The position holder should be ready to learn and will be progressively trained to handle the following support related responsibilities:
Liaise with business partners to develop data analytics and insightful data visualizations to provide actionable strategic insights.
Work in multi-disciplinary, cross-organizational teams, including the exploration of new methods of data analysis.
The successful candidates will have the following Essential Knowledge & Skill:
At least 1 years’ experience in, data engineering, business intelligence, data science, or a related field.
Experience in a complex data warehouse environment, hands-on data warehousing project experience and experience in full life cycle Business Intelligence development, implementation, tuning and support.
Advanced working SQL knowledge and experience working with databases.
Proficiency in statistical and analytical tools/languages (e.g., Python, Julia, Advanced excel.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
Adept at queries, report writing and presenting findings.
Key Qualifications
Holders of a 2nd class honours degree in Computer Science or closely related field from a recognized institution.
Deep understanding of Data Warehouse design and Business intelligence visualization (e.g., Power BI, Power Query, DAX).
Expertise with MS SQL Server and the full Microsoft Business Intelligence suite (SSAS, SSRS, SSIS).
In-depth understanding of backend ETL for data extraction & building data models, including scripting and data source integration.
Working knowledge of source control tools (e.g., GIT, Azure Deveps, Slack).
Expertise in at least one data-focused programming language (e.g., Python, Julia, MATLAB).
Apply via :
www.davisandshirtliff.com
