Business Intelligence Analyst transforming complex business data into actionable insights at Intel Corporation. Supporting business intelligence solutions and stakeholders' strategic decisions with innovative visual approaches.
About the role
- Business/Data Analyst facilitating data-driven solutions for a prominent bank in Greece. Collaborating on data analysis, reporting enhancements, and business intelligence solutions.
Responsibilities
- **Responsibilities**
- Collaborate with Business Units to identify, analyze, and document requirements related to business data and reporting.
- Analyze requirements and prepare detailed specifications for data elements, information flows, and reports sourced from the Bank’s Data Warehouse.
- Configure and parameterize data structures and reporting components in line with business and technical requirements.
- Conduct User Acceptance Testing (UAT) to ensure accuracy, completeness, and reliability of delivered results.
- Design and implement initiatives to ensure data quality, consistency, and completeness, including validation checks and controls.
- Perform ongoing data validation and reconciliation checks to ensure the integrity of produced outputs.
- Prepare specifications for new data enhancements or updates to existing data structures, aiming to optimize the content and usability of data repositories.
- Analyze requirements and support the visualization of data through Business Intelligence tools (e.g., dashboards and reports).
- Define and document specifications for the calculation and monitoring of (KPIs).
- Perform operations and configuration management in centralized databases (Risk & Finance repository); monitor performance/efficiency and recommend improvements.
- Support testing processes and contribute to the successful delivery of data and reporting solutions.
- Team player showing flexibility and adaptability to Change; ability to work under pressure and tight deadlines.
- Inquiring and innovative spirit seeking to take initiatives, investigating the causes of an issue and recommending changes for improvement.
- Ability to communicate with people of diverse backgrounds in the context of cross functional teams.
Requirements
- **Qualifications**
- Degree in Computer Science, Economics, Mathematics, Statistics, Business Administration, or a related field (BSc, MSc)
- 3-5 years of experience in Data Analytics, Data Warehouse, Business Intelligence, or related roles, preferably in the banking sector with preference in credit risk and regulatory requirements.
- Proven hands-on experience with data management and analytics tools such as SQL Server, Power BI and Copilot.
- Good understanding of banking products, operations, and information systems, will be valued
- Strong command of MS Office (Excel, Word, PowerPoint, Access).
- Excellent command of the English language (written and verbal).
Benefits
- **What's In It For You**
- In our bank it is a top priority to provide a modern work environment, **where all our employees can perform and grow.** As an employee of Piraeus Bank, you will be part of an organization that:
- Holds a leading position in the Greek economy and maintains a robust presence in the community
- Instills a workplace culture that embraces open communication, respect, inclusion and equal opportunities
- Offers a competitive remuneration package, private health insurance program and other benefits for both employees and their families
- Provides a challenging working environment that values accountability and celebrates high performance by implementing appropriate incentives
- Empowers personal & career development and continuous learning while encouraging creative thinking and innovation
- Provides an all-bank wellbeing program, fostering initiatives that enhance physical, mental & emotional health
- Provides digital technologies and tools that fully support new ways of working and flexible working options, while communicate regularly and effectively
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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