Data Analyst Job in New York City, NY at TravelOGuide Services Ltd

TravelOGuide Services Ltd is seeking a motivated and detail-oriented Data Analyst to join our dynamic team in New York City, New York . In this full-time role, you will analyze complex data sets to uncover insights that drive strategic business decisions and growth. This position offers a unique opportunity to work in a fast-paced, innovative environment where your analytical skills will directly impact company success. Key Responsibilities Analyze large data sets to identify trends, patterns, and actionable insights that support business improvements. Create compelling data visualizations and detailed reports using Tableau and Power BI to communicate findings effectively to stakeholders. Develop and maintain robust SQL databases ensuring accurate data storage, retrieval, and integrity. Utilize programming languages such as Python and R for advanced statistical analysis and data manipulation. Collaborate cross-functionally with teams to understand data requirements and provide analytical support for diverse projects. Continuously monitor key performance metrics and deliver actionable recommendations to improve operational efficiency. Contribute to the development and enforcement of data management best practices to enhance data governance and quality. Required and Preferred Qualifications Bachelor's Degree in Data Science, Statistics, or a related quantitative field. Proficiency in SQL for database management and complex data manipulation. Strong expertise in data visualization tools such as Tableau and Power BI. Experience with programming languages including Python and R for statistical computing. Familiarity with statistical analysis methods and database management principles. Minimum 2 years of experience as a Data Analyst or in a similar analytical role preferred. The Data Analyst will report directly to the Analytics Manager and collaborate closely with fellow data analysts, business intelligence professionals, and cross-departmental teams to support data-driven decision-making.