Job Title: Junior Data Analyst (Alternative: Entry-Level Data Analyst)

Company Name: Datadelves

Location: Vancouver, BC (Hybrid / Remote options available)

Employment Type: Full-Time / Entry-Level Salary Range: $70,000 – $80,000 CAD per year Company Overview

About Datadelves: Datadelves is a fast-growing predictive analytics and data infrastructure firm based in Vancouver. We specialize in turning high-volume, unstructured datasets into robust behavioral models and decision intelligence platforms for institutional clients. We pride ourselves on a culture of rigorous statistical thinking, rapid prototyping, and treating data like an enterprise-grade product. Role Summary

We are looking for an analytical, detail-oriented Junior Data Analyst to join our engineering and analytics team. In this role, you will help bridge the gap between raw data and actionable business insights. You will assist in building automated data pipelines, developing reporting dashboards, and supporting exploratory data analysis and predictive modeling to drive business decisions. Key Responsibilities

Pipeline Development & Data Management: Clean, transform, and structure large-scale datasets using SQL, Python, and modern data tools (such as DuckDB and Parquet) to ensure high data integrity.

Dashboarding & Reporting: Design and maintain interactive, user-friendly business dashboards (using Power BI or web-based tools) to track key performance indicators for non-technical stakeholders.

Statistical Analysis & Modeling:



Support basic regression, classification, and forecasting tasks to evaluate business risks, customer behavior, or operational efficiencies.

Stakeholder Collaboration: Translate business and operational requirements into clear technical specifications and data-driven recommendations.

Qualifications or Requirments

Education: Recently graduated with a degree in Statistics, Data Science, Computer Science, Physics, Mathematics, or a related quantitative field.

Technical

Skills

Proficient in SQL (writing complex queries, CTEs, window functions, and joins). Working knowledge of Python or R for data manipulation and analysis (Pandas, NumPy, Tidyverse).

Experience with visualization tools like Power BI, Tableau, or interactive reporting libraries. Familiarity with version control workflows using Git and GitHub.

Core Competencies: Strong foundation in probability, descriptive/inferential statistics, and a passion for turning messy data into clean, structured insights.

Benefits and Perks

Health & Wellness: Comprehensive extended health, dental, and vision care package.

Career development: Annual learning and certification stipend ($1,000 CAD) for technical courses, cloud certifications, or data conferences.

Time Off: 3 weeks of paid vacation (PTO) plus standard British Columbia statutory holidays.

Equipment & Setup: Modern tech allowance or company-provided hardware (multi-monitor setup, preferred workstation accessories).

📌 Junior Data Analyst (Vancouver)
🏢 Datadelves
📍 Vancouver