Data Analyst | Hybrid


Location: Burlington, Vermont

Type: Full Time

Education: Bachelor's Degree

Experience: 3 - 5 Years

IXIS is seeking an energetic and curious professional to fill the position of Data Analyst for the company. The core responsibilities for this role include exploring analytics and marketing data to answer client questions, collaborating with the Data Science team to perform quantitative analyses, and summarizing key findings and strategic recommendations for our clients. We are looking for someone with a passion for telling stories through data to join us in a small, high-performance, cross-functional environment. This is a full-time, hybrid position in our Burlington, Vermont office. We offer competitive compensation packages including health, dental, life, short-term and long-term disability and vision insurance, 401(k) with company match, flexible work schedules, and exceptional growth opportunities.


  • 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 R/tidyverse skills to work toward independence in programmatic data analysis
  • Maintain clear lines of communication with supervisor, team, and clients

Desired Skills and Experience

  • B.A./B.S. (preferably in a quantitative discipline)
  • 2+ years’ experience in a full-time position in a related role
  • 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
    • Agile/scrum project management
    • Digital marketing

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