Senior Analytics Engineer
Needham, MA, United States
SharkNinja
SharkNinja, Inc. (NYSE: SN) is a global product design and technology company positively impacting people’s lives in homes around the world.About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,300+ associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.
Position Summary:
The Lead Analytics Engineer will be responsible for spearheading the development and optimization of our data analytics frameworks and infrastructure. This role requires a deep understanding of DBT, Snowflake, and advanced SQL, along with expertise in ETL methodologies and orchestration tools such as Airflow and Dagster. The ideal candidate will also have a working knowledge of Python. As lead engineer, you will lead the development across one of 3 organization pillars (finance, ops or revenue). You will partner closely with the leads of each pillar to drive consistency and reusability of warehouse objects.
Key Responsibilities:
- Leadership and Mentorship:
- Mentor members of the analytics engineering team, providing technical guidance, and support on code and projects.
- Foster a collaborative and innovative team environment, encouraging professional growth and development.
- Strategic Planning:
- Define and execute the analytics engineering strategy, aligning with organizational goals and business needs.
- Identify opportunities for process improvements and implement best practices in data analytics and engineering.
- Project Management:
- Oversee the design, development, and maintenance of scalable and efficient data models using DBT and Snowflake.
- Manage multiple projects simultaneously, ensuring timely delivery and adherence to high-quality standards.
- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions and insights.
- Technical Implementation:
- Develop and optimize SQL queries and scripts for data transformation and aggregation.
- Implement and manage ETL processes, ensuring data accuracy and integrity.
- Lead the design and implementation of data orchestration workflows using tools such as Dagster or Airflow.
- Build out automated AI workflows using LLMs like ChatGPT, integrating advanced AI capabilities into data processes.
- Ensure compliance with data governance and security policies.
- Collaboration and Communication:
- Work closely with data scientists, analysts, and other stakeholders to support data modeling and analysis efforts.
- Communicate effectively with technical and non-technical stakeholders, translating complex technical concepts into actionable insights.
- Continuous Improvement:
- Champion the use of GIT for version control and collaborative development.
- Promote a culture of continuous learning and improvement within the analytics engineering team.
Qualifications:
- 4+ years of proven experience as a Lead Analytics Engineer, with a strong portfolio of successful data projects.
- Expert knowledge of SQL and database management systems, particularly Snowflake.
- Extensive experience with ETL methodologies and data modeling.
- Proficient in orchestration tools like Airflow and Dagster.
- Hands-on experience with GIT for version control.
- Programming skills in Python and familiarity with data pipeline development are highly desirable.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Extensive data modeling experience
- Strong communication skills, both verbal and written.
Education:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- Advanced degrees or professional certifications related to data engineering are preferred.
Our Culture
At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
Life At SharkNinja
Outrageously Extraordinary
For candidates based in China, please visit: https://sharkninja.com/candidate-privacy-notice/china/
For candidates based in Vietnam, please visit: https://www.sharkninja.com/candidate-privacy-notice/vietnam/
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow ChatGPT Computer Science Dagster Data Analytics Data governance dbt Engineering ETL Finance Git GPT LLMs Privacy Python Security Snowflake SQL
Perks/benefits: Career development Equity / stock options Health care Insurance Startup environment Wellness
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