python, R, SAS and similar scripting languages [Must] Hands-on of SDTM data structure (for IDAR) [Must] Knowledge to gather requirements and writing user requirement documentation Ability to work independently on assignments of moderate to high complexity without support. Interested candidates may share resume with Puja.k@maxisclinical.com

Role & responsibilities Spotfire developer who has worked in Pharmacovigilance reporting BI Data Visualization - TIBCO Spotfire~LS - Pharmacovigilance (Argus), 6-8 Years , Preferred candidate profile Only immediate joiners with Spotfire and TIBCO experience

Job Summary CDM: 6 yrs of minimum Clinical Data Management experience Must have exposure to Study Start up, Conduct and Study Closeout. If not three phases should have good exposure to minimum two phases. Rave (Medidata) or Veeva EDC hands on experience is must. Must Have: Setup experience should have knowledge of DMP (Data Management Plan) creation, Edit check creation, Data Transfer specification creation, UAT knowledge (not mandatory). Conduct Experience Data Cleaning experience (Query Handling), Postproduction Changes, SAE reconciliation, LAB Reconciliation, ECOA/EPRO Reconciliation, PK/PD Reconciliation, Dataset review etc . Study Lock Freezing/Locking, should have good experience of Study lock Client facing role and Mentoring are added advantage. 1 Execute Data Management Activities I.e., Data Cleaning, Executing Manual and System checks, Update relevant trackers, Discrepancy and query management, Issue resolution, Database lock activities. 2 Participate in innovation and process improvement initiatives. 3 Identify and develop action plan in coordination with the TL for activities not meeting the client SLAs. 4 Archive all necessary information for audit purposes according to quality and security requirements, to ensure reliable and timely retrieval of documentation and information. 5 Support multiple clinical trials, across diverse therapeutic areas, to successful conclusion and provide technical oversight when required. 6 Study Setup hands on experience. 7 Working exposure in RAVE/VEEVA EDC, Knowledge of Spotfire reporting tool , 8 Third party data handling experience (Lab, PK, Image etc), Client facing role (experience in client communication

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - Data Eng, Mgmt. & Governance - Analyst S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary : As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field. This position is based at our Hyderabad office. About Our Company | AccentureQualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors or masters degree in any engineering stream or MCA.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication among team members and stakeholders. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Ensure effective communication among team members and stakeholders- Identify and address any issues or roadblocks in the development process Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI)- Strong understanding of data visualization tools such as Power BI- Experience with implementing various BI solutions- Hands-on experience in designing and configuring BI applications- Solid grasp of data analysis and interpretation Additional Information:- The candidate should have a minimum of 5 years of experience in Microsoft Power Business Intelligence (BI)- This position is based at our Noida office- A 15 years full-time education is required Qualification 15 years full time education

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification:Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.