Data Analyst III
New
I
itD TechData Analytics
Location: CaliforniaContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLBusiness IntelligenceETLTableauData engineeringR
Requirements
- Bachelor’s degree in a STEM-related field.
- 5+ years of experience writing advanced SQL queries and working with relational databases such as Oracle, Hive, Vertica, MySQL, or similar platforms.
- Proven experience designing, building, and maintaining large-scale ETL pipelines and data processing systems.
- Experience working with distributed data extraction, ingestion, and processing systems handling high-volume datasets.
- Hands-on experience with Business Intelligence and dashboarding tools such as Tableau, MicroStrategy, or similar platforms.
- Proficiency in Python and/or R for data analysis and automation.
- Strong experience working with cross-functional teams in fast-paced, ambiguous environments.
- Demonstrated ability to work independently, take initiative, and lead best practices for data infrastructure projects.
- Strong written and verbal communication skills.
Responsibilities
- Collaborate with growth marketers, program managers, analysts, and cross-functional stakeholders to gather reporting and data infrastructure requirements.
- Design, build, and maintain automated dashboards, reporting solutions, and scalable analytics infrastructure to support data-driven business decisions.
- Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting, analytics, and operational data processing.
- Write and optimize complex SQL queries to retrieve, analyze, and validate high-volume datasets across multiple database environments.
- Identify, troubleshoot, and resolve data integrity and reporting accuracy issues across dashboards, pipelines, and analytics systems.
- Partner closely with analytics teams and stakeholders to improve reporting efficiency, data accessibility, and infrastructure scalability.
- Support large-scale data processing initiatives involving millions of rows of data while ensuring reliability, performance, and scalability.
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