The ideal candidate will have a passion for data exploration, coupled with the skills to technically structure data and define data models required to underpin data-driven marketing. This is a skilled role for individuals who have experience with data exploitation, digital tagging, data modelling, technical data structures, data governance and compliance.
Data Exploration, discovery & analysis of new data sources.
Consult with business teams regarding their requests on data discovery, reporting and analytics in order to define projects and support end-user requirements.
Outline complete data capture points at market level (e.g. websites, 3rd parties)
Assess potential risks associated with data flows.
Define/create a model for data insights which can be re-used/repeated across markets.
Ensuring alignment of consumer data models with other programmes/functions, such as finance data, market share data, etc.
Building robust, efficient, sustainable data models, balancing short-term needs with long-term availability of data.
Providing subject matter expertise on data tools.
Champion data modelling and data management to provide ongoing recommendations for data driven business decisions.
Communicate with and when required, provide oversights to data suppliers when necessary to deliver accurate and timely services to the business.
Champion the use of data-driven analysis within the organisation, showcasing the value of integrating multiple data sources ultimately to educate internal business analysts on making the most efficient use of the capabilities available.
Work together with IT & Business teams to standardise processes and operationalise solutions regarding the use of data.
ESSENTIAL EXPERIENCE, SKILLS & QUALIFICATIONS
Confident use of and ability to communicate to others about complex data in a way that is easily understood and inspire confidence in business stakeholders and senior management.
Experience delivering small-medium scale analytical projects in an organisation.
Self-starter who will look for opportunities to improve internal processes.
Deep understanding of tools, master data and data alignment.
Substantial business experience
Critical thinker with numeric background (degree or relevant)
Unilever PLC, incorporated on June 21, 1894, is a fast-moving consumer goods (FMCG) company. The Company's segments include Personal Care, which primarily includes sales of skin care and hair care products, deodorants and oral care products; Foods, which primarily includes sales of soups, bouillons, sauces, snacks, mayonnaise, salad dressings, margarines and spreads; Home Care, which primarily includes sales of home care products, such as powders, liquids and capsules, soap bars and a range of cleaning products, and Refreshment, which primarily includes sales of ice cream and tea-based beverages. The Company's geographical segments include Asia/AMET/RUB, The Americas and Europe. The Company operates in more than 100 countries, selling its products in more than 190 countries. The Company operates approximately 310 factories in over 70 countries. It operates a network of over 400 warehouses globally.