Analytics Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analytics Engineer in United States. 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, and ensuring high standards of performance, testing, and documentation. You will help enable 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.

Requirements

• 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.

Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.