Senior Data Analyst

Role Overview: As a Senior Data Analyst at Data Unveil, you will be an integral part of the team, responsible for interpreting data, analyzing trends, and providing valuable insights to drive decision-making processes. Your role will involve analyzing large datasets, creating reports and visualizations, collaborating with cross-functional teams, and leading analytical initiatives to enhance business performance. Key Responsibilities: - Analyze large datasets to uncover trends, patterns, and correlations. - Create and maintain reports, dashboards, and visualizations to communicate key insights. - Collaborate with cross-functional teams to understand business needs and develop analytical solutions. - Conduct ad-hoc analysis to address specific business challenges. - Identify opportunities for process enhancement through data analysis. - Stay informed on industry trends and best practices in data analytics and visualization. - Present findings and recommendations to diverse audiences through reports and presentations. - Lead analytical initiatives and mentor junior analysts in data modeling, visualization, and analysis best practices. - Partner with leadership teams to define KPIs, measurement frameworks, and reporting standards across departments. - Drive data quality and governance initiatives to ensure data accuracy, consistency, and reliability across systems. - Collaborate with data engineering teams to enhance data infrastructure and optimize data pipelines for analytical efficiency. - Advise business leaders on leveraging analytics for strategic planning, forecasting, and performance optimization. - Champion a data-driven culture by promoting analytical thinking and evidence-based decision-making across the organization. Qualifications Required: - Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. - Proven experience as a data analyst, demonstrating a history of delivering actionable insights. - Proficiency in SQL for data manipulation and extraction. - Familiarity with statistical analysis tools. - Strong problem-solving skills and the ability to handle complex datasets. - Excellent communication and collaboration abilities across all organizational levels. - Detail-oriented, organized, and adept at managing multiple projects simultaneously. - Experience with cloud-based data platforms like AWS or Azure is a plus.,