Customer Success AI Business Analyst

Qlik•Boston, MA

2d•$85,000 - $100,000•Hybrid

About The Position

A Gartner® Magic Quadrant™ Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Step into a pivotal position as an AI Business Analyst within our Customer Success Intelligence and Agentic Ops team. Your experience in data analysis, prompt engineering and workflow design will directly contribute to strategic initiatives that enhance our customers’ experience, drive product adoption and ensure customer retention. This role offers an exciting opportunity to work at the cross roads of data, AI and operations as an integral part of our CS Agentic Ops vision and journey.

Requirements

A bachelor’s degree (or equivalent experience) in Business, Information Management or Data Science.
2+ years in data analysis preferably in a SaaS, B2B technology or Customer Success environment.
Proficiency with Qlik Sense or similar tools (SQL, Tableau, PowerBI), plus advanced Excel skills.
Basic understanding of Python, APIs or LLM architecture.
Working knowledge of business/systems analysis and design.
Experience creating related documentation including requirements specifications, entity relationship diagrams, process maps or data flow diagrams.
Experience with AI prompt engineering or no-code/low-code automations to improve outputs from existing processes.
Demonstrated ability to drive innovative change and achieve positive business outcomes through data analysis, systems analysis and process design.
The ability to clearly present insights to both technical and non-technical stakeholders.

Nice To Haves

Turning data into impact: Use your analytical skills to uncover trends and insights that improve decision-making and enhance performance across the Customer Success Organization.
Collaboration at its best: Partner with teams across the business to solve challenges and deliver on shared goals by designing and documenting AI agentic workflows or tools that intelligently automate tasks or assist humans to perform tasks more effectively.
Innovating processes: Be the one who identifies opportunities for automation and efficiency, ensuring we work smarter, not harder.
Leading with AI and Automation: Boost Customer Success productivity and effectiveness by developing re-usable AI prompts or no-code/low-code automations that support business needs customer success management at-scale.

Responsibilities

Build analytics artifacts (Qlik applications, dashboards and KPIs) and generate intelligence from data to support customer engagement, adoption and retention strategies.
Author detailed user stories, functional requirements, and process specifications for AI-driven and agentic workflows (e.g. autonomous account monitoring, escalation routing, renewal risk alerts, and CSM task automation).
Translate business needs into structured requirements that engineering, AI/ML, and product teams can execute against with confidence.
Map current-state CS processes and design future-state agentic workflows, clearly documenting triggers, decision logic, handoff points, and human-in-the-loop controls.
Expand the Customer Success AI prompt library by developing, refining or optimizing reusable inputs for generative AI models.
Identify areas for improvement in existing processes and creating related no-code/low-code automation workflows to achieve scalability and predictability of outputs.