Data Analyst

Job Description We are looking for a detail-oriented and analytical Data Analyst to join our dynamic data team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights for informed decision-making. This role presents an exciting opportunity for a data-driven professional to contribute to the success of our organization through meaningful data analysis. Responsibilities Data Collection: Collect and compile data from various sources, ensuring accuracy and completeness. Data Cleaning and Preprocessing: Clean and preprocess raw data to prepare it for analysis, addressing missing or inconsistent information. Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and correlations in the data. Statistical Analysis: Apply statistical methods to interpret data, validate hypotheses, and derive meaningful insights. Reporting: Create and maintain regular reports and dashboards to communicate key performance indicators and trends to stakeholders. Data Visualization: Develop visualizations that effectively convey complex data findings in a clear and understandable manner. Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand data needs and contribute to data-driven decision-making. Continuous Improvement: Proactively identify opportunities for process improvement and optimization in data collection, analysis, and reporting. Skills Required Education: Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Relevant certifications in data analysis are a plus. Experience: Minimum of 1-3 years of professional experience in data analysis or a related role. Technical Skills: Proficient in data analysis tools such as Python, R, or SQL. Familiarity with data visualization tools (e.g., Tableau, Power BI). Basic knowledge of statistical analysis and hypothesis testing. Problem-Solving Skills: Strong analytical and problem-solving skills to interpret complex data and derive meaningful insights. Communication: Excellent communication skills to convey data findings to both technical and non-technical stakeholders. Collaboration: Ability to work effectively within a team and across departments to deliver impactful insights. Attention to Detail: Meticulous attention to detail in data analysis, ensuring accuracy and reliability. We have cool benefits support you Competitive Compensation: We offer a competitive salary and benefits package to recognize and reward your expertise and contributions to our data analysis initiatives. Health and Wellness: Comprehensive health and wellness benefits, including medical, dental, and vision coverage. Professional Development: Opportunities for ongoing professional development, including attending data analysis conferences, workshops, and obtaining certifications. Flexible Work Arrangements: We understand the importance of work-life balance and offer flexible work arrangements to support your well-being. Cutting-Edge Projects: Work on projects that challenge and inspire you, allowing you to showcase your data analysis skills and contribute to the success of the organization. Collaborative Environment: Join a collaborative and inclusive work environment where your analytical skills contribute to the success of our data initiatives. Career Growth: A supportive environment that encourages career growth and provides opportunities for advancement within the organization. Innovation: Be part of a team that values innovation, encourages new ideas, and embraces the latest technologies to drive data-driven decision-making. Job Info Job Type: Full Time Experience: 1+ Years Location: Canada Social Share LinkedIn Facebook Twitter

The Data Analyst is responsible for collecting, cleaning, and analyzing data to provide actionable insights for decision-making. Key tasks include creating reports and dashboards to communicate KPIs and trends to stakeholders.

Candidates must have a Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. A minimum of 1-3 years of professional experience in data analysis and proficiency in Python, R, or SQL is required.

• Competitive Salary • Medical Coverage • Dental Coverage • Vision Coverage • Professional Development • Flexible Work Arrangements • Career Growth Opportunities

• Data visualizationPreferred
• Power BIPreferred
• SQLPreferred
• TableauPreferred
• Problem solvingPreferred
• Attention to detailPreferred
• CommunicationPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• R
• SQL
• Tableau
• Power BI
• Statistical Analysis
• Hypothesis Testing
• Data Visualization
• Data Cleaning
• Exploratory Data Analysis
• Problem-Solving
• Communication
• Collaboration
• Attention to Detail

• Data & Analytics
• Technology
• Software

Minimum education

Professional degree

Minimum experience

2+ years

Apply by

Sep 16, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Entry level