Reference: NFP014178-RDL-2 Are you a skilled data enthusiast with a knack for business analysis? We are talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial services products and processes under analysis Investigate data integrity issues alongside the wider team and propose propose viable solutions Communicate complex data insights to both technical and non-technical stakeholders teams to develop data-driven solutions and strategies Establish and implement data validation protocols
SSIS packages, and dashboards
and processes under analysis
Financial Data Analyst (Financial Report Writer)
Our U.S. client is hiring
Reporting Structure:
role
Responsible for: Data Analysis Must have mature hands on exp with "End to End Credit Lifecycle" Must
: To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop execute cutting-edge AI and BI solutions. Drive data science projects, using sophisticated analytics will collaborate with other departments to design data strategies, build models, and embed those models models into software-driven business processes Data Analysis and Modelling: - Develop and deploy machine learning processes. - Conduct in-depth data analysis, data exploration, and data pre-processing to extract valuable
Investigate data quality issues with the wider team and suggest solutions. • Communicate complex data insights teams to develop data-driven solutions and strategies. • Develop and implement data validation checks checks to ensure accuracy and completeness of data. • Competencies • Strong problem-solving skills with the ability to translate abstract business problems into data queries. • Honours degree in Mathematical Statistics be considered. • Min 4 - 6 years of experience in data analysis or a related field. • Strong proficiency
Job title: Jnr Financial Data Analyst
Our client, based in Hermanus is looking to hire a Jnr Financial Data Analyst to join their team as soon as possible Analysis
Systems
Years experience in a business analyst role, preferably in a formal data, data warehousing, or business intelligence as a business analyst in data warehousing projects.