Data AnalystOur opportunity Zurich Global Employee Benefits Solutions (ZGEBS) is a business unit within Zurich Insurance Group whose objective is to support multinational customers in structuring global employee benefits solutions that cover local and/or international employees in multiple countries. ZGEBS manages and operates captive, pooling and International Program (ZIPE) solutions that combine local insurance policies – provided by local Zurich units or selected external partners – into a reinsurance arrangement for multinational customers. These offerings cover employee benefits insurance risks such as death, disability, accident and medical coverages.
We are excited to invite applications to implement our ambitious objective to grow and expand our business around the world.
The Data Analyst works cross functionally with Sales, Underwriting and Finance to deliver key services to our global customers, including portfolio analysis and performance reporting.
You have experience in working in a fast-paced international business environment, are an analytic thinker who likes to solve problems and deliver service excellence in collaboration with different stakeholders. You like to work in a dynamic team where activities are based on capabilities, skills and willingness to help each other.
Your role As a Data Analyst your main responsibilities will involve: Manage relationship and activities related to our Network Partners and CustomersProducing professional Customer and Network Partners data analytics/reportsStreamlining processes and data analysis to ensure excellent delivery standardsProactively ensuring customer satisfaction through the monitoring and implementation of related metrics.Establishing best practices to optimize end service deliveryEnsuring financial and accounting closing are performed according to deadlinesActively collaborating with other teams and Subject Matter Experts to identify relevant data sources, help develop and improve operational and customer reportsYour Skills and Experience As a Data Analyst your skills and qualifications will ideally include: A university degree, preferably in an analytical numerical field (Finance/Accounting, Data Science, Math, or Statistics)Relevant work experience of 3-5 years related to the above-mentioned responsibilitiesBasic knowledge in the insurance business is preferred.Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)Ability to work with large data sets across different business segments and extrapolate findings to support decision-makingA good understanding of Excel/Power BI, Python/R and experience in visualizing data using tools is an assetCommunication, presentation, project management and relationship skillsPrimary work location is Barcelona. Please apply with your CV in English.
Who we are Looking for a challenging and inspiring work environment where you can make a difference? At Zurich, millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You'd give them confidence and reassurance by protecting what they love most. It's a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.
So be challenged. Be inspired. Help us make a difference. At Zurich, we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age or disability.
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
We are an equal opportunity employer who knows that each employee is unique - that's what makes our team so great!
Location(s): ES - BarcelonaSchedule: Full Time
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