Data Analyst

Responsibilities

• Conduct exploratory analyses that combine disparate data sources, develop clear data visualizations, and generate narrative takeaways for both ad-hoc and recurring reporting needs
• Improve existing report templates, including narrative structure, look and feel, and data visualizations, with an emphasis on reproducible workflows (such as Git)
• Gather qualitative and quantitative research findings to build supporting evidence for retail and digital strategies
• Collaborate with developers, data scientists, data engineers, strategists, and other technical and non-technical stakeholders to continually iterate on data products and other deliverables
• Develop repositories to enable reproducible programmatic data analysis
• R/tidyverse skills to work toward independence in programmatic data analysis
• Maintain clear lines of communication with supervisor, team, and clients

Requirements

We are looking for someone with a passion for telling stories through data to join us in a small, high-performance, cross-functional environment.

Qualifications

• B.A./B.S. (preferably in a quantitative discipline)
• 2+ years’ experience in a full-time position in a related role preferred, but not required
• Uncompromising attention to detail and a systematic approach to problem-solving, with good data intuition
• Experience with programmatic data analysis (preferably in R, Python, and/or SQL), with a strong interest in continuing to develop these skills
• Experience with classical statistics, including experimental design and hypothesis testing
• Intellectual curiosity and initiative – always looking for ways to improve current products and processes
• Superb writing skills in both non-technical client communications and technical documentation
• Experience with the following a plus: Digital analytics (such as Google Analytics or Adobe Analytics) and e-commerce fundamentals
• Experience pulling data from APIs and database connections
• Digital marketing
• Agile/scrum project management

Skills

• Programmatic data analysis (R, Python, SQL)
• Classical statistics (experimental design, hypothesis testing)
• Writing skills (non-technical client communications, technical documentation)

Benefits

We offer competitive compensation packages including health, dental, short-term and long-term disability and vision insurance, 401(k) with company match, flexible work schedules, wellness plan, and exceptional growth opportunities.