Online Data Analyst Junior for 17 Year Old Teens – Python focus

🏢 Adobe Inc.📍 San Jose, CA, United States💼 Full-Time💻 Remote🏭 Technology💰 45000-60000 per year

About the Company

Adobe Inc. is a global leader in digital media and digital marketing solutions. Our creative, marketing, and document solutions empower everyone—from emerging artists to global brands—to create, manage, deliver, and optimize content and experiences. We are committed to fostering diverse talent and innovative thinking, providing a dynamic environment where young minds can thrive and contribute to groundbreaking projects.

Job Description

We are seeking an enthusiastic and curious Online Data Analyst Junior to join our team, specifically tailored for talented 17-year-old teens with a passion for data and Python. This is a unique opportunity to gain hands-on experience in a leading technology company, working with real-world data to uncover insights and support decision-making. You will work closely with senior analysts and engineers, focusing on developing your Python skills for data manipulation, analysis, and visualization. This role is designed to provide a foundational understanding of data analytics within a professional, supportive, and educational environment.

Key Responsibilities

  • Assist in collecting, cleaning, and preprocessing large datasets using Python.
  • Perform basic exploratory data analysis (EDA) to identify trends and patterns.
  • Develop and maintain Python scripts for automated data tasks and reporting.
  • Create visualizations and dashboards to present data insights clearly.
  • Support senior analysts in various data-related projects and ad-hoc requests.
  • Participate in team meetings and contribute to brainstorming sessions.
  • Learn and apply best practices in data privacy and security.
  • Document processes, methodologies, and findings for future reference.

Required Skills

  • Proficiency in Python programming, including familiarity with data structures and basic algorithms.
  • Basic understanding of data analysis concepts.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • High level of curiosity and eagerness to learn.
  • Ability to work independently and manage time effectively.
  • Must be 17 years old at the time of application.

Preferred Qualifications

  • Familiarity with Python libraries such as Pandas, NumPy, and Matplotlib.
  • Experience with version control systems (e.g., Git).
  • Understanding of statistical concepts.
  • Prior experience with data visualization tools (e.g., Tableau, Power BI).
  • Participation in coding clubs, data science competitions, or personal projects.

Perks & Benefits

  • Mentorship from experienced data professionals.
  • Access to Adobe's comprehensive learning resources and platforms.
  • Flexible working hours to accommodate academic schedules.
  • Opportunity to work on impactful projects with real-world applications.
  • Networking opportunities with industry leaders.
  • A supportive and inclusive work environment.
  • Certificate of completion for program participants.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

⚠️ Important Disclaimer

Welcome to Westford Trust. We publish job opportunities aggregated from public sources, employers, and job portals. We never charge any fees to access or use our website; all information is provided entirely for free.

Westford Trust does not directly offer or manage these positions, nor are we directly involved in the hiring process for the vacancies published on https://career.westfordtrust.com.

If you suspect a fraudulent listing or have any questions, please contact us at techturna@gmail.com.

Job Application

×

Login Required

You must be signed in to apply for this job.

Scroll to Top