Noemdek's advisory practice was established to support international strategic advisory firms with relevant local expertise. We are able to deliver on our promise to our partners because we have a strong team of people trained at some of the world's top universities who have immersed themselves in the Nigerian business community. In addition to partnering with international advisory firms, Noemdek also works directly with clients in the healthcare, financial services, consumer goods and oil and gas industries. Similar to our venture capital business, we are fully committed to helping our clients with solutions that will ensure they have a lasting competitive advantage. Therefore, we look beyond standard solutions to develop effective partnership structures, new insights, mobilize organizations, drive tangible results, and make public and private institutions more capable. Our customized approach combines deep insight into the dynamics of companies and markets with close collaboration at all levels of the client organization. This ensures that our clients build more capable organizations, and secure lasting results. We seek to be agents of change-for our clients, our people, and society overall. Noemdek also leverages its relationships with investors to support clients in raising capital to fund acquisitions.
Responsibilities:
- Collect, analyze, and interpret complex datasets from various sources to identify trends, patterns, and insights.
- Collaborate with cross-functional teams to define data needs, and develop data collection and analysis strategies.
- Design and implement statistical models and algorithms to extract meaningful information from raw data.
- Develop visualizations and dashboards to present analytical findings to stakeholders.
- Provide actionable recommendations based on data analysis to improve business performance and decision-making.
- Stay up-to-date with industry trends and best practices in data analysis and informatics.
Requirements:
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience as a Data Analyst or similar role, with a strong track record of delivering high-quality insights and recommendations.
- Proficient in statistical analysis tools and programming languages such as Python, R, or SQL.
- Experience working with data visualization tools such as Tableau, Power BI, or Qlik.
- Strong analytical and critical thinking skills, with the ability to problem-solve and think creatively.
- Excellent communication and presentation skills to effectively convey complex findings to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
- Strong attention to detail and a commitment to accuracy.
Method of Application
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