Data Analyst Parrow - South Africa
Innovative Recruitment
The delivery of reliable, on-time, efficient & high-quality data analytics solutions and professional services that will enable the client to make faster and more informed decisions based on insights generated from this capability The team to achieve joint targets and deliverables • Reliable, On-Time, Efficient & Quality Delivery as per the chosen process & tooling • Mitigation plans are in place for work items that are not going to be delivered according to the estimated timeline • Insights are always rigorously tested and approved before releasing to Client • People & Culture: • Build and maintain a healthy working relationship within the team • Actively participate and contribute to continuous knowledge sharing initiatives • Actively participate and contribute to continuous improvement initiatives • Process and delivery: • Reliably deliver on your sprint backlog • Ensure efficiency through accurate work estimates and completion of work against estimates as per sprint plan • Ensure quality of deliverables. • Ensure processes & tooling are used effectively • Technology and standards (Where applicable): • Define, document and communicate design patterns • Ensure the definition, documentation and communication of solution designs before implementation • Ensure as-built documentation is done according to standards, and is continuously updated to ensure accuracy • Ensure that work is completed against the agreed Definition of Done • Ensure the WIKI is updated for content correctness and structure • Adhere to source code management practices • Adhere to quality assurance practices • Adhere to: all corporate governance, processes, procedures and statuary, legal and other requirements Relevant BSc, BCom, BEng (Essential/Minimum) • Minimum Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming and statistical computer languages (R, Python , SQL, etc.) • Working knowledge of Business Intelligence principles & best practices Behavioral Competencies: • Client centricity • Improvement orientation • Interpersonal effectiveness • Deciding and Initiating Action • Adapting and Responding to Change • Coping with Pressures and Setbacks • Presenting and Communicating Information • Relating and Networking • Adhering to Principles and Values • Technical Competencies: • Excellent analytical and problem-solving skills • Strong communication skills • Strong relationship building skills • Excellent planning, time management and organisational skills • Knowledge of statistical modelling and data mining techniques i.e. Regression, • Random Forest, Boosting, Trees, text mining, social network analysis etc. • Querying databases using statistical computer languages i.e. R, Python, SQL, • etc. • Knowledge of machine learning algorithms
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