Roles & Responsibilities:
- Collect, clean, preprocess, and analyze complex data sets from various sources to derive meaningful insights and identify trends.
- Independently conduct data analysis and modeling to support business initiatives and solve complex problems.
- Develop and maintain data reports, dashboards, and visualizations to effectively communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand their data needs and provide advanced analytical support.
- Design and implement data quality checks and validation processes to ensure data accuracy and integrity.
- Utilize statistical techniques and basic algorithms to uncover patterns and make data-driven recommendations.
- Perform ad-hoc analysis and develop automated processes and tools to streamline data analysis workflows.
- Stay updated on industry trends, best practices, and emerging technologies in data analysis and data management.
- Mentor and provide guidance to junior data analysts, sharing your knowledge and expertise.
REQUIRED EDUCATION, KNOWLEDGE, AND SKILLS:
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 5+ years of experience in a data analysis role, demonstrating a strong understanding of data analysis techniques and methodologies.
- Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar.
- Experience with data visualization tools such as Tableau, Power BI, or similar, to create interactive visualizations and reports.
- Extensive experience in data analytics and have demonstrated the ability to lead and drive complex projects.
- Ability to collaborate with cross-functional teams, and provide strategic insights to guide decision-making.
- Strong analytical thinking and problem-solving skills, with the ability to independently analyze complex data sets and draw meaningful insights.
- Knowledge of statistical concepts and experience applying statistical techniques.
- Excellent verbal and written communication skills to effectively present data findings and insights to stakeholders.
- Strong attention to detail and ability to work with large datasets efficiently.