Senior Specialist - Data Engineering and Analytics Technology Information at MTN

Job Description

Key Performance Areas

Data Engineering

• Define and implement data marts based on system requirements and business requirements
• Perform ad-hoc analyses of data from organization database technologies, write SQL scripts, procedures, packages, functions, and views.
• Work with the team in the designing of databases and data models to ensure interoperability.
• Enable and drive data migrations across different data lake platforms and different servers, for example Oracle and Big data.
• Troubleshoot data issues within the business systems and across the business source systems and provide guidance and/or presents solutions to these issues.
• Review the impact that possible code changes may have on system performance.
• Design and develop programs to deliver project requirements or enhancements to existing programs.
• Collaborate with assigned business units to understand their analytics needs and devise possible solutions.
• Asist the testing team to develop test plans to verify logic of new or modified programs.
• Build efficient and re-usable services that can be reused to deliver requirements from different business units or projects.
• Provide input on the improvement system maintenance, performance and support initiatives.
• Mentor junior staff to ensure get opportunities to apply the developer skills that they have learnt.
• Maintain organizational intellectual property through documenting of solutions on the organization’s wiki platform.
• Knowledge Sharing through forum presentations and internal training
• Participate in sprint meetings and be willing to adopt agile. 

Customer

• Understand the business intelligence requirements of the assigned business unit
• Collate all inputs necessary to support Business requirements
• Collect, monitoring and analyse large volumes of fast-changing data to support operational processes
• Partner with the business and ensure in-depth understanding of key drivers in order to drive quality data analytics
• Ensure that EIS (recruiting department) and data quality initiatives are implemented in the relevant business units
• Educate the business on BI, champion and drive BI self service 
• Arrange regular sessions with customers to inform, educate and facilitate feedback
• Be the single point of contact for Business intelligence for the assigned business unit, ensuring liaison between business, enterprise information and BI centre of excellence
• Adopt a proactive approach to prevent problems from arising in the future
• Build and maintain solid relationships with business unit stakeholders

Quality Management

• Work consistently according to standard operating procedures
• Understand and communicate the consequences of not maintaining data quality 
• Identify areas where the quality of reporting and analytics may be improved
• Analyse situations and take necessary action to ensure quality is maintained
• Seek feedback from clients/ stakeholders and continuously seek ways of improving on quality
• Monitor daily trends to ensure data quality is sufficient to ensure accurate reporting and analytics.

Advanced Analytics and Data Science:

• Good understanding of all machine learning fundamentals
• Enjoy coding in one of or all of SAS or Python
• Work with both SQL and NoSQL databases
• Work with Big-data stores such as Hadoop via Hive, Spark etc.
• Implement deep-learning algorithms to solve real business problems
• A data storyteller, you are happy communicating your findings via dashboarding (Tableau, Power BI) or through presentation (Excel, PowerPoint)
• Strong written and verbal communication skills

Analytics and Reporting

• Analyse functional requirements and translate them into task specifications for the development process.
• Design and develop programs using to deliver project requirements or enhancements to existing programs.
• Collaborate with assigned business units to understand their analytics needs and devise possible solutions.
• Support project teams using the required data analysis skills and analytics technologies
• Build efficient and re-usable services that can be reused to deliver requirements from different business units or projects.
• Provide support in identifying, evaluating and deploying solutions that meet business requirements.
• Assist the testing team to develop test plans to verify logic of new or modified programs.
• Knowledge Sharing through forum presentations and internal training.
• Maintain organizational intellectual property through documenting of solutions on the organization’s wiki platform.
• Follow Agile methodology and participate in SCRUM meetings.

Strategic Input

• Continuously review and improve processes in order to optimize outputs.
• Continuously assess risk and implement mechanisms and processes to overcome these risks.
• Drive the development of goals, tactical strategies, and plans needed to achieve the portfolio’s vision and build the capabilities to enable optimal delivery with input from relevant stakeholders.
• Assist in the enablement of a self-service philosophy
• Provide input to the technology roadmap defined by Group Technology and help Enterprise Information Systems within IS to define standards

Tactical Planning and Operations 

• Devise, share, and execute annual EIS plans
• Work closely with EIS Solution Architects to ensure solutions are aligned to Infrastructure Architecture.
• Provide operational leadership to the team, in line with business requirements, technology standards and best practices within the business intelligence function.
• Engage with other operations to extract potential benefits and efficiencies achieved at a technical implementation and/or process layer.
• Ensure that vendor and 3rd party developers are developing applications that comply with business specifications and implemented according to approved quality standards.
• Provide consultation for all applications related projects so that decisions can be made as to the most appropriate delivery methodology
• Provide a quick reaction task force to attend to major EIS incidents with a view to improving on systems design and stability
• Continuously review, improve and integrate processes, in order to optimize outputs and overcome fragmentation.
• Ensure that Capacity planning for special events or increasing traffic volumes happens with documentation 

Financial

• Work closely with Infrastructure Architecture to ensure that licensing is optimally consolidated.
• Provide input to CAPEX Plans for the area 
• Provide input to compile and manage CAPEX and OPEX budgets relating to functional activities
• Support the creation of the business case for initiatives and projects in functional areas

Qualifications

Job Requirements

Education (Essential):

• 3+ year Degree / Diploma in Computer Science, Engineering, Mathematics, Statistics or related quantitative field
• 4+ year, MSc or PhD degree in Computer Science, Engineering, Mathematics, Statistics or related quantitative field (advantage) 

Experience: 

• At least 5+ years programming and analytics experience in the BI environment
• At least 2 years of leadership experience
• Good understanding of all aspects of BI and Information Management processes.
• Experience in a telecommunications environment highly preferred
• Project management and business optimisation experience would be advantageous
• Exposure to managing external vendor/supplier relationships and service level agreements
• Track record of self-development and improvement