Junior Data Analyst

PeerSpot, is the Authority on Enterprise technology. As the world’s fastest-growing review platform designed exclusively for enterprise technology, with over 500,000 registered members, PeerSpot enables 97 of the Fortune 100 companies in making technology buying decisions. Technology vendors understand the importance of peer reviews and encourage their customers to be part of our community. PeerSpot helps vendors capture and leverage the authentic product feedback in the most comprehensive way to help buyers when conducting research or making purchase decisions, as well as helping vendors use their voice of customer insights in other educational ways throughout their business.

We are seeking a Junior Data Analyst. You will be responsible for supporting the data analytics team in collecting, analyzing, and interpreting data to help drive informed business decisions. This role requires a basic understanding of SQL and Business Intelligence (BI) tools. Familiarity with Python is a plus but not required.

What You'll Do

• Perform data cleaning and preprocessing to ensure data quality and accuracy
• Use SQL to query and extract data from databases
• Generate reports and dashboards using BI tools (e.g., Tableau, Power BI)
• Collaborate with senior analysts and other team members to analyze data and provide actionable insights
• Assist in the development and maintenance of data documentation and processes
• Participate in team meetings and contribute to improving data analysis practices.
• Assist in collecting and organizing data from various sources
  
  

• Basic knowledge of SQL for querying databases
• Familiarity with Business Intelligence (BI) tools such as Tableau or Power BI
• Strong analytical and problem-solving skills
• Excellent attention to detail and a commitment to data accuracy
• Good communication skills and the ability to work collaboratively in a team environment
• Familiarity with Python is an advantage but optional
• You don't need prior work experience, but relevant coursework or projects will be considered a plus.
  
  

• This is an hourly position.
• Hybrid model: 2 days a week in-office and 1 day working from home
• Flexible part-time hours to accommodate your schedule
  
  

• Opportunity to gain hands-on experience and grow your career in data analytics
• Supportive and collaborative team environment
• Potential for future full-time opportunities based on performance and company needs