Data Analytics Specialist Cape Town, South Africa - Philip Morris International

Philip Morris International

Verified Company

Cape Town, South Africa

1 week ago

Posted by:

Thabo Mthembu

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Description

At PMI, we've chosen to do something incredible. We're totally transforming our business and building our future on one clear purpose - to deliver a smoke-free future.

With huge change, comes huge opportunity.

So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly new directions.

'Consumer Life Sciences' is a completely new part of our business, built to pioneer new products as we strive to build our smoke-free future. We're PMI's connection with customers, turning our understanding of different markets and customer motivations into effective marketing and commercial strategy. We're driving forward our revolution.

If your skills are in business management, economics or marketing, there's no better place to work right now. We have the resources and the people power to succeed. Our culture is creative, collaborative, flexible and dynamic, with a refreshing lack of hierarchy.

If you're adaptable and comfortable with ambiguity, you'll find so much freedom here to craft your future and endless opportunities to develop.

The Market Research function crafts economic advantage for Philip Morris International by enabling decision makers to act on a consistent and insightful understanding of consumers.

As PMI amplifies its transformation to a consumer-centric organization, the Market Research function is becoming strategically important, and we're currently looking for an experienced and dedicated data analytics and insights professional to join the team in South Africa.

The role of the Data Analytics Specialist known in our environment known as a "Data Scientist & Analytics Lead" and is responsible to support the organization in redefining our business and our consumer-centricity by:

Deploying global data products and models across the 20+ markets across MEA, CIS & SSEA (Our region)So
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 indepth rootcause 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

Your 'day to day'

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.

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.

Analytics, Advanced Analytics & Research

Aligning to global standards, analyse, 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.

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.

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.

Capability Building

Support multiple teams/colleagues by explaining simple Data Science and Analytics methodologies and walkthroughs of different tools.

Innovation

Develop/propose fresh insights and data utilisation strategies that help businesses to see/use an alternative to the usual.

Who we're looking for

Tertiary Qualifications 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 c