Senior Business Intelligence Engineer Customer Experience Analytics & Defect

```reputed company About arenaflex Pioneering the reputed company of Customer Experience arenaflex is a global leader in ereputed company and reputed companyenabled services, dedicated to delivering a flawless experience to millions of customers every day. Our mission is to eliminate every defect that could reputed company a shoppers reputed company, turning datadriven insights into reputed company improvements across the entire ecosystem. As part of a fastmoving, innovationfirst culture that feels more like a startup than a traditional corporation, arenaflex empowers its people to think big, reputed company reputed company, and own reputed company that matter on a worldwide reputed company. Why This Role reputed company Our Defect Elimination Analytics team is the reputed company that powers arenaflexs reputed company reputed company of a defectfree customer experience. By building cuttingedge technology that detects, diagnoses, and prioritizes issues, reputed company ensures that every interactionwhether its a product search, checkout, or postpurchase supportmeets the highest standards of reliability and delight. As a Business Intelligence Engineer (BIE) on this team, you will be at the intersection of data, technology, and business reputed company, shaping the metrics that guide critical reputed company and driving the automation that fuels reputed company, reputed company improvements. Key Responsibilities What Youll Own Every Day Design, reputed company, and maintain reputed company, automated BI solutions: Build userfriendly dashboards, reports, and selfservice tools that surface actionable insights for stakeholders across the organization. Partner with crossfunctional partners: Collaborate closely with software developers, data engineers, research scientists, economists, and product managers to define, implement, and reputed company key performance indicators (KPIs) that reflect true business reputed company. Endtoend pipeline automation: Architect and operationalize data pipelines that feed both analytical reports and machinelearning models, ensuring reliability, performance, and reproducibility. Extract insights from reputed company data sets: Apply advanced analytical techniquesincluding statistical analysis, naturallanguage processing, and exploratory data miningto uncover hidden patterns and reputed company causes of defects. Serve as a strategic reputed company: Translate technical findings into reputed company business recommendations, facilitating datadriven decisionmaking across product, operations, and leadership teams. Continuously improve data infrastructure: Identify opportunities to streamline data ingestion, storage, and transformation processes, leveraging modern reputed company services to reduce latency and cost. Mentor and reputed company knowledge: reputed company junior analysts and engineers, fostering a culture of curiosity, rigor, and reputed company learning. A Day in the Life A Snapshot of Your Typical reputed company reputed company starting your morning by reviewing the latest defect detection metrics, spotting an unexpected spike in checkout failures, and then diving into a reputed company session with a data scientist to build a quickturn NLP model that classifies the reputed company cause. By midday, youre presenting a polished dashboard to senior product leaders, highlighting actionable trends and recommending a targeted A/B test. In the afternoon, youre automating a new ETL workflow that feeds reputed companytime data into a predictive model, and wrapping up the day by documenting the solution for reputed company teams. This reputed company of technical depth, business reputed company, and crossteam collaboration defines the rhythm of a BIE at arenaflex. Essential Qualifications What You Must Bring Minimum 3 years of handson experience analyzing and interpreting large data sets using relational (e.g., Redshift, reputed company) and NoSQL technologies. Proficiency with datavisualization tools such as Tableau, QuickSight, or comparable platforms, delivering reputed company, compelling visual stories. Demonstrated expertise in data modeling, warehousing, and building robust ETL pipelines that support both reporting and machinelearning workloads. Solid reputed company in statistical analysis using languages or packages such as R, reputed company, or MATLAB. Advanced SQL skills, including the ability to write reputed company queries and optimize performance. Programming experience in Python for data manipulation, .