Experienced Senior Data Analyst for E-commerce Industry - Data Science and Business Intelligence Expert
Introduction to Wayfair and the Role
Wayfair, a leading e-commerce company, is seeking a highly motivated and results-driven Senior Data Analyst to join our team of innovative professionals. As a Senior Data Analyst, you will be part of our Query and Recommendations Analysis group, where you will have the opportunity to work with large datasets to inform the development of our product recommendations. Our team collaborates closely with high-performing groups of engineers, AI engineers/data scientists, and product managers who are at the forefront of the product recommendation space.
Job Overview
In this role, you will be responsible for designing, running, and analyzing the results of A/B tests of new recommendation algorithms and techniques. You will also develop new testing and test analysis methodologies, perform KPI reporting and monitoring, and conduct exploratory data analysis to generate new insights and inform our product recommendation roadmap. Additionally, you will utilize and develop our in-house automated tools, such as a QA tool to better understand the performance of our new algorithms before A/B testing them.
Key Responsibilities
Run unconditional exploratory data analysis to identify novel ideas and potential opportunities
Design and run A/B tests of our latest recommendations algorithms
Proactively monitor our recommendation models to identify potential issues, determine underlying drivers, and resolve
Build new tools that allow us to be more efficient and productive
Work closely and build useful relationships with our product, engineering, and AI partners
Communicate key insights and recommendations to cross-functional executive leaders across the organization
Qualifications and Requirements
To be successful in this role, you should have:
Analysis or Data Science experience with e-commerce organizations, with a strong preference for those with experience in the industry
In-depth experience with SQL (full capabilities, query optimization, stored procedures, string parsing, Vertica/Hive/Voila/Flash, etc.), required
In-depth experience with Python and Python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required
Experience with experimental design (A/B tests) and statistical analysis to drive business independent direction, highly preferred
Knowledge and experience using machine learning algorithms/methods (decision trees, random forest, deep learning, etc.) within a business setting, highly preferred
Strong written and verbal communication skills, with a collaborative and cooperative mindset
Ability to collaborate and proactively communicate with stakeholders
Proven track record of taking ownership and driving results, with the ability to thrive in a fast-paced environment
Strong business acumen, analytical skills, and technical abilities, along with problem-solving skills
Essential Skills and Competencies
The ideal candidate will possess:
Strong analytical and problem-solving skills, with the ability to analyze complex data sets and draw meaningful insights
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Strong technical skills, including proficiency in SQL, Python, and machine learning algorithms
Ability to work in a fast-paced environment, with a strong focus on delivering results and driving business outcomes
Strong business acumen, with a deep understanding of the e-commerce industry and the ability to apply data-driven insights to drive business decisions
Career Growth Opportunities and Learning Benefits
At Wayfair, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Analyst, you will have the opportunity to work on complex and challenging projects, develop new skills and expertise, and collaborate with experienced professionals in the field. You will also have access to training and development programs, including workshops, conferences, and online courses, to help you stay up-to-date with the latest trends and technologies in data science and business intelligence.
Work Environment and Company Culture
Wayfair is a dynamic and fast-paced company, with a strong focus on innovation and collaboration. Our company culture is built on a foundation of transparency, accountability, and teamwork, with a strong emphasis on employee satisfaction and well-being. We offer a range of benefits and perks, including flexible working hours, remote work options, and a comprehensive benefits package. Our office is located in Boston, USA, and we offer a range of amenities, including a fitness center, cafeteria, and on-site parking.
Compensation, Perks, and Benefits
We offer a competitive salary of $24 per hour, with opportunities for bonuses and overtime pay. Our benefits package includes medical, dental, and vision insurance, as well as a 401(k) retirement plan and paid time off. We also offer a range of perks, including free snacks and beverages, on-site fitness classes, and access to exclusive discounts and promotions.
Conclusion
If you are a motivated and results-driven professional, with a passion for data science and business intelligence, we encourage you to apply for this exciting opportunity. As a Senior Data Analyst at Wayfair, you will have the opportunity to work on complex and challenging projects, develop new skills and expertise, and collaborate with experienced professionals in the field. Don't miss out on this chance to join our team and contribute to the success of our company. Apply now and take the first step towards an exciting and rewarding career in data science and business intelligence.
Apply now and join our team of innovative professionals!
