.About our CompanySchneider Electric is the global specialist in energy management and automation. With revenues of ~€25 billion in FY2016, our 144,000+ employees serve customers in over 100 countries, helping them to manage their energy and process in ways that are safe, reliable, efficient and sustainable. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Our connected technologies reshape industries, transform cities and enrich lives.At Schneider Electric, we call this Life Is On.Who we are?We are the Data Quality Team, part of the Data and Performance organization. We are leading the effort to improve the maturity of Data at its foundations. We are implementing new approaches, processes and roles to increase overall SE data quality, which means that Data is fit for purpose. quality of data is measured in a safe and cost-effective manner and it is sustainably maintained in its integrity and quality.The Data Quality team aim is to deploy across the organization a data quality process which is defined in its key steps as discovery, data profiling, identification of Critical Data Elements and definition of data quality check to assess their status, implementation of the quality control and of reporting based on their results, and issue management.Major duties and responsibilitiesAs a Data Quality analyst, you will:Gathers and structures information about DQ check from various sourcesManage the DQ check portfolio and facilitate its reusability across the data communityCollects and interprets data related to DQ issue managementAs Part of the overall Data Quality Team:Support the Data Quality process deployment as a service, withinthe agile development teams, building global re-usable data objects in order to facilitate the completion of the data quality deliverablesParticipate in the definition and verification of best practices in the implementation of DQ ChecksSupport Data Consumers and technical expert in the execution of DQ Issue Management and collects and interprets data QualificationsEngineering Graduate or Master of Computer Applications (MCA)Experience 5 – 10 years with Quality process or Data managementExperience in reporting packages and in analyzing large datasetsAbility to write comprehensive reportHands on experience on SQLKnowledge of architecture and operating models designPreferred some experience on data catoluging ,AWS, Informatica Cloud and BI tools (tableau).Strong verbal and written communication skillsTravel up to 15% of time (in normal circumstances)English fluencyWhat's in it for me? Life insurance.Health insuranceFlexible compensation: ticket restaurant, nursery, training, pension plan etc.Own your career: Enjoy all the benefits of Open Talent Market, our platform that uses AI to connect you with hundreds of job opportunities, projects and mentors around the world
