Product Business Analyst
Company Overview:
Graphio.ai is a pioneering AI technology company delivering bias-free employee scoring solutions. Our AI agents analyze diverse data sources to provide actionable insights without compromising privacy. We aim to revolutionize workforce management through our innovative virtual Chief of Staff (vCoS) concept, automating executive decision-making processes.
At Graphio.ai, we’re no strangers to success. Our previous startup, upSWOT, which launched over 300 financial institutions, was acquired by Uptiq after some of the biggest financial players competed to acquire us. This journey taught us invaluable lessons about growth, innovation, and what truly matters. Now, with Graphio.ai, we’re moving forward with another great idea, building a solution that redefines how companies understand and manage their talent.
Position Overview:
We are seeking a Product Business Analyst to join our fully remote team and play a pivotal role in bridging the gap between business needs, data science, and engineering. This role is critical to the development process, helping the scrum team test hypotheses, fine-tune AI models, and analyze HR and workforce data to drive product improvements.
As a Product Business Analyst, you will be deeply involved in R&D processes, including A/B testing, user behaviour analysis, and preparing data for demo and sandbox environments. Additionally, you will act as a Prompt Engineer, constantly refining AI models and working closely with Data Analysts and Engineers to optimize model performance and training datasets.
Key Responsibilities:
1. Development & Scrum Team
- Work as part of an agile scrum team, participating in sprint planning, backlog refinement, and daily stand-ups.
- Define clear and actionable requirements for the development team, based on business needs and user feedback.
- Collaborate with product managers, engineers, and data teams to ensure efficient feature development and deployment.
2. Research & Development (R&D)
- Participate in A/B tests and data-driven experiments to validate business and AI model hypotheses.
- Prepare data for demo and sandbox environments, ensuring realistic scenarios and high-quality datasets.
- Analyze test results to determine the effectiveness of new models and feature enhancements.
- Iterate on findings to drive continuous product improvement.
3. Data Analysis & Interpretation
- Analyze HR and workforce data and trends to identify inefficiencies and areas for AI model enhancement.
- Generate insights from process inefficiencies, workforce dynamics, and client behavior.
- Work closely with Data Science teams to translate business problems into data-driven solutions.
4. AI Model Optimization & Prompt Engineering
- Act as a Prompt Engineer, constantly refining AI models by improving prompt structures and fine-tuning responses.
- Work with Data Analysts and Engineers to enhance AI accuracy and performance based on real-world use cases.
- Assist in the preparation of training datasets for AI models, ensuring relevance and quality.
- Test new AI features and NLP capabilities, providing structured feedback to improve performance.
5. Collaboration with Data & Engineering Teams
- Partner with Data Science, Engineering, and Product teams to ensure AI models are well-calibrated to business needs.
- Fine-tune models using feedback from customer interactions and real-world enterprise data.
Align business and technical teams on key AI enhancements and new product capabilities.
Remote Work Requirements:
- Strong communication skills in English, both written and verbal.
- Proven ability to work effectively in a fully remote, distributed team environment.
Self-motivated with excellent time management and organizational skills.
Qualifications:
- 3+ years of experience as a Product Business Analyst, Data Analyst, AI/ML Analyst, or similar role.
- Strong experience in agile product development, working within a scrum team.
- Experience working with A/B testing, product experimentation, and hypothesis validation.
- Hands-on experience with HR analytics, workforce data, and business process analysis.
- Familiarity with AI models, machine learning pipelines, and prompt engineering.
- Proficiency in SQL and Python for data extraction, analysis, and model fine-tuning.
- Strong analytical skills with experience working with BI tools (Power BI, Looker, Tableau, or similar).
Understanding of natural language processing (NLP), AI training data, and model evaluation techniques.
Preferred Qualifications:
- Experience working in HRTech, workforce analytics, or enterprise SaaS.
- Background in business intelligence (BI) or product analytics.
- Previous experience in AI model training, optimization, and human-in-the-loop AI processes.
Knowledge of data labeling, annotation, and reinforcement learning techniques.
What We Offer:
- Competitive salary and comprehensive benefits package.
- Work from anywhere with flexible hours and a supportive remote culture.
- Opportunities for professional development and career growth.
The chance to be part of a groundbreaking team shaping the future of workforce AI.
Company Cultural Requirements:
At Graphio.ai, we embrace a high-performance, mission-driven culture with clear expectations:
- A professional corporate background on LinkedIn is required.
- The entire team takes synchronized vacations four times a year, ensuring better alignment and collaboration.
- Team members can reside in Ukraine but must be ready to relocate with their families to Europe or the USA upon the company’s request and according to the law requirements.
- A non-standard work schedule is part of the commitment, reflecting the demands of startup life.
We are building something exceptional, which means full dedication and a willingness to tackle complex challenges.
A Final Note:
If you’re a data-driven problem solver who loves working at the intersection of AI, product development, and business analytics, we want you on our team! Join us at Graphio.ai and help shape the future of workforce AI.
📜 upSWOT acquisition press release
📊 Graphio.ai deck