The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.
Responsibilities
- Understand day-to-day business challenges and identify opportunities where data and AI can provide solutions
- Compile, clean, and analyze structured and unstructured data from multiple sources
- Develop dashboards and visualizations to present insights in a clear and compelling way
- Perform exploratory data analysis (EDA) to uncover patterns, trends, and anomalies
- Build and optimize data pipelines for efficient data processing (ETL/ELT)
- Apply basic machine learning models to enhance business insights (e.g., classification, forecasting)
- Work with big data technologies to handle large-scale datasets
- Collaborate with cross-functional teams (product, business, engineering)
Qualifications
- Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
- 1 - 2 years Data Analysis experience
- Proficient in SQL
- Experience with Python,Tableau / Power BI
- Experience handling large datasets
- Basic understanding of: Machine learning concepts & predictive analytics
