Quantum Analytics Advisor: Data Insights for Strategy

IBM Computing; Town of Yorktown (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

IBM Quantum is seeking an Advisory Data Scientist to design and scale analytical solutions that turn multi-source data into actionable insights for client teams and leadership. You will bridge data science, analytics, and data engineering to enable high-quality decision-making and democratize trusted data.

Your role includes building scalable data models, developing metrics, and operational analytics pipelines, while partnering with product, hardware, software, and client-facing teams to drive

Qualifications

• 3+ years of experience in data science, analytics, or analytics engineering roles, with a focus on deriving insights from complex datasets.
• Demonstrated proficiency in SQL (e.g. PostgreSQL, Presto/Trino) for data analysis, transformation, and metric development.
• Hands-on experience with Python for data analysis and statistical modeling (e.g. pandas, NumPy, SciPy).
• Proven experience designing and implementing analytical data models (e.g. dimensional models, semantic layers, curated datasets).
• Experience developing and maintaining production-grade analytical pipelines and workflows (e.g. using Airflow or similar orchestration tools).
• Strong experience with data visualization and BI tools (e.g. Superset, Cognos Analytics, Tableau), including building dashboards for business and technical stakeholders.
• Demonstrated ability to define, standardize, and operationalize business and operational metrics across teams.
• Familiarity with analytics engineering best practices, including data testing, documentation, version control (Git), and modular development.
• Experience applying statistical methods such as hypothesis testing, trend analysis, and exploratory data analysis (EDA) to inform decision-making.
• Experience working with heterogeneous datasets.
• Strong problem-solving and communication skills, with the ability to translate complex data findings into actionable insights for cross-functional stakeholders.

Responsibilities

• Generate Actionable Insights: Analyze complex datasets to uncover trends, patterns, and opportunities that inform business decisions.
• Build Analytical Data Models: Design and implement scalable, reusable data models and semantic layers that support self-service analytics and reporting.
• Develop Metrics & KPIs: Define, standardize, and operationalize key metrics across IBM Quantum.
• Enable Self-Service Analytics: Create curated datasets, dashboards, and tools for stakeholders while maintaining governance.
• Operationalize Analytics Workflows: Develop and maintain analytical pipelines ensuring reliability and scalability of insights.
• Collaborate Cross-Functionally: Partner with product, quantum hardware, software, and client-facing teams to translate requirements into analytical solutions.

Skills

SQL

Python

Data modeling

ETL / data pipelines

Data visualization

Statistical analysis

Communication

Problem solving

Cross-functional collaboration

Tools

Airflow

Tableau

Superset

Cognos Analytics

Git

Job description

IBM Quantum is seeking an Advisory Data Scientist to design and scale analytical solutions that turn multi-source data into actionable insights for client teams and leadership. You will bridge data science, analytics, and data engineering to enable high-quality decision-making and democratize trusted data.

Your role includes building scalable data models, developing metrics, and operational analytics pipelines, while partnering with product, hardware, software, and client-facing teams to drive