Quantum Analytics Advisor: Drive Data-Driven Decisions

IBM; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

IBM Quantum is seeking an Advisory Data Scientist in the Data & Analytics Team to design, build, and scale analytical solutions that convert raw data into actionable insights. You will collaborate across product, hardware, software, and client-facing teams to drive data-driven decisions and democratize trusted data.

You will develop metrics, semantic models, and scalable analytics capabilities to quantify customer adoption, product usage, and business outcomes, with an emphasis on reusable data

Qualifications

• 3+ years of data science or analytics engineering experience.
• Proficiency in SQL for data analysis, transformation, and metric development.
• Hands-on Python for data analysis and statistical modeling.
• Experience designing and implementing analytical data models.
• Experience building production-grade data pipelines and workflows.
• Strong BI and data visualization experience for business stakeholders.

Responsibilities

• Design, build, and scale analytical solutions transforming raw data into actionable insights.
• Bridge data science, analytics, and data engineering to enable data-driven decisions.
• Develop scalable data models and semantic layers for self-serve analytics.
• Create curated datasets, dashboards, and tools with governance.
• Operationalize analytics workflows ensuring reliability and reproducibility.
• Collaborate with product, hardware, software, and client-facing teams to translate requirements.

Skills

Data science

SQL

Python

Analytics engineering

Communication

Problem solving

Stakeholder management

Education

Master's Degree

Tools

SQL (PostgreSQL, Presto/Trino)

Python (pandas, NumPy, SciPy)

Airflow

Tableau

Superset

Cognos Analytics

Job description

IBM Quantum is seeking an Advisory Data Scientist in the Data & Analytics Team to design, build, and scale analytical solutions that convert raw data into actionable insights. You will collaborate across product, hardware, software, and client-facing teams to drive data-driven decisions and democratize trusted data.

You will develop metrics, semantic models, and scalable analytics capabilities to quantify customer adoption, product usage, and business outcomes, with an emphasis on reusable data