Data Analytics Engineer

Overview

Data Analytics Engineer role within Autodesk Customer Success Analytics (CS Analytics), focused on building analytics engineering assets like SQL models, pipelines, and dashboards for customer retention, expansion, and growth decisions.

What you'll do

• Develop production-grade Snowflake SQL models, curated datasets, metric logic, and dashboard-ready views.
• Partner with stakeholders to define metrics and support pipeline delivery using dbt and orchestration workflows.
• Design and maintain interactive Power BI and Tableau dashboards for executive decision-making.
• Apply business intelligence best practices including dashboard design, metric consistency, performance optimization, and validation.
• Conduct quantitative analysis across customer cohorts (retention, expansion, engagement, renewals, and business impact).
• Translate findings into actionable recommendations by serving as an SME for data structures and metric definitions.
• Use Python for ad hoc analysis, exploration, validation, automation, and quality control.

What you'll need

• 3+ years of relevant experience in a SaaS environment.
• Strong understanding of SaaS business models and KPIs including retention, expansion, ARR, renewals, engagement, NPS, CSAT, and utilization.
• Hands-on SQL skills with Snowflake (or a comparable cloud data warehouse).
• Proven experience building and maintaining production analytics assets (not only ad hoc reporting).
• Strong experience with Microsoft Power BI and/or Tableau, including intuitive dashboard design and executive-ready storytelling.
• Experience applying statistical methods and hypothesis-driven analytical approaches.
• Strong communication and data storytelling skills to influence decisions.

Details

• Location: Bengaluru, India.
• In-person onboarding and/or in-person ID verification may be required.