Remote Lead Data Analyst

Description:

• Lead a team of data analysts in driving data analysis initiatives and developing actionable insights and recommendations.
• Collaborate with cross-functional teams to deliver insightful reports, dashboards, and analyses that impact business decisions.
• Provide strategic guidance, mentorship, and technical leadership to foster a culture of excellence and innovation.
• Conduct statistical analysis, data exploration, and data visualization to uncover trends and insights.
• Develop predictive models and forecasts to support business decision-making.
• Ensure data quality and integrity through validation, cleaning, and reconciliation tasks.
• Implement monitoring mechanisms to assess the performance and impact of data analysis initiatives.
• Define best practices for data analysis and promote collaboration among team members.
• Mentor and coach junior data analysts to support their skill development and career growth.

Requirements:

• Bachelor's degree or higher in Statistics, Mathematics, Economics, Computer Science, or related field.
• 5+ years of experience in data analysis, focusing on statistical analysis, data visualization, and business intelligence.
• Proven leadership experience in leading data analysis teams and delivering impactful insights.
• Proficiency in data visualization tools like Tableau, Power BI, or matplotlib, and SQL for data querying.
• Strong statistical analysis skills, including hypothesis testing, regression analysis, and time series forecasting.
• Experience with predictive modeling techniques, machine learning algorithms, and proficiency in Python or R.
• Excellent communication and collaboration skills to work effectively in cross-functional teams.

Benefits:

• Competitive salary ranging from $170,000 to $230,000 per year, based on experience and qualifications.
• Comprehensive benefits package including health insurance, retirement plans, and wellness programs.
• Flexible work arrangements with remote work options and flexible hours.
• Generous vacation and paid time off.
• Professional development opportunities with access to training programs and conferences.
• State-of-the-art technology environment with cutting-edge tools and resources.
• Vibrant and inclusive company culture with growth and advancement opportunities.
• Exciting projects with real-world impact in data-driven decision-making.