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 processes 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, ensuring that data is fit for purpose, measured in a safe and cost-effective manner, and sustainably maintained in its integrity and quality.Major duties and responsibilitiesAs a Data Quality Analyst, you will:Gather and structure information about DQ checks from various sources.Manage the DQ check portfolio and facilitate its reusability across the data community.Collect and interpret data related to DQ issue management.Support the Data Quality process deployment as a service within the agile development teams, building global reusable data objects to facilitate the completion of the data quality deliverables.Participate in the definition and verification of best practices in the implementation of DQ Checks.Support Data Consumers and technical experts in the execution of DQ Issue Management and collect and interpret data.QualificationsEngineering Graduate or Master of Computer Applications (MCA).5 - 10 years of experience with quality processes or data management.Experience in reporting packages and analyzing large datasets.Ability to write comprehensive reports.Hands-on experience with SQL.Knowledge of architecture and operating models design.Preferred: Some experience in data cataloging, AWS, Informatica Cloud, and BI tools (Tableau).Strong verbal and written communication skills.Travel up to 15% of the time (in normal circumstances).English fluency.What's in it for me?Life insurance, health insurance, flexible compensation: ticket restaurant, nursery, training, pension plan, etc.
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