Job summary
Job post source
This job is directly from Jewelers Mutual Group
Job overview
The Analytics Engineer II at Jewelers Mutual Group is responsible for designing and maintaining data transformation pipelines to convert raw data into actionable datasets, supporting business intelligence and analytics.
Responsibilities and impact
The role involves developing scalable data transformation pipelines using SQL and Python, collaborating with analysts and stakeholders to define data models, implementing data quality testing, documenting processes, and monitoring pipeline performance.
Compensation and benefits
The company offers competitive compensation, comprehensive healthcare, 6% 401k matching, generous PTO including floating holidays, fitness subscriptions, and charitable gift matching with paid volunteer time.
Experience and skills
Candidates should have 4-6 years of experience in analytics or data engineering, proficiency in SQL, experience with dbt or similar tools, familiarity with Python, knowledge of data orchestration platforms like Airflow, and experience with modern data platforms and version control systems.
Career development
The company promotes a culture of innovation and growth with opportunities for continuous learning in a collaborative environment.
Work environment and culture
Jewelers Mutual Group offers a collaborative and inclusive culture with a modern work environment in Raleigh’s North Hills and a hybrid work model balancing teamwork and flexibility.
Company information
Jewelers Mutual Group is a company empowering the jewelry industry with technology, focused on innovation and building the future of their business.
Job location and travel
The position is based in a state-of-the-art office in Raleigh’s North Hills with a hybrid work model allowing for flexibility.
Unique job features
The role stands out for its use of modern data tools and orchestration platforms, a focus on data quality and testing, and a supportive, innovative work environment.
Company overview
Jewelers Mutual Group specializes in insurance products and services tailored for the jewelry industry, including coverage for jewelers, retailers, wholesalers, manufacturers, and individuals. They generate revenue through premiums on their insurance policies and risk management solutions. Founded in 1913, the company has a long history of supporting the jewelry industry with specialized expertise and a commitment to customer service.
How to land this job
Position your resume to highlight your expertise in designing and maintaining scalable data transformation pipelines using SQL, Python, and tools like dbt, emphasizing your ability to turn raw data into actionable insights aligned with Jewelers Mutual Group's needs.
Focus on showcasing your collaboration skills with data analysts, scientists, and business stakeholders to develop analytical data models and your experience implementing data quality rules and testing frameworks to ensure data integrity.
Apply for the Analytics Engineer II role through multiple channels including Jewelers Mutual Group's corporate careers page and LinkedIn to maximize your application visibility and chances.
Connect on LinkedIn with members of Jewelers Mutual's Data Management team or analytics division; initiate conversations by commenting on recent company projects, expressing interest in their data transformation initiatives, or asking about their experience with tools like dbt and Airflow.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data transformation pipelines,' 'SQL,' 'dbt,' 'Python,' 'data orchestration,' 'Snowflake,' and 'data warehousing techniques' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate application submissions across multiple platforms, tailor your resume for ATS compliance, and identify LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and further skill development.
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