8 jobs voor statistical analyst gevonden

About the Job : 

On behalf of our client working in the Financial Services Industry, we are look for a Credit Risk Analyst that will help assessing project viabilities and predictive model development and optimization : 

• In credit risk model analysis and maintainance 
• Code development and code testing to put in place new predictive models into the system 
• Ensuring good communication flows with Banking regulators 
• Ad hoc research on portfolio risk evolution 

At Methis Consulting, you will join a energetic organisation, where you will have the opportunity to help companies in the energy and mobility sector and with the major challenges related to energy transition

• Interesting and relevant projects and roles with our clients
• Ranging from a few months to several years (always in joint agreement)
• Many opportunities to contribute to the further growth of Methis Belgium (e.g.marketing, team, knowledge sharing, development of the internal organisation)
• Intensive cross BE-NE cooperation and knowledge sharing

Oliver James is looking for a Data Analyst SAS for different roles, with strong capabilities.

We introduce talented people to great organizations so that both may grow and benefit from each other's experiences, helping to fulfil their potential.As such, you can come to expect a consistently high level of service and delivery, placing up to C-suite talent in permanent and contract positions, as well as project-based consultancy and temp solutions worldwide from our 12 global locations.
 

Responsibilities:

 

• Extract, clean, and transform data from various sources using SAS and SQL.
• Analyse large datasets, identify trends, and conduct advanced statistical analysis.
• Create interactive reports and dashboards in Cognos to communicate insights effectively.
• Collaborate with cross-functional teams to understand business objectives and provide data-driven recommendations.
• Assist in designing and maintaining data models to support reporting and analysis.
• Stay updated with industry trends and identify opportunities for process improvements and automation.

 

Our client is a growing company in the pharmaceutical sector.

Power BI: 

• Design, develop, and maintain complex Power BI reports and dashboards, by combining advanced DAX functions, complex measures and efficient data modeling techniques.
• Optimize report performance for large datasets, ensuring efficient data loading, processing, and visualization.
• Implement various security measures to ensure data integrity and confidentiality.

Data Analysis:

• Analyze large and complex datasets from various sources to identify trends, patterns, and insights.
• Create compelling and informative data visualizations for stakeholders.
• Implement data quality checks and validation procedures to ensure reliability of data.

Expert & Coach: 

• Work directly with data engineers to ensure seamless data integration.
• Coach junior data analysts on Power BI best practices and advanced techniques.

• Actively participate in knowledge sharing and contribute to the development of the team's expertise.

   

Market & category analysis, raw material analysis, negotiation performance measurement, development of data based tools & systems for decision making.). 

As Biostatistical Analyst you will be responsible for:

• Development of analysis datasets (CDISC ADa.M format) via SAS programming
• Development of analysis tables, listings and figures via SAS programming
• Implementation of CDISC standards in clinical trials
• Quality control of project deliverables
• Creation of the Statistical Analysis Plan and mock TLFs for Phase I studies
• Production and optimization of system tools and macros

  Key Responsibilities:  Develop and maintain big data solutions to support business objectives Analyze and interpret large, complex data sets to identify trends and insights Collaborate with cross functional teams to identify and implement data driven solutions Create and maintain data visualization and reporting tools to support decision making Integration between enterprise architecture and data collection. Stay up to date with industry trends and technologies to identify new opportunities for data analysis  

Job Description

As a Senior Data Scientist, you will build and share knowledge with your colleagues.With initiatives like our knowledge sharing sessions, you have various chances to bond and exchange ideas with colleagues, and keep up to date with the latest developments in the field.

You love working with data and are an expert in developing and implementing various statistical and machine learning.You will work in a multidisciplinary team, including data engineers, cloud architects, analysts,