Senior HR systems analyst owning ADP Workforce Now, integrations, automation, and People data. Supporting Consensys, a blockchain and Web3 software company serving millions of users.
About the role
- Principal Data Analyst helping Autodesk, a software company for design and manufacturing, turn complex data into product decisions. Building governed analytics, experimentation, visualizations, and AI-assisted workflows.
Responsibilities
- Collaborate with product managers and cross-functional teams to address business problems and opportunities through data analysis
- Derive actionable insights from large and complex datasets
- Define product measurement through north-star metrics, KPI/OKR frameworks, metric trees, instrumentation, guardrails, and launch measurement
- Use AI coding and analysis tools to accelerate SQL/Python development and automate repeatable analytical work
- Prototype lightweight data applications or assistants and create reusable validated workflows
- Create data visualizations using Power BI, Looker, or similar tools
- Build and evolve canonical datasets, semantic models, metric definitions, dashboards, and self-service experiences
- Mine data-driven insights supporting PSET platform outcomes, performance, user engagement, and business impact
- Partner with Data Engineering on data quality, lineage, observability, and scalable pipelines
- Apply version control, testing, code review, and reproducible development practices
- Communicate complex findings as concise decisions and trade-offs
- Mentor analysts and cross-functional partners on problem framing, experimentation, AI-assisted analytics, and data storytelling
Requirements
- 8+ years of experience in large data analysis, business intelligence, or a related field
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline
- Demonstrated principal/staff level scope
- Hands-on experience using AI-assisted development and analysis tools such as Claude Code and Cursor
- Strong SQL skills
- Proficiency in Python or R for data analysis and modeling
- Experience with data warehouse ELT tools such as Airflow, dbt, and Snowflake
- Experience with semantic layers, governed metric definitions, and BI/visualization tools such as Looker or Power BI
- Proven analytical and problem-solving abilities
- Knowledge of statistical techniques and modeling methodologies
- Ability to communicate complex data insights to technical and non-technical stakeholders
- Ability to work across functions and support strategic initiatives
Benefits
- Annual cash bonuses may be included
- Stock grants may be included
- Comprehensive benefits package
- In-person onboarding and/or in-person ID verification may be required
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