Tech Stack
AWSCloudDistributed SystemsPythonSQLTableau
About the role
- Support the construction of optimized data analyses and ensure data access aligns with business needs
- Review and prioritize data tasks based on project goals
- Identify challenges through data quality reports
- Extract, filter, and refine data sets using SQL and other query languages
- Apply data mining techniques and statistical/machine learning models to analyze patterns and trends
- Interpret analysis results and collaborate with business teams to translate insights into strategies
- Create impactful data visualizations and prepare detailed reports for internal stakeholders and clients
- Iterate on data models and strategies based on feedback and industry trends
- Work with cutting-edge technologies as part of the Professional Services team
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics or a related field.
- 3+ years of experience in data analysis
- Proficiency in SQL and Python
- Experience with data visualization tools (e.g., Metabase, PowerBI, QlikView, Tableau)
- Familiarity with version control systems (Git)
- Familiarity with cloud computing (preferably AWS)
- Knowledge of data warehousing concepts
- Advanced analytical skills in Data Analytics and Statistics
- Experience in data modeling and interpretation
- Strong communication skills and ability to collaborate with stakeholders
- Ability to work independently
- Advanced English proficiency
- Preferred: experience with distributed systems and cloud computing (AWS)
- Preferred: familiarity with DataViz utilizing Tableau
- Preferred: knowledge of Data Lake and Data Warehouse concepts