Senior Business Data Analyst - Asset Management Software

Position overview

Business partnership and analysis

• Understand stakeholder problems, desired outcomes, success criteria, and value; translate needs into clear analytics requirements.
• Resolve ambiguous requirements, break problems into use cases, understand business domains and metrics, and lead discovery, demonstrations, validation, and sign-off.
• Extract, combine, analyze, and validate complex datasets; identify trends, anomalies, and actionable insights and recommend actions.
• Assess data quality and use generative AI tools to accelerate analytics development and share effective practices.

Analytics products and technical delivery

• Develop dashboards, visualizations, analytical products, reusable data products, shared metrics, and standardized solutions.
• Support customer segmentation, marketing effectiveness, revenue, retention, and predictive analytics use cases.
• Create or adapt analytical models and transformations using platforms such as Snowflake and tools such as dbt.
• Investigate data issues and work with Data Engineering on production pipelines and shared models.

Solution ownership and governance

• Own assigned use cases from initial business problem through delivery, validation, and adoption; coordinate specialists and manage dependencies and risks.
• Apply data standards, governance, documentation, security, privacy, and responsible-use requirements; resolve quality risks and support metric traceability.
• Share knowledge through office hours, training, self-service reporting, and metric deep dives; document definitions, sources, logic, lineage, and designs.
• Collaborate with global colleagues in North America and Europe during core hours aligned to Eastern Time business operations.

Required qualifications

• 7+ years in data analytics, business intelligence, analytics engineering, or a related field, or equivalent demonstrated experience.
• Experience translating business problems into analytical requirements and pragmatic solutions, and using analysis to recommend actions that shape decisions.
• Advanced SQL, including complex joins, common table expressions, window functions, and analytical transformations.
• Strong analytical and data-modeling skills, including relational data, transformations, data quality, validation, and complex datasets.
• Experience with Power BI, Qlik, or comparable BI tools; Salesforce or other CRM data; and a modern cloud data platform such as Snowflake, Databricks, Azure, or AWS.
• Ability to investigate independently, deliver with limited supervision, communicate and collaborate, and navigate ambiguity.

Preferred experience

• Marketing analytics or experience supporting Sales, Customer Success, Revenue Operations, or Commercial Finance is beneficial.
• Snowflake and dbt, Python, go-to-market systems, dimensional or semantic modeling, and data-pipeline experience are beneficial.
• Machine learning, predictive analytics, segmentation, AI-enabled analytics, governance, prompt engineering, experimentation, or SaaS business experience is beneficial.

Work arrangement

• This is a remote role; candidates near the Eastern Time Zone are preferred for collaboration with global colleagues.
• Candidates must be able to accommodate the working hours needed for collaboration across time zones.

Compensation

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

Benefits

• Benefits include flexible work, career development and mentorship, vacation options, profit sharing, social-impact initiatives, events, employee discounts, and an inclusive workplace.