Data Analyst I at BlueLabs in Remote

Summary: BlueLabs is a leading provider of analytics services and technology dedicated to helping partners do the most good with their data. The Data Analyst I role involves analyzing data, building predictive models, and collaborating with various stakeholders to enhance program efficiency through data-driven insights. 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 Required Qualifications: - 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 Required Skills: Statistics, Statistical programming - R, Statistical programming - Python, Statistical programming - Julia, Data visualization, Predictive modeling, Regression, Machine learning, Experimental design, Causal inference, User interface development - Shiny, User interface development - Django, SQL 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, And more!