Senior Data Analyst

Chubb is looking for Senior Data Analyst to join our dynamic team and embark on a rewarding career journey The Senior Data Analyst is responsible for analyzing large datasets, interpreting data, and providing actionable insights to support business decision-making

They will work closely with cross-functional teams to identify data needs, design data collection methods, perform data analysis, and communicate findings to stakeholders

The Senior Data Analyst plays a crucial role in driving data-driven strategies and improving overall business performance

Key :Collect, clean, and transform large datasets from various sources to ensure data accuracy and integrity

Analyze complex datasets using statistical techniques and data mining methods to identify trends, patterns, and insights

Interpret and communicate findings to both technical and non-technical stakeholders through reports, visualizations, and presentations

Collaborate with cross-functional teams to understand business requirements and develop data analysis plans to address specific objectives

Develop and maintain data models, dashboards, and reports to provide ongoing performance metrics and KPIs

Identify data quality issues, perform data validation, and implement data cleaning and data normalization processes

Utilize data visualization tools (eg, Tableau, Power BI) to create interactive dashboards and visual representations of data

Stay updated with industry trends, emerging technologies, and best practices in data analysis and data management

Identify opportunities to optimize data collection, analysis, and reporting processes, and implement efficient and automated solutions

Mentor and provide guidance to junior data analysts, fostering their professional growth and development

Qualifications and Skills:Bachelor's degree in statistics, mathematics, computer science, or a related field

A master's degree is a plus

X years of experience as a Data Analyst, preferably in a senior or lead role

Proficiency in statistical analysis tools such as R, Python, or SAS

Strong knowledge of data analysis techniques, including regression analysis, hypothesis testing, and data mining

Experience with data visualization tools, such as Tableau, Power BI, or QlikView

Solid understanding of SQL for data manipulation and extraction

Familiarity with data warehousing concepts and database systems (eg, SQL Server, Oracle)

Excellent analytical and problem-solving skills, with attention to detail

Strong communication and presentation skills, with the ability to effectively communicate complex data insights to non-technical stakeholders

Ability to work independently and collaboratively in a fast-paced environment, handling multiple projects and priorities