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 engage vendors and providers to make faster, better decisions for the business.
About arenaflex
arenaflex is a private company that exists to open the full value of our data by creating and productizing B2B data drives that engage vendors and providers to make faster, better decisions for the business. As a part of this transformation, we're looking for enterprising individuals to help drive data productization from idea to delivery.
Job Summary
We're seeking an experienced Full Stack Data Analyst to join our Data Ventures team. As a Full Stack Data Analyst, you will be responsible for researching, gathering, and analyzing client data, transforming raw insights into actionable knowledge. You will work closely with our business and product partners to tackle complex business issues and identify patterns and valuable opportunities.
Key Responsibilities
* Collaborate with business and product partners to tackle complex business issues and identify patterns and valuable opportunities
- Apply your mastery in quantitative analysis, data mining, and data visualization to uncover insights beyond the numbers and provide significant experiences
- 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 help 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 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 datasets (SQL, Python, Presto, etc.)
- Strong narrative 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 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 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 and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
- Comprehensive health and wellness programs
- Paid time off and holidays
- Access to cutting-edge technology and tools
About arenaflex
At arenaflex, we believe that everyone deserves to live better. That's why we're committed to making a positive impact on the lives of our customers, employees, and communities. We're a company that values diversity, equity, and inclusion, and we're dedicated to creating a workplace where everyone feels welcome and valued.
How to Apply
If you're a motivated and talented individual who is passionate about data analysis and business insights, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you!
Equal Opportunity Employer
arenaflex is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion, and we welcome applications from qualified candidates of all backgrounds. We are an affirmative action employer and are committed to creating a workplace where everyone feels welcome and valued.
Document Requirements
* Qualifications certificate with mark sheets
- Passport size photographs
- Signature
How to Apply
* All eligible candidates can apply for this job as mentioned below
- Read the official notification carefully from the official website
- Read the notification carefully before applying
- Fill out the application form (the link is given below)
- Attach the required document and passport size photo with signature
- Then submit. Done.
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