Experienced Full Stack Data Analyst – Web & Cloud Application Development
Join arenaflex, a leading retail and technology company, as a Full Stack Data Analyst in our Data Ventures team. As a key member of our team, you will play a crucial role in unlocking the full potential of our data by creating and productizing B2B data drives that empower vendors and providers to make faster, better decisions for the business.
About arenaflex
arenaflex is a global retail leader that is committed to helping people live better. Our mission is to make a difference in the lives of millions of customers worldwide by providing them with the best products and services at affordable prices. At arenaflex, we believe that our employees are our greatest asset, and we are committed to creating a work environment that is inclusive, diverse, and supportive of our employees' growth and development.
Job Summary
As a Full Stack Data Analyst, you will be responsible for researching, gathering, and analyzing client data to provide actionable insights that drive business decisions. You will work closely with our business and product partners to identify testing business issues and recognize patterns and valuable opportunities. You will also apply your mastery in quantitative analysis, data mining, and data visualization to uncover hidden trends and provide significant insights.
Key Responsibilities
* Collaborate with business and product partners to tackle testing business issues and recognize patterns and valuable opportunities
- Apply your mastery in quantitative analysis, data mining, and data visualization to uncover hidden trends and provide significant insights
- Define and assess key performance metrics for new product launches
- Create data visualizations to monitor and measure the impact of product drives and special business challenges
- Identify new switches to improve key financial data insights, understanding underlying drivers for change in metrics
- Lead exploratory data analysis including hypothesis testing, statistical derivation, and statistical analysis
- Work with data stewards and data engineering teams to collect and handle accurate data from various sources
- Work effectively cross-functionally and convey data and insights to non-technical business leaders
Essential Qualifications
* Bachelor's degree in Business, Engineering, Statistics, Finance, Mathematics, Computer Science, or related field
- 2 years' experience in data analysis, data science, statistics, or related field
- Solid experience with languages used to control data and extract insights from large data sets (SQL, Python, Presto, etc.)
- Strong storytelling experience with data visualizations in Power BI, Tableau, Looker, etc.
- Experience with data quality tools like Google DataPlex (Collibra Data Quality or SAS Data Management or IBM InfoSphere Data Server)
- Experience with quality testing using Selenium, Cucumber, or Tosca
- Experience in building multi-step ETL jobs/data pipelines and working with workflow management systems
- Experience with handling complex data on cloud platforms (Ideally Google Bigquery and Hive)
- Experience with data modeling (E-R) and have solid BI concepts
- Fundamental understanding of statistics and AI models
- Related experience in the retail or finance industries
- Convincing, engaging oral and written communication skills and ability to build practical relationships
- Willingness to adapt to changing needs in a fast-paced environment
Preferred Qualifications
* Master's degree in Business, Computer Science, Statistics, Finance, Mathematics, or related field
- Experience in data science, data analysis, statistics, or related field
- Experience with data visualization tools like Prophet, Teradata, Hive, AWS Redshift, Sky blue Neurotransmitter Analysis, Snowflake, etc.
- Experience with data quality tools like Google DataPlex (Collibra Data Quality or SAS Data Management or IBM InfoSphere Data Server)
- Experience with quality testing using Selenium, Cucumber, or Tosca
- Experience in building multi-step ETL jobs/data pipelines and working with workflow management systems
- Experience with handling complex data on cloud platforms (Ideally Google Bigquery and Hive)
- Experience with data modeling (E-R) and have solid BI concepts
- Fundamental understanding of statistics and AI models
- Related experience in the retail or finance industries
- Convincing, engaging oral and written communication skills and ability to build practical relationships
- Willingness to adapt to changing needs in a fast-paced environment
Benefits and Advantages
* Competitive salary package
- Motivation grants for outstanding performance
- 401(k) match
- Stock buy plan
- Paid maternity and parental leave
- PTO
- Various health plans
- And many more!
Work Environment and Company Culture
arenaflex is an Equal Opportunity Employer – By Choice. We believe that we are best positioned to help our partners, clients, and the communities we serve live better when we truly know them. That means getting it, respecting, and valuing diversity unique styles, experiences, characters, abilities, thoughts, and conclusions while being inclusive, everything being equal.
How to Apply
If you are a motivated and talented individual who is passionate about data analysis and wants to make a difference in the lives of millions of customers worldwide, we encourage you to apply for this exciting opportunity. Please submit your application through our website, including your resume, cover letter, and any other relevant documents. Apply Job! Apply for this job