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# Data Analyst

- **Company:** Pyramid Consulting Inc.
- **Location:** McLean, VA, United States
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Governance, Extract Transform Load (ETL), Data Mining, Data Visualization, Database Queries, Python (Programming Language), Power BI, Cloud Services, SQL Databases, Tableau (Software), Unstructured Data, Data Storage Technologies, Snowflake, Git, Pyramid, Looker Analytics, Software Version Control, Data Pipelines
- **Published:** June 26, 2026
- **Apply:** https://www.jofdav.com/jobs/58566639-data-analyst

## About the Role

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).

## Description

* 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.


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