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Data Analyst

True Anomaly

True Anomaly delivers decisive capabilities for space superiority through autonomous spacecraft, advanced payloads, mission software, and space-based interceptors.

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Long Beach, CA Posted 1mo ago space
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Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It’s the people. Our team is our competitive advantage and we are better together.

BENEFITS & PERKS*

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

*Do not apply to fixed term and temporary roles

YOUR MISSION

We are looking for an experienced, hands-on Data Analyst to help us turn data into useful insights and make better business decisions while contributing to the continued development of our data infrastructure. In this role, you’ll independently partner with stakeholders across the organization to explore data, improve reporting, answer business questions, define meaningful metrics, and develop practical, reusable solutions. You’ll also help test, validate, and execute new data models, processes, and tools as we build a more scalable data foundation. This is an opportunity for someone who brings strong analytical fundamentals, sound judgment, and a practical approach to solving complex problems while helping establish sustainable analytics practices across the organization.

RESPONSIBILITIES

  • Independently partner 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 our data capabilities scale.

QUALIFICATIONS

  • 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 the ability to investigate and validate 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 the ability to exercise sound judgment when working with complex or imperfect data.

PREFERRED SKILLS AND EXPERIENCE

  • 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.

COMPENSATION

  • Base Salary:  $80,000 - $150,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

  • Work Location—Successful candidates will be located near Long Beach, CA. While we observe a hybrid work environment, some work must be done on site.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you 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 the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our Privacy Notice.

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