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Data Analyst

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Codevista Solution
Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

Embark on your data career with Codevista as a remote Entry-Level Data Analyst. Analyze datasets to support business insights, leveraging tools like SQL, Excel, and Python from anywhere. Enjoy full flexibility in a collaborative remote environment, perfect for recent graduates building foundational skills in data analysis while working on impactful projects.

Full Description

At Codevista, we're seeking an enthusiastic Entry-Level Data Analyst to join our dynamic remote team. This role is ideal for individuals starting their career in data analytics, offering the opportunity to work from the comfort of your home or any location of your choice, without the constraints of a traditional office setting. As a remote position based in New York, New York, USA, you'll contribute to meaningful projects that help our clients make data-driven decisions across various industries.

Your primary responsibilities will include collecting and cleaning data from multiple sources, performing basic statistical analysis, and generating reports to visualize key findings. You'll use tools such as Microsoft Excel for data manipulation, SQL for querying databases, and introductory Python or R scripting for automation and deeper analysis. Entry-level tasks might involve supporting senior analysts by preparing datasets, identifying trends in sales or customer behavior data, and creating simple dashboards using tools like Tableau Public or Google Data Studio.

In this remote role, collaboration is key. You'll communicate daily with team members via Slack for quick updates, Microsoft Teams or Zoom for virtual meetings, and shared platforms like Google Workspace or Asana for project management. We emphasize asynchronous communication to respect different time zones, ensuring everyone can contribute effectively without rigid schedules. Expect regular check-ins, such as weekly stand-ups, to align on goals and provide feedback, fostering a supportive learning environment.

To succeed, you'll need a foundational understanding of data principles. No prior professional experience is required, but familiarity with basic statistics, data visualization, and spreadsheet functions is beneficial. We're looking for someone proactive who can learn on the job, perhaps through online resources like Coursera or free

CodeCamp. The role involves handling structured and unstructured data, ensuring accuracy in entries, and documenting processes clearly for team review.

Codevista values work-life balance in our remote setup. You'll have access to company-provided laptops (shipped to your location) and training sessions on remote best practices, including cybersecurity protocols to protect sensitive data. As you grow, opportunities to shadow advanced projects in machine learning or big data tools like Hadoop will arise, tailored to your pace.

This position encourages curiosity and problem-solving. For example, you might analyze website traffic data to recommend UX improvements or process financial reports to spot anomalies. All work adheres to ethical data handling standards, with training on privacy regulations like GDPR and CCPA.

Join us to build a solid foundation in data analysis while enjoying the freedom of remote work. With Codevista's commitment to employee growth, this entry-level role paves the way for future advancements in our innovative tech environment.

Requirements
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience)
  • Basic proficiency in SQL and Microsoft Excel for data querying and manipulation
  • Foundational knowledge of data analysis concepts and statistics
  • Strong analytical mindset with attention to detail
  • Excellent written and verbal communication skills for remote collaboration
  • Self-motivation, time management, and ability to work independently
  • Willingness to learn new tools and methodologies in a remote setting
  • Reliable access to a stable internet connection and a quiet workspace
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