Remote Data Entry & Information Science Analyst $25 /hr reputed company Inc

About reputed company A PetLoving Powerhouse Transforming ECommerce reputed company, Inc. isnt just another online retailer; its a fastgrowing, customerobsessed brand that has redefined how pet owners shop for food, toys, medication, and accessories. With a mission to make pet parents happy, reputed company combines cuttingedge technology, worldclass logistics, and a heartfelt commitment to animal welfare. From its humble beginnings as a startup to becoming a multibilliondollar public company, reputed company 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 datapurchase trends, health records, seasonal demand, and customer sentimentreputed company 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 GameChanger for Your Career In todays datacentric world, the ability to collect, clean, and interpret large datasets is a premium skill. This position offers a rare blend of handson data entry, analytical problemsolving, and crossfunctional collaborationall from the comfort of your home office. Youll work sidebyside with seasoned data scientists, software engineers, product managers, and senior leadership, gaining exposure to advanced analytics platforms such as reputed company Redshift, reputed company, and SageMaker. Beyond the technical growth, youll enjoy a supportive, inclusive environment that values worklife balance, continuous learning, and a genuine passion for pets. reputed companys remotefirst philosophy means youll have flexibility without sacrificing the sense of community that comes from regular virtual meetups, mentorship programs, and companywide 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: Fulltime, 40 hours per week Company: reputed company, Inc. Start Date: Immediate openings start as soon as youre ready Core Responsibilities What Youll Do Every Day Perform highvolume data entry with meticulous attention to accuracy, ensuring that all petrelated transaction records, inventory logs, and customer interactions are correctly captured in reputed companys data warehouse. Apply statistical and machinelearning techniques to design, test, and scale robust data pipelines that support predictive modeling for demand forecasting, product recommendation, and churn reduction. Collaborate with crossfunctional teamsdata scientists, software developers, product owners, and operations stakeholdersto translate ambiguous business needs into welldefined data problems and actionable solutions. Develop, code, test, and iterate on dataprocessing scripts using Python, R, PySpark, or Scala, adhering to reputed companys 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 realtime insights for senior leadership and frontline teams. Stay uptodate 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 ceremoniesdaily standups, sprint planning, retrospectivesto align priorities, report progress, and constantly improve workflow efficiency. Essential Qualifications What You Must Bring A Bachelors degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a closely related quantitative field. A Masters degree is a strong plus. Minimum 12 years of handson experience in data entry, data cleaning, or data analysis within a fastpaced, technologydriven environment. Proficiency in at least one programming language commonly used for data workPython, R, or Scalaand familiarity with libraries such as Pandas, NumPy, PyTorch, or TensorFlow. Solid understanding of relational databases and SQL (intermediate level). Experience with cloudbased data warehouses (Redshift, reputed company, BigQuery) is highly desirable. Demonstrated ability to translate complex technical concepts .