Data Analyst

True Anomaly • Long Beach, CA

11d • Hybrid

About The Position

True Anomaly is seeking an experienced, hands-on Data Analyst to turn data into useful insights and support better business decisions while contributing to the development of the company’s data infrastructure. The analyst will partner independently with stakeholders across the organization to explore data, improve reporting, answer business questions, define meaningful metrics, and develop practical, reusable solutions. The role also helps test, validate, and execute new data models, processes, and tools as the company builds a more scalable data foundation.

The position calls for strong analytical fundamentals, sound judgment, and a practical approach to complex problems, while helping establish sustainable analytics practices. Successful candidates will be located near Long Beach, California. The work environment is hybrid, with some work required onsite. The position remains open until filled. Applicants must meet U.S. Government space technology export authorization requirements.

Requirements

• At least 4 years of professional experience in data analysis, business intelligence, operations analysis, finance, product analytics, or a related field.
• Demonstrated ability to independently own analytical projects from requirements gathering through analysis, validation, communication, and delivery.
• Strong SQL skills, including complex joins, aggregations, CTEs, window functions, and investigating and validating query results.
• Experience building and maintaining dashboards, reports, datasets, or analytical tools used by business stakeholders.
• Strong problem-solving, communication, organization, and attention-to-detail skills, with sound judgment when working with complex or imperfect data.
• Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State.

Nice To Haves

• Experience with a BI or visualization tool such as Power BI, Tableau, Looker, Grafana, or a similar platform.
• Experience validating data models, reporting pipelines, data transformations, or analytical workflows across multiple systems.
• Familiarity with data modeling concepts such as tables, dimensions, measures, data grain, reusable reporting datasets, and metric definitions.
• Exposure to Python, R, APIs, data warehouses, ETL/ELT, dbt, lakehouse concepts, Git, or other data development practices.
• Experience improving data quality, automating manual reporting, documenting data processes, or helping establish analytics standards.

Responsibilities

• Partner independently with stakeholders to understand business objectives and translate them into reliable analyses, reports, dashboards, metrics, and data solutions.
• Explore, clean, reconcile, and validate data from operational systems and emerging data infrastructure to identify trends, patterns, anomalies, and opportunities.
• Build, maintain, and improve dashboards, recurring reports, SQL queries, analytical datasets, and ad hoc analyses that support business decision-making.
• Test and execute new data models, reporting processes, and analytical workflows; identify issues, document findings, and provide feedback to improve scalability and usability.
• Help establish consistent metrics, data definitions, documentation, quality checks, and reporting practices as data capabilities scale.

Benefits

• 100% company-paid medical, dental, and vision coverage for employees and dependents, with HSA/HRA options.
• Flexible Time Off for exempt employees; accrued PTO of up to 25 days for non-exempt employees; 12 paid holidays; parental leave; and sick leave.
• Daily catered lunch and unlimited snacks for in-office employees.
• 401(k) retirement plan.
• Fitness reimbursement.
• Dog Fridays.
• Equity participation as part of total compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed