Challenging Opportunities For You To Learn And Grow Professionally Jobs in Chicago, IL

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the Chicago, IL area.

Data Quality Analyst

Company: Press Ganey

Location: Chicago, IL

Posted Feb 02, 2025

PG Forsta is a leading experience measurement data analytics and insights provider, serving clients globally across various industries. The company emphasizes the importance of Human Experience and has a mission to empower organizations to deliver the best experiences. The Analytics Data Quality Analyst role is critical for maintaining data integrity, enforcing data quality standards, and ensuring compliance with regulatory requirements. The ideal candidate should have 5+ years of experience in data quality management, strong knowledge of healthcare data structures, and proficiency in SQL and data quality tools.

Data Visualization Designer

Company: Press Ganey

Location: Chicago, IL

Posted Feb 02, 2025

PG Forsta is a leading experience measurement data analytics and insights provider, serving clients globally across various industries. The company empowers organizations to deliver the best experiences by turning data into insights that drive innovation and action. Their mission is to put Human Experience at the heart of organizations. The Data Visualization Designer role involves designing and enforcing common standards for data infographics and visualizations, collaborating with analysts and data scientists, and maintaining a data visualization style guide. The ideal candidate should have a Bachelor's degree in Data Visualization, Graphic Design, Data Science, Journalism, or a related field, with at least 3+ years of experience in data visualization, information design, or data journalism. They should be proficient in data visualization tools such as Tableau, Power BI, and D3.js, and have excellent communication skills.

Technical Lead - Sr. Level

Company: Ccube

Location: Chicago, IL

Posted Feb 02, 2025

The job posting is for a Chicago-based Hybrid role requiring at least 12 years of experience. Mandatory skills include proficiency in Python and React, with a focus on Salesforce projects. The role also requires good communication skills and wealth management experience. Other skills include technical role experience, process development, IT design understanding, Agile development process expertise, and project management skills.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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