861 Data Mining Jobs - Page 35

About The Role The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. ? ? ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About Company ReNew is a leading decarbonisation solutions provider and the first Indian clean energy company to list on Nasdaq (Nasdaq: RNW). With ~15.6 GW of commissioned and pipeline utility-scale projects, we are a global company with strong Indian roots. Founded in 2011, ReNew is at the forefront of fighting climate change by offering decarbonisation solutions through utility-scale wind and solar offerings, green hydrogen, carbon markets, and energy storage. ReNew has been a pioneer in leveraging digital technologies to accelerate the transition to green energy and address the unique requirements of the B2B segment in India, where we are the market leader. Our mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew is the world’s first clean energy company to be recognised as a Lighthouse by the World Economic Forum. In 2023, we were recognised among ‘Top 15 Climate Tech Companies to Watch’ by the MIT Technology Review. We are a recipient of the Sustainable Market Initiative’s Terra Carta Seal. The COP28 UAE Presidency presented ReNew the ‘Energy Transition Changemaker’ award for developing and deploying the country’s first round-the-clock power project. ReNew’s solar and wind energy projects currently contribute to 1.9% of India’s power capacity and are spread across 150+ sites and 18 Indian states. We have helped prevent 0.5% of India’s total carbon emissions and 1.1% of India’s total power sector emissions, in addition to generating around 130,000 jobs over the past decade. Job Description Overall operations of the ReNew Diagnostic Centre with prevention by prediction philosophy Oversee the performance & operations of assets Provide routine & non-routine inputs to Wind & Solar asset management teams for enhancing performance, productivity & reliability of assets Good Knowledge on Wind Turbines and Solar Plants Location - Gurugram, Haryana SCADA Configuration Demonstrate expertise in SCADA configuration Configure and optimize SCADA systems for efficient monitoring and control Investor Queries Capable of answering investor queries regarding the operation and performance of renewable energy assets Provide clear and concise information to stakeholders Repetitive Errors Analysis Conduct in-depth analysis of repetitive errors in the operation of renewable energy assets Implement corrective measures to mitigate and prevent recurring issues Record Keeping and Monitoring of Curtailments Maintain comprehensive records of curtailments, including reasons and durations Power Curve Analysis Perform power curve analysis to optimize the energy output of wind turbines Identify and implement improvements based on analysis outcomes Critical Parameter Analysis Analyze critical parameters affecting the performance of solar plants and wind turbines Develop strategies to enhance system efficiency and reliability Module Cleaning Tracker Develop and maintain a tracker for module cleaning activities Ensure optimal cleanliness for efficient solar energy conversion Inverter Availability Tracker Monitor and track the availability of inverters Take proactive measures to minimize downtime and enhance performance Major Component Failure Management Develop and implement effective strategies for managing major component failures Minimize downtime and optimize system performance Daily Curtailment Report Prepare and distribute daily reports on curtailment activities Provide insights into curtailment trends and possible improvements Daily Generation Report - Portfolio Level Generate comprehensive daily reports on energy generation at the portfolio level Analyze and present key performance indicators to management LPF Report Analyze Loss of Power Factor and prepare detailed reports Propose measures to maintain optimal power factor levels PLF/LPF Trend Report Monitor trends in Power Load Factor Prepare trend reports to identify patterns and optimize generation Prolonged Stoppages/Major Breakdown Report Investigate and prepare reports on prolonged stoppages and major breakdowns Provide recommendations for minimizing future occurrences Reliability Profile Develop and maintain reliability profiles for renewable energy assets Ensure high availability and reliability of the entire system SCADA Report Generate SCADA reports, presenting key operational data and system performance indicators Use SCADA data to optimize the control and monitoring of renewable assets Performance Ratio Reports Prepare performance ratio reports, evaluating the efficiency of energy conversion Identify areas for improvement in performance ratios Contractual Availability Monitor and ensure compliance with contractual availability requirements Report any deviations and propose corrective actions Red Flag Report Identify outliers and red flags in operational data Radiation Analysis Conduct radiation analysis to optimize energy generation Implement strategies for maximizing solar energy conversion

Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs Assist in the development of visualizations and presentations for client deliverables Develop software solutions and applications using Python, SQL, and/or R Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers.

