Data Analytics Specialist
Regular Employment
Location: Bangalore, KA, IN
Are you passionate about transforming complex data into strategic insights? Join us as a Data Analytics Specialist where you'll harness the power of Palantir Foundry to build innovative analytics solutions that drive business decisions. This role offers an exciting opportunity to work at the intersection of data engineering, analytics, and business strategy in a dynamic global environment.
About the Role
As a Data Analytics Specialist, you'll design and deliver comprehensive analytics solutions using Palantir Foundry. You'll own data solutions end-to-end, partnering closely with stakeholders to convert raw data into actionable insights through scalable pipelines and interactive applications. Your work will directly impact how our organization leverages data for strategic decision-making.
Key Responsibilities
Develop scalable data transformation pipelines using PySpark within Palantir Foundry
Build analytics applications leveraging Foundry-Workshop and PowerBI
Translate complex business requirements into clear technical specifications, partnering with Product Owners and Architects
Collaborate with data engineers, data scientists, and product owners to deliver end-to-end data products
Troubleshoot and resolve functional and technical data issues for stakeholders
Support emerging AI and machine learning capabilities within analytics solutions
Evaluate and prototype new analytics platform capabilities
Work effectively within a global, cross-functional team to deliver robust, high-impact data products
Develop trusted International Programs insights to enable accurate, data-driven decision-making
About the Team
The Data Products & Analytics team in BLR is at the forefront of data transformation initiatives. You'll be joining a dynamic team responsible for onboarding Managing General Agents (MGAs) into the CorSo Data landscape, ensuring seamless data integration and enabling powerful analytics capabilities. The team plays a crucial role in transforming raw data into valuable business insights that drive strategic decision-making across the organization.
About You
You thrive on tackling complex big data challenges and transforming data into valuable strategic assets. With a proactive mindset and a strong sense of ownership, you approach tasks with a can-do attitude. As a self-starter and effective collaborator, you're excited to deliver innovative solutions within a fast-paced, global environment.
We are looking for candidates who meet these requirements:
A degree in computer science or a related field, with a strong foundation in data engineering and analytics
7+ years of experience in designing and developing data pipelines
Strong knowledge of SQL, Python and PySpark
Proficiency in leading BI tools such as Foundry Workshop, Power BI, Tableau, or QlikView for designing, developing, and deploying dashboards and reports
Experience in creating KPIs, metrics, and data visualizations to simplify complex business problems
Experience working with large data sets on enterprise data platforms and distributed computing
Proficiency in data storytelling
Demonstrated strength in data modelling, ETL and storage/Data Lake development
These are additional nice to haves:
Experience with TypeScript/JavaScript/HTML/CSS
Experience with Palantir Foundry
Experience with predictive analytics and machine learning models
Knowledge of Insurance Domain, Financial Industry or Finance function in other industries
Experience in collaborating and working with global business stakeholders
Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments
Multi-tasking abilities to prioritize, plan, and deliver synchronously
Desire to understand detailed requirements and facilitate the process of analyzing solution options
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week
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.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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Reference Code: 137513
Reference Code: 137513
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