Job Requisition ID #
26WD100393
Position Overview
We're hiring a Data Analytics Engineer to join Customer Success Analytics (CS Analytics) within Autodesk Customer Success. This role sits at the intersection of analytics engineering, business intelligence, and insight delivery, where you'll build the Structured Query Language (SQL) models, data pipelines, and dashboards that power retention, expansion, and growth decisions across the business.
You will partner with Data Engineering, Data Science, and business stakeholders to define reliable metrics, maintain production analytics assets, and translate complex data into clear, actionable insights for Customer Success, Support, Finance, and executive audiences.
What you'll do
Develop production-grade Snowflake Structured Query Language (SQL) models, curated datasets, reusable metric logic, and dashboard-ready views using clean, modular engineering practices
Partner with stakeholders to define business metrics, improve analytics capabilities, and support pipeline delivery through dbt, refresh workflows, and orchestration
Design and maintain interactive Microsoft Power BI and Tableau dashboards that deliver clear, actionable business insights and support executive decision-making
Apply business intelligence best practices, including intuitive dashboard design, metric consistency, performance optimization, and stakeholder validation
Conduct rigorous quantitative analysis across customer cohorts, retention, expansion, engagement, renewals, and business impact
Serve as a subject matter expert on data structures, data quality, and metric definitions while translating analytical findings into actionable recommendations
Use Python to support ad hoc analysis, data exploration, validation, automation, and quality control activities
Leverage Artificial Intelligence (AI)-assisted analytics tools such as Cursor, Claude, Snowflake Cortex, and internal conversational agents to accelerate exploration, SQL development, documentation, and insight generation while validating outputs for accuracy, reproducibility, and governance
Work within a Git-based version-controlled environment, following engineering best practices, peer reviews, and collaborative development standards
Communicate insights effectively through dashboards, written reports, presentations, and stakeholder discussions
Requirements
3+ years of relevant experience in a Software as a Service (SaaS) environment
Strong understanding of SaaS business models and key performance indicators, including retention, expansion, Annual Recurring Revenue (ARR), renewals, engagement, Net Promoter Score (NPS), Customer Satisfaction (CSAT), and utilization
Strong Structured Query Language (SQL) skills with hands-on experience using Snowflake or a comparable cloud data warehouse
Proven experience developing and maintaining production-grade analytics assets rather than ad hoc reporting solutions
Strong experience with Microsoft Power BI and/or Tableau, including:
Designing intuitive and interactive dashboards
Developing trusted, reusable business metrics
Translating analytical findings into executive-ready data stories
Experience applying statistical methods and hypothesis-driven analytical approaches
Strong communication and storytelling skills with the ability to influence business decisions using data
Experience working across Customer Success, Support, Finance, Renewals, and Product usage data domains
Nice to have
Experience using Python for analysis, notebooks, automation, or pipeline support
Familiarity with dbt, including models, testing, documentation, and analytics engineering workflows
Experience using Artificial Intelligence (AI) and Large Language Model (LLM) tools for analytics, including Cursor, Claude, Snowflake Cortex, Copilot agents, or AI-assisted SQL, while following responsible AI practices
Experience with workflow orchestration tools such as Apache Airflow or similar scheduling frameworks
Familiarity with Git and collaborative software development practices
The Ideal Candidate
The ideal candidate is an analytical engineer who combines strong technical expertise, business acumen, and a passion for building scalable analytics solutions that enable data-driven decision-making across the organization
Demonstrates strong analytical thinking and applies structured problem-solving approaches to solve complex business challenges
Builds scalable, maintainable, and reusable analytics assets that improve consistency, efficiency, and business decision-making
Uses sound judgment to validate data, metrics, and AI-assisted outputs while maintaining high standards of quality and governance
Translates complex data into clear, actionable insights that influence strategic decisions and business outcomes
Collaborates effectively with Data Engineering, Data Science, Customer Success, Finance, and Product teams to deliver cross-functional solutions
Takes ownership of analytics solutions from development through deployment, validation, and continuous improvement
Continuously improves engineering practices through automation, documentation, peer reviews, and knowledge sharing
Communicates confidently with both technical and business stakeholders, including senior leadership
Demonstrates curiosity, adaptability, and a commitment to learning modern analytics engineering practices and emerging technologies
Contributes to a collaborative, high-performing team culture by sharing knowledge and supporting continuous improvement
#LI-GC3
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.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
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