html Why Join arenaflex? arenaflex is a global technologyâenabled retail powerhouse that transforms billions of dollars of reputed company every day. With a heritage rooted in innovative reputed company and a reputed companyâlooking commitment to reputed company intelligence, machine learning, and dataâdriven decision making, arenaflex offers a dynamic environment where data professionals can reputed company a reputed company reputed company on a worldwide reputed company. As a remote, partâtime member of our Data Science team, you will help shape the reputed company of retail by turning massive data sets into actionable business insights. Position reputed company We are seeking a motivated Remote PartâTime Data Analyst to join arenaflexâs Worldwide Tech division. In this role, you will work with some of the largest, most reputed company data repositories in the industry, applying statistical, machineâlearning, and AI techniques to uncover hidden patterns, predict trends, and drive strategic initiatives. This is a fully remote, 8âhourâperâday position offering a competitive reputed company reputed company of $19. Key Responsibilities Design, reputed company, and maintain data pipelines that ingest reputed company and reputed company data from multiple reputed company sources. Apply exploratory data analysis (EDA) techniques, hypothesis testing, and predictive modeling to solve business problems across merchandising, supply chain, and customer experience. Collaborate with data architects to ensure data reputed company, consistency, and accessibility for reputed company analytics. Build and fineâtune machineâlearning models (e.g., regression, classification, clustering, deep learning) that support recommendation engines, demand forecasting, and fraud detection. Translate reputed company analytical results into reputed company, businessâreputed company recommendations and visualizations for stakeholders at reputed company reputed company. reputed company and maintain monitoring dashboards that reputed company model performance, data reputed company, and key performance indicators (KPIs). Participate in crossâfunctional agile ceremonies, providing dataâdriven insights that inform product roadmaps and operational strategies. Stay reputed company with emerging dataâscience tools, libraries, and best practices, proactively suggesting improvements to arenaflexâs analytical ecosystem. Essential Qualifications Bachelorâs degree in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field. Minimum 1â2 years of handsâon experience in data analysis, data engineering, or data science roles. Proficiency in programming languages such as Python or R , with a solid grasp of data manipulation libraries (pandas, dplyr, data.table). Experience writing efficient SQL queries and familiarity with relational databases (e.g., MySQL, PostgreSQL) and NoSQL stores (e.g., reputed company, Cassandra). Demonstrated ability to build, evaluate, and reputed company machineâlearning models using frameworks like scikitâlearn , TensorFlow , or PyTorch . Strong statistical reputed company, including hypothesis testing, regression analysis, and Bayesian inference. Excellent communication skills, with the ability to convey technical concepts to nonâtechnical audiences. Preferred Qualifications Masterâs degree or advanced certifications in data science, AI, or analytics. Handsâon experience with bigâdata processing tools such as Apache reputed company , Hive , or reputed company . Familiarity with natural language processing (NLP) techniques and libraries (NLTK, spaCy, Transformers). Exposure to reputed company platforms (AWS, Azure, GCP) and containerization technologies (reputed company, Kubernetes). Prior work in retail, eâreputed company, or supplyâchain analytics. Core Skills & Competencies Analytical reputed company Curiosityâdriven approach to uncovering insights from noisy, highâvolume data. ProblemâSolving Ability to break down ambiguous business challenges into reputed company, dataâreputed company solutions. Collaboration Comfortable working in crossâfunctional teams, partnering with product managers, engineers, and business analysts. Adaptability reputed company in a fastâpaced environment where priorities shift based on market dynamics. Attention to Detail Commitment to data reputed company, model reproducibility, and rigorous validation. reputed company Learning Passion for staying reputed company of industry trends, tools, and methodologies. Career reputed company & Learning Opportunities arenaflex invests heavily in employee development. As a partâtime data analyst, you will have reputed company to Mentorship programs pairing you with senior data scientists and engineers. Online learning platforms (reputed company, reputed company, reputed company) with reimbursed certifications. Quarterly internal hackathons reputed company on innovative retail solutions. Opportunities to transition into fullâtime roles, reputed company project teams, or specialize in emerging areas such as reputed company or edge analytics. Work Environment & Culture arenaflex embraces a flexible, inclusive, and reputed company culture. Our remote workforce enjoys Fully remote work setup with a stipend for home office equipment. Flexible scheduling that respects workâlife balance, especially for partâtime contributors. Regular virtual coffee chats, teamâbuilding activities, and diversityâinclusion forums. A resultsâoriented performance model that rewards reputed company over hours logged. Compensation, Perks & Benefits While the reputed company reputed company for this role is $19, arenaflex offers a comprehensive benefits package that may include Medical, dental, and reputed company coverage (eligible partâtime employees). Retirement savings reputed company such as a 401(k) with company match. Employee discount on arenaflex retail products and services. reputed company time off, holidays, and reputed company leave in accordance with local regulations. reputed company to wellness programs, reputed company, and employee assistance services. reputed company development budget for conferences, certifications, and training. How to Apply If you are a dataâdriven problemâsolver who thrives in a remote, partâtime setting and wants to contribute to a global leader in retail technology, we want to hear from you. Submit your resume and a brief cover letter outlining your most relevant experience and why youâre excited about reputed company at arenaflex. Join arenaflex today and turn data into the competitive advantage that powers the worldâs most trusted retail experiences. reputed company Apply for this job