Category Analyst role at Constellation Brands analyzing data for Category Management and Sales teams. Managing space planning projects and developing category insights for strategic support.
About the role
- Data Analyst for JetBlue's Paisly service, interpreting and analyzing data to drive product decisions. Collaborating with teams and presenting findings for improved digital disruption.
Responsibilities
- Build and prototype analysis pipelines to provide insights at scale.
- Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion.
- Run live experiments that drive key product decisions.
- Work with data engineers to embed the research into production pipelines.
- Partner with product management and marketing teams to identify opportunities, envision and design technology products.
- Assist with creating the data infrastructure and analytics environments.
- Participate in the DevOps practice as it pertains to the data team.
- Other complex projects and duties as assigned.
Requirements
- Bachelor’s Degree; OR demonstrated ability to perform job responsibilities with a combination of High School Diploma/GED and at least four (4) years of previous relevant work experience.
- One (1) years’ experience in an Analyst role.
- Good understanding of software engineering environments and standards.
- Experience managing Service Level Agreements (SLA’s) interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships.
- Pass a ten (10) year background check.
- Legally eligible to work in the country in which the position is located.
- Proficient in Python with numpy, pandas.
- Proficient with Jupyter notebooks, Datalab notebooks.
- Proficient in linear algebra and statistics.
- Familiar with DataStudio, Looker, Tableau.
- Familiar with basic Structured Query Language (SQL) for structured and unstructured data.
- Familiar with cloud technologies, Software as a Service (SAAS), Infrastructure as a Service (IAAS).
- Familiar with Machine Learning (ML) concepts.
Benefits
- Computer and other office equipment
- Professional appearance
- Flexible hours
- Regular attendance and punctuality
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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