Collaborate with departments across the organization, empowering them to make data-informed decisions, answer questions, and drive scale by analyzing complex datasets and transforming findings into clear, actionable business insights. Use scripting languages (e.g., SQL, Python, R) to find, extract, manipulate, and clean data for use in building visualizations, reports, and analyses. Drive analysis and synthesize insights to highlight trends, answer detailed questions, and make actionable recommendations for partners across the business. Build and publish interactive visualizations in Tableau that can be used by non-technical business users in a self-service manner to answer questions, identify trends, and download clean datasets to support decision making. Act as the SME for key domains of data and own quality assessment and improvement. Run and interpret statistical tests and statistical models as part of the analytics toolkit. Understand the high-level architecture of the data stack and use engineering tools to write exploratory data processing pipelines. Write and present clear summaries of analyses with engaging visualizations of data and actionable recommendations to business stakeholders. Lead discussions of business logic for core metrics in your key domains. Provide feedback on presentations and analyses from other team members. Write code that meets our team’s standards for code quality, including documentation, reproducibility, testing, and peer review using a Bitbucket/Git workflow. Continuously improve existing processes and reporting to allow our team to generate the most value for the business. Make recommendations for new priorities for close business stakeholders based upon data. Lead planning or prioritization meetings with business stakeholders. Mentor junior team members on data exploration, scripting and visualization techniques. Full-time telecommuting.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees