Data Analyst (Python and Visualization)

Responsibilities Gather, analyze, and interpret business and technical data requirements.

Design, develop, and maintain ETL/ELT data pipelines.

Create and optimize SQL queries, stored procedures, and database objects.

Develop dashboards and reports using BI tools.

Validate, clean, and maintain data quality.

Analyze large datasets to identify trends and business insights.

Build and maintain data models and data warehouses.

Develop APIs or backend services for data integration when needed.

Automate data processing and reporting workflows.

Monitor and troubleshoot data pipelines and reporting issues.

Work with business users to translate requirements into data solutions.

Document data flows, technical specifications, and reporting processes.

Participate in Agile ceremonies, code reviews, and continuous improvement.

Qualifications Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, or a related field.

At least 3–5 years of experience in Data Analytics, Business Intelligence, or Data Engineering.

Strong SQL skills (SQL Server, PostgreSQL, MySQL, Oracle, or similar).

Experience with ETL/ELT tools or frameworks.

Experience with BI tools such as Oracle Analytics Cloud (preferred), Power BI, or Tableau.

Experience with orchestration tools such as Oracle Data Integrator or Apache Airflow.

Proficiency in Python for data analysis and automation.

Experience integrating data from REST APIs.

Knowledge of data warehousing and dimensional modeling.

Strong analytical, problem-solving, and communication skills.