Job description
Key Responsibilities
Data Analysis & Reporting
- Analyze structured and semi-structured data to uncover trends, insights, and opportunities.
- Design interactive dashboards and reports in Tableau for business stakeholders.
- Interpret data to identify key metrics, patterns, and anomalies.
Data Pipeline & ML Support
- Assist in building and maintaining ETL pipelines using Airflow, Databricks, and Python.
- Ensure timely and accurate data flow across systems.
- Contribute to the development and deployment of basic machine learning models for forecasting, segmentation, or classification tasks.
SQL & Data Handling
- Write and optimize PL/SQL queries for extracting and transforming data.
- Conduct data validation and ensure data consistency across reports and dashboards.
Collaboration & Communication
- Work closely with product, business, and engineering teams to understand data needs.
- Translate business questions into analytical tasks and deliver results with clear narratives.
Data Quality & Governance
- Support efforts to improve data accuracy, integrity, and governance.
- Monitor data pipelines and troubleshoot issues as needed.
Required Skills & Experience
- 24 years of experience in data analysis or a similar role.
- Proficiency in SQL/PL-SQL, Python, and Tableau.
- Exposure to cloud-based data platforms such as Databricks, AWS, or GCP.
- Basic understanding of machine learning concepts and hands-on experience with simple ML models (e.g., regression, classification) in Python.
- Strong analytical mindset with attention to detail.
- Ability to communicate insights clearly through visualizations and storytelling.
- Familiarity with data quality practices and pipeline monitoring.