Remote Data Entry & Information Science Analyst – $25 /hr – Chewy Inc – Full‑Time Work‑From‑Home Opportunity

About Chewy – A Pet‑Loving Powerhouse Transforming E‑Commerce Chewy, Inc. isn’t just another online retailer; it’s a fast‑growing, customer‑obsessed brand that has redefined how pet owners shop for food, toys, medication, and accessories. With a mission to “make pet parents happy,” Chewy combines cutting‑edge technology, world‑class logistics, and a heartfelt commitment to animal welfare. From its humble beginnings as a startup to becoming a multi‑billion‑dollar public company, Chewy has built a culture where innovation meets empathy, and every team member gets to make a tangible difference in the lives of millions of pets and their families. Because the pet industry is driven by data—purchase trends, health records, seasonal demand, and customer sentiment—Chewy relies on a robust information science team to turn raw data into actionable insights. As a Remote Data Entry & Information Science Analyst, you will be at the heart of that transformation, helping the company make smarter decisions, launch new products faster, and deliver an unparalleled shopping experience. Why This Role Is a Game‑Changer for Your Career In today’s data‑centric world, the ability to collect, clean, and interpret large datasets is a premium skill. This position offers a rare blend of hands‑on data entry, analytical problem‑solving, and cross‑functional collaboration—all from the comfort of your home office. You’ll work side‑by‑side with seasoned data scientists, software engineers, product managers, and senior leadership, gaining exposure to advanced analytics platforms such as Amazon Redshift, Snowflake, and SageMaker. Beyond the technical growth, you’ll enjoy a supportive, inclusive environment that values work‑life balance, continuous learning, and a genuine passion for pets. Chewy’s remote‑first philosophy means you’ll have flexibility without sacrificing the sense of community that comes from regular virtual meet‑ups, mentorship programs, and company‑wide events. Position at a Glance • Job Title: Remote Data Entry & Information Science Analyst • Compensation: $25 per hour (competitive hourly rate with performance bonuses) • Location: Fully remote – work from anywhere in the United States • Employment Type: Full‑time, 40 hours per week • Company: Chewy, Inc. • Start Date: Immediate openings – start as soon as you’re ready Core Responsibilities – What You’ll Do Every Day • Perform high‑volume data entry with meticulous attention to accuracy, ensuring that all pet‑related transaction records, inventory logs, and customer interactions are correctly captured in Chewy’s data warehouse. • Apply statistical and machine‑learning techniques to design, test, and scale robust data pipelines that support predictive modeling for demand forecasting, product recommendation, and churn reduction. • Collaborate with cross‑functional teams—data scientists, software developers, product owners, and operations stakeholders—to translate ambiguous business needs into well‑defined data problems and actionable solutions. • Develop, code, test, and iterate on data‑processing scripts using Python, R, PySpark, or Scala, adhering to Chewy’s coding standards and best practices. • Conduct exploratory data analysis (EDA) to uncover hidden patterns, anomalies, and opportunities that drive strategic decisions across marketing, supply chain, and customer experience. • Maintain and optimize data visualization dashboards (e.g., Tableau, Looker) to provide real‑time insights for senior leadership and front‑line teams. • Stay up‑to‑date with emerging technologies, industry trends, and best practices in data engineering, AI, and cloud platforms, and proactively share knowledge with peers. • Identify, troubleshoot, and resolve data quality issues, ensuring the integrity and reliability of all analytical outputs. • Document all processes, data schemas, and analytical methodologies in clear, concise, and accessible formats for future reference and regulatory compliance. • Participate in agile ceremonies—daily stand‑ups, sprint planning, retrospectives—to align priorities, report progress, and constantly improve workflow efficiency. Essential Qualifications – What You Must Bring • A Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a closely related quantitative field. A Master’s degree is a strong plus. • Minimum 1‑2 years of hands‑on experience in data entry, data cleaning, or data analysis within a fast‑paced, technology‑driven environment. • Proficiency in at least one programming language commonly used for data work—Python, R, or Scala—and familiarity with libraries such as Pandas, NumPy, PyTorch, or TensorFlow. • Solid understanding of relational databases and SQL (intermediate level). Experience with cloud‑based data warehouses (Redshift, Snowflake, BigQuery) is highly desirable. • Demonstrated ability to translate complex technical concepts into clear, non‑technical language for diverse audiences. • Strong analytical mindset with a