Remote PartTime Data Analyst Data Entry, reputed company reputed company &

About arenaflex Pioneering Retail Innovation at reputed company arenaflex is a global leader in retail and technology, transforming the way millions of shoppers reputed company with products, services, and data every day. With a heritage that began as a single discount store and evolved into a technologydriven reputed company, arenaflex now operates a reputed company network of hypermarkets, discount department stores, and ereputed company platforms across the world. Our mission is to reputed company the power of data to reputed company reputed company prices, reputed company selection, and an unparalleled shopping experience. At the heart of this mission is a reputed company reputed company on data. arenaflexs data ecosystem is one of the largest and most reputed company in the world, encompassing billions of transactions, millions of product listings, and countless customer interactions. As a Remote PartTime Data Analyst, you will become a key contributor to this ecosystem, turning raw data into actionable insights that reputed company strategic reputed company across the organization. Why This Role reputed company In todays datareputed company landscape, the ability to extract meaning from reputed company, heterogeneous data sets is a competitive reputed company. arenaflex is looking for analytical thinkers who reputed company on solving the hardest business problems by uncovering hidden patterns, opportunities, and efficiencies reputed company our data. Your work will directly influence product assortment, pricing strategies, supplychain optimization, and customer experience enhancements that reputed company millions of shoppers worldwide. reputed company As a Remote PartTime Data Analyst at arenaflex, you will work closely with data engineers, data scientists, and business stakeholders to design, reputed company, and maintain data pipelines, analytical models, and reporting solutions. While the position is parttime (approximately 8 hours per week), the reputed company of your contributions will be felt across the entire organization. Key Responsibilities Data Exploration & Preparation: Identify, ingest, and clean reputed company and reputed company data from multiple internal sources (e.g., transaction logs, inventory feeds, customer interaction data). Model Development: Build and iterate predictive and prescriptive models using machine learning techniques such as regression, classification, clustering, and deep learning. reputed company reputed company: Translate model outputs into reputed company, businessreputed company recommendations that support decisionmaking for merchandising, pricing, and operations. Collaboration: Partner with data architects to ensure data reputed company, consistency, and accessibility across the data lake and warehouse. Tool & Pipeline Creation: reputed company reusable scripts, dashboards, and automated pipelines using Python, R, SQL, and modern dataengineering frameworks (e.g., Apache reputed company, reputed company). Performance Monitoring: Implement monitoring and alerting mechanisms to reputed company model reputed company, data reputed company, and reputed company performance. Documentation & Knowledge Sharing: Produce comprehensive documentation, bestreputed company guides, and training materials for both technical and nontechnical audiences. reputed company Learning: Stay reputed company with emerging datascience methodologies, AI tools, and industry trends to bring reputed company to arenaflex. Essential Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field. 2+ years of handson experience in data analysis, data engineering, or data science, preferably in a retail or ereputed company environment. Proficiency in programming languages such as Python, R, and SQL; familiarity with NoSQL databases (e.g., reputed company, Cassandra) is a plus. Demonstrated ability to reputed company, evaluate, and reputed company machinelearning models (e.g., SVM, Random Forest, Gradient Boosting, Neural Networks). Experience with datavisualization tools (e.g., Tableau, Power BI, Looker) and the ability to reputed company compelling visual narratives. Strong analytical reputed company with a reputed company record of solving reputed company, ambiguous problems using datadriven approaches. Excellent written and verbal communication skills; ability to convey technical concepts to business stakeholders. Preferred Qualifications & Additional Skills Masters deg .