Data Analyst
2 weeks ago
As a Data Analyst specializing in Commercial Insurance Data Analytics, you will play a key role in analyzing and interpreting structured and unstructured data to provide actionable insights. Your work will directly support our U.S. client's business objectives by ensuring data-driven decisions that improve operational efficiency and strategic outcomes. You will collaborate closely with data engineers and domain experts, testing analytical results and presenting insights to key stakeholders.
Key Responsibilities- Data Analysis & Interpretation
- Analyze structured and unstructured data from various sources within the Commercial Insurance domain.
- Interpret complex data sets and provide clear, actionable insights to domain users.
- Develop and maintain reports, dashboards, and visualizations to communicate findings effectively.
- Data Processing
- Perform data processing tasks including slicing, dicing, querying, and cleaning of data to prepare it for analysis.
- Use tools such as Microsoft Excel and Python to manipulate and analyze data efficiently.
- Testing & Validation
- Test and validate analytical results to ensure accuracy and reliability.
- Collaborate with data engineers to refine data models and processes, ensuring alignment with business needs.
- Stakeholder Communication
- Present insights and recommendations to stakeholders in a clear and concise manner.
- Work closely with domain users to understand their needs and tailor analyses.
- Experience & Domain Knowledge
- 4-6 years of experience in data analytics, with a strong focus on the Commercial Insurance domain.
- Deep understanding of the nuances of Commercial Insurance data and the ability to translate data into business insights.
- Technical Skills
- Proficiency in data processing and analysis using tools such as Microsoft Excel, Python, and SQL.
- Experience with Postman and Rest API for querying and interacting with data sources.
- Ability to work with both structured and unstructured data, with a strong analytical mindset.
- Soft Skills
- Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
- Strong problem-solving abilities and attention to detail.
- Highly motivated, with the ability to work independently and collaboratively in a fast-paced environment.
- Flexibility to work in shifts that align with U.S. client requirements.
- Eagerness to work in a collaborative environment alongside data engineers and other technical teams.
- Experience working with U.S. based clients, particularly in the insurance sector.
- Familiarity with advanced data visualization tools like Power BI or Tableau.
- Strong project management skills and experience with Agile methodologies.
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