Data Analyst - Helic & Co

Bilinguallink; Kelowna; On-site; CAD 60,000 - 85,000; Full time

Job summary

Bilinguallink is seeking a detail-oriented Data Analyst to collect, organize, analyze, and interpret data to support informed business decisions. The role focuses on transforming complex datasets into clear insights, reports, dashboards, and actionable recommendations while maintaining data accuracy.

You will work with cross-functional teams to deliver accurate reporting, develop scalable dashboards, and ensure data integrity across sources.

Qualifications

• Bachelor’s degree in a related field.
• Strong analytical and problem-solving abilities.
• Good understanding of data analysis principles and reporting processes.
• Proficiency in Excel or similar tools.
• Working knowledge of SQL for querying and managing data.
• Ability to interpret data accurately and communicate findings.

Responsibilities

• Collect, clean, organize, and validate data from multiple sources.
• Analyze datasets to identify trends, patterns, opportunities, and issues.
• Prepare reports, dashboards, and visualizations for stakeholders.
• Translate business questions into data analysis and insights.
• Monitor data quality and investigate discrepancies.
• Maintain recurring reports and performance metrics.
• Collaborate with teams to understand reporting requirements.
• Present findings clearly to technical and non-technical stakeholders.
• Maintain documentation of data sources, processes, definitions, and reports.
• Support continuous improvement of data collection and reporting processes.

Skills

Analytical thinking

Problem-solving

Excel proficiency

SQL querying

Data interpretation

Communication skills

Attention to detail

Education

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Administration, Economics, or related field

Tools

Power BI

Tableau

Python

R

Job description

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to collect, organize, analyze, and interpret data to support informed business decisions. The successful candidate will transform complex datasets into clear insights, reports, dashboards, and actionable recommendations while maintaining data accuracy and integrity.

Key Responsibilities

• Collect, clean, organize, and validate data from multiple sources.
• Analyze datasets to identify trends, patterns, opportunities, and potential issues.
• Prepare accurate reports, dashboards, and data visualizations for stakeholders.
• Translate business questions into meaningful data analysis and actionable insights.
• Monitor data quality and investigate discrepancies or inconsistencies.
• Develop and maintain recurring reports and performance metrics.
• Collaborate with relevant teams to understand reporting and analytical requirements.
• Present findings clearly to both technical and non-technical stakeholders.
• Maintain organized documentation of data sources, processes, definitions, and reports.
• Support continuous improvement of data collection, reporting, and analytical processes.

Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Administration, Economics, or a related field.
• Strong analytical and problem-solving abilities.
• Good understanding of data analysis principles and reporting processes.
• Proficiency in Microsoft Excel or similar spreadsheet tools.
• Working knowledge of SQL for querying and managing data.
• Ability to interpret data accurately and communicate findings effectively.
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.

Preferred Skills

• Experience with data visualization and dashboarding tools such as Power BI or Tableau.
• Knowledge of Python or R for data analysis and automation.
• Understanding of data cleaning, transformation, and validation techniques.
• Ability to create clear, user-friendly dashboards and reports.
• Strong organizational and time-management skills.
• Ability to work independently while collaborating effectively with a team.
• Curiosity and a continuous-improvement mindset.
• Ability to explain technical findings in simple, business-friendly language.