Statistician / Data Analyst (Remote)

Description

The company works on data-heavy missions for national security customers, using technology and creativity to improve government work. The team is small and works closely together.

This role is a statistician and data analyst position that helps analyze, validate, and improve mission-critical data as existing environments move toward more modern, automated architectures.

You will split your time between detailed analysis and broader mission questions, looking at what the data shows along with its quality, limits, relationships, and what it means for operational and strategic decisions.

Tools in use include Python with Pandas, SQL and PostgreSQL, Snowflake, Databricks, Tableau, AWS, Azure, Git, GitHub, GitLab, Jira, and Microsoft Visio.

Responsibilities

• Study complex datasets to find trends, relationships, anomalies, and insights that inform mission and operational choices.
• Apply statistical methods and analytical techniques to answer business and mission questions and back recommendations with evidence.
• Work with data engineers to learn source systems, data structures, transformations, and what downstream analysis needs.
• Use SQL to query, join, filter, aggregate, and check data across relational databases and other data environments.
• Use Python and related tools to manipulate, analyze, check, and refine datasets.
• Judge data quality, completeness, consistency, and reliability, and work with technical teams to fix data issues.
• Help set analytical requirements and turn stakeholder questions into clear data and reporting needs.
• Work with stakeholders on reporting standards, analytical methods, and repeatable ways of interpreting data.
• Check whether pipelines, transformations, and automated workflows produce datasets that meet analytical and reporting needs.
• Bring analytical input to data governance, covering definitions, quality standards, documentation, and proper data use.
• Write analytical documents that explain methods, assumptions, findings, limits, and conclusions.
• Explain complex findings to both technical and non-technical audiences.
• Work across technical and mission teams to keep analysis aligned with customer priorities and operational goals.
• Take initiatives from problem definition and data exploration through analysis and validation to actionable results.

Requirements

• Bachelor's degree or higher in statistics, data science, mathematics, economics, computer science, operations research, or another quantitative or related field.
• At least 5 years of professional experience in statistics, data analysis, data science, quantitative analysis, or a closely related area.
• Strong experience analyzing complex datasets and applying statistical methods to real problems.
• Practical SQL skills for querying and analyzing data in relational databases.
• Experience with Python and data analysis libraries such as Pandas.
• Working knowledge of relational database concepts and experience with structured data.
• Ability to assess data quality, spot anomalies and inconsistencies, and decide whether data fits a given analytical purpose.
• Ability to turn complex mission or business questions into structured analytical approaches.
• Excellent written, verbal, and interpersonal communication skills.
• Ability to explain statistical concepts, findings, assumptions, and limits clearly to technical and non-technical audiences.
• Strong attention to detail and a commitment to accurate, defensible work.
• Strong desire to support the country by working on mission-critical systems.
• Candidates are not expected to match a data engineer's depth in software engineering, architecture, or infrastructure, but must be technically capable of working independently with data and collaborating within modern data engineering environments.
• Passion for solving hard technical problems in support of U.S. national security goals.
• Willingness to learn and stretch beyond your current areas of expertise.
• Strong interpersonal skills and the ability to build trusted relationships with customers, partners, and teammates.
• Self-directed, proactive communication, and ownership, including starting and leading initiatives without waiting for direction.
• Willingness to help the company grow through knowledge sharing and participation in internal initiatives, innovation efforts, onboarding, and business development support.
• Professionalism, humility, curiosity, customer empathy, and a collaborative, team-first approach.
• Must have U.S. citizenship.
• Must live in the United States in the Eastern or Central time zone.
• Must be able to obtain a DHS Public Trust clearance.
• Preferred: experience with immigration-related data, programs, processes, or analytical environments.
• Preferred: experience supporting data analysis within the federal government.
• Preferred: experience with PostgreSQL.
• Preferred: experience with Snowflake and/or Databricks.
• Preferred: familiarity with modern data warehousing, lakehouse, or large-scale analytical environments.
• Preferred: familiarity with AWS and/or Azure data environments.
• Preferred: experience working directly with data engineers, software engineers, database developers, or system integration teams.
• Preferred: experience supporting data modernization, data quality, data governance, reporting modernization, or analytical automation work.
• Preferred: experience using Git or other version control tools in collaborative technical settings.

Conditions

Fully remote role.

Pay depends on experience and qualifications. The company is willing to discuss pay expectations early in the process.

Benefits

• Medical, dental, and vision coverage.
• 401(k) matching.
• Paid time off.
• Employee shares program.