Operations Data Analyst II (Contractor)
About The Position
Latitude AI’s Continual Services Improvement (CSI) team is a service organization within Latitude Operations that supports departments across the company. The team advances enterprise-wide excellence through project and program management, efficiency improvements, policy development, and data analytics. The Operations Data Analyst II will analyze complex datasets, query and transform data primarily from BigQuery schemas, and develop production-level data models using dbt. The role also involves investigating data quality issues, understanding existing query logic, collaborating through Git and GitHub, and helping implement scripted solutions for data intake and application integrations. This is a 12-month contract.
Requirements
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
- At least 2 years of experience in a data analysis or business intelligence role.
- Technical proficiency in multiple coding languages, including SQL, Python, C++, and JavaScript, for data manipulation and software integration.
- Experience working in Linux environments to manage files, execute scripts, and navigate server-side directories.
- Advanced expertise writing, optimizing, and troubleshooting complex SQL queries to extract and transform data from cloud-based database schemas.
- Hands-on experience with data transformation tools and version control systems such as Git to build and maintain production-level data models.
- Knowledge of Jira and Atlassian automation to configure technical workflows, manage task tracking, and streamline project delivery.
- Strong exploratory data analysis skills and ability to identify logic-based solutions for data intake and application integrations.
Responsibilities
- Perform exploratory data analysis to identify trends, anomalies, and opportunities in complex datasets.
- Navigate and query data management systems, primarily BigQuery schemas, to extract and manipulate raw data.
- Construct, optimize, and troubleshoot complex SQL queries to join, filter, and transform data from disparate tables.
- Use dbt within a code repository to build, test, and deploy production-level data models used by multiple teams.
- Investigate and resolve data quality issues across data tables to ensure accuracy and reliability.
- Review and interpret complex existing queries by tracing multiple layers of data logic.
- Use Git and GitHub to create feature branches, commit changes, and submit pull requests for code review.
- Assist with implementing lightly scripted solutions for data intake and integrations between applications.
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What This Job Offers
Career Level
Mid Level
