"•\tProactively assist customers with technical issues that may arise with their solution implementation. Troubleshoot and perform root cause analysis. Identify and provide timely workarounds and solutions when possible, to meet customer’s business needs.\n•\tReproduce in house when possible and file engineering tickets. Work with engineering and product management to prioritize as customer advocate to get resolutions in next release. When possible, analyze code and participate in engineering processes to develop and deploy defect fixes as service packs/hot fixes.\n•\tConstantly stay ahead in communicating with customers. Manage expectations properly to avoid escalations. Be a strong voice of customers during engineering planning.\n•\tAssist through release cycles in testing new features, enhancements and defect fixes.\n•\tWork with client business areas to design, build, enhance, and deliver enterprise wide data analytic dashboards and reports supporting multiple business units.\n•\tCollaborate with key business users to identify needs and opportunities for improved data management and delivery.\n•\tDesign and build ETL processes and scripts.\n\n•\tProvide technical knowledge and business support to the BI team.\nCandidate fitment:\n•\t6-8 years experience in Cognos Business Analytics Reporting and Analytical roles; proficiency in SQL, Excel, Relational Databases, Oracle, SQL Server\n•\tAbility to manage multiple timelines and priorities.\n•\tExperience in manufacturing industry is a PLUS.\n•\tHighly developed analytical, problem-solving, and consulting skills, with a proven track record of using data to provide actionable business results.\n•\tExperience in validating an overall solution from the perspective of performance, scalability, security and capacity.\n•\tThe ideal candidate is dedicated to making it easy for customers to use our product by leveraging business expertise and using rigorous logic and creative methods to solve difficult problems with effective solutions."
"Required Skills :- \n\nDetailed understanding and experience with the SAP HANA technology\nMinimum of 2 full life cycle implementations in SAP HANA\nSAP HANA modeling and scripting experience which includes ability to write complex stored procedures and scripted HANA views using SQL.\nImplement data models with SAP HANA using analytical and calculation views. Monitor, investigate and optimize these models and reporting performance on SAP HANA.\nAdminister data models in SAP HANA, including setting of information validation rules, managing schemas, the importing/exporting and transporting of data models.\nEvaluate the impact of different implementation options such as table joins, aggregation, or filters and understand the implication on performance of the various reporting tools and connection types.\nApply advanced data modeling techniques, including currency conversion, variables and input parameters. Implement decision automation using business rules.\nWorking knowledge of various data loading and replication methods so to load data into SAP HANA from different data sources (e.g. SAP Landscape Transformation (SLT), SAP Data Services, or Direct Extractor Connection (DXC)) is desirable.\nApply SQL Script to enhance the data models in SAP HANA using AFL, CE functions, and ANSI-SQL\nUnderstand and implement HANA Security model.\n\nRefer the JD above. APPLY if you have min.1.5 yrs+ experience into SAP HANA Expertise - with end to end implementation handled for SAP HANA."
"Sr BI Analyst / Lead BI Analyst\n\nMust Have:\nAt least 3 to 6 years of techno functional / technical experience in delivering projects for Large Enterprises\nStrong background in data analysis, data sources, data warehouse and business intelligence\nProgressive experience in areas of ETL, Data Modelling, Data Visualization, Reporting and Analytics\nFamiliarity with database concepts, SQL queries, joins and programming \nExperience in system administration, problem debugging, and solution design\nFormal education in technology, engineering and programming\nAbility to demonstrate strong technical aptitude\nExperience in handling customer communication\nAbility to manage individual contribution and workload, setting expectations and self-learning\nFamiliarity with self-service BI products such as Tableau, Qlikview, Spotfire, Power BI, MSBI\n \nAdditional Requirements (Nice to have):\nUnderstanding of data challenges encountered by business users\nDomain expertise to any of the following domains highly desired - Finance, Banking, Insurance, Healthcare, Pharmaceuticals"