What Autodesk Has to Offer:
Autodesk makes the software and tools that help people imagine, design, and make a better world. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've experienced what millions of Autodesk customers are doing with their software. Autodesk offers their employees benefits like:
Autodesk makes the software and tools that help people imagine, design, and make a better world. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've experienced what millions of Autodesk customers are doing with their software. Autodesk offers their employees benefits like:
Job details
Job Requisition ID #
Position Overview
We are looking for a curious and impact-driven Customer Success Insights Data Analyst to join the Customer Success Management (CSM) Data & Analytics team at Autodesk.
As Customer Success continues to evolve, data plays a critical role in helping the business understand what is working, where customers are getting stuck, and which engagement strategies drive the greatest impact. The Insights Analyst role focuses on turning data into insight, supporting decision-making, experimentation, and continuous improvement across onboarding and adoption programs.
In this role, you will partner closely with BI Developers, Data Engineers, and business stakeholders to analyze customer behavior, evaluate CS initiatives, and generate insights that inform how CS engages with customers at scale.
This role is ideal for someone who enjoys asking the right questions of data, working through ambiguity, and translating analysis into clear recommendations.
Responsibilities
Analyze customer onboarding, adoption, and engagement data to identify trends, patterns, and opportunities for improvement.
Support experimentation and A/B testing by defining metrics, analyzing outcomes, and helping the business understand what is driving impact.
Partner with BI Developers to inform dashboard requirements and ensure analytical outputs are reflected accurately in reporting.
Work with Data Engineers to validate data quality and ensure analyses are grounded in trusted datasets.
Develop ad-hoc analyses and deep dives to answer business questions from CS leadership and program teams.
Translate analytical findings into clear insights and recommendations for non-technical stakeholders.
Help define and refine adoption, lifecycle, and success metrics as the analytics framework matures.
Document analysis approaches, assumptions, and findings to ensure transparency and repeatability.
Support ongoing measurement of CS initiatives and programs, helping teams iterate and improve over time.
AI & Advanced Analytics Awareness (Key Focus)
This role does not build machine learning models, but plays an important role in interpreting and validating AI-driven insights.
You will:
Analyze and interpret outputs from predictive or advanced analytics models (e.g., risk scores, likelihoods, classifications).
Help assess whether AI-driven signals align with observed customer behavior and business outcomes.
Support experimentation that tests the impact of AI-assisted insights on CS decision-making.
Provide feedback to BI Developers and Data Engineers on how AI outputs should be surfaced and contextualized.
Minimum Qualifications
4–8 years of relevant professional experience in a data analyst, analytics, or business intelligence role.
BA / BS in Analytics, Economics, Statistics, Business, Data Science, or equivalent practical experience.
Strong SQL skills for querying and analyzing data.
Experience working with BI tools (e.g., Power BI) to explore and validate data.
Solid understanding of basic statistical concepts and analytical techniques.
Experience translating analysis into written or visual insights for non-technical audiences.
Experience gathering requirements and working directly with business stakeholders.
Preferred Qualifications
Experience supporting Customer Success, Support, or GTM analytics use cases.
Familiarity with Snowflake or other cloud data platforms.
Exposure to experimentation or A/B testing methodologies.
Basic experience with Python or similar tools for data analysis.
Familiarity with lifecycle, cohort, or behavioral analysis.
Experience working with distributed or remote teams.
The Ideal Candidate
You enjoy exploring data to understand why things are happening, not just what happened.
You’re comfortable working with incomplete or ambiguous problem statements and refining them through analysis.
You like collaborating with engineers, BI developers, and business partners.
You care about making insights actionable, not just accurate.
You’re curious, self-motivated, and eager to learn.
#LI-NB1
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Sales Careers
Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here: https://www.autodesk.com/careers/sales
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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