proven track record of problem‑solving, critical thinking, and attention to detail. • Excellent written and verbal communication skills, with the ability to collaborate effectively across remote teams. Preferred Qualifications – What Will Set You Apart • Experience with machine‑learning model development and deployment pipelines (e.g., using SageMaker, MLflow, or similar platforms). • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. • Previous exposure to pet‑industry data, e‑commerce analytics, or customer‑behavior modeling. • Certification in cloud platforms (AWS Certified Data Analytics, Google Cloud Professional Data Engineer, etc.). • Demonstrated participation in open‑source projects, data‑science competitions (Kaggle), or academic research. Key Skills & Competencies for Success • Data Literacy: Ability to ingest, cleanse, transform, and visualize large datasets with confidence. • Technical Acumen: Comfort with programming, APIs, and cloud environments; quick to learn new tools. • Business Insight: Understanding of how data influences product strategy, supply chain efficiency, and customer satisfaction in the pet‑care market. • Collaboration: Proactive teamwork, respectful communication, and the knack for building strong relationships with remote colleagues. • Adaptability: Thrives in a dynamic, fast‑moving setting where priorities can shift rapidly. • Integrity: Commitment to data privacy, security, and ethical use of information. Career Growth & Learning Opportunities Chewy invests heavily in the professional development of its people. As a Remote Data Entry & Information Science Analyst, you will have access to a wealth of resources: • Mentorship Programs: Pairing with senior data scientists and engineers to accelerate skill acquisition. • Learning Stipends: Annual budget for courses, certifications, conferences, and industry events. • Internal Hackathons: Opportunity to pitch innovative ideas, prototype solutions, and win recognition. • Career Pathways: Clear progression routes toward roles such as Data Engineer, Machine‑Learning Engineer, Product Analyst, or Data Science Manager. • Cross‑Functional Rotations: Short‑term assignments in marketing analytics, supply‑chain optimization, or customer experience teams to broaden your perspective. Work Environment & Company Culture Chewy’s remote‑first policy means you’ll enjoy a flexible schedule, a fully equipped home‑office allowance, and a vibrant virtual community. The company values: • Pet‑Centric Passion: Every employee, whether a dog lover, cat enthusiast, or reptile caretaker, contributes to a culture that celebrates pets. • Inclusivity & Diversity: Chewy strives for a workplace where every voice is heard, and diverse backgrounds fuel creativity. • Customer Obsession: An unwavering focus on delighting pet parents drives every project and decision. • Work‑Life Harmony: Generous paid time off, mental‑health days, and a supportive leadership team dedicated to your well‑being. • Transparency: Open communication channels, regular town‑halls, and clear metrics that keep everyone aligned. Compensation, Perks & Benefits While the hourly rate starts at $25, Chewy offers a comprehensive total rewards package that includes: • Performance‑based bonuses tied to individual and company milestones. • Health, dental, and vision insurance with premium contributions covered for employees and their families. • 401(k) plan with company match to help you build long‑term financial security. • Employee Stock Purchase Plan (ESPP) and equity opportunities for eligible team members. • Generous paid parental leave, adoption assistance, and flexible paid time off. • Remote‑work stipend for high‑speed internet, ergonomic equipment, and home‑office supplies. • Wellness programs, including virtual fitness classes, meditation sessions, and mental‑health counseling. • Pet‑related perks: discounts on Chewy purchases, free pet‑care resources, and occasional “Pet‑Buddy” care packages. How to Apply – Take the Next Step If you’re a data‑driven professional who loves pets and is eager to make an impact from anywhere in the United States, we want to hear from you. Follow these steps to submit your application: • Prepare an updated resume highlighting your data entry, analysis, and programming experience. • Write a concise cover letter that tells us why you’re passionate about Chewy’s mission and how your skill set aligns with the role. • Click the “Apply Now” button below, upload your documents, and complete the short questionnaire. • Our recruiting team will review your submission promptly and reach out to schedule a virtual interview. We celebrate diverse backgrounds and encourage applicants of all identities, experiences, and abilities to apply. Ready to Join the Chewy Family? Become part of a dynamic, data‑focused team that’s redefining pet commerce while enjoying the flexibility of remote work. Apply today, and let’s build a brighter, data‑powered future for pets and their families together. Apply To This Job Apply This Job Apply tot his job Apply To this Job