Develop and implement machine learning algorithms, Generative AI models for various projects, with a focus on the financial and banking domain. Develop and apply techniques for Explainability, Privacy, and fairness in AI models and Generative AI. Use case development including building AI applications, such as Deep learning, LLM/RAG/finetuning, NLP, computer vision and pattern recognition. Work with a team of AI/ML engineers and data scientist to implement AI solutions, or AI agents, build MLOps Pipeline on cloud (AWS, Azure, or GCP) and on-prem setup along with CI/CD Pipelines. Work with data mining toolkits like NLP, Semantic Web, NLTK, and information retrieval libraries like Lucene, SOLR, Elastic. Work with version controls such as Git or bitbucket. Work with containerization and docker implementation and Kubernetes Optimize Gen AI models for improved accuracy. Testing and monitoring the AI models for accuracy and efficiency. Keep abreast of the latest AI/ML threats, vulnerabilities, and countermeasures. Communicate with a team and document the processes Stay up to date on emerging AI technologies, framework and methodologies. Requirements: 1-3 years of hands-on experience in software development, with a focus on AI/ML, NLP, DL. Strong knowledge of AI/ML algorithms, Recommendation systems, Reinforcement Learning, Gen AI and AI Agents. Proficient in any one of the programming languages like Python or R, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc., with an understanding of AI compliance. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP/On-premise hosting). Well-versed with various AI/ML libraries for managing Bias, Variance etc. Experience in FastAPI. Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift Having knowledge or an understanding of Open-Source Tools such as MLFlow and Fairlearn. Having an understanding of Gen AI prompt engineering techniques such as N-Shot, Chain of thoughts, Cove, etc. Ability to stay updated with the latest AI/ML security trends and technologies. . Bachelors or Masters degree in Computer Science, Cybersecurity, Information Technology, or related fields. A minimum of 5+ years of hands-on experience in conducting cyber risk assessments and related security assessments. Industry certifications such as CISSP, CCSP, CISA, CISM, CRISC, ISO/IEC:27001/22301/20000 LI/LA or equivalent are highly valued. Profound knowledge of cybersecurity frameworks, industry standards, and best practices. Proficiency in using various security assessment and techniques. Strong analytical and problem-solving skills, with the ability to think critically and strategically. Excellent communication and presentation skills, capable of effectively communicating technical concepts to both technical and non-technical audiences. Demonstrated experience in project management and handling multiple assessments simultaneously. A proactive and self-motivated approach to work, with a commitment to continuous learning and professional development. Network Security, infrastructure assessment and network architecture design review. Conceptual knowledge of OT Security/ISA 62443 standard is preferable.

