Data Analyst

True Anomaly is seeking an experienced, hands-on Data Analyst to turn data into practical insights and help build scalable analytics. This hybrid role is based in Long Beach, CA, partnering closely with stakeholders to strengthen reporting, metrics, and the underlying data models that support decision-making.

Role overview

The position focuses on translating business objectives into reliable analyses and data solutions. You will work with operational and emerging data sources, validate data and results, and support the development and improvement of dashboards, reports, and analytical datasets.

Key responsibilities

• Partner independently with stakeholders to understand business goals and convert them into analyses, reports, dashboards, metrics, and data solutions.
• Explore, clean, reconcile, and validate data from operational systems and emerging infrastructure to identify trends, patterns, anomalies, and opportunities.
• Build, maintain, and improve dashboards, recurring reports, SQL queries, analytical datasets, and ad hoc analyses used for business decisions.
• Test and execute new data models, reporting processes, and analytical workflows; identify issues, document findings, and contribute feedback to improve scalability and usability.
• Support the establishment of consistent metrics, data definitions, documentation, quality checks, and reporting practices as data capabilities expand.

Requirements

• 4+ years of professional experience in data analysis, business intelligence, operations analysis, finance, product analytics, or a related field.
• Proven ability to own analytical projects end-to-end, from requirements gathering through analysis, validation, communication, and delivery.
• Strong SQL skills, including complex joins, aggregations, CTEs, and window functions, plus the ability to investigate and validate query results.
• Experience building and maintaining dashboards, reports, datasets, or other analytical tools for business stakeholders.
• Strong problem-solving, communication, organization, and attention to detail, with sound judgment when working with complex or imperfect data.

Tools and technologies

SQL, Power BI, Tableau, Looker, Grafana, Python, R, APIs, ETL/ELT, dbt, Git

Preferred skills and experience

• Experience with BI or visualization tools such as Power BI, Tableau, Looker, Grafana, or similar platforms.
• Experience validating data models, reporting pipelines, data transformations, or analytical workflows across multiple systems.
• Familiarity with data modeling concepts including 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 related data development practices.
• Experience improving data quality, automating manual reporting, documenting data processes, or helping establish analytics standards.

Compensation and location

• Location: Long Beach, CA (hybrid)
• Salary: USD 80,000 - 150,000 per year

Benefits

• Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options.
• Flexible Time Off (FTO) for exempt employees; accrued PTO of up to 25 days for non-exempt employees; plus 12 paid holidays, Parental Leave, and Sick Leave.
• Daily catered lunch and unlimited snacks for in-office employees.
• 401(k) retirement plan, fitness reimbursement, and Dog Fridays.
• Equity participation as part of the total compensation package.

Additional requirements (work location)

Candidates must be located near Long Beach, CA. While the role follows a hybrid work environment, some work must be performed on site.

Legal and compliance

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), candidates 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.