About the role
We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.
Responsibilities:
- Analyze historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
- Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
- Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
- Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
- Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
- Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.
Requirements:
- 3-6 years of experience in data analytics, business intelligence, data engineering, or a similar analytical role.
- Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyze large datasets.
- Experience working with Google Sheets and implementing automation through data pipelines or workflows.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
- Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
- Ability to collaborate effectively with remote and geographically distributed teams across different time zones.