Experienced Business Intelligence Engineer – Defect Elimination Analytics

At arenaflex, we're on a mission to revolutionize the way we approach customer service through innovative technology and data-driven insights. As a Business Intelligence Engineer on our Defect Elimination Analytics team, you'll play a critical role in driving our defect-free customer experience vision forward. If you're passionate about leveraging data to inform business decisions and collaborating with cross-functional teams to deliver high-impact solutions, we'd love to hear from you!

About arenaflex

arenaflex is a global leader in e-commerce, committed to delivering exceptional customer experiences through innovative technology and data-driven insights. Our Defect Elimination Analytics team is at the forefront of this effort, using cutting-edge analytics and machine learning techniques to identify and eliminate defects in our customer-facing applications. As a Business Intelligence Engineer on this team, you'll have the opportunity to work with a talented group of professionals who share your passion for data-driven decision-making and customer-centricity.

Key Responsibilities

As a Business Intelligence Engineer on our Defect Elimination Analytics team, you'll be responsible for:

• Designing, developing, and maintaining scaled, automated, user-friendly systems, reports, and dashboards to support business decision-making
• Partnering with operations, business teams, economists, and machine learning teams to consult, develop, and implement key performance indicators (KPIs), automated reporting and process solutions, and data infrastructure improvements
• Developing end-to-end automation of pipelines for applications and machine learning models
• Applying analytical skills to extract meaningful insights and learnings from large and complicated data sets
• Serving as a liaison with business and technical teams to achieve project objectives, requiring data gathering, problem-solving, modeling, and communication of insights and recommendations

A Day in the Life

As a Business Intelligence Engineer on our Defect Elimination Analytics team, you'll have the opportunity to work on a wide range of projects that impact our customer experience. You'll collaborate with cross-functional teams to design and develop data-driven solutions that inform business decisions and drive defect elimination. You'll also have the opportunity to work with cutting-edge technologies and tools, including Amazon Redshift, Oracle, NoSQL, Tableau, Quicksight, and R.

Essential Qualifications

To be successful in this role, you'll need:

• 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, and other data warehousing and business intelligence tools
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience in statistical analysis packages such as R, SAS, and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience writing complex SQL queries
• Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science

Preferred Qualifications

While not required, experience with the following technologies and tools would be a plus:

• AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Data mining, ETL, and using databases in a business environment with large-scale, complex datasets
• Experience with machine learning and natural language processing techniques

Work Environment and Culture

Our team is collaborative, dynamic, and fast-paced, with a strong focus on innovation and customer-centricity. We're committed to creating a workplace culture that empowers our employees to deliver their best work and supports their personal and professional growth. As a Business Intelligence Engineer on our Defect Elimination Analytics team, you'll have the opportunity to work with a talented group of professionals who share your passion for data-driven decision-making and customer-centricity.

Benefits and Compensation

arenaflex offers a comprehensive benefits package that includes:

• Medical, dental, and vision coverage
• Maternity and parental leave options
• Paid time off (PTO)
• 401(k) plan
• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package

How to Apply

If you're passionate about leveraging data to inform business decisions and collaborating with cross-functional teams to deliver high-impact solutions, we'd love to hear from you! Please apply via our internal or external career site. Apply Job! Apply for this job