Data Analyst

Key Responsibilities:

• Develop, maintain, and optimize data pipelines and workflows using Python.
• Perform complex data analysis to identify trends, patterns, and actionable insights.
• Write and optimize SQL queries for data extraction, transformation, and reporting.
• Work with Client to store, manage, and process large datasets.
• Design and implement ETL processes for structured and unstructured data.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Utilize cloud-based tools and platforms for data storage, processing, and analytics.
• Ensure data quality, accuracy, and security across systems.

Key Requirements and Technology Experience:  

• Key skills; Data Analysis, SQL, Snowflake, ETL and Cloud. Prior FreddieMac/FannieMae experience is must.
• Proven experience as a Data Analyst or Data Engineer with a strong focus on Python programming.
• Proficiency in SQL for data querying and manipulation.
• Experience with Client or similar cloud-based data warehouses.
• Knowledge of ETL concepts, tools, and best practices.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Understanding of data governance, security, and compliance practices.
• Knowledge of version control systems (e.g., Git)