Are you a data-driven problem solver with a passion for fitness and technology? Look no further, because Peloton is searching for an experienced Analytics Engineer to join our growing team!As an Analytics Engineer at Peloton, you will be an integral part of our data team, working closely with cross-functional teams to design and build data pipelines, develop ETL processes, and implement data models. Your expertise in data analytics and engineering will help drive decision-making and improve the overall customer experience.We are seeking a highly skilled individual with a strong background in data engineering and analytics, as well as a deep understanding of database design, data warehousing, and ETL processes. The ideal candidate is a self-starter who is passionate about using data to solve complex problems and has a strong curiosity for exploring new technologies.If you are ready to combine your love for fitness and technology with your data engineering skills, then Peloton is the perfect place for you. Join us in revolutionizing the fitness industry and helping people live healthier, happier lives.
- Design and develop data pipelines to support various business needs.
- Collaborate with cross-functional teams to understand data requirements and build solutions that meet their needs.
- Develop and maintain ETL processes to ensure data accuracy and consistency.
- Create and maintain data models that support business reporting and analytics.
- Analyze and troubleshoot data issues, ensuring data quality and integrity.
- Continuously seek opportunities to improve data processes and systems.
- Utilize SQL and other programming languages to extract, transform, and load data from multiple sources.
- Work closely with business stakeholders to understand their needs and provide data-driven insights.
- Stay up-to-date with industry trends and advancements in data engineering and analytics.
- Collaborate with the data team to develop and implement data governance policies and procedures.
- Train and mentor junior members of the data team.
- Communicate complex technical concepts and solutions to non-technical stakeholders.
- Participate in the development and maintenance of data warehouses and data marts.
- Work on ad-hoc data projects as needed.
- Ensure all data processes are secure and comply with data privacy regulations.
Bachelor's Or Master's Degree In Computer Science, Data Science, Statistics, Or A Related Field.
Demonstrated Experience In Data Engineering, Data Modeling, And Data Warehousing.
Proficiency In Programming Languages Such As Sql, Python, And R.
Experience With Data Visualization Tools And Techniques.
Familiarity With Big Data Technologies And Cloud Computing Platforms, Such As Aws Or Google Cloud.
Sql
Python
Data Analysis
Database Management
Big Data
Machine Learning
Data Visualization
Data Mining
Statistical modeling
Predictive analytics
R programming
Dashboard Creation
Communication
Conflict Resolution
Customer Service
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Analytics Engineer in New York, NY, USA is between $130,000 to $160,000 per year. This can vary depending on factors such as experience, company size, and industry. Additionally, bonuses and benefits may also be included in the overall compensation package.
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