Principal Analytics Engineer

Principal Analytics Engineer

Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.

Join the dynamic Global Technology organization at New Balance as a Principal Analytics Engineer, where you'll drive innovation and excellence by transforming data into actionable business insights. In this pivotal role, you'll architect scalable data solutions, lead analytics initiatives, and empower data-driven decision-making across the enterprise. You'll serve as a strategic bridge between data engineering and analytics, ensuring the delivery of high-quality insights and data products that generate measurable business impact.

Major Responsibilities:

• Design, develop, and optimize scalable and accurate data models that align with strategic business objectives.
• Implement and maintain data pipelines and dimensional models using best practices.
• Ensure data integrity and performance across cloud platforms and data warehouses.
• Ensure data quality through validation, monitoring, and robust documentation practices.
• Partner with product, engineering, and business stakeholders to understand requirements and deliver high-impact analytical solutions.
• Lead the development and lifecycle management of data products, ensuring they meet stakeholder needs and align with strategic objectives.
• Embed continuous improvement processes in your product solution designs, ways of working, ensuring durable products are created that provide long-term value.
• Apply software engineering principles including version control, CI/CD, and documentation.
• Mentor junior team members and foster a culture of continuous learning and collaboration.
• Stay current with industry trends and emerging technologies in data and analytics.
• Lead through complex challenges with professionalism, agility, and adaptability.

Requirements For Success:

• Master's degree preferred in Computer Science, Data Engineering, or related field.
• 7+ years of progressive experience in analytics engineering, data engineering, or similar roles.
• Expert level proficiency in SQL with deep understanding of data modeling, ETL processes, and data architecture principles. Hands-on experience with Python.
• Hands-on experience with cloud data platforms (particularly Snowflake) and modern data stack tools like dbt, Airflow and visualization platforms (Power BI, Tableau).
• Excellent communication skills with the ability to translate technical concepts for non-technical audiences.
• Unwavering commitment to data quality, confidentiality, and stakeholder trust.
• Strong problem-solving skills and attention to detail.
• Demonstrated professionalism with a strong work ethic and collaborative mindset.
• Experience with Data Products in Agile environments.

New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword – it's part of our culture.

New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.