MTN Engineering Jobs in Accra
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
The Engineer, Data and Exploration is responsible for exploring and analysing large datasets to extract meaningful insights that drive business decisions and innovations. The role involves designing and implementing data pipelines, as well as conducting exploratory data analysis and building prototypes to test hypotheses.
The role holder is expected to work closely and collaboratively with the data scientist to translate insights into actionable recommendations and solutions. Ensuring the optimization of data processes, data quality as well as implementing best practices for data exploration and analysis.
Job Context
- Evolution and Highly Competitive Fintech Industry
- Multi-regulated and multifaceted stakeholder management
- Environmental, social and governance prioritized
- Partnerships at the core of business practices
- Increasing demand for Fintech/digital experiences decisions to keep up with customers.
- Performance driven environment
- Global and MTN Group Fintech standards and best practices
- Active media engagement and brand reputation
- Convergence in markets and exploration of non-traditional revenue streams requiring complex interpretation and structuring
- Agile ways of working
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Job Role
- Design and develop data pipelines to collect, process and store large volumes of data from various sources.
- Perform data exploratory analysis to uncover patterns, trends and flag anomalies within the data for correction.
- Build data models and prototypes to test hypothesis to support effective business decision making.
- Develop and implement algorithms and techniques to clean data and transform it for effective use and analysis for insights and reporting.
- Collaborate with data scientist and other analysts within the BI & Decision Support function to identify relevant data sources and variables for analysis.
- Conduct and ensure data quality and integrity by implementing data validation and verification procedures.
- Develop and maintain adequate documentation for data exploration processes and algorithms.
- Development of ad-hoc reports as necessary.
- Stay updated on industry best practices and emerging technologies in data engineering and exploration.
- Communicate insights and findings to stakeholders, both internal and external through reports, dashboards an other effective visualization tools.
- Where required, escalate unsolvable issues to Data Scientist in a timeous manner.
- Other tasks and duties, as assigned
Education
- Degree in Data Engineering, Computer Engineering, Data Analytics, Data Science, Mathematics, Statistics, Computer Science, Information Technology, or related field
- Postgraduate degree in similar or related field is an advantage.
Experience
- A minimum of 3 years’ total experience in Data Science / Engineering / Visualization is required.
- Experience in Fintech, banking or Telecom is preferred.
- Experience working in a global/multinational enterprise with a good understanding emerging markets is preferred.
- Experience in data analysis and management, business performance management and BI within the Fintech industry.
- Knowledge of modern Big Data platforms and Open-Source solutions to database, data analysis, and data management.
- Deep knowledge and experience in data reporting/visualization tools (Power BI, Tableau, etc.).
- Deep knowledge and experience in data analytics tools (SQL, Python, SAS, etc.).
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Knowledge
- Big data and analytics
- Data mining & modelling
- Data interpretation
- Data visualization & Reporting
- Statistical Analysis
- Quantitative Analytics
- Forecasting/predictive Analytics,
- Multivariate testing & optimization algorithm
- Business intelligence systems and tools
- Data science toolkits (SAS, R, SPSS)
Must live the MTN Values of
- Lead with Care, Collaborate with Agility, Serve with Respect, Can Do with Integrity, Act with Inclusion
Must exhibit the MTN Vital Behaviors of
- Complete Candor, Complete Accountability, Active Collaboration & Get it done.
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
The Engineer, Data and Exploration is responsible for exploring and analysing large datasets to extract meaningful insights that drive business decisions and innovations. The role involves designing and implementing data pipelines, as well as conducting exploratory data analysis and building prototypes to test hypotheses.
The role holder is expected to work closely and collaboratively with the data scientist to translate insights into actionable recommendations and solutions. Ensuring the optimization of data processes, data quality as well as implementing best practices for data exploration and analysis.
Job Context
- Evolution and Highly Competitive Fintech Industry
- Multi-regulated and multifaceted stakeholder management
- Environmental, social and governance prioritized
- Partnerships at the core of business practices
- Increasing demand for Fintech/digital experiences decisions to keep up with customers.
- Performance driven environment
- Global and MTN Group Fintech standards and best practices
- Active media engagement and brand reputation
- Convergence in markets and exploration of non-traditional revenue streams requiring complex interpretation and structuring
- Agile ways of working
ADVERTISEMENT - CONTINUE READING BELOW
Job Role
- Design and develop data pipelines to collect, process and store large volumes of data from various sources.
- Perform data exploratory analysis to uncover patterns, trends and flag anomalies within the data for correction.
- Build data models and prototypes to test hypothesis to support effective business decision making.
- Develop and implement algorithms and techniques to clean data and transform it for effective use and analysis for insights and reporting.
- Collaborate with data scientist and other analysts within the BI & Decision Support function to identify relevant data sources and variables for analysis.
- Conduct and ensure data quality and integrity by implementing data validation and verification procedures.
- Develop and maintain adequate documentation for data exploration processes and algorithms.
- Development of ad-hoc reports as necessary.
- Stay updated on industry best practices and emerging technologies in data engineering and exploration.
- Communicate insights and findings to stakeholders, both internal and external through reports, dashboards an other effective visualization tools.
- Where required, escalate unsolvable issues to Data Scientist in a timeous manner.
- Other tasks and duties, as assigned
Education
- Degree in Data Engineering, Computer Engineering, Data Analytics, Data Science, Mathematics, Statistics, Computer Science, Information Technology, or related field
- Postgraduate degree in similar or related field is an advantage.
Experience
- A minimum of 3 years’ total experience in Data Science / Engineering / Visualization is required.
- Experience in Fintech, banking or Telecom is preferred.
- Experience working in a global/multinational enterprise with a good understanding emerging markets is preferred.
- Experience in data analysis and management, business performance management and BI within the Fintech industry.
- Knowledge of modern Big Data platforms and Open-Source solutions to database, data analysis, and data management.
- Deep knowledge and experience in data reporting/visualization tools (Power BI, Tableau, etc.).
- Deep knowledge and experience in data analytics tools (SQL, Python, SAS, etc.).
ADVERTISEMENT - CONTINUE READING BELOW
Knowledge
- Big data and analytics
- Data mining & modelling
- Data interpretation
- Data visualization & Reporting
- Statistical Analysis
- Quantitative Analytics
- Forecasting/predictive Analytics,
- Multivariate testing & optimization algorithm
- Business intelligence systems and tools
- Data science toolkits (SAS, R, SPSS)
Must live the MTN Values of
- Lead with Care, Collaborate with Agility, Serve with Respect, Can Do with Integrity, Act with Inclusion
Must exhibit the MTN Vital Behaviors of
- Complete Candor, Complete Accountability, Active Collaboration & Get it done.
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