This is a remote position.

We are seeking a detail-oriented, curious, and motivated Junior Data Analyst to support analytical projects, reporting, and data-driven decision-making. This role is ideal for someone early in their analytics career who enjoys transforming raw information into insights that guide operations, strategy, and customer outcomes.

• Gather, clean, and organize structured and unstructured datasets from multiple internal and external sources
  

• Perform data validation to ensure accuracy, completeness, and reliability
  

• Maintain data documentation, data dictionaries, and quality-control processes
  
  

• Conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies
  

• Build dashboards, weekly/monthly reports, and performance summaries for internal teams
  

• Assist senior analysts with deeper statistical analysis and forecasting projects
  
  

• Translate analytical findings into clear insights to support decision-making
  

• Monitor KPIs and operational metrics; flag variances and trends
  

• Support different departments (operations, marketing, product, finance, etc.) with data queries
  
  

Experience with or willingness to learn:

• Excel / Google Sheets (advanced functions, pivot tables)
  

• SQL for querying databases
  

• BI tools (Power BI, Tableau, Looker, or similar)
  

• Python or R (optional but an asset)
  

• Diploma or bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, Economics, or related field
  

• 0–2 years of experience in data analysis, reporting, or business intelligence (internships count)
  
  

• Strong analytical and problem-solving abilities
  

• Ability to manage large datasets with attention to accuracy
  

• Clear communication skills—able to explain data in simple language
  

• Curiosity, willingness to learn, and comfort with fast-paced environments
  

(Not mandatory but beneficial)

• Experience with automation tools or CRM systems
  

• Familiarity with APIs, cloud data platforms, or ETL concepts
  

• Interest in predictive modeling or machine learning fundamentals
  

• Hands-on mentorship and growth in analytics
  

• Opportunities to work on meaningful real-world datasets
  

• A supportive environment that encourages learning and experimentation
  

• Clear pathways for advancement into Data Analyst, BI Analyst, or Data Scientist roles