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# Data Analyst

- **Company:** Quanta Services, Inc.
- **Location:** Deerfield, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Database, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Presentation, Executive Information Systems, Rapid Prototyping Process, Power BI, Search Technologies, Software Deployment, SQL Databases, Tableau (Software), Unstructured Data, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Agentic-AI, Git, Data Lakes, Pyspark, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/8e124aa2-4332-4856-94e2-ccb5c5ded676/data-analyst

## About the Role

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., * Master's degree and 4 years of relevant experience; or
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 * Bachelor's degree and 6 years of relevant experience.
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 * Experience in Pharma Marketing & Media Analytics.
\n, 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.
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 * Hands-on experience with Databricks or a comparable platform, including ETL/ELT workflows, Delta Lake, Apache Spark or PySpark, and cloud data architecture.
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 * Analytical data models and executive dashboards built with Power BI, Tableau, or similar tools.
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 * Unstructured data and AI agents using large language models, retrieval-augmented generation, embeddings, vector search, and tool calling.
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 * Prototype-to-production delivery moving data and AI solutions from rapid prototype to secure, scalable, and monitored production deployment.
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 * Cloud and engineering practices familiarity with Azure, AWS, or Google Cloud, as well as Git, automated testing, CI/CD, and data governance practices.
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 * Communication and data storytelling with the ability to work independently, manage ambiguity, and engage executive audiences.
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 * Regulated-industry experience in pharmaceutical, biotechnology, healthcare, or another regulated environment is preferred.
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