Business Intelligence Analyst

Autodesk•Toronto, ON

4d•CA$80,000 - CA$117,700•Hybrid

About The Position

The AOS Growth Analytics team is hiring a Data & Business Analyst to support operational analysis and reporting across Autodesk Operation Solutions go-to-market functions. This role sits at the intersection of business operations, data analysis, BI reporting, and analytics enablement. You will help AOS teams understand performance, build reports and monitor key metrics, improve recurring business cadences, and turn data into practical actions. The role is hands-on. You will write SQL, build and maintain dashboards, build data models, document metric definitions, and help stakeholders use analytics more effectively. This is a strong fit for someone with 2-5 years of analytics experience who enjoys working close to the business, is comfortable with ambiguity, and has built dashboards, reporting processes, analytical workflows, or operational tools from scratch. The ideal candidate is not just a dashboard builder and not just a business generalist. They can understand the business context, investigate the data, explain what is happening, and help teams act on the insight. What Makes This Role Interesting: This role is operational, hands-on, and close to the business. You will help build the analytics muscle for AOS Growth Analytics: the dashboards people rely on, the metrics they use in recurring reviews, the reporting processes that reduce manual work, and the analytical explanations that help teams understand what is changing and why. You will also have room to build from scratch. Some problems will not come with clean requirements, perfect data, or an existing dashboard. You will need to ask good questions, create structure, prototype solutions, and improve them with stakeholder feedback.

Requirements

2-5 years of experience in data analysis, business analysis, business intelligence, GTM analytics, operations analytics, revenue operations, sales operations, customer success operations, or a related analytics role
Bachelor degree in Business Analytics, Statistics, Engineering, CS, DS, or a related field; or equivalent practical experience
Strong AI analytics skills, including analytics agent deployment and orchestration, & assisted coding for analytics purposes, to improve analysis, reporting, insight generation, workflow automation, or business communication
Strong SQL skills and experience working with data warehouses such as Snowflake or similar platforms
Experience building dashboards and reports in Power BI or similar BI tools
Working knowledge of data modeling concepts; experience with dbt or similar modeling tools is a plus
Ability to gather business requirements, clarify ambiguous asks, and translate them into dashboards, metrics, analyses, or operational reporting
Strong analytical problem-solving skills, including the ability to investigate root causes, validate data, and explain metric movement
Strong communication skills with technical and non-technical stakeholders
Comfort working in an operational environment with evolving priorities, imperfect data, and recurring reporting needs
Demonstrated experience building something from scratch, such as a dashboard, reporting workflow, metric framework, analysis package, process improvement, or internal tool

Nice To Haves

Experience supporting GTM, sales, customer success, marketing, revenue operations, product operations, business operations, or SaaS analytics
Experience with Snowflake, dbt, Power BI, Scripting Languages or similar modern analytics tools
Experience creating metric documentation, dashboard guides, stakeholder enablement materials, or self-service analytics resources
Understanding of SaaS or subscription business concepts such as pipeline, adoption, usage, retention, conversion, expansion, productivity, or customer lifecycle metrics
Ability to balance speed and accuracy: moving quickly while still checking assumptions, validating data, and documenting limitations

Responsibilities

Support AOS Growth Analytics by building, maintaining, and improving operational dashboards, recurring reports, and business review materials
Partner with AOS go-to-market stakeholders to understand business questions, clarify requirements, define metrics, and translate needs into practical analytics deliverables
Use AI tools responsibly to improve analytics workflows, such as summarizing trends, drafting first-pass business narratives, accelerating exploratory analysis, identifying anomalies, and automating repetitive reporting tasks
Use SQL, primarily in Snowflake or similar cloud data platforms, to extract, validate, join, and analyze data from multiple sources
Build and maintain dashboards that help stakeholders monitor performance, identify trends, and understand operational drivers
Partner with data engineering or analytics engineering teams on data modeling needs, including dbt or similar modeling workflows, while not being expected to fully own production data pipelines.
Create clean, repeatable analysis for recurring business cadences, including weekly/monthly performance reviews, operational health checks, and leadership readouts
Investigate metric movement, anomalies, data quality issues, and business process gaps; summarize findings clearly and recommend next steps
Help define and document metric logic, data sources, dashboard usage, and known limitations so stakeholders have a trusted source of truth
Work across multiple AOS-adjacent functions while staying primarily focused on AOS Growth Analytics priorities