Big Data Analyst Lead

If you are a data-driven individual with a passion for uncovering insights and leading a team, then we want to hear from you! Join our dynamic and innovative team as a Big Data Analyst Lead and be a key player in driving our company's success.

Position: Big Data Analyst Lead

Location: New York, New York, United States

Salary: $138 Per hour

Job Description: We are looking for a highly skilled and experienced Big Data Analyst Lead to join our team. As a Big Data Analyst Lead, you will be responsible for managing and analyzing large datasets to uncover insights and trends that will help drive business decisions. You will be the go-to person for all things related to data analysis and will lead a team of data analysts to ensure the accuracy and quality of our data.

Key Responsibilities:

• Develop and implement data analysis strategies that align with the company's objectives and goals
• Lead and mentor a team of data analysts, providing guidance and support in their day-to-day tasks
• Design and maintain data systems and databases, ensuring data accuracy and integrity
• Collect, organize, and analyze large datasets from various sources to identify patterns and trends
• Use advanced statistical methods and tools to uncover insights and make data-driven recommendations
• Collaborate with cross-functional teams, such as marketing, sales, and product, to understand their data needs and provide actionable insights
• Create visualizations and dashboards to effectively communicate complex data findings to stakeholders
• Stay up-to-date with the latest technologies and tools in data analytics and implement them to improve processes and efficiency
• Conduct regular audits to ensure data quality and identify and resolve any discrepancies
• Train and educate team members on data analysis techniques and tools
• Present findings and recommendations to senior management and executives
• Identify opportunities for process and system improvements to optimize data analysis and reporting

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• Minimum of 5 years of experience in data analysis, with at least 2 years in a leadership role
• Strong understanding of data mining, data modeling, and data warehousing concepts
• Proficient in SQL and other programming languages, such as Python or R
• Experience with data visualization tools, such as Tableau or Power BI
• Knowledge of advanced statistical methods and techniques, such as regression analysis and machine learning
• Proven experience in managing and analyzing large datasets from multiple sources
• Excellent problem-solving and critical thinking skills
• Strong communication and interpersonal skills
• Ability to work independently and in a team environment
• Attention to detail and strong organizational skills
• Prior experience in the tech industry is a plus