Data Analyst
1 week ago
**About the role**
**The Purpose of Role**:
Unilever is driving digital transformation to enable us to become an analytical competitor and deliver growth. Our mission is to transform our organization into digital first culture, delivered by a world-class data and insights team, leaping ahead of our competition in everything we do.
2. Winning disproportionately. We believe that the best way to move the needle for Unilever in Analytics is to create analytics products that make a significant impact on our business and drive competitive advantages.
3. Drive Unilever to assist and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from the vast deluge of consumer, customer and internal data, and presenting this in a way that is simple for our teams.
4. Make data a true asset. Better data and data science access for every part of Unilever, across the 3 data frameworks (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
5. World-class Information. One Version of the Facts. Continued excellence in the delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting.
**Key Responsibilities**:
- Effectively collate data from primary and secondary data sources.
- Develop and implement data analyses that optimize the efficiency and quality of reports.
- Extract and deal with data from multiple data sources (e.g., financial systems, external data sources, Marketing databases, etc.).
- Perform exploratory analysis and document findings.
- Database management in PowerBI, SQL and SharePoint.
- Leverage different statistical techniques to create insights for the business.
**Travel**:
No travel is required.
**Essential Experience/Skill/Knowledge**:
- Master or bachelor’s degree in business Analytics, Operations Research, or in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics).
- Expert knowledge of an analysis tool such as Microsoft PowerBI (essential), SQL Script (essential), Advanced Excel (essential) and Python (preferable).
- Strong analytical skills with experience in problem-solving and being able to implement and deliver solutions.
- Expert knowledge in the whole analytics process (business requirements, data ingestion, data modeling, and data visualisation).
- Professional skills in data transformation and cleaning fully operational, analytical modeling and patterns fully operational and PowerBI and SQL environment working knowledge.
- **Available to commence the 6 months; contract and immediately.**
**Desirable Experience/Skill/Knowledge**:
- Passion for empirical research.
- Ability to rapidly connect and match analytics and data products to business needs.
- Ability to communicate complex quantitative insights in a precise, and actionable manner.
**How to Apply**:
**About Unilever**:
- Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas, and disrupt processes: use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, many Malaysian households use our products to feel good, look good and get more out of life-giving us a unique opportunity to build a brighter future.- Every individual here can bring their purpose to life through their work. Join us and you will be surrounded by inspiring leaders and supportive peers. Among them, you will channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we will work to help you become a better you.
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