Multiple Vacancies -Econet

Econet

Engineer AI Operations

The main purpose of the job is to monitor, operate, and maintain data products and services, including but not limited to the enterprise data warehouse, data lake, ETL (extraction, transformation, loading) data pipelines, and artificial intelligence modules in production.

Duties And Responsibilities

  • Leads the design, development, and adoption of Artificial Intelligence in monitoring system operations
  • Performs descriptive analytics for anomaly detectionFirst line support of the extraction, transformation and loading (ETL) process

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  • Tests, deploys and decommissions machine learning modules
  • Supports the Data Analysts to fulfil to create of user manuals for BI Tools for self-service reporting.
  • Providing training on BI tools to Data Analysts and Scientists
  • Monitors and reviews the AI modules for expected performance and results
  • Creates and maintains data alarms dashboard
  • Monitors data feeds consistency
  • Ensure proper configuration management and change controls are implemented

Qualification And Experience

  • 6 O Levels Including Mathematics, Science and English.
  • 2 A Level passes
  • Degree in Information Systems, Computer Science, Statistics, Economics, Operations Research, Mathematics or equivalent.
  • Experience in Python, R/ any object-oriented programming and other data analysis programs
  • Ability to use SQL and Microsoft Excel to create pivot tables, graphs and charts
  • Ability to use BI tools such as PowerBI and Qlik2 to 4 years’ experience in a similar or related environment.

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  • Analytical skills that allow for the development of data-driven reports
  • Demonstrated ability to manage time and prioritize tasks to meet deadlines
  • Strong written and verbal communication skills to effectively relate data to co workers
  • Excellent critical thinking skills to help solve business problems and make decisions

How To Apply

To Apply Use Link: https://recruitment.econet.co.zw/job/engineer-ai-operations-x1/

Meta Data Analyst

The main purpose of the job is to create and normalize metadata, optimizing the interoperability of metadata among systems, and leveraging metadata to increase data discoverability and use of data collections and monitors Meta data emerging technologies. This enhances communications across within the entire business through the consistent use of metadata and shared meanings across the business.

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Duties And Responsibilities

  • Manages the enterprise Data Catalogue for the enterprise, including new feature rollouts for the various user groups across the company
  • Acts as a one of the primary contributors for the Metadata repositories as well as manage the health and wellbeing of the Metadata repositories
  • Implements and maintains the Meta Data management tool
  • Populates Metadata content and associate terms in the Business and Technical Definitions Glossary
  • Establishes repeatable, sustainable processes to maintain data and metadata.
  • Project management of metadata projects
  • Help to promote a data community comprised of both data producers and data consumers encouraging participation from the community in building out the Metadata Catalogue
  • Collaborate with Data, Analytics and Technical teams and guide them on meta data standards and the meta data tool
  • Define and design workflows in partnership with data governance team
  • Assist data Stewards to identify enterprise data requirements

Qualification And Experience

  • 6 O Levels Including Mathematics, Science and English.
  • 2 A Level passesDegree in Computer Science, Data Science, Software Engineering, ICT, or equivalent.
  • Project management certification, such as PRINCE2, PMP, plus knowledge of agile methodologies will be an added advantage.
  • Knowledge of metadata tools or master data management tools, plus any data wrangling tools is an added advantage.

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  • Knowledge of structured and unstructured data wrangling tools and techniques
  • Minimum of three (3) years in an analytics environment, working with databases or equivalent.

How To Apply

To Apply Use Link: https://recruitment.econet.co.zw/job/meta-data-analyst-x1-2/

Closing Date: 21/08/2022.

To apply for this job please visit recruitment.econet.co.zw.

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