Customer Insights Data Analyst

Job Requisition ID #

26WD95278

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.
• 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.

• 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.

• 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.

• 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.