Senior Data Analyst

Lead the design and implementation of data analysis strategies and methodologies.

Oversee data collection, cleaning, and transformation processes to ensure data quality and accuracy. 

Develop and deliver advanced analytical reports, dashboards, and visualizations to support strategic decision-making. 

Perform complex statistical analyses and build predictive models to uncover trends and insights. 

Collaborate with stakeholders to understand business needs and translate them into data-driven solutions. 

Mentor and guide junior data analysts, providing support and training as needed.

Manage and optimize data processes and systems, ensuring efficiency and scalability.

Stay current with industry trends and emerging technologies to continuously improve analytical practices. 

Requirements: 

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Marketing, or a related field. 
• Minimum of 5 years of experience in data analysis or a related field.
• Advanced proficiency in data analysis tools and techniques, including SQL, Excel, and data visualization tools (e.g., Tableau, Power BI). 
• Strong expertise in statistical analysis and experience with statistical software (e.g., R, Python). 
• Proven experience in developing and implementing data models and predictive analytics. 
• Excellent problem-solving skills and ability to interpret complex data sets.
• Strong communication skills, with experience presenting data findings to non-technical stakeholders. 

Nice to Have: 

• Experience with big data technologies and platforms (e.g., Hadoop, Spark).
• Familiarity with machine learning techniques and frameworks. 
• Knowledge of data governance and data privacy practices. 
• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Prior experience in a leadership or project management role within a data team.