Data Analyst

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.