Data Analytics Engineer
Description For Data Analytics Engineer
Lugano Diamonds, a fast-growing luxury jewelry company, is seeking a Data Analytics Engineer to join their team in Newport Beach, California. This newly created role, reporting directly to the Vice President of technology, offers an exciting opportunity to become the cornerstone of Lugano's data infrastructure.
As a Data Analytics Engineer at Lugano, you will leverage your expertise in data analysis, software engineering, and statistical modeling to transform raw data into strategic insights that propel the business forward. You'll play a pivotal role in designing, developing, and maintaining scalable data pipelines and workflows for processing and analyzing large-scale datasets. Your responsibilities will include performing complex data analysis, building and optimizing data models and machine learning algorithms, implementing ETL processes, and developing data visualizations and reports.
The ideal candidate will have professional experience as a Data Engineer or in a similar role, with expert-level proficiency in SQL and relational databases. You should have deep skills in data warehousing, ETL frameworks, and Azure Data Analytics technology. Experience with data visualization tools like Power BI and a solid understanding of machine learning techniques are also crucial.
Lugano offers a competitive compensation package, including a base salary of $140,000 per year plus an annual bonus. Benefits include multi-option healthcare plans, a 401k with match, paid time off, and commission plans for all employees.
This role presents a unique opportunity to shape the future of data at Lugano, working in a collaborative environment that values innovation, teamwork, and continuous learning. If you're a technically proficient Data Analytics Engineer with strong business acumen and effective communication skills, we encourage you to apply and be part of our remarkable team at Lugano Diamonds.
Join us in our mission to consistently find a path to YES and deliver remarkable results in all we do. Together, we'll shape a future of brilliance and endless possibilities in the luxury jewelry industry.
Responsibilities For Data Analytics Engineer
- Design, develop, and maintain scalable data pipelines and workflows for processing and analyzing large-scale datasets
- Perform complex data analysis to identify trends, patterns, and actionable insights
- Build and optimize data models, algorithms, and machine learning models to support business objectives
- Implement data-driven solutions for data extraction, transformation, and loading (ETL) processes
- Develop and deploy data visualizations and reports
- Collaborate with departments across the organization to understand data requirements
- Ensure data quality and integrity through rigorous testing and validation
- Stay current with industry trends and best practices in data engineering and analytics
Requirements For Data Analytics Engineer
- Professional experience and proven success as a Data Engineer or similar role
- Expert-level proficiency in SQL and relational databases
- Deep skills and experience with data warehousing, ETL frameworks, and Azure Data Analytics technology
- Experience with data visualization tools (e.g., Power BI) and statistical analysis tools
- Solid understanding of machine learning techniques and algorithms
- Ability to translate complex analytical findings into clear and actionable insights
- Analytical mindset and adept problem-solving skills
- Excellent organizational skills
- Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or a related field
Benefits For Data Analytics Engineer
- Commission and bonus plans
- Multi-option healthcare plans
- 401k with match
- Paid time off
