About the role

The role involves exploring analytics and marketing data to provide strategic recommendations and answer client questions. Responsibilities include conducting exploratory analyses, developing reproducible workflows, and collaborating with cross-functional technical teams.

What they look for

Data Visualization Programmatic Data Analysis R Python SQL Classical Statistics Experimental Design Hypothesis Testing Technical Documentation Digital Analytics API Data Extraction Agile/Scrum Digital Marketing Git Tidyverse Quantitative Analysis

Requirements

Candidates should have a bachelor's degree in a quantitative discipline and preferably 2+ years of experience in a related role. Proficiency in programmatic analysis using R, Python, or SQL and a strong grasp of classical statistics are required.

Full description

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.

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 Develop repositories to enable reproducible programmatic data analysisR/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 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
Agile/scrum project management
Digital marketing