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Company Description Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities.   This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and occasional travel. You should be comfortable with at least one of the core technologies below and have an interest in at least two others within the core/supporting/principles.

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The Supervisor, Data Engineering oversees the entire data lifecycle, from ingestion and storage to analysis and visualization enablement and is also responsible for leading a team of data professionals, collaborating on the delivery of technical solutions while providing hands-on expertise, architectural guidance, and oversight to ensure successful project outcomes. We are also committed to preventing and removing barriers to employment for people with disabilities, and we invite you to inform us should you have any accessibility or accommodation needs.

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Role Purpose: As Global Master Data Business Analyst you will support the implementation of a multi-level data program aimed at improving Master Data Quality and Compliance across various domains in Logistics Master Data including Materials Management, Production & Planning master data and Plant Maintenance. Represent the Global Master Data Management Team in global projects across various functions, ensuring that standards are consistently implemented. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences.

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Requirements You will build strong relationships with senior stakeholders in all areas of the business, understanding what data and analytics are required, prioritising and aligning with the strategic analytics roadmap and partnering with data engineers and other technical teams to deliver work of the highest quality. Stay updated with advancements in analytics tools and technologies, and the latest industry trends, evaluating their potential to improve our data analysis capabilities. Demonstrated experience of contributing to the design and delivery of analytics strategies in a corporate environment.

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The Head of Data Analytics will work within the data team to own the production, interpretation and dissemination of high quality analytical data to both the different analyst communities and different end-user stakeholders across the company. Demonstrated experience of developing and implementing analytics strategies in a corporate environment.

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They will ensure consistency and integrity of data across the SCOR and SCOR Syndicate. " Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group.

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In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders and our clients in promoting insights driven culture, creative and cutting edge analytic solutions and best practices to drive business performance with a clear commercial 'value' and measurable 'return'. Results oriented with strong analytical, consultative and problem-solving skills, with demonstrated intellectual and analytical rigor Familiarity with modern distributed systems, including both Hadoop/SQL/MLP and Apache Spark etc.

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The team provides support in choosing the right product, onboarding new vendors and data products to the business in a timely fashion, ensuring compliance and reporting are maintained as well as supporting the business with raising data queries to providers. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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The position comes with a high level of responsibility and would suit a candidate who enjoys making a difference through meaningful development and insight across operational, marketing and customer experience, all with the goal of bringing our audiences closer than ever to the sports they love with our best-in-class products. Provide actionable insights to advertising & marketing team colleagues and client partners to influence the evolution of customer and marketing activity. PL/PgSQL and PL/SQL Data quality/validation experience: designing metrics and KPIs in order to verify our releases are of the highest standard.

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