Data Analyst in New York, New York at RIAZ UDDIN AHAMED RABIN

Introduction

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. The ideal candidate will have a passion for analyzing complex data sets, drawing actionable insights, and supporting data-driven decision-making processes. As a Data Analyst, you will play a crucial role in helping our organization leverage data to enhance business operations and drive growth.

Job Responsibilities

As a Data Analyst, your responsibilities will include:

• Collecting, processing, and analyzing large data sets to identify trends and patterns.
• Developing and maintaining data dashboards, reports, and visualizations to support business objectives.
• Collaborating with cross-functional teams to understand business needs and translate them into data requirements.
• Conducting data quality checks and ensuring data accuracy and integrity.
• Providing actionable insights and recommendations based on data analysis to support strategic decision-making.
• Staying up-to-date with industry trends and best practices in data analysis and visualization.
• Assisting in the design and implementation of data collection systems and other strategies that optimize statistical efficiency and quality.

Job Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Analyst or in a similar role
• Proficiency in data analysis tools such as Excel, SQL, and data visualization tools like Tableau or Power BI
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent problem-solving skills and a strong analytical mindset
• Ability to work with large datasets and draw insights from data
• Strong communication skills with the ability to present complex information in an understandable manner
• Understanding of data governance and data quality management principles
• Ability to work collaboratively in a team environment as well as independently