A2-Analyst, COA

Key Responsibilities

Data Engineering

• Develop, maintain, and optimize ETL/ELT pipelines using Databricks.
• Extract, transform, and load data from multiple structured and unstructured data sources.
• Support data integration, cleansing, and quality assurance activities.
• Assist in building and maintaining data models and data warehouses.
• Monitor data pipelines and troubleshoot performance or data quality issues.

Data Analytics & Reporting

• Analyze large datasets to identify trends, insights, and business opportunities.
• Create dashboards and reports using Power BI, Tableau, or similar BI tools.
• Develop SQL queries for data extraction, validation, and analysis.
• Collaborate with business teams to understand reporting requirements and deliver actionable insights.
• Support ad-hoc analysis and executive reporting needs.

Collaboration & Process Improvement

• Work closely with cross-functional teams including Operations, Product, Finance, and Business stakeholders.
• Document data processes, business rules, and technical specifications.
• Contribute to automation initiatives and continuous process improvement.

Requirements & Tech Stack

• Hands-on experience with Databricks and Apache Spark fundamentals.
• Strong SQL skills for querying and data manipulation.
• Experience with Python or PySpark for data processing.
• Familiarity with Power BI, Tableau, or similar visualization tools.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Engineering, or related field.
• 0–2 years of experience in Data Engineering, Data Analytics, or Business Intelligence.
• Knowledge of relational databases and data warehousing concepts.
• Understanding of ETL/ELT processes and data lifecycle management.