Senior Business Data Analyst - Asset Management Software

Role overview

Responsibilities

• Partner with stakeholders to define business problems, outcomes, success criteria, and analytics requirements; resolve ambiguity and lead discovery and validation.
• Analyze complex datasets, identify trends and anomalies, assess data quality, and translate findings into business recommendations.
• Develop dashboards, visualizations, reusable data products, shared metrics, and analytics solutions for commercial use cases.
• Create or adapt analytical models and transformations; investigate data issues and coordinate with Data Engineering on pipelines and shared models.
• Own use cases through delivery and adoption, coordinate specialist contributions, and manage dependencies, risks, and data constraints.
• Apply data standards, governance, documentation, security, privacy, and responsible data-use practices; share knowledge and enable self-service.

Required qualifications

• 7+ years of experience in data analytics, business intelligence, analytics engineering, or a related field, or equivalent demonstrated experience.
• Demonstrated business stakeholder partnership, requirements translation, data mining, analysis, and business-focused recommendations.
• Advanced SQL, including complex joins, common table expressions, window functions, and analytical transformations.
• Strong analytical and data modeling capabilities, including relational data, transformations, data quality, validation, and complex datasets.
• Experience developing dashboards or analytical applications in Power BI, Qlik, or comparable BI platforms.
• Hands-on Salesforce or other CRM data experience, and experience with a modern cloud data platform such as Snowflake, Databricks, Azure, or AWS.
• Ability to independently investigate problems and deliver analytical solutions with limited supervision; strong communication and collaboration skills.

Additional advantageous experience

• Experience in lean analytics teams and across multiple stages of the analytics lifecycle is advantageous.
• Marketing analytics or other commercial functions, Snowflake and dbt, Python, go-to-market systems, and SaaS or recurring-revenue business models are advantageous.
• Dimensional and semantic modeling, data pipelines, machine learning, predictive analytics, AI use cases, governance, prompt engineering, or experimentation experience is advantageous.

Workplace and collaboration

• Remote role; candidates near the Eastern Time Zone are preferred for collaboration with colleagues in North America and Europe.
• Candidates must be able to sustainably accommodate working hours needed for cross-time-zone collaboration.

Benefits

• Flexible work environment, flex hours, telecommuting, and digital workspaces.
• Competitive total rewards, profit sharing, vacation options, employee perks, and career development opportunities.

Compensation

• Salary is commensurate with experience and ranges from CAD 100,000 to CAD 140,000, excluding benefits.

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