Senior Data Analyst – Data Analytics
| Company | Autodesk |
|---|---|
| Location | Montreal, QC, Canada, Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- 5+ years of experience in large data analysis, business intelligence, or a related field, preferably within a technology or SaaS environment
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline
- Strong skills in data querying and manipulation with SQL, and proficiency in programming languages like Python or R for data analysis and modeling
- Experience with data warehouse ELT tools (Airflow, dbt, Snowflake)
- Experience with data visualization tools such as Looker, Power BI, or similar, with the ability to create clear, engaging, and impactful dashboards. Familiarity with AWS, Azure or similar cloud platforms
- Proven analytical and problem-solving abilities, with the capability to work independently on complex datasets and derive actionable insights
- Knowledge of statistical techniques and modeling methodologies to drive in-depth data insights and support predictive analytics
- Strong ability to communicate complex data insights and recommendations to technical and non-technical stakeholders in a clear and accessible manner
- Effective team player with a strong ability to work across functions, engage with diverse stakeholders, and provide data-driven support for strategic initiatives
Responsibilities
- Collaborate with product managers and cross-functional teams to identify, define, and address business problems and opportunities through data analysis. Use your analytical skills to derive actionable insights from large and complex datasets
- Monitor and track key performance indicators (KPIs) and objectives and key results (OKRs) across platform initiatives, providing regular updates and insights to key stakeholders and ensuring visibility into data-driven insights that support organizational goals
- Work closely with product, engineering, and business teams to understand their data needs, provide analytical support, and communicate findings in a clear and concise manner to technical and non-technical audiences
- Create clear and impactful data visualizations using tools such as Power BI, Looker, or similar, to communicate findings and recommendations to stakeholders across the organization
- Proactively mine for data drive insights to support PSET’s platform initiatives, focusing on performance, user engagement, and overall business impact
- Develop and implement advanced data models and statistical analyses to forecast trends, predict outcomes, and optimize decision-making processes across platform initiatives
- Ensure data accuracy, consistency, and integrity by following best practices in data collection, cleaning, and analysis, allowing for high-quality insights. Identify and resolve data discrepancies as needed
Preferred Qualifications
- Prior experience working in a SaaS company or a platform engineering organization is preferred
- Familiarity with Autodesk’s product portfolio and its applications in various industries is an advantage
- Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline