Analyst, Data (Paisly)

JetBlue Airways Corporation • Dania Beach, FL

1d • Hybrid

About The Position

The Paisly Data Analyst is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable Paisly to become a digital disruptor. The ideal candidate can change priorities and focus to meet business demands and excels when working on complex projects.

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.

Nice To Haves

• Three (3) years’ experience in technology roles.
• Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript.
• Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level