Junior Data Analyst
Codevista Solution
Job Overview
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Job Description
Junior Data Analyst at Codevista Solution
Dive into the world of data at Codevista Solution as a Junior Data Analyst in a fully remote position! You'll support our team by collecting, cleaning, and analyzing data to drive insights for business decisions. Enjoy the flexibility of working from anywhere in Canada, with tools like SQL, Excel, and Python. Ideal for entry-level candidates passionate about data and eager to learn in a collaborative remote environment. Join us to kickstart your career with flexible hours and growth opportunities.
As a Junior Data Analyst at Codevista Solution, you'll play a vital role in our remote-first team, helping to transform raw data into actionable insights that fuel our innovative projects. This entry-level position is perfect for recent graduates or early-career professionals looking to build a foundation in data analysis while enjoying the freedom of remote work.
Key Responsibilities
- Gather and organize data from various sources, ensuring accuracy and completeness.
- Perform basic data cleaning and preprocessing tasks using tools like Microsoft Excel and Google Sheets.
- Assist in creating simple visualizations and reports using Tableau or Power BI.
- Collaborate on entry-level projects involving descriptive analytics for business strategies.
- Write basic SQL queries to extract data from relational databases, with opportunities for Python scripting.
- Participate in virtual meetings via Zoom or Microsoft Teams, sharing updates and receiving feedback.
- Contribute to discussions on data ethics, privacy compliance (GDPR, PIPEDA), and basic statistical methods.
Working at Codevista Solution
Codevista Solution embraces a remote work model that prioritizes work-life balance and productivity. Our team uses asynchronous communication tools like Slack for daily interactions, allowing you to manage your schedule flexibly—whether you're based in Toronto, Vancouver, or anywhere else in Canada. We provide access to cloud-based platforms like Google Workspace and Jira for task tracking, ensuring seamless collaboration across time zones. As an entry-level hire, you'll receive mentorship through one-on-one video calls and access to online learning resources to develop your skills quickly.
What You'll Gain
This position offers exposure to real-world data challenges in a dynamic tech environment, without the pressure of advanced expertise. You'll contribute to cross-functional teams, building a portfolio that showcases your remote collaboration skills and analytical mindset. At Codevista Solution, we value diversity and inclusion in our remote workforce, fostering a culture where every voice matters. This role is an excellent stepping stone to mid-level positions, with opportunities for professional development through webinars, certifications, and performance-based advancement.
Requirements
- Bachelor's degree in Computer Science, Statistics, Business Analytics, or equivalent experience.
- Basic proficiency in Microsoft Excel or Google Sheets for data manipulation.
- Foundational knowledge of SQL for querying databases; willingness to learn advanced queries.
- Familiarity with data visualization tools like Tableau or Power BI is a plus but not required.
- Strong self-motivation and time management skills for independent remote work.
- Excellent communication abilities for virtual collaboration using tools like Slack and Zoom.
- Eagerness to learn and adapt in a fast-paced, entry-level environment.
- Ability to work effectively across Canadian time zones.
Key skills/competency
- Data Analysis
- SQL Querying
- Microsoft Excel
- Python Scripting
- Data Visualization
- Data Cleaning
- Remote Collaboration
- Time Management
- Communication Skills
- Problem-Solving
How to Get Hired at Codevista Solution
- Research Codevista Solution's culture: Study their remote-first mission, values, recent projects, and employee insights on platforms like LinkedIn.
- Tailor your resume for data roles: Highlight any SQL, Excel, and Python skills, along with experience in remote work or self-managed projects.
- Showcase data projects: Include a portfolio or academic examples of data cleaning, analysis, or basic visualization to demonstrate practical skills.
- Prepare for technical assessments: Practice basic SQL queries, Excel data manipulation tasks, and discuss introductory Python concepts.
- Emphasize remote collaboration: During interviews, demonstrate strong communication, time management, and proactive self-motivation for virtual team environments.
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