Data Science and Business Process Engineering
Johannesburg, South Africa
Is this you?
We are looking for a multifaceted Senior Consultant who is well-versed in Data Science and Business Process Engineering for our Johannesburg office. The ideal candidate will possess a unique blend of analytical prowess and process improvement acumen, capable of dissecting complex data to streamline and enhance business operations.
Role and responsibility
- Lead initiatives to analyze business processes, identify inefficiencies, and use data-driven insights to drive process improvements.
- Design and implement data analytics strategies that align with business process reengineering goals.
- Utilize advanced analytics and statistical methods to understand process bottlenecks and develop solutions to enhance performance.
- Collaborate with cross-functional teams to integrate data science methodologies with business process management.
- Develop predictive models to simulate process changes and forecast the impacts on business performance.
- Facilitate workshops and training sessions to educate stakeholders on the importance of data analytics in process optimization.
- Create and maintain documentation on process changes, data findings, and the impact on business outcomes.
- Drive the adoption of process automation tools and techniques, leveraging data science to support decision-making.
- Communicate complex analytical results and process engineering concepts in a clear and actionable manner to stakeholders at all levels.
Qualification and experience
- Bachelor’s or master’s degree in Data Science, Industrial Engineering, Business Analytics, or a related field.
- Minimum of 3 years of experience in data science and analytics related projects including business process analysis.
- Experience in business process reengineering, workflow optimization, or similar roles.
- Experience with data modelling, machine learning, and analytics tools (e.g., Python, R, SQL, Tableau, Power BI).
- Familiarity with process mapping and business process management tools and methodologies.
Skills and competencies
- Strong analytical skills with the ability to interpret complex data and turn it into actionable insights.
- Expertise in business process analysis and reengineering techniques.
- Proficient in data science and machine learning techniques with the ability to apply these skills to improve business processes.
- Excellent communication and interpersonal skills, with the ability to lead change and influence at all organizational levels.
- Strong project management skills, with the ability to lead projects to successful completion within scope and budget.
- A strategic thinker with a continuous improvement mindset.
Contact us
To apply for this role, please send your CV with a cover letter to Palesa Letsoisa at [email protected]. Should you not hear from us within three weeks, please consider your application unsuccessful.