Reference: NFP014178-RDL-3 Are you a skilled data enthusiast with a knack for business analysis? We are a talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial financial objectives. With a diverse portfolio of client-facing brands and specialist services, they provide practical solutions tailored to the needs of their clients. Responsibilities: Refine, analyze, and interpret products and processes under analysis Investigate data integrity issues alongside the wider team and propose
you a talented Data Engineer looking to make a significant impact? If you excel in data collection, analysis this role is to collect, clean, and analyse data to drive data-driven decision-making and support business Responsibilities: Data Collection and Cleaning: - Collect, extract, and compile data from various sources transform raw data into structured datasets for analysis. - Identify and resolve data quality issues developments in data analytics. Data Analysis and Interpretation: - Perform exploratory data analysis to
underwriting criteria is requested and adhered to both by clients as well as brokers and administrators. Claims Assisting Office Administration. Develop relationships with clients and ensure high levels of service. Assist with
use your analytical brain to develop and maintain data pipelines and automation tools, assist with database driving innovation. Where you'll be doing it Our client is a dynamic and growing Investment Multimanager bachelor's degree or honours in Computer Science, Data Science, Investments, or Mathematics. You also need languages commonly used in quantitative finance and data analysis, SQL is essential, Python and R are advantageous
the Chief Data Officer, the successful candidate will play a critical role in driving data-driven decision-making within the organisation. This position involves data collection, cleaning, and analysis, as well as presenting enhance performance. As a Senior Data Analyst, you will engage in complex data analysis, create insightful through robust data analysis. Key performance indicators include the accuracy and relevance of data insights of data-driven decisions on business performance. Key qualifications for the Senior Data Analyst : Bachelor's
the Chief Data Officer, the successful candidate will play a critical role in driving data-driven decision-making within the organisation. This position involves data collection, cleaning, and analysis, as well as presenting enhance performance. As a Senior Data Analyst, you will engage in complex data analysis, create insightful through robust data analysis. Key performance indicators include the accuracy and relevance of data insights of data-driven decisions on business performance. Key qualifications for the Senior Data Analyst : Bachelor's
Reference: NFP014178-RDL-3 Are you a skilled data enthusiast with a knack for business analysis? We are a talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial financial objectives. With a diverse portfolio of client-facing brands and specialist services, they provide practical solutions tailored to the needs of their clients. Responsibilities: Refine, analyze, and interpret products and processes under analysis Investigate data integrity issues alongside the wider team and propose
you a talented Data Engineer looking to make a significant impact? If you excel in data collection, analysis this role is to collect, clean, and analyse data to drive data-driven decision-making and support business Responsibilities: Data Collection and Cleaning: - Collect, extract, and compile data from various sources transform raw data into structured datasets for analysis. - Identify and resolve data quality issues developments in data analytics. Data Analysis and Interpretation: - Perform exploratory data analysis to
Our mining client is currently seeking the services of a Data/Technical analyst to join their team for KEY PERFORMANCE AREAS ·View, analyse and compare data from mining site to provide valuable insights that that drive business decisions ·Translate data into reports and dashboards and communicate to stakeholders work with data sets from different data sources to collate information for stakeholders Data extraction
Team and wider business stakeholders to analyse data and draw conclusions and insights to:
Consolidation of data from multiple data sources.
Internal and external stakeholder
Level.
MS PowerPoint must be able to summarise data analysis to communicate key messages in an engaging
environment.