Data Engineering Manager, eero/Amazon
San Francisco, California, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
Job summary
eero is looking for a Data Engineering Manager to build a new team focused on data systems and BI from the ground up. This team will help eero unlock the value latent in its data by providing visibility into our operations, driving better business decisions, and empowering stakeholders to understand their business and customers in new ways. The team will be multidisciplinary across data engineering and analytics, and will work across a diverse set of teams, from manufacturing, to product, to finance, and more.
eero was the first product to bring a whole-home WiFi experience using mesh technology to consumers. Since then, we have continued to deliver more value to our customers through improvements to performance, reliability, and price. We are now looking to lead the way in making the connected home experience even better.
Key job responsibilities
As the first hire and manager of our Data and BI team, you will:
· Hire and develop a team of Data Engineers, BI Engineers, and Analysts
· Shape and execute a technical vision for data warehousing and data marts
· Standardize metrics and reporting across the organization
· Engage with stakeholders to build and prioritize a roadmap
· Help teams identify their key metrics and how to affect them based on their data
Success in this role will require technical breadth and strong communication and judgement skills. You will need to understand both the business side, and data engineering side of BI so that you can be an effective leader of the team.
· Experience managing Business Intelligence Engineers, Data Engineers, Data Scientists, and/or Business Analysts
· Bachelor's degree in Mathematics, Statistics, Economics, Engineering, or a related business/analytical disciplines
· 5+ years of industry experience in Business Intelligence, Data Science, Data Engineering, Software Development, or related field with a track record of producing actionable business insights from large datasets
· Hands-on experience with SQL and data visualization tools (e.g. QuickSight, Looker, Tableau, Power BI)
· Excellent communication skills to summarize insights and recommendations to audiences of varying levels of technical sophistication
· Ability to navigate ambiguity to develop and champion new ideas and creative solutions
· Ability to work on a diverse team or with a diverse range of coworkers
· Experience working with AWS big data technologies (Redshift, S3, EMR)
· High attention to detail and proven ability to manage multiple priorities simultaneously.
· Ability to lead a team to deliver a project/program from scoping requirements through actual launch
· Demonstrated ability to write complex, optimized SQL queries across large data sets
· Proficiency in at least one programming language used for data science such as Python, R, etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
eero is looking for a Data Engineering Manager to build a new team focused on data systems and BI from the ground up. This team will help eero unlock the value latent in its data by providing visibility into our operations, driving better business decisions, and empowering stakeholders to understand their business and customers in new ways. The team will be multidisciplinary across data engineering and analytics, and will work across a diverse set of teams, from manufacturing, to product, to finance, and more.
eero was the first product to bring a whole-home WiFi experience using mesh technology to consumers. Since then, we have continued to deliver more value to our customers through improvements to performance, reliability, and price. We are now looking to lead the way in making the connected home experience even better.
Key job responsibilities
As the first hire and manager of our Data and BI team, you will:
· Hire and develop a team of Data Engineers, BI Engineers, and Analysts
· Shape and execute a technical vision for data warehousing and data marts
· Standardize metrics and reporting across the organization
· Engage with stakeholders to build and prioritize a roadmap
· Help teams identify their key metrics and how to affect them based on their data
Success in this role will require technical breadth and strong communication and judgement skills. You will need to understand both the business side, and data engineering side of BI so that you can be an effective leader of the team.
Basic Qualifications
· Experience managing Business Intelligence Engineers, Data Engineers, Data Scientists, and/or Business Analysts
· Bachelor's degree in Mathematics, Statistics, Economics, Engineering, or a related business/analytical disciplines
· 5+ years of industry experience in Business Intelligence, Data Science, Data Engineering, Software Development, or related field with a track record of producing actionable business insights from large datasets
· Hands-on experience with SQL and data visualization tools (e.g. QuickSight, Looker, Tableau, Power BI)
· Excellent communication skills to summarize insights and recommendations to audiences of varying levels of technical sophistication
· Ability to navigate ambiguity to develop and champion new ideas and creative solutions
· Ability to work on a diverse team or with a diverse range of coworkers
Preferred Qualifications
· 8+ years of experience managing Business Intelligence Engineers, Data Scientists, and/or Business Analysts· Experience working with AWS big data technologies (Redshift, S3, EMR)
· High attention to detail and proven ability to manage multiple priorities simultaneously.
· Ability to lead a team to deliver a project/program from scoping requirements through actual launch
· Demonstrated ability to write complex, optimized SQL queries across large data sets
· Proficiency in at least one programming language used for data science such as Python, R, etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Tags: AWS Big Data Business Intelligence Data visualization Data Warehousing Economics Engineering Finance Looker Mathematics Power BI Python QuickSight R Redshift SQL Statistics Tableau
Region:
North America
Country:
United States
Job stats:
7
0
0
Categories:
Engineering Jobs
Leadership Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs