Asset Management Analyst executing enhanced asset management processes for fleet management and revenue monitoring. Supporting asset team through data analytics to improve customer experience and sales.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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