Job Description

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.

Key Responsibilities Data Collection & Preparation

• 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

Analysis & Reporting

• 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

Business Insights & Support

• 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

Tools & Technologies

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)

Qualifications Education & Experience

• 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)

Skills

• 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

Preferred Assets

(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

What This Role Offers

• 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

Desired Skills and Experience

Required Qualifications: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R. Experience with data visualization tools like Tableau, Power BI, or Looker. Strong understanding of statistical methods and data modelling techniques. Ability to work with large datasets and manage multiple tasks effectively. Strong communication skills with the ability to present complex information clearly.