Job Description
We are looking for a curious and analytical team members with a strong foundation in statistics and hands-on experience working with data at scale. You will be curious, detail-oriented, and eager to learn.
Some of the key responsibilities in the role involves
- Exploring and analysing large datasets identifying trends, relationships, and outliers
- Applying core statistical techniques (e.g., regression analysis, hypothesis testing, descriptive statistics) to extract insights and support decision-making
- Building clear, insightful reports and dashboards in BI to communicate findings to stakeholders
- Assisting with data preparation and exploratory analysis to support clean, accurate datasets for use in models and reports
- Performing data cleaning, transformation, and validation using internal tools and standard techniques
- Assisting in the development and validation of data pipelines that support scalable analytical and machine learning models
- Collaborating with business and product teams to frame questions analytically and help shape data-driven solutions
- Documenting analysis processes and presenting findings in a structured and reproducible manner
To be successful in the role you will bring:
- Strong understanding of statistical concepts and data interpretation
- Proficiency in Python for data manipulation and analysis
- Experience with PySpark / SQL for working with large datasets in Databricks or similar platforms
- Exposure to data visualization tools (e.g., Power BI)
- Strong problem-solving and inquisitive thinking skills
- Ability to communicate technical findings clearly to both technical and non-technical audiences
- Ability to work collaboratively in a team environment
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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