Data Analyst

ICICI LOMBARD is actively seeking a highly skilled and experienced Consultant - Data Analyst to join our dynamic team. This pivotal role involves leveraging strong analytical capabilities to interpret complex datasets, translate business requirements into robust analytical solutions, and deliver actionable insights that drive strategic business decisions. The ideal candidate will possess a profound understanding of data analysis principles and an exceptional ability to communicate findings effectively to various stakeholders.

Key Responsibilities

• Comprehend diverse business challenges and effectively translate them into precise data and analytical requirements.
• Extract, manipulate, and meticulously analyze large-scale datasets using advanced SQL techniques.
• Develop and optimize intricate SQL queries, encompassing joins, aggregations, subqueries, Common Table Expressions (CTEs), and sophisticated window functions.
• Design, build, and maintain interactive dashboards and comprehensive reports utilizing leading visualization tools such as Tableau and/or Power BI.
• Identify opportunities for and implement automation of recurring reports and analytical processes to enhance efficiency.
• Conduct thorough data validation and implement stringent quality checks to guarantee the accuracy and consistency of all reporting outputs.

Requirements

• A minimum of 4 years of overall professional experience in Data Analytics, Business Analytics, Business Intelligence, or a closely related quantitative field.
• At least 3 years of hands-on experience with SQL, demonstrating strong proficiency in querying and analyzing extensive datasets.
• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Business Analytics, or another relevant quantitative discipline.
• Experience with data visualization tools like Tableau or Power BI is highly advantageous.
• Ability to join immediately is preferred.

What We Offer

• An opportunity to work with a leading organization in a challenging and rewarding environment.
• A collaborative work culture that fosters professional growth and continuous learning.
• Exposure to large-scale data projects and advanced analytical methodologies.