Junior Analytics Engineer

Exiger • McLean, VA

12h • Hybrid

About The Position

We are seeking a Junior Analytics Engineer to join our Data & Analytics team. This role is ideal for an early-career engineer with strong SQL and Python fundamentals who is interested in data modeling, automation, and AI-assisted engineering workflows. You will support the development of scalable data pipelines and analytics-ready datasets while collaborating closely with engineers and business stakeholders. This position offers the opportunity to grow your analytics engineering skills while contributing to impactful data initiatives.

Requirements

• Working knowledge of SQL for querying, transforming, and validating data.
• Working knowledge of Python for scripting, analysis, and basic pipeline development.
• Foundational understanding of data modeling, transformation, and data quality concepts.
• Experience using notebooks for analytical workflows, testing, and validation.
• Ability to review and validate AI-generated code to ensure quality and correctness.
• Strong attention to detail, problem-solving ability, and eagerness to learn quickly.
• Approximately 1–3 years of relevant experience, including internships, academic projects, or early-career roles in analytics engineering, data engineering, business intelligence, or software engineering.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or equivalent practical experience.
• Hands-on experience working with analytics, pipelines, data modeling, data transformation, or visualization tools.

Nice To Haves

• Exposure to frontend technologies such as JavaScript, TypeScript, or React.
• Familiarity with AI-assisted development workflows and prompt engineering.
• Experience with cloud and data ecosystem tools such as Snowflake, Apache Spark, Kafka, AWS, or S3.
• Familiarity with analytics and visualization tools such as Sisense, D3, or Ogma.
• Experience with developer tools such as VS Code, Cursor, OpenAI tools, Claude, or Antigravity.
• Exposure to trade, supply chain, or supply chain risk domains.

Responsibilities

• Support the development and maintenance of semantic data models used for scalable analytics and reporting.
• Help build and improve automated data pipelines for ingesting, transforming, and delivering data.
• Work with dbt Cloud to support data transformation, testing, documentation, and workflow automation.
• Use notebooks and analytical workflows to perform quality control, exploratory analysis, and data validation.
• Translate business questions into clean, analytics-ready datasets for dashboards and downstream applications.
• Collaborate with analytics engineers, data engineers, developers, and business stakeholders to support data-driven initiatives.

Benefits

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off.
• Industry-leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid approach to working from home and in the office where applicable.
• Focus on wellness and employee health through stipends and dedicated wellness programming.
• Purposeful career development programs with reimbursement provided for educational certifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level