NISC · 2 months ago
Product Analyst – AI
NISC is a technology leader in the AI space, developing software solutions for energy cooperatives and communication organizations. As a Product Analyst – AI, you will integrate AI insights and automation into enterprise software, collaborating across teams to ensure features are aligned with member needs.
ComputerSoftware
Responsibilities
Partner with Product Management, Design, and Engineering to define data-informed requirements for new AI and intelligent features
Write user stories, define acceptance criteria, and translate model outputs into meaningful user experiences
Define and maintain key product health metrics — usage, adoption, retention, and ROI — for AI features and products
Conduct deep-dive analyses into user interactions with AI tools (e.g., prompt quality, model relevance, workflow outcomes)
Collaborate with data scientists and ML engineers to evaluate and monitor model performance, including accuracy, drift, fairness, and edge cases
Build dashboards and monitoring systems that track AI system health and highlight actionable insights
Perform exploratory data analysis and partner with Product Management teams to identify opportunities for automation, prediction, and decision support across NISC products
Benchmark industry AI trends and third-party tools to help shape product direction
Partner with internal enablement and support teams to promote understanding of NISC's AI tools, roadmaps, and ethical design principles
Clearly communicate insights and recommendations to technical and non-technical audiences, ensuring alignment with NISC's mission and Member values
Maintain documentation of analytical approaches, ensuring transparency, reproducibility, and explainability in all work
Stay informed on AI governance, compliance, and responsible AI practices, helping NISC maintain a "human-in-the-loop" approach across all AI solutions
Other related duties as assigned
Commitment to NISC's Statement of Shared Values
Qualification
Preferred
3+ years of experience in product analytics, data analytics, or BI — ideally with exposure to AI, ML, or predictive product features
Excellent analytical and communication skills — able to translate technical findings into clear, Member-focused recommendations
Comfortable working cross-functionally and iteratively in a fast-moving, data-informed environment
Passion for responsible, transparent, and explainable AI that improves human work rather than replaces it
Strong understanding of machine learning fundamentals — model evaluation, feature importance, overfitting, and drift
Experience interpreting model outputs (e.g., predictions, classifications, probabilities) and turning them into actionable product insights
Proficiency in SQL and one or more data visualization tools (Tableau, Power BI, Looker, or QuickSight)
Familiarity with cloud data platforms (AWS, GCP, or Azure) and modern data pipelines
Exposure to AI observability tools or techniques (e.g., model drift monitoring, fairness assessment)
Experience supporting AI product evaluation and governance initiatives
Familiarity with utility or broadband industry data or enterprise SaaS environments
Prior work on RAG (retrieval-augmented generation) systems or AI Assistant tools a strong plus
Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Economics, Business Analytics, or related quantitative field
Company
NISC
National Information Solutions Cooperative (NISC) is an information technology organization that develops, implements and supports software and hardware solutions for our Members/Customers.
H1B Sponsorship
NISC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (7)
2023 (1)
2022 (1)
Funding
Current Stage
Late StageRecent News
Morningstar.com
2025-09-23
2025-07-17
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