Data Analyst

True Anomaly is hiring a Data Analyst to turn data into useful insights and support better business decisions. The role partners with stakeholders on analyses, reporting, dashboards, metrics, and data solutions, while helping test and improve data models, processes, and analytics infrastructure.

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

Preferred

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

BI Tools

Data Visualization

Power BI

Tableau

Looker

Grafana

Data Model Validation

Reporting Pipeline Validation

Data Transformation Validation

Analytical Workflow Validation

Cross-System Data Validation

Data Modeling

Dimensions

Measures

Data Grain

Reusable Reporting Datasets

Metric Definitions

Python

R

API Integration

Data Warehousing

ETL/ELT

dbt

Lakehouse Concepts

Git

Data Development Practices

Data Quality Improvement

Reporting Automation

Data Process Documentation

Analytics Standards

Benefits

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

12 paid holidays

Parental Leave

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 the total compensation package

Hybrid work environment (successful candidates will be located near Long Beach, CA; some work must be done on site)

Company

Space defense technology for spacecraft, mission software, and payloads

Englewood, Colorado, USA

https://www.trueanomaly.space/

Founded in 2022

201-500 employees

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

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

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

4+ years of professional experience in data analysis, business intelligence, operations analysis, finance, product analytics, or a related field.

Required skills

SQL, Data Analysis, Power BI, Tableau, Looker, Grafana, Data Modeling, Data Quality, Python, ETL/ELT, dbt, Git

Experience

4+ years