JetHead Development Inc. is hiring a Data Analyst / Researcher to turn complex datasets into reliable metrics, actionable dashboards, and clear insights. You will work closely with engineers and customers on data quality, analytics, and statistical modeling, with a hybrid remote setup in Carlsbad, CA and access to a modern analytics and streaming technology environment.
Compensation: $90,000 - $190,000 per year. Job type: Full-time.
What you’ll do
- Write SQL queries to explore, validate, and analyze data across multiple sources.
- Use Python to clean data, automate analyses, and build repeatable analytical workflows.
- Define and maintain data models, metric definitions, and documentation in collaboration with data engineers.
- Support schema governance by documenting data definitions, identifying inconsistencies, and evaluating the impact of changes.
- Build dashboards and alerts that help users understand system behavior, performance, and data quality.
- Apply statistical methods to identify trends, investigate anomalies, and evaluate relationships.
- Develop and validate statistical models suited to the available data and the study question.
- Present findings, assumptions, and limitations clearly to technical and nontechnical audiences.
- Translate customer questions into measurable requirements and practical analytical deliverables.
What you bring
- Practical SQL skills, including joins, aggregations, and querying relational datasets.
- Python skills for data preparation and analysis.
- Understanding of data modeling, schema design, and data quality principles.
- Foundational knowledge of statistics with the ability to interpret results accurately.
- Experience creating dashboards, reports, or other data visualizations.
- Ability to investigate unexpected results and document analytical methods.
- Strong written, verbal, and interpersonal communication skills.
- Ability to participate in a hybrid schedule with on-site work in Carlsbad, CA.
- Authorization to work in the United States without employer sponsorship.
Tools and platform environment
Your work will align with a team using Python and SQL, along with Apache Flink, Kafka, Kafka Connect, and Apache Iceberg. You may also interact with Amazon Athena, AWS Batch, AWS EKS, Prometheus, Grafana, Docker, Kubernetes, Helm, Terraform, and GitHub Actions. The team also works with Kafka-based systems, OpenSpec, and Model Context Protocol (MCP) including MCP tools and MCP-related governed dataset workflows.
You do not need experience with every platform or deployment tool to apply.
Preferred qualifications
- Experience querying data with Amazon Athena or working with Apache Iceberg datasets.
- Familiarity with Grafana dashboards and Prometheus metrics.
- Experience defining alert thresholds and investigating time-series data.
- Experience with statistical modeling, model evaluation, or anomaly detection.
- Familiarity with streaming data and Kafka-based systems.
- Knowledge of network or satellite systems, with no prior industry experience required.
- Experience with specification-driven development, including tools such as OpenSpec.
- Familiarity with Model Context Protocol (MCP), particularly preparing clear data definitions, metadata, and governed datasets for access through MCP tools.
Benefits
- 401(k) retirement plan with employer matching
- Medical, dental, and vision coverage
- Health savings account
- Life insurance
- Paid time off
- 401(k) matching
