Business Intelligence Analyst

at  Finquest

DESCRIPTION

Finquest is the premier big data and AI company focused on identifying and connecting its clients with relevant M&A and investment opportunities. Finquest is a fast-growing Fintech company, with headquarters in Luxembourg and additional offices in New York, Toronto, London, Paris, Frankfurt, Singapore, Bangalore, and Hong Kong.
Finquest’s mission is to reinvent deal sourcing by harnessing the power of data, AI, and people. Our Luxembourg team consists of members of 15 nationalities, and we pride ourselves on a diverse and collaborative office environment across our offices.
We are looking for a BI Analyst in our Luxembourg office to work together with our internal teams and to further improve our data driven decision making processes.

REQUIRED SKILLS/ABILITIES:

• Fluent in English
• Excellent communication skills to communicate with various internal teams and senior stakeholders
• Mastery in data analytics, especially from heterogeneous data sources
• Experience with software development process
• Advanced SQL skills and strong understanding of data warehouses
• Analytical thinking for converting data into relevant reports and visualizations
• Capable of enabling row-level data security
• Knowledge of Power BI application security layer models
• Proficient in conducting advanced computations on datasets

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in business, Management, Economics, Accounting, Finance, or Computer and Information Science required. Master’s degree preferred.
• Minimum 3 years of experience in BI

• Recognize business requirements in the context of BI and create data models to transform raw data into relevant insights
• Develop with our ETL process and improve overall data monitoring and KPI tracking
• Define key performance indicators (KPIs) with specific objectives and track them regularly
• Analyze data and display it in reports to aid decision-making
• Convert business needs into technical specifications and establish a timetable for job completion
• Create dashboards and interactive visual reports with Power BI
• Create, test, and deploy Power BI scripts, as well as execute efficient deep analysis
• Use Power BI to run DAX queries and functions
• Create charts and data documentation with explanations of algorithms, parameters, models, and relationships
• Make technological adjustments to current BI systems to improve their performance
• For a better understanding of the data, use filters and visualizations
• Analyze current ETL procedures to define and create new systems