Data Engineering and Analytics Team Lead

2 weeks ago

Pretoria, Gauteng, South Africa Knowledge Focus Full time
Data Engineering and Analytics Team Lead

Client is a boutique company in the fields of
Intelligent Automation (IA), Digitization, Virtual agents, and Low code solutions


You will build
Intelligent Process Automation (IPA) Robots by combining
Artificial Intelligence powered Cognitive Services,
Machine Learning, and
Robotic Process Automation (RPA)with your
creativity,
database, and
development skills.

We are building a team of ultra-talented technologists who can learn and develop the wave of the future.


We are looking for smart, hard-working, and creative individuals, who are eager to have a significant, tangible impact through improving the operations for our clients.


If you're interested in being on the bleeding edge of technology in a fast-paced, passionate environment, then we must talk.

You are a good all-rounder.

Data Engineering and Analytics Team Leadyour responsibilities will include.

  • Winning disproportionately. Creating analytics products that make a significant impact on our business and drive competitive advantage in the market, while collaborating appropriately with other markets and Global teams (i.e. winning both locally and globally).
  • Drive us to assisted and predictive decisionmaking. The future is about assisted decisionmaking with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from a vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
  • Make data a true asset. Better data and data science access for every part of the business, across the 3 data frameworks (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
  • Worldclass 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.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing data pipelines, architectures and datasets.
  • Working knowledge of architectures to support advanced analytics and data science.
  • Strong analytic skills related to working with unstructured datasets.
  • Knowledge about and experience of the use of data to deliver business insights and transform delivery in an FMCG context.
  • Experience with building processes supporting data transformation, data structures, dependency, and workload management.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable data stores
  • Experience supporting and working with crossfunctional teams in a dynamic environment.
  • Understand the business problems and how to deliver relevant insights that lead to actions
  • Gather data and build data science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and/or prescriptive analytics.
  • Create experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way
  • Support product teams scaling models into lowtouch solutions to provide optimal ROI from data science.
  • Work on inmarket business problems coming from CCBTs, CD, Finance and CLT. Identify common themes to build repeatable models and partner with CD, CCBT, and Finance leadership to support 4G growth through data and analytics, and/or advance the next phase of NRM
  • Position analytics as a tradable "currency" with customers to gain a competitive advantage.
  • Drive new value from insights from connecting external and internal data sources
  • Innovate new data and analytic methodologies are driven by local needs which feed into D&A's global product pipeline

Team responsibilities you will be joining.
This team is responsible for managing the market's demand for data science, advanced analytics, and insights. It will lead data analytics, data warehousing, research development and implementation of appropriate data systems and analytic solutions.

It is also responsible for streamlining in-scope processes related to data analytics and insights generated in the market, through automating, consolidating, and eliminating them where appropriate to deliver a seamless, fast insights-generation experience using tooling provided by the Global Data & Analystcs team.


Job Profile Critical Minimum Requirements

  • Bachelor's degree or higher in Mathematics, Data Science, Engineering, Actuarial, Econometrics, Statistics, Computer Sciences (with a mathematics basis) or STEM related degree. Strong Mathematical ability is essential.
  • Minimum of years of relevant work experience.
  • B.S. or M.S. in a relevant technical field (Operations Research, Co

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