Business Analyst role at IntellectEU focusing on product analytics and reporting. Collaborating with stakeholders to analyze data and enhance workflow efficiency in digital finance.
Responsibilities
Product Analytics & Decision Support: define and maintain KPIs and metric definitions perform exploratory and hypothesis-driven analyses to understand product usage, client behaviours, and outcomes.
Data Investigation & Root-Cause Analysis: investigate anomalies and data discrepancies analyse data across data sources, logs, and stakeholder inputs propose practical fixes or mitigations.
Design and iterate dashboards & reports (Analytics UX): design clear, intuitive, and actionable dashboards tailored to stakeholder needs iterate based on user feedback and changing business priorities ensure performance, accuracy, and documentation of reports.
Build AI-Accelerated Workflows: use AI tools to accelerate analysis, documentation, summarisation, first-pass SQL/scripts, and spec drafting; however, apply strong verification discipline create reusable AI-assisted assets (templates, checklists, analysis playbooks) that scale team productivity.
Requirements, Delivery & Collaboration: prioritise and scope analytical initiatives work closely with product, engineering, and business stakeholders to clarify needs and constraints work within a Scrum framework create and maintain epics, user stories, and tasks in Jira contribute to sprint planning, backlog refinement, and reviews.
Requirements
4+ years of hands-on BA experience in IT
Experience in specifying various types of requirements (business, functional, and non-functional)
Experience in creating and maintaining various documents
Knowledge of requirement management processes and change management processes
Strong SQL skills and ability to work with complex data models
Experience building clear dashboards or analytic deliverables (Power BI, Qlik, Tableau, Looker, etc.)
Understanding of data warehousing concepts (fact/dimension tables, ETL/ELT)
Experience with Python/R for advanced analysis (nice to have)
Experience with data projects or BI projects (nice to have)
Familiarity with cloud data environments (e.g., AWS, GCP, Azure) (nice to have)
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Ability to work independently and as part of a team
Detail-oriented with a focus on quality and performance
Proactive attitude and the ability to anticipate project needs
Product-oriented mindset with a focus on delivering value to end users
Benefits
Excellent compensation and benefits package including medical insurance and sports activities
International experience in a stable company
Passionate team in an innovative casual, positive, and open work environment
Great opportunities for personal and professional development
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