Responsibilities:

- Perform data analysis and interpretation using statistical techniques and tools such as Python, SQL, and Excel
- Collaborate with cross-functional teams to develop key performance indicators (KPIs) that align with business objectives
- Provide actionable insights and recommendations based on data analysis to drive business decisions
- Conduct root cause analysis (RCA) to identify issues and implement solutions for process improvement
- Design and develop data visualizations and interactive dashboards to communicate analytical findings to stakeholders
- Support the implementation and maintenance of data management systems, including data collection, cleansing, and  storage
- Contribute to the continuous improvement of data analysis methodologies and processes

Requirements:

- Proven experience as a Data Analyst or similar role
- Strong proficiency in Python, SQL, and Excel
- Experience with data visualization tools such as Tableau or Power BI
- Excellent analytical skills with the ability to interpret complex data sets
- Solid understanding of statistical techniques and modeling concepts
- Familiarity with root cause analysis (RCA) methodologies
- Strong written and verbal communication skills to effectively present findings and insights to stakeholders
- Ability to work independently and collaboratively in a team environment
- Detail-oriented with strong problem-solving abilities
- Experience with data management systems and data warehousing concepts is a plus
- Knowledge of programming languages such as R or SAS is a plus
- Experience with machine learning algorithms and predictive modeling is a plus