Analytics Engineer II presso Jewelers Mutual

Summary

Are you passionate about transforming raw data into meaningful insights that drive smarter decisions? Jewelers Mutual is seeking a talented Analytics Engineer II to join our dynamic Data Management team in Raleigh, NC. In this pivotal role, you’ll design and build robust data transformation pipelines that fuel our business intelligence, reporting, and advanced analytics capabilities.

As a trusted partner to software engineers and business stakeholders, you’ll help shape the future of our data ecosystem—ensuring accuracy, scalability, and performance across every layer. If you thrive in a collaborative environment and have a sharp eye for data quality, modeling, and optimization, this is your chance to shine!

Why Jewelers Mutual: 

Since 1913 we’ve been committed to supporting the Jewelry industry and putting customers at the center of everything we do. With over a century of trusted expertise, we’re financially strong, forward-thinking, and driven by curiosity. Guided by our core values of Agility, Accountability, and Relevancy, we lead through innovation. 

As a technology organization, we embrace cutting-edge tools and data-driven insights to continuously improve our products, services, and customer experience. Our mission is to be the industry’s most trusted advisor by investing in our people, adopting new technologies, and striving for excellence. 

We’re dedicated to fostering growth through collaboration, powered by bold thinking, teamwork, and the passion of our people. 

Here, you’ll: 

• Move fast and embrace change
• Always look for better ways
• Grow, thrive, and help shape what’s next

Join us and be part of a culture where you can make an impact while building your future. 

What You’ll Do:

• Data Transformation Pipelines: Design, develop, and maintain scalable transformation pipelines using SQL, Python, and modern data orchestration tools (e.g., dbt, Airflow) to shape raw data into structured, analytics-ready models.
• Data Modeling: Collaborate with data analysts, data scientists, and business stakeholders to define and implement target data models that meet analytical and reporting needs, ensuring consistency, accuracy, and performance.
• Quality Assurance: Implement testing frameworks (e.g., data validation, unit tests) to ensure the reliability, integrity, and correctness of transformed data.
• Performance Optimization: Optimize SQL queries, transformations, and data models for efficiency and scalability within the data platform.
• Documentation: Create and maintain clear documentation of data models, transformation logic, and pipeline processes to support team collaboration and knowledge sharing.
• Stakeholder Collaboration: Partner with business units, data analysts, and leadership to understand requirements, translate them into technical specifications, and deliver impactful data solutions.
• Tooling & Best Practices: Stay current with industry trends and tools, advocating for best practices in data transformation, version control (e.g., Git), and analytics engineering workflows.
• Monitoring & Support: Monitor pipeline performance and troubleshoot issues in collaboration with software engineers managing the data platform, ensuring seamless data flow from ingestion to analytics.

What You Bring:

• Experience: 4-6 years of experience in analytics engineering, data engineering, or a related role, with a strong focus on data transformation and modeling.
• Technical Skills:
  • Proficiency in SQL for querying and transforming large datasets.
  • Experience with data transformation tools like dbt (data build tool) or similar.
  • Familiarity with Python or another scripting language for pipeline development.
  • Knowledge of data orchestration platforms (e.g., Apache Airflow, Prefect).
  • Experience with modern data platforms (e.g., Databricks, Snowflake, BigQuery).
  • Proficiency in data warehousing techniques (star schema, data vault 2.0)
  • Experience with version control systems (e.g., Git).
• Analytical Mindset: Ability to translate business needs into technical data models and transformation workflows.
• Collaboration: Proven ability to work cross-functionally with software engineers, analysts, and business stakeholders in a fast-paced environment.
• Attention to Detail: Strong focus on data quality, testing, and documentation to ensure trustworthy outputs.
• Problem-Solving: Comfortable troubleshooting complex data issues and optimizing performance.

Join us in crafting clarity from complexity—where your work helps protect what matters most!

What We Offer You:

• Competitive Compensation & Benefits: Includes performance bonuses, generous paid time off, and a top-tier retirement program with 401(k) matching and additional company contributions.
• Collaborative Culture: Work alongside talented, passionate peers who value ownership and continuous learning.
• Community & Giving: Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes
• Great Place to Work® Certified: Join a team recognized for an environment of innovation and growth.

Accessibility and Accommodations
We are committed to providing an inclusive and accessible recruitment process. If you require accommodation at any stage of the application or interview process, please let us know by contacting [email protected].