Full-Time
Lead Analytics Engineer
Confirmed live in the last 24 hours
SharkNinja
1,001-5,000 employees
Designs and manufactures high-performance home appliances
Industrial & Manufacturing
Consumer Goods
Senior
Needham, MA, USA
Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Python
Airflow
Git
SQL
Snowflake
Requirements
- 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.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- Advanced degrees or professional certifications related to data engineering are preferred.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- Champion the use of GIT for version control and collaborative development.
- Promote a culture of continuous learning and improvement within the analytics engineering team.
SharkNinja designs and manufactures home appliances and cleaning products that aim to make everyday tasks easier and more enjoyable. Their product range includes vacuum cleaners, kitchen appliances, and various household gadgets. These products are engineered to be efficient and user-friendly, helping consumers manage their daily chores effectively. SharkNinja stands out from competitors by focusing on high-quality, reliable products that receive positive customer feedback. The company’s goal is to enhance the quality of life for its users by providing solutions that foster consumer satisfaction and encourage brand loyalty.
Company Stage
IPO
Total Funding
$558.6M
Headquarters
Needham, Alabama
Founded
1994
Simplify's Take
What believers are saying
- Significant investments from firms like Jump Financial LLC and TimesSquare Capital Management LLC indicate strong market confidence and potential for growth.
- The introduction of innovative products like the Ninja(R) SLUSHi(TM) Professional Frozen Drink Maker showcases SharkNinja's commitment to continuous product development and market relevance.
- High-profile endorsements and global brand ambassadors like David Beckham can significantly boost brand recognition and consumer trust.
What critics are saying
- The competitive landscape in home appliances is intense, with major players like iRobot posing a constant threat to market share.
- Relying heavily on high-profile endorsements can be risky if the public image of the ambassador changes negatively.
What makes SharkNinja unique
- SharkNinja's dual-brand strategy with 'Shark' and 'Ninja' allows it to target different segments of the home appliance market, unlike competitors who may focus on a single brand.
- The company's emphasis on high-performance and technologically advanced products sets it apart in the consumer goods market, where many competitors offer more basic solutions.
- SharkNinja's strategic marketing, led by a seasoned CMO and bolstered by high-profile endorsements like David Beckham, enhances its brand visibility and consumer appeal.
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