Mid Level AI Data Analyst Jobs
Mid level ai data analyst jobs go to analysts ready to own projects end to end, guide junior teammates, and translate complex model outputs into decisions without constant oversight. Roles are concentrated in Education, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, remote, and hybrid settings, and employers like JPMorganChase, Protiviti, and Goldman Sachs hiring at this level now.
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Showing 4 of 7+ Mid Level AI Data Analyst jobs
- Syracuse
- Information Management & Technology
- Full-time
- Opening on: Oct 14 2026
- IMT-Moonshot
- State of New York
- Senior Programmer/Analyst, NSSL4
- 90856
Job Summary:
The Artificial Intelligence Engineer designs, develops, evaluates, and supports artificial intelligence and machine learning solutions across Upstate Academic Medical Center. This position translates clinical, operational, academic, and administrative needs into practical technical solutions, including natural language processing applications, generative AI, and machine learning tools.
The Artificial Intelligence Engineer collaborates with subject matter experts, data teams, cloud and infrastructure teams, and organizational leadership throughout the AI solution lifecycle, from use-case definition and technical feasibility assessment through development, validation, implementation, and monitoring. The position also evaluates externally developed AI technologies for safety and suitability at Upstate.
This role works closely with IMTs AI Governance Lead and other appropriate stakeholders to ensure that AI solutions are transparent, secure, appropriately validated, and implemented in alignment with Upstates mission, vision, values, policies, and applicable laws and regulations.
Minimum Qualifications:
Bachelor's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, information systems, or another technical or data-driven field. 5+ years of relevant experience in artificial intelligence, machine learning, data science, software development, advanced analytics, or a related field. 2+ years programming experience in Python or C/C++/C# required.
Demonstrated experience designing, developing, and evaluating artificial intelligence solutions.
Proficiency in Python or another programming language commonly used for AI, machine learning, data analysis, or software development.
Experience with natural language processing, machine learning techniques, model validation, and performance evaluation.
Experience working with structured and unstructured data using data-processing and analytical libraries or platforms.
Understanding of software-development practices, including source control, code documentation, testing, dependency management, and development across multiple environments.
Ability to investigate technical problems, evaluate alternative approaches, and develop practical solutions involving data, models, applications, and system integrations.
Preferred Qualifications:
Master's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, informatics, or a related field.
Experience with Microsoft Azure suite of AI Tools, Microsoft Fabric, Power Platform, Copilot Studio, Azure DevOps or comparable technologies.
Prior work with healthcare data, including clinical, operational, claims, electronic health record, or healthcare administrative data.
Familiarity with healthcare privacy, security, regulatory, and governance requirements, including appropriate handling of protected health information.
Experience integrating technical solutions into established clinical, operational, academic, or administrative workflows.
Willingness to learn Python programming language if not already proficient.
Work Days:
M - F 8 - 4:30
Message to Applicants:
Applicants must live within a reasonable commuting distance for regular on-campus requirements.
Recruitment Office: Human Resources
We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or disability or other protected classes under State and Federal law.
- Syracuse
- Information Management & Technology
- Full-time
- Opening on: Oct 14 2026
- IMT-Moonshot
- State of New York
- Senior Programmer/Analyst, NSSL4
- 90856
Job Summary:
The Artificial Intelligence Engineer designs, develops, evaluates, and supports artificial intelligence and machine learning solutions across Upstate Academic Medical Center. This position translates clinical, operational, academic, and administrative needs into practical technical solutions, including natural language processing applications, generative AI, and machine learning tools.
The Artificial Intelligence Engineer collaborates with subject matter experts, data teams, cloud and infrastructure teams, and organizational leadership throughout the AI solution lifecycle, from use-case definition and technical feasibility assessment through development, validation, implementation, and monitoring. The position also evaluates externally developed AI technologies for safety and suitability at Upstate.
This role works closely with IMTs AI Governance Lead and other appropriate stakeholders to ensure that AI solutions are transparent, secure, appropriately validated, and implemented in alignment with Upstates mission, vision, values, policies, and applicable laws and regulations.
Minimum Qualifications:
Bachelor's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, information systems, or another technical or data-driven field. 5+ years of relevant experience in artificial intelligence, machine learning, data science, software development, advanced analytics, or a related field. 2+ years programming experience in Python or C/C++/C# required.
Demonstrated experience designing, developing, and evaluating artificial intelligence solutions.
Proficiency in Python or another programming language commonly used for AI, machine learning, data analysis, or software development.
Experience with natural language processing, machine learning techniques, model validation, and performance evaluation.
Experience working with structured and unstructured data using data-processing and analytical libraries or platforms.
Understanding of software-development practices, including source control, code documentation, testing, dependency management, and development across multiple environments.
Ability to investigate technical problems, evaluate alternative approaches, and develop practical solutions involving data, models, applications, and system integrations.
Preferred Qualifications:
Master's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, informatics, or a related field.
Experience with Microsoft Azure suite of AI Tools, Microsoft Fabric, Power Platform, Copilot Studio, Azure DevOps or comparable technologies.
Prior work with healthcare data, including clinical, operational, claims, electronic health record, or healthcare administrative data.
Familiarity with healthcare privacy, security, regulatory, and governance requirements, including appropriate handling of protected health information.
Experience integrating technical solutions into established clinical, operational, academic, or administrative workflows.
Willingness to learn Python programming language if not already proficient.
Work Days:
M - F 8 - 4:30
Message to Applicants:
Applicants must live within a reasonable commuting distance for regular on-campus requirements.
Recruitment Office: Human Resources
We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or disability or other protected classes under State and Federal law.
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Mid Level AI Data Analyst Jobs: Frequently Asked Questions
How do I get a mid level ai data analyst job?
Position your existing work around ownership and impact, not just task completion. Highlight projects where you shaped the analytical approach, delivered findings to stakeholders, or improved a model or pipeline in a measurable way. Applications that show you can operate with limited direction, handle ambiguous problems, and explain AI outputs to non-technical audiences consistently stand out for mid level roles.
Which companies hire mid level ai data analysts?
Companies hiring mid level ai data analysts right now include JPMorganChase, Protiviti, and Goldman Sachs, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including large tech-forward enterprises, data-driven consumer brands, and growth-stage companies scaling their analytics functions.
Are there remote mid level ai data analyst jobs?
Yes, remote and hybrid options are well represented at this level. About 33% of mid level ai data analyst openings are remote or hybrid as of November 2026, reflecting strong employer demand for experienced analysts who can contribute independently without in-office supervision. On-site roles tend to cluster in sectors where data work is closely tied to physical operations or regulated environments.
How do I move up to a mid level ai data analyst role?
Moving from entry level to mid level takes deepening your technical foundation while building a record of independent contribution. Focus on owning a full analytical workflow, from data sourcing through modeling to stakeholder presentation, rather than supporting others' projects. Developing proficiency with machine learning frameworks, SQL at scale, and business communication makes the transition more credible when you apply.
Which industries hire the most mid level ai data analysts?
Mid Level ai data analyst roles concentrate in Education, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in AI and predictive analytics at this experience tier because mid level analysts can take ownership of ongoing models and data products without requiring the full oversight that early-career hires need.