Data Analyst I

BlueLabs is a leading provider of analytics services and technology dedicated to helping partners optimize their data. The Data Analyst I role involves analyzing data, building predictive models, and collaborating with team members to support client projects efficiently.

Responsibilities

• Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
• Support the team in building predictive models, tools, and data visualizations
• Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
• Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
• Strive to support team excellence by documenting processes and evangelizing new approaches
• Work both independently and as part of a team to deliver accurate products on short deadlines
• Such other reasonable tasks as assigned by management

Skills

• An undergraduate degree in a quantitative field or equivalent work experience
• Conceptual understanding of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
• Proficient understanding of a statistical programming language such as R, Python, or Julia
• The ability to create informative and engaging data visualizations using industry leading tools
• The ability to build predictive models using regression and machine learning techniques
• The ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
• Knowledge of experimental design and causal inference
• The ability to create user interfaces for new products using frameworks such as Shiny or Django
• The ability to learn SQL to manipulate data

Benefits

• Premier health insurance plan
• 401K matching
• Unlimited vacation leave
• Paid sick, personal, and volunteer leave
• 13 paid holidays
• 15 weeks paid parental leave
• Professional development stipend & tuition reimbursement
• Macbook Pro laptop & tech accessories
• Bring Your Own Device (BYOD) stipend for mobile device
• Employee Assistance Program (EAP)
• Supportive & collaborative culture
• Flexible working hours
• Remote friendly (within the U.S.)
• Pre-tax transportation options for commuting to our office in Washington, DC
• Lunches and snacks

Company Overview