Job Description
Business Intelligence Analyst
Reporting To: Tech Lead
Employment Type: 3 Year Contract
Department: Technology & Data
Start Date: ASAP
Moringa School
Moringa School is a Nairobi, Kenya-based multi-disciplinary learning accelerator committed to providing young Africans with digital and professional skills training. Through experienced teachers and mentors, a highly-scalable blended learning model, and a market and outcomes-driven curriculum, Moringa school aims to transform higher education throughout Africa and enable its graduates to be globally competitive with their peers.
Moringa School was founded to bridge the gap between high-potential job seekers without relevant skills and local employers who have difficulty finding high-quality tech talent. Moringa School prides itself on its brand promise of employability. To date, we’ve kept our job placement rate for our job-seeking graduates above 85% and intend to keep employability and employment top of mind for all future strategic decisions.
Technology & Data Vision:
• Serve as a backbone to enable us to deliver a world-class customer experience from lead nurturing to graduation [and beyond] in an efficient manner and at scale
Technology & Data Mission is to empower Moringa School to succeed in our vision using technology that enables:
• An improved and great customer experience
• A more scalable business model so that overheads grow much slower than revenue
• Rapid innovation and experimentation in teaching and learning
• Building a tech-enabled learning experience
• Effortless communication and collaboration
• Better data insights to drive faster and better business decisions
What you will do!
1. Business Intelligence
a. Implementation of the roadmap to create a data culture across the organization.
b. Lead organisational capacity building and understanding of data-driven decision making on operational and strategic priorities through onboarding, training and updating of data playbooks.
c. Set and update business KPIs in line with operational teams and delivery.
d. Provide weekly, quarterly and annual reports on business performance and processes with improvement and recommendations.
e. Implementation of revamped and new data analysis methodologies.
2. Data Life-cycle Management
. Design and execution data migration plans for transitioning legacy databases into new data systems.
a. Maintain a tracker for determining the health of org data on both legacy and new data systems.
b. Design and help implement architecture for end-to-end processes for capturing, storing, and visualizing data.
c. Design and maintain a catalog for all primary entities on which data is captured.
d. Identify and resolve data security loopholes within our data architecture.
3. Project Management
a. Collaborate with team leads to document requirements for data-oriented projects.
b. Define the roadmap for developing custom dashboards in collaboration with the Technology & Data team.
Key Competencies & Requirements
Technical skills
1. Proficiency in data analysis software SQL, Excel, R and Python, to the modeling of risks, perform complex data mining and automation techniques.
2. Working with CRMs: Possess ability to create and manage objects and relationships and workflows on enterprise-grade CRMs & ERPS.
3. Data Visualization: Being able to tell a compelling story with data to get your point across and keeping your audience engaged.
4. Data wrangling and intuition: Mapping and transforming data from a single raw data form into a different format and being a problem-solver with data-driven efficiency.
5. Machine learning: Knowledge on general concepts in machine learning.
6. A good grasp of math and statistics
Soft skills
1. Communication skills: Ability to convey ideas to various stakeholders both written and spoken channels
2. Research: Should be prepared to lead and get into researching to make the most out of the data they collect and use the findings to stay on top of industry trends so as to interpret the most meaningful insights.
3. Problem-solving: Must be able to find and troubleshoot the problem so they can continue to efficiently capture the data they need.
4. Attention to detail: Must be able to notice the small clues that point toward a larger message that’s hiding in a group of data.
5. Collaborative skills: Ability to work seamlessly with others to determine what types of questions can be answered through data analysis and collaborate with web developers to ensure that their company’s website is designed to efficiently capture the data they need.
6. Design thinking and innovation