Hundreds of millions of customers, billions of transactions, petabytes of data How to use the world s richest collection of e-commerce and device usage data to acquire new customers, target existing customers, and predict customer behavior? Amazon s Consumer Behavior Analytics team seeks a Data Science Manager for building analytical solutions that will address increasingly complex business questions. We are seeking an exceptionally talented leader to lead one of our Data Science teams and develop a long-term roadmap for analytic capabilities. This is an opportunity to join a group with a broad charter and stakeholders across Amazon. Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities. As a Data Science Manager in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will have leadership for our team of data scientists and play an integral role in strategic decision-making. Key Responsibilities - Define, build, and lead a team of Data Scientists - Discover areas of the customer experience that can be automated through machine learning - Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets. - You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive. - You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems. - You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion - You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training - Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers - 5+ years of building quantitative solutions as a scientist or science manager experience - 2+ years of scientists or machine learning engineers management experience - 5+ years of applying statistical models for large-scale application and building automated analytical systems experience - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) - Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What you'll do - Leads and participates in medium- to large-scale, complex, cross-functional projects by reviewing project requirements; translating requirements into technical solutions; gathering requested information (for example, design documents, product requirements, wire frames); writing and developing code; conducting unit testing; communicating status and issues to team members and stakeholders; collaborating with project team and cross functional teams. Troubleshooting open issues and bug-fixes; enhancing design to prevent re-occurrences of defects; ensuring on-time delivery and hand-offs; interacting with project manager to provide input on project plan; and providing leadership to the project team. Leads the work of other small groups of six to ten engineers, including offshore associates, for assigned Engineering projects by providing pertinent documents, direction, and examples; identifying short- and long- term solutions and timeline; reviewing and approving proposed solutions; implementing new architectural patterns; and performing design and code reviews of changes. Troubleshoots business and production issues by reviewing and analyzing information (for example, issue, impact, criticality, possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; directing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation. Supports business objectives by collaborating with business partners to identify opportunities; addressing high-priority initiatives (for example, business strategy, technical feasibility, implementation alternatives); identifying short- and long-term solutions; and leading cross-functional partnership. Leads the discovery phase of medium to large projects to come up with high level design by partnering with the product management, Web Operations, project management, business and user experience teams; obtaining cross-function approvals; driving proof-of-concept; and implementing prototypes to validate ideas. Develops Innovation strategies, processes, and best practices by leading internal technical teams; partnering with cross-functional teams across the business; developing assessments of key opportunities; documenting project scopes; developing long-range plans and project timelines; communicating with and influencing decision-makers and executives within the organization; and resolving technology differences across teams through informed discussions. Utilizes industry research to improve Wal-Marts technology environment by analyzing industry best practices; bench marking industry against internal processes and solutions; researching or influencing future industry solutions for fit with internal needs; and defining software development guidelines, standards and processes What you'll bring: Architecture, Design, Development, Reviews etc Walmart scale - exposure to various Walmart business units like Jet, Hayneedle, Walmart eCommerce. Interact with highly skilled Architects community to share and learn new technologies, scale, performance etc Gain hands on experience to design scalable solutions, work with Walmart business, product Gain development experience of sophisticated, scalable and high performing system Leverage to open-source technologies using public clouds; build and mentor engineers; present ideas to larger organizations groups including innovation; foster culture independently to run team. An Engineering Degree - B.E/B.Tech/M.Tech/MS in any stream - Computer Science preferred. 10+ years of relevant experience on on Java,spark,scala with Hadoop Distributed Database, Kafka with solid hands-on multi-threading, functional programing etc A strong understanding of CS Fundamentals, Data Structures, Algorithms and Problem Solving Mandatory Skills Spark,Bigdata, Scala, Java, Hadoop, Spark SQl, Distributed System Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years experience in software engineering or related area.Option 2: 6 years experience in software engineering or related area. Preferred Qualifications... Master s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years experience in software engineering or related area

We are looking for an experienced analytics consulting professional with 3+ years of experience, who can handle a breadth of analytics projects, with proficiency in popular analytics tools / platforms and leveraging AI / ML / NLP techniques to deliver analytics projects: Deliver various types of analytics consulting projects, ranging from ad-hoc analytics / data mining to advanced analytics projects, depending on the needs of the client Deliver projects end-to-end, from requirements gathering / understanding to project planning to project delivery and recommendations, with appropriate guidance from senior managers Types of analytics problems may include, but not limited to: Brand Performance Campaign Measurement and Optimization Promotion Response & Marketing Mix Modeling Customer Segmentation - basic and advanced methodologies Marketing Mix Optimization Predictive Analytics Sales Force Effectiveness, SF Sizing & Design Patient-data analytics, Market Access Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team Lead client communication, providing clients with periodic updates and insights / recommendations through appropriate channels (conference calls / emails) Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues / concerns are handled in a timely manner Provide technical and business leadership/ mentorship to junior team members; groom them for additional responsibilities Develop approach for complex analyses and gain consensus with stakeholders internally and externally. Employ advanced analytics approaches like predictive and prescriptive statistics, machine learning and linear programming / optimization depending on the client requirements and data availability Handle small and large datasets on projects efficiently and figure out the right technology to use for processing the data and delivering the analyses. Be a champion on analytics technologies within the team. Develop expertise in pharma and healthcare datasets and be a champion within the team Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools Meaningfully communicate insights and information to a broad group of stakeholders through excellent oral and written communication Desired Profile / Skills 3+ years of overall experience with a reasonable exposure to delivering analytics projects Experience in pharma commercial analytics is a must have, other industry experience a plus Should have experience in leading / guiding small to large teams Strong presentation and client communication skills Excellent analytical and problem-solving skills Ability to work through complexity and ambiguity Experience in handling small and large datasets through Excel/VBA, MS Access / SQL Server, Python Experience in data visualization platforms like Tableau, Power BI, Qlik View Knowledge of basic statistics and ability to run predictive / machine learning models in R/Python Experience in solving advanced analytics problems like customer segmentation, ROI / impact analytics, multichannel marketing modeling is a plus

