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Role Description

As an Analytics Engineer, you will play a key role in building and maintaining the data foundation that drives insights, reporting, and decision-making across the organization. You will work closely with data engineers, analysts, and business stakeholders to transform raw data into accurate, actionable datasets. The role involves:

• Designing scalable data models
• Implementing metrics aligned with business logic
• Ensuring high standards of performance, testing, and documentation
• Enabling data-driven strategies across operations, risk, customer insights, and regulatory reporting

Success in this role comes from a combination of technical expertise, analytical thinking, and collaboration across cross-functional teams. The position offers an opportunity to contribute to a fast-growing, innovative environment where your work directly impacts business outcomes.

Accountabilities:

• Build and maintain dbt models and transformation pipelines that deliver high-quality, business-ready datasets.
• Implement and maintain metrics and definitions aligned with documented business logic.
• Partner with analysts and business stakeholders to clarify requirements and translate complex questions into data models.
• Ensure analytics solutions meet standards for performance, testing, documentation, and reliability.
• Participate in code reviews, design discussions, and contribute to continuous improvement of analytics engineering practices.
• Support cross-functional teams by enabling data access and insights for operational, strategic, and regulatory needs.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Business, or a related field.
• 1–3 years of experience in analytics engineering, business intelligence, or related data roles.
• Strong SQL skills and familiarity with dimensional modeling concepts.
• Experience with transformation tools such as dbt, and modern data warehouses like Snowflake, BigQuery, or Databricks SQL.
• Analytical mindset with attention to detail and comfort operating in a regulated environment.
• Ability to work independently on defined problems and incorporate feedback effectively.
• Experience with Databricks, Jira, or Notion is a plus.
• Excellent communication and collaboration skills, with the ability to translate technical insights for business stakeholders.

Benefits

• Competitive salary range of $130,146 – $162,000 per year.
• Comprehensive medical, dental, and vision coverage.
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA) options.
• Life insurance, long-term and short-term disability coverage.
• Supplemental benefits including Hospital Indemnity, Accident, and Critical Illness coverage.
• 401(k) retirement plan with company matching.
• Generous paid time off, including vacation, sick leave, and 11 paid holidays.
• Opportunities for professional development, flexible work arrangements, and a collaborative, innovative culture.