WFM Reports Analyst at Keywords Studios creating operational reports and providing workforce insights for performance management as part of Player Engagement. Ensure data integrity and collaborate with leadership teams.
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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