Data Analyst

Quantzig; Deerfield (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

Quantzig AI Solutions India Private Limited in Deerfield, IL, seeks a Senior Data Science Analyst to shape data pipelines, AI solutions, and analytics for pharmaceutical marketing and media. You will partner with executives to translate questions into scalable data products, prototype AI agents, and deploy production systems with governance and monitoring.

The role demands collaboration across product, analytics, and engineering teams.

Qualifications

• Master's degree or Bachelor's with experience in pharma analytics.
• Experience in Pharma Marketing & Media Analytics.
• Strong data pipeline and ML/AI development skills.

Responsibilities

• Design and maintain scalable data pipelines, datasets, and reporting layers.
• Integrate structured and unstructured data from multiple sources.
• Create trusted data models for dashboards and reviews.
• Collaborate with stakeholders to translate business questions into data and AI solutions.
• Prototype and deploy AI agents using LLMs and retrieval-augmented generation.
• Establish data-quality controls and AI evaluation methods.

Skills

SQL

Python

Databricks

Power BI

Tableau

AI agents

Vector search

Education

Master's degree in a relevant field

Bachelor's degree in a relevant field

Tools

Databricks

Job description

RESPONSIBILITIES INCLUDE

• Design and maintain scalable data pipelines, curated datasets, and reporting layers using SQL, Python, Databricks, APIs, and cloud-based platforms.
• Integrate and process structured and unstructured data from databases, enterprise systems, documents, presentations, collaboration platforms, and external sources.
• Create trusted data models that support executive dashboards, scorecards, and recurring business reviews.
• Partner with business and technical stakeholders to translate business questions into practical data, analytics, and AI solutions.
• Prototype and deploy AI agents using large language models, retrieval-augmented generation, semantic search, and workflow orchestration.
• Establish data-quality controls, AI evaluation methods, monitoring, access controls, and responsible-AI guardrails.
• Apply software engineering best practices, including automated testing, version control, CI/CD, documentation, and production monitoring.
• Communicate technical recommendations and business insights clearly while providing effective documentation and knowledge transfer.

WHAT WE EXPECT OF YOU

The Senior Data Science Analyst we seek is an independent, collaborative, and delivery-oriented technical leader who thrives in ambiguity and engages confidently with executive audiences.

BASIC QUALIFICATIONS

• Master's degree and 4 years of relevant experience; or
• Bachelor's degree and 6 years of relevant experience.
• Experience in Pharma Marketing & Media Analytics.

PREFERRED QUALIFICATIONS

Experience working within a cross-functional digital product team and collaborating with product managers, designers, engineers, data scientists, and business stakeholders to deliver and continuously improve data and AI products.

• Advanced proficiency in SQL and Python for data engineering, automation, analytics, and AI development.
• Hands-on experience with Databricks or a comparable platform, including ETL/ELT workflows, Delta Lake, Apache Spark or PySpark, and cloud data architecture.
• Analytical data models and executive dashboards built with Power BI, Tableau, or similar tools.
• Unstructured data and AI agents using large language models, retrieval-augmented generation, embeddings, vector search, and tool calling.
• Prototype-to-production delivery moving data and AI solutions from rapid prototype to secure, scalable, and monitored production deployment.
• Cloud and engineering practices familiarity with Azure, AWS, or Google Cloud, as well as Git, automated testing, CI/CD, and data governance practices.
• Communication and data storytelling with the ability to work independently, manage ambiguity, and engage executive audiences.
• Regulated-industry experience in pharmaceutical, biotechnology, healthcare, or another regulated environment is preferred.