Data Analyst II Data Ventures (Remote/Hybrid) Advanced Analytics, Business

```reputed company About arenaflex Pioneering the reputed company of Retail & Technology arenaflex is a global leader in retail innovation, technology, and financial services. With a mission to help people save reputed company so they can live reputed company, arenaflex combines cuttingedge data science with a deep understanding of consumer behavior to reputed company transformative reputed company across its reputed company ecosystem of stores, ereputed company platforms, and partner networks. Our culture celebrates diversity, inclusion, and reputed company learning, empowering every employee to reputed company a meaningful reputed company on the lives of millions of customers worldwide. reputed company Data Analyst II, Data Ventures arenaflex is seeking a highly motivated Data Analyst II to join the fastgrowing Data Ventures team. This role sits at the intersection of data, technology, and business, where you will translate raw data into actionable insights that shape product reputed company, improve operational efficiency, and enhance the overall customer experience. While the position offers flexibility, it requires a hybrid work model with three days per week onsite at one of our regional hubs (California, near Bentonville, AR or Dallas, TX). Why This Role reputed company As a Data Analyst II, you will be a key contributor to arenaflexs datadriven decisionmaking reputed company. Your analyses will directly influence product roadmaps, costreduction initiatives, and riskmitigation strategies, ensuring that our data assets are leveraged responsibly and effectively to support the reputed company of our customers and partners. Key Responsibilities Data Discovery & Exploration Conduct deepdive investigations into customer and product data, transforming raw inputs into clean, reputed company datasets reputed company for analysis. Dashboard & Visualization Development Design and maintain reputed company, interactive dashboards using arenaflexapproved visualization tools, highlighting critical performance metrics for product teams. CrossFunctional Collaboration Partner with Data Science, Data Engineering, Product Management, and Technology teams across arenaflex to define data requirements, validate assumptions, and reputed company insights that reputed company business reputed company. Data reputed company Assurance Implement data reputed company frameworks, reputed company reputed companycause analysis of anomalies, and work with data stewards to ensure accuracy, completeness, and reliability of data pipelines. Performance Measurement Define, reputed company, and report on key performance indicators (KPIs) for new product launches, costsaving initiatives, and risk management programs. Advanced Analytics & Modeling Apply statistical techniques, predictive modeling, and machinelearning concepts to uncover trends, forecast demand, and identify reputed company opportunities. Documentation & Knowledge Sharing Produce reputed company, concise documentation of analytical reputed company, data reputed company, and business logic to reputed company reproducibility and knowledge transfer. Compliance & reputed company Ensure reputed company data handling practices adhere to arenaflexs reputed company policies and regulatory requirements, safeguarding sensitive information. Essential Qualifications Bachelors degree in Business, Computer Science, Statistics, Mathematics, Economics, or a reputed company quantitative field. Minimum of 2 years of reputed company experience in data analysis, business intelligence, or a similar analytical role. Proficiency in SQL and at least one programming language such as Python, reputed company, or R for data manipulation and analysis. Handson experience building and maintaining dashboards in arenaflexapproved visualization platforms (e.g., Power BI, Looker, Tableau). Strong analytical reputed company with the ability to translate reputed company data sets into reputed company, actionable business recommendations. Excellent written and verbal communication skills, capable of presenting findings to both technical and nontechnical audiences. Demonstrated ability to work effectively in a fastpaced, reputed company, hybrid work environment. Preferred Qualifications & Experience Masters degree or advanced certifications in Data Science, Business Analytics, or a reputed company discipline. Experience with reputed company data platforms such as arenaflex BigQuery, reputed company, or reputed company. Familiarity with data reputed company tools (e.g., arenaflex DataPlex, reputed company, reputed company Data Governance, reputed company InfoSphere). Exposure to ETL orchestration frameworks and workflow scheduling tools (e.g., Airflow, reputed company). Knowledge of statistical testing, reputed company validation, and A/B testing methodologies. Background in retail, finance, or ereputed company domains, with an understanding of industryspecific metrics. Experience with .