DUTIES AND RESPONSIBILITIES
i. Identify valuable data sources and automate collection processes
ii. Undertake to preprocess of structured, semi-structured, and unstructured data
iii. Coordinate the designing, building, and deployment of business intelligence (Bl) solutions (e.g. reporting tools) and tools to store data (e.g. OLAP cubes)
iv. Analyze large amounts of information to discover trends and patterns
v. Present information using data visualization techniques
vi. Initiate solutions and strategies to business challenges
vii. Perform data translations and produce useful reports;
viii. Assess the effectiveness, quality, and accuracy of new data sources and data gathering techniques;
ix. Develop tools to monitor and analyses system performance and data accuracy.
x. Monitor performance against targets for various systems and business metrics
xi. Prepare and distribute statistics and economical information to the stakeholders;
xii. Participate in the mobilization of resources for the implementation of plans and projects;
xiii. Collect inputs for the review of the strategic plan;
QUALIFICATION AND EXPERIENCE
a. Minimum of Bachelor's Degree in Computer Science/ Information Technology/ Computer Engineering, Data Science or related discipline from a recognized institution.
b. Knowledge of Data Warehouse tools for Reporting, Integration, and Analysis such as SQL, R, Perl, Python etc.
c. Background in data warehouse design (e.g. dimensional modeling) and data mining
d. In-depth understanding of database management systems, online analytical processing (OLAP), ETL (Extract, transform, load) frameworks;
e. Experience using business intelligence tools (e.g. Tableau) and big data frameworks
f. Working knowledge of various programming languages (e.g. Java, C/C++, Scala, etc.).
g. Advanced numeracy skills (e.g. statistics, algebra)
h. Knowledge of machine-learning and operations research will be an added advantage
i. Knowledge of Economics is an added advantage
REMUNERATION: Attractive remuneration Package
