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Location: 

Bangalore, KA, IN

Data & Analytics Engineer

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.

 

 

About the Role

Are you a business analyst with a strong technical background ready to support our digital transformation? Are you hardworking and do you excel in business requirements analysis, data modelling, data transformation and data governance and understand how this can accelerate, automate and improve the quality of finance and operations processes? Are you passionate about interacting with people across Swiss Re on a range of projects? Then you might be the person we are seeking!

 

We are looking for the right person to join the Group Cost Management team to help us to harness digital technology and analytics to transform the efficiency and quality of what we do and to introduce new insights to help the businesses that we support. In your role you will have the chance to:

  • Evolve the “analysis and reporting factory” of Group Cost Management
  • Define and build analytics solutions including dashboards
  • Design, build and maintain end-to-end data processes and solutions
  • Review, optimize and transform data flows and build integrated data marts
  • Identify areas of improvement and suggest/drive remedial actions
  • Identify and help to design the right processes and data architecture
  • Shape and contribute to appropriate data governance along the whole data lifecycle
  • Monitor and help improve data quality
  • Collaborate closely with our GCM business process owners, IT partners and data scientists
  • Benefit from our powerful technological platforms

You will work with the team colleagues in Bangalore, Bratislava and Zurich as well as colleagues and stakeholders globally. 

 

About the Team

Group Cost Management ("GCM") is part of a broader unit of about 200 people with responsibility for cost planning and management as well as delivery of cash and cost operations for Swiss Re. GCM itself has a total of about 25 people with responsibility to facilitate group-wide cost processes from budgeting to business performance impact. It closely interacts with top management and a variety of senior stakeholders across Swiss Re including Group Reporting, Tax, FP&A teams and many more. The GCM Transformation Office is a new team of 5 people based in Bangalore, Bratislava and Zurich, with responsibility to:

  • Steer the transformation roadmap and facilitate change management, incl. portfolio steering, project coordination and capability building
  • Lead initiatives to put in place analytics & reporting as well as controlling & governance solutions, and architect the GCM data architecture to enable that
  • Identify areas for optimization to improve efficiency and effectiveness of GCM processes and services
  • Provide targeted analytics to support cost, consumption and transformation related decision making
  • Explore & harness new technologies and support strategic initiatives

About You

You have 10+ years of data engineering experience in a finance, operations or similar context including more than one of:

  • Performing business analysis
  • Design and implementation of data analytics processes solutions
  • Design and implementation of new visualization dashboard reporting
  • Data integration and/or generation of new data repositories
  • Implementation of advanced / machine learning based automation e.g. using Python or R to enhance analytics processes
  • Ensuring smooth operation of analytics processes and solutions

 You should also be able to show that you are able to:

  • Lead and deliver discreet projects to fulfil the above areas
  • Interact with colleagues from technology organization and business units
  • Create compelling presentations
  • Work under pressure
  • Apply agile methodology in your daily work
  • Appropriately document processes and solutions
  • Understand and adapt to the changing needs of stakeholders
  • Identify knowledge gaps and eagerness to learn
  • Communicate effectively in English
  • Be an outstanding teammate

And, that you have:

  • Expert knowledge on business analytics
  • Expert knowledge on SQL and ETL tools
  • Expert knowledge on MS Power Platform as well as MS Excel and VBA
  • Strong knowledge and experience working with Python
  • Knowledge of Azure Data solutions (such as ADF, DWH) or related
  • Knowledge of Palantir Foundry
  • Experience defining and building conceptual, logical and physical data architectures
  • Architectural solution design experiences
  • Proficiency in data visualization tools such as MS PowerBI, Tableau and/or SAP Analytics Cloud
  • Strong knowledge of Finance and Operations processes and organizations
  • A university degree or a relevant professional qualification

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.


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Reference Code: 116967 

 


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