The Opportunity: Avantor is looking for a Master Data Administrator. The associate is responsible for working under moderate supervision, assisting in the design and development of data storage systems, processes, and enhancements for the company's complex, high-traffic, business-critical internet site communications and/or network-based (cloud) product systems. Assists with the implementation of new or additional storage technology to improve infrastructure service locally and remotely. What we're looking for Education: Bachelor's degree, preferably in an analytical field; or equivalent experience. Experience: 1-3 years of applicable experience, preferably in product or sales data management. ACCESS experience Preferred Qualification: High level proficiency in Microsoft Office, Excel, etc Comprehensive knowledge of VWR s systems is a plus Knowledge of ERP systems a plus Basic knowledge of VBA a plus Knowledge of Salesforce a plus. Excellent analytical and communication skills (both written and oral). Excellent time management skills, ability to multi-task effectively and be comfortable working in a fast-paced, dynamic environment without close guidance or supervision. Knowledge of best practices and principles for data modeling, dashboards, report design, analytics, and data mining. Ability to organize, interpret and present data to assist management in the evaluation of business performance and understanding of the customer experience. Strong data extraction skills required. Strong interpersonal and presentation skills. Proven ability to interface successfully within all levels of an organization. Proven ability to handle high stress situations with deadlines. Strong organizational effectiveness skills; attention to detail. Ability to manage multiple key projects with minimal direct supervision. A willingness to embrace and drive change throughout an organization. How will you thrive and create an impact: Assume ownership and responsibility for data accuracy, completeness, consistency, andintegrity of master data fields in Epicor. Responsible for loading basic customer information, requirements and internal reporting fields; prioritize loading into Epicor. Execute the qualitative coding process to enable creation of usable customer reporting. Responsible for analyzing and assigning sales reps to new customers. Partner with team members to ensure the quality and accuracy of reports and analyses, implementing best practices. Work with multiple stakeholders, both domestic and global, to understand data quality issuesand drive the resolution of discrepancies. Works with large amounts of data and utilizes multiple systems to research and analyzeinformation. Supports projects at planning and execution phase, including new acquisitions data migration, analysis of legacy files, matching of customer data, and providing a seamless transition to Epicor. This includes training on account structure, processes and procedures. Applies an in-depth understanding of customer needs within the segment and identifiesavailable opportunity and service requirements for both new customers and existing customers. Develop business knowledge to effectively anticipate and define opportunities to apply businessintelligence and analytics solutions to improve business outcomes including being a subjectmatter expert on master data to be a resource to guide and mentor internal stakeholders. Researches and resolves complex customer issues including prioritization. Develop logical data models and analysis reports based on business analysis patterns. Maintain/distribute dashboards, scorecards, and advanced analytics based on business requirements. Identifies the segment, region, channel and prioritization of customer accounts based on in-depth knowledge and research of customer opportunity, customer market segment andbusiness guidelines. Performs other duties as assigned.Reports security and/or health and safety infractions or potential infractions in a timely manner and to the appropriate contacts.

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . s Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. 510 years experience on SAP BW. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Mandatory skill sets SAP BW Hana/SAP Native Hana/SAP SAC/SAP Datasphere Preferred skill sets SAP BW Hana/SAP Native Hana/SAP SAC/SAP Datasphere

Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. 510 years experience on SAP BW. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Mandatory skill sets SAP SAC/SAP Native Hana/SAP SAC Preferred skill sets SAP SAC/SAP Native Hana/SAP SAC

Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. 5-10 years experience on SAP BW. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Mandatory skill sets SAP SAC/SAP Native Hana/SAP SAC Preferred skill sets SAP SAC/SAP Native Hana/SAP SAC