Senior data Analyst - Business Intelligence

UAP Inc.

$80K — $95K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Degree in Computer Science, Data Science, Business Analytics, or related field.
  • Minimum five (5) years experience in data analysis or business intelligence within corporate environments.
  • Expertise in Power BI (star schema modeling, advanced DAX, security, deployment).
  • Proficient in SQL and experienced with Google BigQuery.
  • Solid Python skills for advanced analytics and automation.
  • Ability to translate business challenges into structured analytical solutions.
  • Fluency in French and English, both spoken and written. Collaborates with internal clients across Canada.

Responsibilities

  • Act as a strategic partner to identify organizational challenges and establish performance indicators.
  • Translate business needs into comprehensive analytical solutions, including dashboards and advanced analytics.
  • Design, maintain, and optimize Power BI architecture, focusing on performance and security.
  • Optimize data workflows using SQL and Google BigQuery, employing Python for automation.
  • Define business intelligence standards and ensure thorough documentation for quality assurance.
  • Plan and prioritize BI initiatives based on business value and strategic deliverables.

Benefits

  • Promotes a diverse and inclusive community.
  • Commitment to employment equity, encouraging applications from underrepresented groups.
  • Values individual differences and unique talents among its workforce.
Full Job Description
Job Description

We are seeking a Senior Data Analyst, Business Intelligence, to play a key role in advancing our data culture and analytical capabilities.

We are looking for a curious, adaptable, and forward-thinking individual who is comfortable working in a constantly evolving technology environment, including the integration of AI-assisted development practices.

Key Responsibilities
  • Act as a strategic business partner to understand organizational challenges and define performance indicators aligned with business priorities.
  • Translate business needs into comprehensive analytical solutions (semantic models, standardized datasets, dashboards, and advanced analytics) that support decision-making.
  • Design, maintain, and optimize the Power BI architecture (star schema modeling, advanced DAX, security, deployment, and incremental refresh).
  • Optimize data workflows using SQL and Google BigQuery, and leverage Python for advanced analytics and automation.
  • Define business intelligence development standards and ensure proper documentation of solutions to guarantee quality and sustainability.
  • Plan and prioritize business intelligence initiatives based on business value, while ensuring quality, timely delivery, and strategic alignment of deliverables.


Qualifications
  • Degree in Computer Science, Data Science, Business Analytics, or a related field.
  • Minimum of five (5) years of experience in data analysis or business intelligence within a corporate environment.
  • Strong expertise in Power BI (star schema modeling, advanced DAX, security, and deployment).
  • Excellent proficiency in SQL and experience with Google BigQuery.
  • Solid proficiency in Python for advanced analytics and automation.
  • Ability to understand business challenges and translate requirements into structured analytical solutions.
  • Excellent communication skills in both French and English, spoken and written. In this role, you will regularly collaborate with internal clients across Canada.


Additional Information

UAP is a diverse community that promotes inclusion and respect. The sum of our individual differences, experiences, knowledge, self-expression, unique capabilities and talents represents the richness of our culture. UAP is committed to employment equity and encourages applications from women, visible minorities and people with disabilities. By valuing a diverse workforce, we ensure that our hiring practices are fair and equitable.

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