Experienced Business Intelligence Engineer – Defect Elimination Analytics

At arenaflex, we're on a mission to revolutionize the way we approach customer service by harnessing the power of innovative technology. Our Amazon Defect Elimination Analytics team is at the forefront of this movement, driving arenaflex towards a defect-free customer experience through cutting-edge analytics and data-driven insights. We're seeking a passionate, results-oriented Business Intelligence Engineer (BIE) to join our team and help us continue to push the boundaries of what's possible.

About arenaflex

arenaflex is a global leader in customer service, with a commitment to delivering exceptional experiences for our customers. Our team is made up of talented individuals from diverse backgrounds, united by a shared passion for innovation and a drive to make a meaningful impact. We're not just a company – we're a community of like-minded individuals who are dedicated to pushing the boundaries of what's possible.

The Role

As a Business Intelligence Engineer on our Defect Elimination Analytics team, you'll play a critical role in helping us drive defect elimination and improve customer satisfaction. You'll work closely with our software developers, data engineers, research scientists, economists, program and product managers to provide insights on customer feedback, create key performance indicators (KPIs) for our products, and assist in feature engineering and model development. Your expertise will be essential in helping us identify areas for improvement and develop data-driven solutions to drive business growth.

Key Responsibilities

* Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, and other data visualizations to support business decision-making

• Partner with operations, business teams, economists, and machine learning teams to consult, develop, and implement KPIs, automated reporting and process solutions, and data infrastructure improvements to meet business needs
• Develop the end-to-end automation of pipelines for applications and machine learning models
• Apply analytical skills to extract meaningful insights and learnings from large and complicated data sets
• Serve 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 team, you'll have the opportunity to work on a wide range of projects, from developing data visualizations to creating predictive models. You'll collaborate with a talented team of engineers, scientists, and economists to drive business growth and improve customer satisfaction. You'll also have the chance to work on cutting-edge technologies, including big data, machine learning, and data visualization.

Essential Qualifications

* 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.

• 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 relevant field (e.g., computer science, mathematics, statistics)

Preferred Qualifications

* Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Work Environment and Culture

Our team is fast-paced and dynamic, with a strong focus on collaboration and innovation. We're committed to creating a welcoming and inclusive culture that empowers our team members to deliver their best work. We believe in the importance of work-life balance and offer a range of benefits to support our team members' well-being.

Benefits

* 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
• Opportunities for career growth and professional development
• Collaborative and inclusive work environment
• Flexible work arrangements and remote work options

Compensation

The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors, including market location and may vary depending on job-related knowledge, skills, and experience.

How to Apply

If you're passionate about business intelligence, data analytics, and customer service, we'd love to hear from you! Please submit your application via our internal or external career site. We're an equal opportunity employer and welcome applications from diverse candidates. Apply Job! Apply for this job