Latest Vacancies at GVA Partners

Our client requires the service of a highly skilled Data analyst. The successful candidate will process, inspect, cleanse, transform, and model data with the goal of discovering useful information, informing conclusions, and supporting decision-making. This individual plays a role in making decisions more scientific and helping businesses operate more effectively.

Responsibilities:

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• ·Work with management to prioritize business and information needs
• ·Locate and define new process improvement opportunities
• ·Perform other duties as assigned by the Team Lead, Data Analytics

Keys Qualifications and Skills:

• Bachelor's and/or advanced degree with a concentration in Data Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics.
• 2-6 years working experience as a data analyst or business data analyst, preferably in the financial services industry
• Technical expertise regarding data models, database design development, data mining and segmentation techniques 
• Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc.)
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Ability to learn and dedication to service delivery
• Proficiency in office automation tools (e.g. Microsoft Office, etc) 
• Proficiency in SQL 
• Oral & Written communication 
• Team building / conflict management 
• Initiative 
• Analytical Skills/ Problem solving 
• Self-Management 
• Interpersonal Skills
• General managerial/ administration

go to method of application »

Our client, in the Banking Industry requires the service of a qualified Data Engineer Responsible for constructing and maintaining architecture. The successful candidate will develop data set processes for data modelling, mining, and production Employ a variety of languages and tools (e.g., scripting languages) to marry systems together, recommend ways to improve data reliability, efficiency, and quality also perform other duties as assigned by the Team Lead, Data Engineering.

Responsibilities:

• Extending company’s data with third party sources of information when needed
• Processing, cleansing, and verifying the integrity of data used for analysis
• Develop, construct, test and maintain architectures (such as database and large-scale processing systems) 
• Ensure architecture will support the requirements of the business 
• Discover opportunities for data acquisition

Keys Qualifications and Skills:

• Strong STEM background - Bachelor's degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization
• 2-6 years working experience as a data engineer or business data analyst, preferably in the financial services industry
• Technical expertise regarding data models, database design development, data mining and segmentation techniques 
• Knowledge of statistics and experience using statistical packages
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Good knowledge of infrastructure and capacity sizing 
• Technical expertise around design and flow of data from system to system without loss 
• Use of ETL tool like SSIS, ODI etc
• Design of master data and data lake
• Proficient in office automation tools (e.g. Microsoft Office, etc) 
• Proficient in SQL