Contact us

Data & Analytics Engineer

Ref : JRQ$202-22366



Job description

Murex is a recognized global leader in software development for trading, risk management and processing. Every day banks, asset managers, corporations and utilities, across the world, rely on Murex people and Murex solutions to support their capital markets activities. Our motto “pioneering again” sums it all up: since its creation, Murex has reinvented itself time and again to adapt to capital markets revolutions – each time offering innovative software solutions to the industry.

Over 2200 specialists are located across our 17 offices: Beijing, Beirut, Dubai, Dublin, Hong Kong, London, Luxembourg, Moscow, New York, Paris, Sao Paulo, Santiago, Seoul, Singapore, Sydney, Tokyo, and Toronto.

As a Data and Analytics analyst, you will be staffed on a mission where analytics is a key component whether to monitor performance through KPIs, analyze behavior and trends, detect data anomalies,… You will be working with cutting-edge technologies such as Qlik Sense, Microstrategy, Power BI, SAP EPM, Talend. Working in the data and analytics domain is a premier opportunity to work and be exposed to all the analytics life-cycle (Capturing clients’ requirements, analyzing business needs, profiling data, defining data quality rules, integrating the data, modeling the data, cataloging the data, visualizing, testing, releasing…).

Member of the information system department and the data and analytics domain, your responsibilities include:

  • Collaborate with a cross functional agile team to understand business requirements, challenge them and translate them into analytics specifications
  • Understand the data through defining it, its usage and profiling it
  • Generate optimized dimensional models serving as backbone for the visualization layer
  • Discover new opportunities to optimize the business through analytics and statistical modeling
  • Define, design and implement automated tests for different test types for continuous integration and delivery
  • Design and implement data quality processes
  • Communicate regularly on the different deliveries and train the users on how to maximize their use of analytics
  • Member of the agile team, participate actively in all ceremonies, artifacts and formulate improvement points in the team retrospective
  • Propose new ideas and innovations, challenge the existing environment/framework/delivery process/technologies
  • Integrate both analytics applications and transactional applications through APIs
  • Work on predictive/prescriptive analytics use cases with structured and unstructured data