Roles and Responsibilities:
- Collect, clean, and preprocess large datasets from various sources to ensure data integrity and accuracy.
- Perform in-depth data analysis using SQL, Python, and R to identify trends, patterns, and insights.
- Develop and maintain interactive dashboards and reports using Microsoft Power BI and Tableau to visualize key performance indicators (KPIs) and business metrics.
- Apply statistical methods and machine learning techniques to build predictive models and support data-driven decision-making.
- Conduct A/B testing and analyze results to optimize business strategies and product features.
- Interpret complex data findings and translate them into clear, concise, and actionable recommendations for stakeholders.
- Communicate findings effectively through written reports and verbal presentations, ensuring all stakeholders understand the implications of the data.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Utilize business acumen to frame analytical problems and ensure that insights align with strategic objectives.
- Apply logical reasoning to troubleshoot data discrepancies and develop robust analytical solutions.
Skills and Qualifications:
- Proficiency in SQL for data extraction and manipulation, coupled with strong Python and R programming skills for advanced analysis and modeling.
- Expertise in data visualization tools such as Microsoft Power BI and Tableau, alongside a solid understanding of statistical principles and quantitative analysis.
- Demonstrated ability in Data Analysis, Machine Learning, and A/B Testing, supported by excellent Communication and Verbal Communication skills.
- A keen Business Acumen and strong Logical Reasoning abilities, complemented by proficiency in Excel and Report Writing.
