Deputy General Manager - Business Analytics

About Shalina Healthcare:

We are one of the largest, privately owned pharmaceutical businesses across Africa (Global Head Quarters
- Dubai, UAE) with recent forays across multiple, new lines of businesses including Diagnostics and Consumer Healthcare.

Over the last 40 years, operating across multiple geographies, we have made it our mission to provide quality medicines to those who need it the most. We manufacture and distribute branded prescription and over-the-counter pharmaceutical and consumer products, across a broad range of therapeutic groups, including anti-malarial, antibiotics, anti-inflammatory, respiratory, gastrointestinal, nutrition, oral care, dermatology, sexual well-being, and antiseptic liquids & soaps.

Leading brands, great teams and a focus on influencing the well-being of people have made Shalina a household name in Africa.

We have a track record few can match, and our brands are among the most trusted in Africa. We are proud of our history and have big ambitions for the future. Our vision for 2030 is to be the health champion of Sub-Saharan Africa. To achieve this, we are looking for the right people to join us and create a lasting impact not just within our company but on the communities that we serve;

people who identify with our Core Values and are as passionate about our Mission as we are.

What you become a part of:

The incumbent will lead the global analytics function for a multi-country organization into Pharma, Consumer Healthcare and Diagnostics, driving data-driven decision-making across commercial, finance, supply chain, and corporate functions.

The role holder will be responsible for building and executing the analytics strategy, leveraging advanced technologies and methodologies to deliver actionable insights that enhance business performance and patient outcomes.

She/He will champion initiatives that drive business impact and long-term competitive advantage by using the existent and new data sources, techniques and technology.

What to expect:

- Leadership and Strategy:
- Lead and manage a team of data warehouse leads and Power

BI developers, fostering a culture of innovation, collaboration, and continuous improvement.
- Utilize a disciplined project management approach to scope, plan, and execute key projects resulting in high quality, results oriented, and on-time outcomes.
- Define and drive consistency in reporting across all business units to measure performance and support strategic decision making.
- Clearly and concisely communicate/ present the implications of analyses and the execution plan to senior leaders to answer business critical questions.
- Partner with senior leadership to identify high-impact analytics opportunities across Sales, Marketing, Finance, Supply Chain and Manufacturing.

- Advanced Analytics:
- Utilize advanced analytical techniques, including GenAI, to extract meaningful insights from complex datasets.
- Develop predictive and prescriptive models to support decision-making in areas such as Sales, Marketing, Finance and Supply Chain.
- Collaborate with the business/ functional users across multiple countries to understand, address & present solutions to meet business priorities
- Drive adoption of self-service analytics tools and dashboards for business stakeholders.

- Data Management:
- Ensure the integrity, accuracy, and security of data used for analytics.
- Implement best practices for data governance, data quality, and data integration across various sources.

- GenAI Implementation:
- Lead initiatives to incorporate GenAI technologies into analytics, exploring new use cases and applications.
- Stay updated on the latest developments in GenAI and evaluate their potential impact on the pharmaceutical industry.

- Vendor and Partnership Management:
- Manage relationships with external vendors and partners providing analytics services.
- Evaluate and select appropriate tools, platforms, and technologies to enhance the capabilities of the analytics function.

Essential qualifications & experience:

- Bachelor’s degree in Data Science, Statistics, Business, or a related field;
Master's degree is preferred.
- 12 – 15 years of progressive experience working in a…