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# Data Analyst

- **Company:** Intersources Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** PHP (Programming Language), Agile Methodology, Big Data, Data Visualization, Distributed Systems, Perl (Programming Language), R (Programming Language), Apache Hadoop, Apache Hive, Python (Programming Language), SQL Databases, Tableau (Software), Scripting, Information Technology, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/20913807#/jobs/20913807

## About the Role

* Bachelor's degree with a background in Math, Economics, Computer Science, Statistics
 * Must have Digital Advertisement experience.
 * 5-8 years of Experience in pulling large and complex data using SQL and writing data pipelines and Statistic Modeling.
 * Experience with a data visualization tool (e.g., Tableau)
 * Must have experience in Digital Advertisement experience in a social media company.
 * Excellent verbal and written English communication skills
 * Experience working in fast paced Agile environment
 * Proactive and self-driven.

Preferred Experience:

 * Experience doing quantitative analysis
 * Development experience in at least one scripting language (R, PHP, Python, Perl, etc.)
 * Experience with large data sets and distributed computing (Hive/Hadoop) a plus

## Description

As a Data Analyst you will apply expertise in Business/data analysis and visualization to understand how users interact with products for clients. You will deliver data support for business development plans from the strategic scope and execution aspects with in-depth analysis. You will work closely with key cross-functional teams such as product managers, data science, and engineers to solve business problems.

Additional responsibilities include:

 * Build/maintain reports, dashboards, and metrics to monitor the performance of business
 * products.
 * Utilize group by and aggregate functions, join functions and other functions.
 * Filter Data by multiple, complex conditions and assess query efficiency


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