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Analytics Engineer - Graduate (Hybrid; m/f/x/d)

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Swiss Re

11d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Munich

AI generated summary

  • You should have a relevant degree or equivalent experience, strong work ethic, good communication skills, knowledge of Spark SQL/PySpark, and experience with data visualization tools like PowerBI.
  • You will build data assets for reporting, streamline processes, conduct in-depth analysis using advanced frameworks, and mentor business users in data analysis skills.

Requirements

  • University degree in a relevant quantitative field, e.g. Computer Science, Mathematics, Engineering, Statistics or other / equivalent work experience
  • Passionate about using data and technology to steer the business insights and maximize efficiency of processes
  • Strong work ethic and self-starter who can deliver results quickly
  • Good communication skills and the ability to translate technical concepts
  • Good knowledge of Spark SQL and PySpark
  • Experience visualizing business insights using state-of-the-art data analysis techniques, e.g. using PowerBI preferred

Responsibilities

  • Building data assets to facilitate visualization for reporting purposes and deriving insights
  • Reduce manual processes when it comes to delivering insights
  • Deep dives into portfolios on an ad-hoc basis using state of the art analytical and machine learning frameworks
  • Support our goal to upskill business users data analysis capabilities through mentoring and coaching

FAQs

What is the duration of the Graduate Programme?

The Graduate Programme lasts for 18 months.

What qualifications are required for this position?

A University degree in a relevant quantitative field (e.g., Computer Science, Mathematics, Engineering, Statistics) or equivalent work experience is required.

Is prior experience necessary for applicants?

Applicants should have up to 3 years of professional experience.

What kind of skills are sought in potential candidates?

Candidates should possess good knowledge of Spark SQL and PySpark, experience with data visualization techniques (preferably using PowerBI), strong communication skills, and a passion for data and technology.

Will there be training provided during the Graduate Programme?

Yes, the programme includes both on-the-job and off-the-job training, along with job rotations across different lines of business and departments.

Is there an opportunity for career evolution in this role?

Yes, based on experience and interest, there is significant potential for career evolution to drive future analytics capabilities.

When does the application process close?

The application process will be open until the end of January 2025.

When will candidates be notified about the selection process?

The active selection and interview process will start after the application period ends, and candidates may not hear from us until then.

Does the company have an inclusive culture?

Yes, Swiss Re Corporate Solutions embraces an inclusive workplace culture that encourages diverse perspectives and equal opportunities for all employees.

Are experienced professionals returning to the workforce encouraged to apply?

Yes, experienced professionals returning to the workforce after a career break are encouraged to apply for open positions that match their skills and experience.

Swiss Re helps insurers and direct clients to shoulder risks through re/insurance and other solutions.

Finance
Industry
10,001+
Employees

Mission & Purpose

The Swiss Re Group is a leading wholesale provider of reinsurance, insurance and other insurance-based forms of risk transfer. Dealing direct and working through brokers, its global client base consists of insurance companies, mid-to-large-sized corporations and public sector clients. From standard products to tailor-made coverage across all lines of business, Swiss Re deploys its capital strength, expertise and innovation power to enable the risk taking upon which enterprise and progress in society depend. Founded in Zurich, Switzerland, in 1863, Swiss Re serves clients through a network of over 70 offices globally and is rated "AA-"​ by Standard & Poor's, "Aa3"​ by Moody's and "A+"​ by A.M. Best. Registered shares in the Swiss Re Group holding company, Swiss Re Ltd, are listed in accordance with the Main Standard on the SIX Swiss Exchange and trade under the symbol SREN. We're smarter together.