Working Day: 5 Days
Role & Responsibilities:
- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop and maintain the data models, reporting systems, data automation systems, dashboards and performance metrics that support the key business decisions.
- Design and build technical processes to address business issues.
- Oversee the design and delivery of reports and insights, analysing the business and key operations performance metrics.
- Recruit, train, develop and supervise a team of analyst-level employees.
- Ensure accuracy of data and deliverables of reporting employees with reference to the policies, procedures, and processes.
- Manage and optimise processes for data intake, validation, mining and engineering as well as modelling, visualisation and communication deliverables.
- Communicate results and business impacts of insightful initiatives to stakeholders within and outside of the company.
- At least 7 years of working experience in Data Analytics or Data warehousing or similar industry.
- A keen learner with a minimum bachelor’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, Economics or related field.
- Highly skilled in Research and Data Analytics.
- Implementation experience in data quality management techniques and establish processes for monitoring, measuring, reporting compliance with acceptable levels of data quality (completeness, validity, consistency, timeliness, and accuracy).
- Working knowledge of data mining principles: Predictive analytics, mapping, collecting data from multiple data systems on-premises and cloud-based data sources.
- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
- Experience writing advanced SAS code statements, models, and macros.
- Experience working with and creating databases and dashboards using all relevant data to enable the stakeholders to make informed decisions.
- Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
- Strong problem solving, quantitative and analytical abilities.
- Strong ability to plan and manage numerous processes, people and projects simultaneously.
- Excellent communication, collaboration, and delegation skills.
- A client-centric, outcome driven and quality focused team player.
**Interested please email your resume to: firstname.lastname@example.org
We regret that only shortlisted candidates will be notified.
EA License no.: 20S0252
EA Personnel Reg. no.: R2094623