Senior Data Analyst, Product Analytics
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Key skills for this role
About the Role
Autodesk is seeking a Senior Data Analyst for Product Analytics to partner with product managers and engineering teams. You will analyze product telemetry, define KPIs, build dashboards, and drive data-informed decisions.
Key Skills for This Role
Responsibilities
- Partner with Product Managers and Engineering teams throughout the product lifecycle to define success metrics and measurement strategies before features launch
- Analyze product telemetry, clickstream, and user behavior data to identify opportunities that improve customer engagement, adoption, and retention
- Design, maintain, and evolve scalable product KPIs and data models that provide consistent measurement across products
- Build self service dashboards, reports, and visualizations that enable teams to independently explore product performance while maintaining trusted business definitions
- Conduct deep dive analyses to understand product usage, customer journeys, and feature performance, translating findings into actionable recommendations
- Develop hypotheses, evaluate product changes, and support experimentation and A/B testing where applicable
- Partner with Data Engineering to improve event instrumentation, data quality, and analytics infrastructure
- Communicate analytical findings to executive and cross functional audiences through clear storytelling and data visualization
- Improve analytics documentation, metric definitions, and best practices to promote consistency and scalability across teams
Requirements
- 5+ years of experience in Product Analytics, Data Analytics, or Business Analytics, including experience influencing product or business decisions through data
- Demonstrated experience presenting analytical findings and recommendations to senior leadership and executive audiences
- Expertise in SQL and working with modern cloud data warehouse environments
- Advanced experience building dashboards and visualizations using Power BI (required); experience with Tableau or Looker is a plus
- Experience analyzing event based product telemetry, clickstream, or user behavior datasets
- Strong understanding of analytical methods, hypothesis driven problem solving, and translating ambiguous business questions into measurable analyses
- Experience working with modern analytics engineering and data pipeline technologies (DBT, Airflow, GitHub, or similar)
- Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Economics, Engineering, or equivalent practical experience)
Full Job Posting
Position Overview
- Data is central to how we understand customer behavior, measure product success, and build better experiences for our customers.
- Autodesk is seeking a Senior Data Analyst Product Analytics to join the Product Development & Manufacturing Solutions organization.
- In this role, you'll partner closely with Product Managers, Engineering, Design, Finance, Sales, and Marketing to transform product data into actionable insights that influence product strategy and business outcomes.
- As a trusted analytics partner, you will help answer critical questions about feature adoption, customer engagement, retention, and product health.
- You'll define meaningful success metrics, develop scalable measurement frameworks, and uncover opportunities to improve the customer experience through data.
- We're looking for someone who thrives in ambiguity, is naturally curious, and enjoys asking difficult questions that lead to better decisions.
- You combine strong analytical thinking with business acumen and exceptional communication skills to translate complex analyses into compelling stories that drive action.
Responsibilities
- Partner with Product Managers and Engineering teams throughout the product lifecycle to define success metrics and measurement strategies before features launch
- Analyze product telemetry, clickstream, and user behavior data to identify opportunities that improve customer engagement, adoption, and retention
- Design, maintain, and evolve scalable product KPIs and data models that provide consistent measurement across products
- Build self service dashboards, reports, and visualizations that enable teams to independently explore product performance while maintaining trusted business definitions
- Conduct deep dive analyses to understand product usage, customer journeys, and feature performance, translating findings into actionable recommendations
- Develop hypotheses, evaluate product changes, and support experimentation and A/B testing where applicable
- Partner with Data Engineering to improve event instrumentation, data quality, and analytics infrastructure
- Communicate analytical findings to executive and cross functional audiences through clear storytelling and data visualization
- Improve analytics documentation, metric definitions, and best practices to promote consistency and scalability across teams
Minimum Qualifications
- 5+ years of experience in Product Analytics, Data Analytics, or Business Analytics, including experience influencing product or business decisions through data
- Demonstrated experience presenting analytical findings and recommendations to senior leadership and executive audiences
- Expertise in SQL and working with modern cloud data warehouse environments
- Advanced experience building dashboards and visualizations using Power BI (required); experience with Tableau or Looker is a plus
- Experience analyzing event based product telemetry, clickstream, or user behavior datasets
- Strong understanding of analytical methods, hypothesis driven problem solving, and translating ambiguous business questions into measurable analyses
- Experience working with modern analytics engineering and data pipeline technologies (DBT, Airflow, GitHub, or similar)
- Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Economics, Engineering, or equivalent practical experience)
Preferred Qualifications
- Experience with experimentation frameworks, A/B testing, or product measurement methodologies
- Experience using Python (pandas, Jupyter, NumPy, or similar) for exploratory analysis and automation
- Familiarity with product analytics platforms such as Amplitude, Mixpanel, Pendo, or similar tools
- Experience integrating product analytics with Sales and Marketing data sources (Salesforce, Marketo, etc.)
- Experience working within SaaS or cloud software organizations
Salary transparency
- For Canada based roles, we expect a starting base salary between CAD 107,000 and CAD 156,200.
- Offers are based on the candidate’s experience and geographic location, and may exceed this range.
- In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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