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. We cover both Property & Casualty and Life & Health. 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.
Job Details
GIA Data Analyst
Location: Bangalore
Corporate Title: Assistant Vice President
Division:
Department:
About the role
As a Data Analyst in the Digital & Analytics Bangalore team, you will help deliver impactful end-to-end solutions that improve the effectiveness and efficiency of internal auditing. The role provides an opportunity to apply your technology and analytics expertise while working in an agile environment.
Your key tasks include translating the requirements of Group Internal Audit (GIA) into end-to-end solutions by using GIA’s existing applications, and, available reporting and automation technologies. You will also work with IT and users to handle all ongoing support activities, identify improvements and, help GIA follow Swiss Re’s technology related internal policies.
About the team
GIA provides independent and objective assurance that assists the Board of Directors and Group Executive Committee to protect the assets, reputation and sustainability of the organisation. We perform audit activities designed to assess the adequacy and effectiveness of the Group’s internal control systems, and to improve the Group’s operations.
We build our success on our people and aim to attract, retain and develop critical thinkers and leaders who have a passion to perform!
About You
Education and experience:
- University degree in Computer Science or Engineering.
- Demonstrated ability in a role analysing significant data volumes.
- Experience in a role where business requirements are met with technology solutions and then supporting those applications/solutions.
- Proficient in SQL, at least one programming language (e.g. Python) and reporting / data visualization tools (e.g. Tableau/Power BI).
- Superb interpersonal skills and solid attention to detail.
- Experience with agile working practices (e.g. scrum).
- Experience with robotic process automation (preferred)
- Experience working with internal audit or other assurance providers such as risk management and compliance (preferred).
Personal skills:
- Critical thinker that sees the “big picture” (e.g. overall themes, trends, goals), generates innovative ideas and solutions to problems and makes recommendations in the face of complexity, conflicting pressures and ambiguous circumstances.
- Professional communicator, able to gain and maintain a trusted relationship while delivering difficult messages
- Structured analyst, capable of understanding user requirements and translating them into technology-related solutions.
- Team worker, able to listen to others but also influence in order to see the wider picture and achieve a vision
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, including gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.
Swiss Re offers modern work models and attractive work places that allow all employees to adapt to changing work preferences and life phases.
