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Lead Data Analyst (macys.com) - Full-time / Part-time
•30 days ago
| Hours | Full-time, Part-time |
|---|---|
| Location | 685 MARKET 8TH FLOOR San Francisco, California |
About this job
Job Overview:
The Lead Data Analyst will work across multiple teams within a domain to understand and help realize the MVP (Minimum Viable Product). Co-located within the domain the Data Analyst will - working closely with the Product Manager, domain architect, and agile/lean delivery teams - discover and articulate data relationships across systems for the target use case(s). Using their communication, technical, and analytical skills the Data Analyst will be expected to drill into multiple systems across the enterprise with the goal of identifying, through hind sighting and visualization, opportunities to increase sales and average order value. Pivotal to this role is the ability to narrate business opportunities using empirical data to align leadership and potential stakeholders. This role requires self-direction, self-motivation, and a winning can-do attitude.
Essential Functions:
• Work closely with Site Engineering and Architecture, business stakeholders, and Merchandising, to evaluate and prioritize business needs
• Evaluate data accuracy and usefulness
• Provide data flow diagrams and documenting processes
• Provide quantitative analysis to support business stakeholder use cases to maximize selling opportunities
• Understand corporate systems, data environments and reporting tools
• Data mine and analyze site customer data and site catalog data, sifting out opportunities to increase sales and average order value
• Research and analyze various data source systems using SQL and/or SQL tools to study the data and match the requirements
• Comfortable coordinating the efforts of others to tackle issues that may reside outside the scope of the candidate's own personal knowledge
• Regular, dependable attendance and punctuality
Qualifications:
Education/Experience:
• BA/BS Degree in Information Systems or related field preferred or equivalent work experience
• Minimum 3-5 years of experience with enterprise data quality and data integration
• Experience & familiarity with customer and product catalog data
• Experience in data analysis and problem solving with large amounts of data
• Working knowledge of big data technologies - Spark, Hadoop, Hive, Scala, R. An interest in ML and algorithms is a bonus
• Ability to create a Proof of Concept using a programming or scripting language e.g. java, perl, python
• Excel technical skills & experience with writing SQL statements for relational databases such as Oracle, Microsoft SQL Server, IBM DB2, MySQL are required for this role
• Strong knowledge and experience with Agile/Scrum methodology and iterative practices
Communication Skills:
• Strong communications skills (spoken and written) and the ability to effectively communicate design recommendations to a varied audience
Reasoning Ability:
• Strong analytical and documentation skills
Company Profile:
As the fastest growing part of Macy's Inc. business, macys.com is achieving record sales and broadening our workforce. With offices in New York and San Francisco, macys.com is the best of all worlds. The entrepreneurial thinking of a Web business complements the stability and support of a national brand. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for continued growth. Employees at macys.com have long term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At macys.com we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of the Internet with the best in retailing, macys.com is reaching new heights.
This job description is not all inclusive. Macy’s Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
Macy's Inc., including Macy's and Bloomingdale's, will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of SFPC Art.49.
The Lead Data Analyst will work across multiple teams within a domain to understand and help realize the MVP (Minimum Viable Product). Co-located within the domain the Data Analyst will - working closely with the Product Manager, domain architect, and agile/lean delivery teams - discover and articulate data relationships across systems for the target use case(s). Using their communication, technical, and analytical skills the Data Analyst will be expected to drill into multiple systems across the enterprise with the goal of identifying, through hind sighting and visualization, opportunities to increase sales and average order value. Pivotal to this role is the ability to narrate business opportunities using empirical data to align leadership and potential stakeholders. This role requires self-direction, self-motivation, and a winning can-do attitude.
Essential Functions:
• Work closely with Site Engineering and Architecture, business stakeholders, and Merchandising, to evaluate and prioritize business needs
• Evaluate data accuracy and usefulness
• Provide data flow diagrams and documenting processes
• Provide quantitative analysis to support business stakeholder use cases to maximize selling opportunities
• Understand corporate systems, data environments and reporting tools
• Data mine and analyze site customer data and site catalog data, sifting out opportunities to increase sales and average order value
• Research and analyze various data source systems using SQL and/or SQL tools to study the data and match the requirements
• Comfortable coordinating the efforts of others to tackle issues that may reside outside the scope of the candidate's own personal knowledge
• Regular, dependable attendance and punctuality
Qualifications:
Education/Experience:
• BA/BS Degree in Information Systems or related field preferred or equivalent work experience
• Minimum 3-5 years of experience with enterprise data quality and data integration
• Experience & familiarity with customer and product catalog data
• Experience in data analysis and problem solving with large amounts of data
• Working knowledge of big data technologies - Spark, Hadoop, Hive, Scala, R. An interest in ML and algorithms is a bonus
• Ability to create a Proof of Concept using a programming or scripting language e.g. java, perl, python
• Excel technical skills & experience with writing SQL statements for relational databases such as Oracle, Microsoft SQL Server, IBM DB2, MySQL are required for this role
• Strong knowledge and experience with Agile/Scrum methodology and iterative practices
Communication Skills:
• Strong communications skills (spoken and written) and the ability to effectively communicate design recommendations to a varied audience
Reasoning Ability:
• Strong analytical and documentation skills
Company Profile:
As the fastest growing part of Macy's Inc. business, macys.com is achieving record sales and broadening our workforce. With offices in New York and San Francisco, macys.com is the best of all worlds. The entrepreneurial thinking of a Web business complements the stability and support of a national brand. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for continued growth. Employees at macys.com have long term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At macys.com we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of the Internet with the best in retailing, macys.com is reaching new heights.
This job description is not all inclusive. Macy’s Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
Macy's Inc., including Macy's and Bloomingdale's, will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of SFPC Art.49.
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