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Why talentedge?
talentedge is a forward‑thinking leader in the digital health and retail pharmacy space, delivering seamless omnichannel experiences to millions of customers every day. With a heritage of more than 170 years, talentedge combines deep industry expertise with cutting‑edge technology to improve health outcomes, simplify access to care, and empower communities across the United States and its territories. As a company that values innovation, inclusion, and continuous learning, talentedge offers a dynamic environment where ambitious professionals can grow, experiment, and make a real impact on the future of health services.
Position Overview
We are seeking an Entry‑Level Remote Data Entry Analyst to join our growing analytics team. This role is designed for motivated individuals who are eager to apply data‑driven thinking to real‑world business challenges. While the title emphasizes data entry, the position expands into data validation, basic analytics, and collaborative problem‑solving with cross‑functional stakeholders. You will work remotely, enjoy a flexible schedule, and receive a competitive salary plus a comprehensive benefits package.
Key Responsibilities
- Data Acquisition & Entry: Accurately capture, clean, and upload large volumes of structured and unstructured data from internal systems and external sources into talentedge’s data warehouses.
- Quality Assurance: Perform routine data validation checks, identify inconsistencies, and flag anomalies for senior analysts to investigate.
- Basic Reporting: Generate simple dashboards and summary reports using tools such as Excel, Power BI, or Tableau to support day‑to‑day operational decisions.
- Collaboration: Work closely with finance, product, and engineering teams to understand data requirements and ensure timely delivery of information.
- Documentation: Maintain clear documentation of data pipelines, entry procedures, and quality‑control protocols.
- Continuous Improvement: Suggest enhancements to data entry workflows, automation opportunities, and best‑practice standards.
- Learning & Development: Participate in internal training programs on SQL, Python, and data‑visualization techniques to expand technical skill sets.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related STEM field; or a high school diploma/GED with at least 7 years of relevant experience.
- Experience: Minimum of 2 years of hands‑on experience working with large datasets, data entry, or data validation in a business environment.
- Technical Skills: Proficiency in SQL and Python (including libraries such as Pandas and NumPy). Familiarity with data‑visualization tools (e.g., Matplotlib, Power BI, Tableau) is a plus.
- Analytical Mindset: Ability to interpret data trends, spot outliers, and communicate findings in plain language.
- Communication: Strong written and verbal communication skills, with the ability to translate technical details for non‑technical audiences.
- Remote Work Discipline: Proven ability to manage time effectively, stay organized, and meet deadlines while working independently.
Preferred Qualifications
- Master’s degree (M.S.) in a quantitative discipline such as Data Science, Statistics, or Computer Science.
- Experience with cloud platforms (Azure, AWS, or Google Cloud) and data‑pipeline tools like Databricks or Snowflake.
- Exposure to machine‑learning concepts (e.g., decision trees, clustering, regression) and basic model evaluation.
- Background in healthcare, retail pharmacy, or related regulated industries.
- Familiarity with version‑control systems (GitHub) and agile development practices.
- Demonstrated ability to work in fast‑paced, ambiguous environments and prioritize competing demands.
Core Skills & Competencies
- Data Literacy: Understanding of data structures, relational databases, and data‑cleaning techniques.
- Problem Solving: Ability to break down complex problems into manageable steps and propose practical solutions.
- Attention to Detail: Meticulous approach to data entry and validation to ensure high‑quality outputs.
- Collaboration: Team‑oriented mindset with a willingness to share knowledge and support peers.
- Adaptability: Comfort with learning new tools, technologies, and processes as the business evolves.
- Ethical Awareness: Commitment to data privacy, security, and compliance with industry regulations.
Compensation, Perks & Benefits
talentedge offers a market‑competitive salary that reflects your experience and the value you bring to the team. In addition to base pay, you will enjoy a robust benefits suite, including:
- Company‑paid medical, dental, vision, and prescription coverage.
- Life insurance and voluntary personal accident coverage.
- 401(k) retirement savings plan with company match.
- Employee Stock Purchase Plan (ESPP) to share in talentedge’s growth.
- Generous paid time off (PTO), holidays, and parental leave.
- Remote‑work stipend for home‑office equipment and internet.
- Professional development budget for certifications, conferences, and online courses.
- Employee discount program for talentedge products and services.
Career Growth & Learning Opportunities
At talentedge, your career trajectory is limited only by your ambition. As you master data entry and validation, you can progress into more advanced analytics roles, such as:
- Data Analyst – building interactive dashboards and deeper insights.
- Junior Data Scientist – applying predictive models and machine‑learning techniques.
- Business Intelligence Engineer – designing end‑to‑end data pipelines.
- Product Analyst – shaping product strategy through data‑driven recommendations.
Our mentorship program pairs you with senior data professionals who will guide you through technical challenges, career planning, and networking within talentedge’s global community.
Work Environment & Culture
talentedge prides itself on an inclusive, collaborative culture where every voice matters. Our remote‑first policy means you can work from anywhere in the United States, while still feeling connected through regular virtual coffee chats, team‑wide town halls, and quarterly in‑person meet‑ups (travel expenses covered). We champion diversity, equity, and inclusion, offering employee resource groups, accessibility accommodations, and a zero‑tolerance policy for discrimination or harassment.
Application Process
Ready to launch your data career with talentedge? Follow these simple steps:
- Submit your updated résumé and a concise cover letter highlighting your data experience.
- Complete an online assessment that evaluates your SQL and Python fundamentals.
- Participate in a virtual interview with a hiring manager and a senior analyst.
- Receive a formal offer and begin your onboarding journey.
We aim to provide feedback within 10 business days, ensuring a transparent and respectful hiring experience.
Join talentedge Today
If you are a detail‑oriented, curious, and collaborative individual who thrives in a remote setting, we want to hear from you. This role offers a low‑stress entry point with clear pathways to advanced analytics positions, all while contributing to talentedge’s mission of creating healthier, happier lives for millions of people.
Apply now and become part of a purpose‑driven organization that invests in your growth, celebrates your successes, and empowers you to make data‑backed decisions that shape the future of health and retail.
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