Data Analyst II
Bengaluru, KA, IN
Swiss Re
About the role:
You will be a part of a pool of analysts who are responsible for analyzing the financial performance of the Business Unit Life & Health Reinsurance (BU L&H Re). We support our leading client managers and underwriter in managing and steering their client relationships and portfolios. Within your role, you will be closely working with all teams within BU L&H Re Finance across locations to drive the digital transformation and analytics initiatives,
The core activities of the Data Analyst in the Data and Analytics team include:
- Gathering the requirements of sub-BU teams like Market FP&A, Reporting & Controlling etc. and making sure the data availability with granularities as needed by the teams.
- Simplify the data & tools landscape: identify simplification opportunities within the BU where deliverables require lot of manual efforts & tasks are repetitive & recurring in nature & try to automate them with the help of available tools.
- Drive, Build & Own BU specific tools and dashboards in coordination with other key teams to jointly drive forward BU agnostic analysis tools for market FP&A, R&C and other BU teams.
- Responsible for performing data quality checks for all conducted and delivered tools & solutions.
- Promoting the tools & solutions build by our team while creating awareness on their utilities, capabilities, and benefits to the users within the BU and other cross functional teams.
- Involvement in various other BU projects supporting Planning and Projections activities etc
- Use your strong analytical, data processing, and communication skills to provide opinions and valuable input.
- Quickly familiarize & adapt yourself with new and changing technologies and systems.
- Work in close collaboration with colleagues in BU Finance and other cross functional team.
About the team:
Data and Analytics team supports one of the key group goals i.e. Drive digital transformation and analytics. Our team caters the data & tools needs of business teams like Market FP&A, R&C etc. This enables business teams in performing their reporting and analytics activities efficiently and effectively while investing more time & resources on analysis than preparation of the reports.
About you:
- Engineering Graduate or MBA (Finance) with strong Data/Analytical/Programming skills
- Successfully completed university degree, preferably in Engineering, Finance or equivalent
- Overall, 3+ years of working experience in (re-)insurance analytics, banking, or similar functions
- Basic understanding of financial reporting process or familiarity of the US GAAP and IFRS accounting frameworks is preferable.
- Strong curiosity about/motivation to learn about insurance/reinsurance.
- Proficiency in MS Office applications (Excel, PowerPoint, Word, Access)
- Proficient in Power Query & Pivot and in languages like DAX, Python, R etc.
- Good exposure of libraries like pandas, NumPy, pyspark (For Stargate Tool), matplotlib etc.
- Creating and maintaining Client Administration modelling files using Macro and VBA
- Identify, analyse and interpret trends and patterns in complex data sets, draw conclusions and make recommendations to management to improve operational performance. Also make predictions that the management can address issues proactively and not wait until the impact is made
Specific soft skills
- Approaches problems with curiosity and open-mindedness, fast learner
- Team-player, willingness to contribute actively to the overall team spirit
- Ability and enthusiasm to work in a global and multicultural environment
- Good communication and interpersonal skills
- Ability to express him-/herself effectively in one-on-one conversations and small groups
Specific professional skills
- Strong analytical skills and ability to focus on details without losing track of the bigger picture
- Strong analytical/data processing skills and methodological/conceptual understanding
- Ability to work independently and in conjunction with others.
- Excellent organizer, flexible and able to work optimally under tight timelines
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.
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Reference Code: 128995
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data quality Engineering Excel Finance Matplotlib NumPy Pandas PySpark Python R
Perks/benefits: Flex hours Health care
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