Data Analyst

Description

The company builds autonomous spacecraft, advanced payloads, mission software, and space-based interceptors that help the U.S. and its Allies secure the space environment against threats.

Space is treated as a warfighting domain, and the team builds the technology used there.

The role helps the company make better business decisions from data, improve reporting, and build a more scalable data foundation with reusable solutions and sustainable analytics practices.

Responsibilities

• Work with stakeholders to understand their goals and turn them into reliable analyses, reports, dashboards, metrics, and data solutions, working independently.
• Explore, clean, reconcile, and validate data from operational systems and new data infrastructure to find trends, patterns, anomalies, and opportunities.
• Build, maintain, and improve dashboards, recurring reports, SQL queries, analytical datasets, and one-off analyses that support business decisions.
• Test and run new data models, reporting processes, and analytical workflows, then document issues and give feedback so they scale and are easier to use.
• Help set consistent metrics, data definitions, documentation, quality checks, and reporting practices as data capabilities grow.

Requirements

• 4+ years of professional experience in data analysis, business intelligence, operations analysis, finance, product analytics, or a related field.
• You have owned analytical projects on your own, from requirements gathering through analysis, validation, communication, and delivery.
• Strong SQL, including complex joins, aggregations, CTEs, and window functions, and the ability to investigate and verify query results.
• You have built and maintained dashboards, reports, datasets, or analytical tools used by business stakeholders.
• Strong problem-solving, communication, organization, and attention to detail, with sound judgment on complex or imperfect data.
• Preferred: experience with a BI or visualization tool such as Power BI, Tableau, Looker, Grafana, or a similar platform.
• Preferred: experience validating data models, reporting pipelines, transformations, or analytical workflows across multiple systems.
• Preferred: familiarity with data modeling concepts such as tables, dimensions, measures, grain, reusable reporting datasets, and metric definitions.
• Preferred: exposure to Python, R, APIs, data warehouses, ETL/ELT, dbt, lakehouse concepts, Git, or other data development practices.
• Preferred: experience improving data quality, automating manual reporting, documenting data processes, or setting analytics standards.

Conditions

Base salary: $80,000 - $150,000.

Equity and benefits are offered alongside base pay.

Level and base salary are decided case by case, based on job-related knowledge and skills, education, location, and experience.

You must be located near Long Beach, CA. The setup is hybrid, and some work must be done on site.

Under U.S. government space technology export rules, including ITAR, you must be a U.S. citizen, a lawful permanent resident, a protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

The position stays open until it is filled.

This is not a fixed-term or temporary role.

Equal employment opportunity applies on any basis protected by state and federal law. Ask for accommodation if you need one.

Benefits

• Healthcare with 100% company-paid medical, dental, and vision coverage for you and your dependents, plus HSA or HRA options.
• Flexible time off for exempt employees, accrued PTO of up to 25 days for non-exempt employees, and 12 paid holidays.
• Parental leave and sick leave.
• Daily catered lunch and unlimited snacks for employees working in the office.
• 401(k) retirement plan, fitness reimbursement, and Dog Fridays.
• Equity is part of total compensation, giving you a share in the company's success.