Data Analyst - Burlington, United States - IXIS

Description

Job Description


Job Description Salary:
Overview
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.

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 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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