Apply Now
Wayfair, a leading e-commerce company, is seeking a highly motivated and results-driven Senior Data Analyst to join our team of innovative professionals. As a Senior Data Analyst, you will be part of our Query and Recommendations Analysis group, where you will have the opportunity to work with large datasets to inform the development of our product recommendations. Our team collaborates closely with high-performing groups of engineers, AI engineers/data scientists, and product managers who are at the forefront of the product recommendation space.
Job Overview
In this role, you will be responsible for designing, running, and analyzing the results of A/B tests of new recommendation algorithms and techniques. You will also develop new testing and test analysis methodologies, perform KPI reporting and monitoring, and conduct exploratory data analysis to generate new insights and inform our product recommendation roadmap. Additionally, you will utilize and develop our in-house automated tools, such as a QA tool to better understand the performance of our new algorithms before A/B testing them.
Key Responsibilities
Run unconditional exploratory data analysis to identify novel ideas and potential opportunities
Design and run A/B tests of our latest recommendations algorithms
Proactively monitor our recommendation models to identify potential issues, determine underlying drivers, and resolve
Build new tools that allow us to be more efficient and productive
Work closely and build useful relationships with our product, engineering, and AI partners
Communicate key insights and recommendations to cross-functional executive leaders across the organization
Qualifications and Requirements
To be successful in this role, you should have:
Analysis or Data Science experience with e-commerce organizations, with a strong preference for those with experience in the industry
In-depth experience with SQL (full capabilities, query optimization, stored procedures, string parsing, Vertica/Hive/Voila/Flash, etc.), required
In-depth experience with Python and Python tools (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), required
Experience with experimental design (A/B tests) and statistical analysis to drive business independent direction, highly preferred
Knowledge and experience using machine learning algorithms/methods (decision trees, random forest, deep learning, etc.) within a business setting, highly preferred
Strong written and verbal communication skills, with a collaborative and cooperative mindset
Ability to collaborate and proactively communicate with stakeholders
Proven track record of taking ownership and driving results, with the ability to thrive in a fast-paced environment
Strong business acumen, analytical skills, and technical abilities, along with problem-solving skills
Essential Skills and Competencies
The ideal candidate will possess:
Strong analytical and problem-solving skills, with the ability to analyze complex data sets and draw meaningful insights
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Strong technical skills, including proficiency in SQL, Python, and machine learning algorithms
Ability to work in a fast-paced environment, with a strong focus on delivering results and driving business outcomes
Strong business acumen, with a deep understanding of the e-commerce industry and the ability to apply data-driven insights to drive business decisions
Career Growth Opportunities and Learning Benefits
At Wayfair, we are committed to providing our employees with opportunities for growth and development. As a Senior Data Analyst, you will have the opportunity to work on complex and challenging projects, develop new skills and expertise, and collaborate with experienced professionals in the field. You will also have access to training and development programs, including workshops, conferences, and online courses, to help you stay up-to-date with the latest trends and technologies in data science and business intelligence.
Work Environment and Company Culture
Wayfair is a dynamic and fast-paced company, with a strong focus on innovation and collaboration. Our company culture is built on a foundation of transparency, accountability, and teamwork, with a strong emphasis on employee satisfaction and well-being. We offer a range of benefits and perks, including flexible working hours, remote work options, and a comprehensive benefits package. Our office is located in Boston, USA, and we offer a range of amenities, including a fitness center, cafeteria, and on-site parking.
Compensation, Perks, and Benefits
We offer a competitive salary of $24 per hour, with opportunities for bonuses and overtime pay. Our benefits package includes medical, dental, and vision insurance, as well as a 401(k) retirement plan and paid time off. We also offer a range of perks, including free snacks and beverages, on-site fitness classes, and access to exclusive discounts and promotions.
Conclusion
If you are a motivated and results-driven professional, with a passion for data science and business intelligence, we encourage you to apply for this exciting opportunity. As a Senior Data Analyst at Wayfair, you will have the opportunity to work on complex and challenging projects, develop new skills and expertise, and collaborate with experienced professionals in the field. Don't miss out on this chance to join our team and contribute to the success of our company. Apply now and take the first step towards an exciting and rewarding career in data science and business intelligence.
Apply now and join our team of innovative professionals!
Apply Now