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    Data and Analytics Support Lead - London, United Kingdom - Swiss Re

    Swiss Re
    Swiss Re London, United Kingdom

    3 weeks ago

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    Description

    About the Role

    We're currently seeking an experienced individual to take on the role of leading our L2 Operations Team within Data & Analytics Re. In this critical position, you'll be at the forefront of ensuring the smooth operation of our data infrastructure by overseeing incident resolution and data quality management.

    Your primary focus will be on leading the L2 operations team, driving continuous improvement initiatives, and collaborating closely with stakeholders to address data requirements and concerns.

    This role offers a unique opportunity to make a significant impact on our organization's data-driven decision-making processes and strategic initiatives. We're looking for someone with a proven track record in data operations and a strong ability to drive change and innovation within a dynamic environment.

    You will be responsible to:

  • Lead L2 Operations Team: Oversee the L2 operations team responsible for resolving incidents and issues in data feeds and loads. Provide guidance, support, and mentorship to ensure timely resolution of issues impacting data foundations (ADM) and downstream data products.
  • Drive Continuous Improvement: Drive continuous improvement initiatives to streamline data processes, enhance operational efficiency, and optimize data quality. Identify areas for automation and implement solutions to minimize manual intervention.
  • Collaborate with Stakeholders: Work closely with stakeholders across the organization to understand data requirements, address concerns, and prioritize initiatives. Build strong relationships with business partners to ensure alignment between data initiatives and organizational goals.
  • Monitor Performance Metrics: Establish key performance indicators (KPIs) and metrics to monitor the effectiveness of data quality and operational processes. Regularly analyse performance data to identify trends, areas for improvement, and opportunities for optimization.
  • Stay Updated on Industry Trends: Stay abreast of industry trends, best practices, and emerging technologies related to data management, quality assurance, and operational excellence. Continuously seek opportunities to enhance skills and knowledge to drive innovation and excellence.

    • About you

    The ideal candidate will possess extensive experience in experience managing operations for applications and IT domains with a flair for data. You will possess strong analytical skills, attention to detail, and the ability to thrive in a fast-paced environment. Excellent communication and collaboration skills are essential, as this role requires working closely with cross-functional teams and stakeholders spanning both business and technical partners. The candidate must demonstrate a proactive and results-driven approach to problem-solving, with a focus on driving continuous improvement and innovation in data quality and operational processes.

    If you are eager to shape the next generation of data foundations in the reinsurance industry and make an impact, then join us in an extraordinary world class data & analytics organization and become part of the transformation of a leading Reinsurance company.

    Your experience

  • Minimum of 7 years of experience in data operations or a related field.
  • Proven track record in managing operational teams and driving incident resolution in data feed and load environments.
  • Strong leadership skills with the ability to mentor and guide a team effectively.
  • Experience in incident management, data quality management, or similar areas.
  • Demonstrated ability to drive continuous improvement initiatives and streamline data processes.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively across teams and departments.
  • Proficiency in data management technologies such as data lakes, SQL databases, data warehouses, and ETL tools and data analysis tools and technologies, such as SQL, Python, or similar.
  • Knowledge of Palantir Foundry would be or similar big data platforms.
  • Reinsurance industry experience is highly valued.
  • Excellent verbal and written English skills.

    • Behavioural Competences

  • Excellent organizational skills.
  • Excellent communication and presentation skills; ability to communicate on different levels of seniority.
  • Team player; enjoying being part of a cross-functional setup.
  • Ability to perform well on time-critical endeavours and on multiple fronts at the time.
  • Strong dedication to quality and 'client' mindset.
  • A passion for learning and continuous improvement, both of yourself and your team members.

    • We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity –diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

    About Swiss Re

    Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

    Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

    Keywords:
    Reference Code: 129339
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