Title of position: BI Specialist IRC20617

Core purpose of the Job:  BI Specialist

In general and under the Direct Supervision of the Marketing Business Intelligence & Reporting Manager, the role is accountable for creating value from MTN’s vast amount and variety of data using advance analytical and statistical methods and models to answer complex business questions. This will serve to aid in decision making, unlock new revenue opportunities and areas to create efficiency through deep insights. The role requires deployment of Artificial Intelligence driven by MTN’s data to create Machine learning models and solutions to deliver specific business relevant use cases.

And in particular to perform the following activities:

-Collect, store, process, and support the analysis of huge sets of data, both structured and unstructured using state-of-the-art Data mining methods

-Selecting features, building and optimizing classifiers using machine learning techniques

-Processing, cleansing, and verifying the integrity of data used for analysis

-Collaborate with business units and engineering teams to understand and prioritize company needs and devise possible solutions based on business use cases

-Create various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems to drive revenue or create cost efficiencies

-Create intuitive and appealing data visualizations using state of the art visualization tools that lead to quick insights driven decision making

-Automate regular manual tasks & time consuming activities to optimize the service level

-Automate daily check of standard report from IT to validate the accuracy of data before others BI staff are start utilising the report and develop adequate processes to cross check the ACCURACY and COMPLETENESS of IT BI outputs

-Perform simulations on various business opportunities as it may be requested, or as a result of high complexity business data computation

-Oversee management of the CDM (Customer Data Mart)

Key Performance Areas:

Task Complexity:

-Business Reporting (Daily, Weekly, Monthly, ad-hoc report, Simulation, etc.)

-Review for Accuracy and timely delivery, liaising with IT BI team to proactively manage and identify data availability, processing capability.

-Responsible for Securing procedure and scripts code for had-hoc reports and automated reports within BI & CVM team.

-Responsible for high complexity data need by Consumer segment to analysis customer behaviour, offers performance, promo take up, bundle adoption

-Lead reporting aspect validation in any BRS that should be shared with IT

-Support all CONSUMER department with on demand data

-Very proactive and anticipate on data need according to market dynamic

-Propose any new Reporting system that can help to improve customer analytics

-Development and adding of new ad’hoc Reports to Report catalogue

Supervisory / Leadership / Managerial Complexity:

-Display a positive attitude

-Identifies opportunities for improvement and makes constructive suggestions for change

Educational Requirements:

-BSC. or MS. in Computer Science, Statistics, Mathematics or equivalent practical experience

Experience:

-2 – 4 years data science working experience and with a leadership role.

-Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests

-Demonstrable skills and experience using SQL with large data sets (for example, Oracle, DB2, SQL Server)

-Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

-Experience with common data science toolkits, such as R, Weka, NumPy, MatLab

-Fluent in at least one scripting language (Shell, Python, Ruby, etc.)

-Experience with visualization tools, such as Tableau, Power BI, D3, Qlikview, Sisense

-Experience in building ETL processes (SSIS, Oracle Data Integrator; Code based)

-Good command of applied statistics skills, such as distributions, statistical testing, regression

-Good scripting and programming skills

-Good understanding of big data technologies like Hadoop

-Strong communications and interpersonal skills and quick grasps to understand business problems

KPI’s/ Quality measurements

-Timely Business Report Delivery

-Business Reports Accuracy, Availability and Continuity

-Statistical models accuracy and reliability

-Business demand/ad’hoc report management

-High complexity request management

Suitably qualified candidates interested in this position can submit an application by clicking on the « Apply » button and upload a comprehensive copy of their CV/Resume.

Closing Date: