Join arenaflex, a leading e-commerce company, in a dynamic role that combines business acumen, analytical skills, and technical expertise. As an Experienced Full Stack Data Analyst, you will play a critical part in driving business growth and decision-making through data-driven insights and strategic recommendations.
**About arenaflex**
arenaflex is a global e-commerce leader that offers a wide range of home goods and furnishings. Founded in 2002, the company has grown to become one of the largest online retailers in the United States, providing customers with an extensive selection of products, competitive prices, and convenient online shopping experiences. arenaflex is committed to innovation, customer satisfaction, and employee development, making it an exciting and rewarding place to work.
**Job Summary**
We are seeking an Experienced Full Stack Data Analyst to join our OPR Examination Group, a team that powers arenaflex's business intelligence and analytics capabilities. As a key member of this team, you will work closely with cross-functional groups to analyze complex business problems, develop data-driven solutions, and drive business growth through data-driven insights and strategic recommendations.
**Responsibilities**
* Foster factual and logical models to support cross-functional drives
* Collaborate and partner closely with Information Solutions, Information Representation, and other teams to ensure the adaptable rollout of proposals
* Use data science and analytics methods to bring answers to complex questions into scope
* Be the subject matter expert for data, analysis, and insights within the Worldwide Tasks or Store network association to ensure accurate and appropriate interpretation of core business metrics and customer behavior
* Support wide-scale improvement drives across thousands of providers to improve efficiency and visibility across the store network for our provider partners
* Analyze key performance metrics to identify driver performance issues and drive change
* Consistently deliver performance patterns and upgrades to senior management and leadership
**Requirements**
* Bachelor's degree in a quantitative field such as Software Engineering, Computer Science, Statistics, Mathematics, Data Science, or Economics
* Experience in a quantitative, business analytics, data science, or engineering role performing quantitative analysis is a plus
* Active experience leading quantitative analyses on large datasets; expertise with Excel (pivot tables, vlookup, etc.), and programming languages (Python, R)
* Strong knowledge of SQL (TSQL, Google BigQuery, Vertica, etc.) including joins, aggregations, and subqueries
* Familiarity with data representation tools (Tableau, Looker, DataStudio) is a plus
* High attention to detail and proven ability to manage multiple priorities
* Results-oriented, collaborative, and inquisitive attitude
* Strong written and verbal communication skills with a collaborative and cooperative disposition
* Experience in delivering successful projects from start to finish on time
**Benefits of Working at arenaflex**
* Competitive salary and benefits package
* Opportunity to work with a leading e-commerce company and contribute to its growth and success
* Collaborative and dynamic work environment with a diverse and global team
* Professional development opportunities and training programs
* Flexible work arrangements and remote work options
* Access to a wide range of products and services through the arenaflex employee discount program
* Recognition and rewards for outstanding performance and contributions
**Equal Opportunity Employer**
arenaflex is an equal opportunity employer and values diversity and inclusion. We encourage individuals from all backgrounds to apply and welcome applications from qualified candidates who share our commitment to innovation, customer satisfaction, and employee development.
**How to Apply**
If you are a motivated and results-driven individual with a passion for data analysis and business growth, please submit your application through our website. We look forward to hearing from you!