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Artificial Intelligence, Software Development, Data Science

Junior Data Analyst

New York, New York, United StatesOnsitePart TimeJunior / Entry-levelPosted 2 months agoVisa sponsorship available

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Role summary

This Junior Data Analyst role focuses on supporting data-driven decision-making through structured data analysis, reporting, and data management. The analyst will assist in collecting, cleaning, and validating data from various sources, preparing datasets for analysis, and performing basic analytical tasks to identify trends and insights. Key responsibilities include maintaining reports and dashboards, supporting KPI tracking, and assisting with ad-hoc analysis requests. The role requires strong analytical skills, attention to detail, proficiency in tools like Excel or Google Sheets, and effective communication to present findings clearly to stakeholders. Educational background in a related field is preferred.

Role Description

This role is for a Junior Data Analyst responsible for supporting data-driven decision-making through structured data analysis, reporting, and data management activities. In this position, you will assist in transforming raw data into meaningful insights that help teams understand performance, trends, and opportunities for improvement.

The Junior Data Analyst will support the collection, organization, and validation of data from multiple sources. You will work with structured datasets to ensure information is accurate, consistent, and properly maintained. By following defined analytical processes and data standards, you will contribute to reliable and high-quality data outputs.

Key responsibilities include assisting with data cleaning, preparing datasets for analysis, and performing basic analytical tasks to identify patterns and trends. You will help maintain dashboards, reports, and data summaries that support performance tracking, monitoring, and internal reporting needs.

You will collaborate with team members and cross-functional stakeholders to understand data requirements and respond to reporting or analysis requests. This includes supporting ad-hoc analysis, documenting data definitions, and assisting with data quality checks to ensure analytical results align with business needs.

The Junior Data Analyst role requires strong attention to detail, analytical curiosity, and a structured approach to problem-solving. You will be expected to manage assigned tasks independently, meet deadlines, and maintain data accuracy while continuing to develop your technical and analytical skills.

Clear communication is an important part of this role. You will help present findings in a clear, logical, and organized manner, enabling stakeholders to interpret data effectively and make informed decisions. This role provides hands-on exposure to analytical tools, workflows, and real-world data applications.

Key Responsibilities

  • Assist in collecting, organizing, and validating data from multiple sources
  • Support data cleaning and preparation for analysis
  • Perform basic data analysis to identify trends and insights
  • Maintain and update reports, dashboards, and data summaries
  • Support KPI tracking and performance monitoring activities
  • Assist with ad-hoc analysis and reporting requests
  • Document data sources, metrics, and analytical processes
  • Perform data quality checks and identify inconsistencies
  • Collaborate with team members to support analytical initiatives
  • Follow data governance and accuracy standards

Qualifications

  • Strong analytical and logical thinking skills
  • Ability to work with data, numbers, and structured information
  • Proficiency in Excel, Google Sheets, or basic data analysis tools
  • Familiarity with charts, tables, and basic data visualization concepts
  • Strong attention to detail and commitment to accuracy
  • Willingness to learn new tools, methods, and analytical techniques
  • Effective written and verbal communication skills
  • Ability to manage tasks independently and meet deadlines
  • Comfort working with datasets and structured processes
  • Educational background in Data Analytics, Statistics, Economics, Business, Computer Science, or a related field is preferred
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