Data Analyst

Data Analytics – Job Description *Title:* Senior Data Analyst *Job Summary:* We are looking for a *Data Analytics professional* with a strong understanding of data concepts, modern data platforms, ETL/ELT processes, and Python/PySpark. The candidate will work with large datasets, data pipelines, and data platforms to support analytics and reporting requirements. *Key Responsibilities:*

• Understand business and technical data requirements and translate them into data solutions.
• Work with *databases, data lakes, and modern data fabric architectures*.
• Develop, maintain, and troubleshoot *ETL/ELT data pipelines*.
• Work with structured and semi-structured data from multiple sources.
• Use *Python and PySpark* for data processing, transformation, and analysis.
• Perform data cleansing, transformation, validation, and quality checks.
• Optimize data processing jobs and pipelines for performance and scalability.
• Collaborate with data engineers, analysts, and business stakeholders.
• Support data integration and migration activities.
• Document data flows, transformation logic, and technical processes.

*Required Skills:*

• Strong understanding of *Data Analytics and Data Concepts*.
• *10+ years of experience* in Data Analytics, Data Engineering, Data Integration, or related data technologies.
• Understanding of *Databases, Data Lakes, and Data Fabric*.
• Hands-on or strong conceptual knowledge of *ETL/ELT processes and tools/packages*.
• Good knowledge of *Python*.
• Good understanding of *Apache PySpark* and distributed data processing.
• Understanding of data transformation, data quality, and data integration.
• Strong SQL and database fundamentals.
• Good analytical and problem-solving skills.

*Preferred Skills:*

• Experience with cloud data platforms such as *Azure, AWS, or GCP*.
• Knowledge of modern data warehouse/lakehouse architectures.
• Experience with tools such as *Databricks, Azure Data Factory, Snowflake, Microsoft Fabric, or similar platforms*.
• Understanding of data governance and data quality concepts.
• Experience working in Agile environments.