Job Description

Job Summary We have an exciting position for a Lead Data Science Analytics to join an International consumer goods company in Cape Town. You will be responsible for supporting the organization in redefining their business and their consumer-centricity. The role will report to Data Science Analytics Manager. Degree in Marketing, business, mathematics, statistics, and advanced analytics. Post graduate qualifications in the above are highly regarded. Minimum 6+ years working experience in a consumer insights, analytics role, or similar environment. Excellent with data processing: SQL and calculations with it, scripting languages (Python, R), data visualization - front backend (e.g., Power BI, Microsoft Excel, Power Point) is critical. Solid experience working with text analytics, process mining, B2C customer focused metrics. Experience working with consumer journey studies and Customer Experience Additionally, having worked on identifying solving problems with ad hoc analytics is preferred. Playing a role in developing of organization information capabilities is expected, so experience with preparing requirements for DataMartxc3xa2xe2x82xacs and data architecture is a plus. Ability to communication influencing collaborators will help to deliver against objectives in a dynamic matrix organization. Deploying global data products and models across the 20+ markets across MEA, CIS SSEA region. Develop and deploy new data science models as required for the markets. Develop and deploy data visualizations as the go to source for on demand analytics. Building tools and analytic engines to provide in-depth root-cause analysis of critical experiences, pain points and delights. Connecting the dots across a variety of data sources and continuously building our knowledge about the consumer. Global Deployment Work closely and network with cross functional global teams to be informed on the latest data products being developed and deployed. Keep familiar with the ongoing development to ensure the alignment of locally deployed data models using Salesforce, Treasure data, Snowflake and/or AWS. Local Deployment Craft and develop data science models to tackle well defined business challenges at local market level across the region based on consumers insights, research insights and/or market requirements.xc3x82 Data Infrastructure Ensure that the development and structuring of data warehouse solutions is aligned to global standards, to be used as a trusted source of information. Assist markets, guiding local resources on the usage of such warehouse to scale analytics capability.xc3x82 Analytics, Advanced Analytics Research Aligning to global standards, analyze, structure and present data by breaking down or connecting different data sets to add business value and translate the data into compelling stories to encourage action from the business.xc3x82 Lead the analysis when combining core market data and data from research outputs, present key findings, and recommendations to hub heads. Identify techniques for breaking down data silos and reporting insights inside markets to create deeper insights that serve the demands of the market and its consumers ultimately boosting clarity.xc3x82 Visualization Automation: Provide assistance in automating time-consuming reports or reinvent repetitive tasks. Guide/ Develop data dashboards based on market requirements or data science models that assist markets in making valuable decisions. Establish data visualization techniques and analytics to use data creatively and to provide the ability to see what was previously invisible.xc3x82 Capability Building Support multiple teams/colleagues by explaining simple Data Science and Analytics methodologies and walkthroughs of different tools.xc3x82 Innovation Develop/propose fresh insights and data utilization strategies that help businesses to see/use an alternative to thexc3x82 usual.

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