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Head of Analytics @ MET Group

Budapest, HUOnsiteFull-timeJob reference REF1048H
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About this role

The Head of Analytics enables the access to qualitative information via the planning, building and running of conceptual “single point of truth” and the delivery of Analytics products to enable fact-based decision making and to optimize any process within MET.

Essential responsibilities

Maintain the Analytics Operating Model detailing governance, process, data and IT Architecture principles of MET Group Analytics.Supervise and support Analytics IT Applications; Azure Databricks, MS Power BI, Confluent ad internally developed IT Applications (built with Databricks)Create and maintain the information and analytics products architecture to support the delivery of all analytics products Develop and maintain data integration from internal and external data sources to supply all analytics products with qualitative and actualized informationProvision data & information to operational applications requiring additional data sources (eg. Endur, CCH Tagetik, …,)Enable data discovery (via providing queries/views but also training and best practices) for advanced users (quant analysts, FP&A analysts, controllers, risk managers, …)Deliver and maintain standard reports and dashboardsDevelop and maintain the Analytics products architectureProvide and promote best practices regarding information visualization (e.g. IBCS) and define and maintain the MET Reporting GovernanceSupervise the IT Application landscape delivering Analytics IT Capabilities 10-12 years of experience in analytics or data science roles, preferably from energy space or other regulated market 5+ years of experience in a management or leadership capacity Strong business acumen and the ability to connect data insights to business objectivesProficiency in SQL, visualisation tools, and statistical methodsUnderstanding of data governance and complianceExperience setting up analytics platformsKnowledge of data governance principles and practicesKnowledge of data visualization best practices and toolsThorough knowledge of statistical analysis techniques and methodologiesStrong leadership, mentoring, and stakeholder engagement skills

Skills

Information TechnologyMid-Senior LevelOil And Energy

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