About this role
The team is seeking a skilled Data Analyst with a strong background in data processing, analytics, and cloud platforms. The ideal candidate will have a proven track record of analyzing and processing large structured datasets to derive actionable insights.
Key Responsibilities:
- Analyze and process large structured datasets using SQL, Python, Pandas, and PySpark.
- Build, optimize, and maintain data transformation pipelines for analysis-ready datasets.
- Perform data cleansing, validation, and quality checks using regular expressions and other data validation techniques.
- Develop and optimize analytical and reporting queries using Google BigQuery.
- Integrate external data sources to enhance data analysis and reporting capabilities.
Required Skills & Qualifications:
- 5-8 years of experience in data analysis or a related field.
- Proficiency in SQL, Python, Pandas, and PySpark.
- Strong experience with data transformation and pipeline optimization.
- Familiarity with data validation techniques and tools.
- Experience with Google BigQuery or similar data warehousing solutions.
What we offer:
- An opportunity to work in a dynamic environment with a focus on innovation.
- Opportunities for professional growth and development.
- A collaborative team culture that values diverse perspectives.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.