A2-Analyst – COA

Overview

Data Engineer / Data Analyst role focused on building Databricks-based data pipelines and delivering analytics and reporting to business stakeholders.

What you'll do

• 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.
• 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.
• 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.

What you'll need

• 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.
• Hands-on experience with Databricks and Apache Spark fundamentals.
• Strong SQL skills for querying and data manipulation.
• Knowledge of relational databases and data warehousing concepts.
• Experience with Python or PySpark for data processing.
• Understanding of ETL/ELT processes and data lifecycle management.
• Familiarity with Power BI, Tableau or similar visualization tools.