Data Analyst, Partner Success

Job Requisition ID #

25WD86647

The Partner Success and Services team is seeking a dynamic and skilled individual to provide data analysis that will enable our partners and internal teams to identify key areas of optimization, growth opportunities and mitigation of risk in the business across the customer lifecycle.  This person will report to the Manager, Strategy, Data and Growth and will play a critical role in engaging with Autodesk’s partner team (Partner Managers, Partner Business Consultants and Partner Success Managers) to ensure they have what they need to help partners improve their Autodesk business in an effective, data driven way.   

The role will be responsible for collecting, cleaning, analyzing, and interpreting data from various sources to identify patterns and trends, then presenting their findings through reports and visualizations to inform business decisions and strategies, utilizing tools like SQL and data visualization software (Power BI) to extract meaningful insights from raw data that will help partners optimize their engagement with Customers.  

Responsibilities 

• Data collection: Gathering data from multiple sources including databases, surveys, web analytics, and APIs.  

• Data cleaning and preparation: Identifying and correcting errors, removing duplicates, and formatting data for analysis.  

• Statistical analysis: Conducting actionable, statistically-sound analyses and research to identify significant business trends. 

• Data visualization: Creating intuitive charts, graphs, and dashboards to effectively communicate insights to stakeholders with a focus on high business impact.  

• Report generation: Developing comprehensive reports summarizing key findings and actionable insights.  

• Collaboration: Working with different teams to understand their data needs and develop data-driven stories to translate findings into actionable business strategies.  

 

Skills & Experience You’ll Need to Be Successful 

• Technical skills: Advanced proficiency in SQL, Excel, and data visualization tools (Power BI)  

• Problem-solving skills: Ability to identify issues, analyze data, and propose solutions  

• Communication skills: Effectively presenting complex data insights to both technical and non-technical audiences  

• Critical thinking: Ability to interpret data and draw meaningful conclusions  

• Attention to detail: Ensuring data accuracy and consistency throughout the analysis process  

• Statistical knowledge: Understanding statistical concepts like hypothesis testing, regression analysis, and probability  

 

Minimum Qualifications 

Bachelor's degree (or equivalent certifications) in the fields of statistics, mathematics, computer science, or economics, along with a strong understanding of statistical analysis, advanced data manipulation skills (including SQL), and advanced proficiency in data visualization tools (ideally Power BI). 

 
Preferred Qualifications 

• Proficiency in Python or R 

• Experience in A/B experimentation 

• Experience building predictive and/or forecasting models 

• Experience or strong interest in contributing to data governance and data enablement 

 

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