CVM Specialist – Analytics

We at MTN Zambia are a purpose and value-led organization.

At MTN Zambia we believe that understanding our people’s needs and aspirations is key to creating experiences that delight you at work, every day. We are committed to fostering an environment where every member of our Y’ello Family is heard, understood, and empowered to live an inspired life.

Our values keep us grounded and moving in the right direction. Most importantly, they keep us honest. It is not something we claim to be. It is in our DNA.

As an organisation, we consider it our mission to create an exciting and rewarding place to work, where our people can be themselves, thrive in positivity and ignite their full potential. A workplace that boosts creativity and innovation, improves productivity, and ultimately drives meaningful results. A workplace that is built on relationships and achieving a purpose that is bigger than us. This is what we want you to experience with us!

Our commitments go beyond an organisational promise. It is in our leadership and managerial ethos to meaningfully partner with our employees, customers and stakeholders with a vision to realise our shared goals.

We are delighted that you are considering us as your career partner to make a mark in the world. We look forward to your application!

Job Title: CVM Specialist – Analytics

This function is responsible 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.

Under the supervision of the of the CVM & Analytics Senior Manager, below are the Key Job Responsibilities;

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;

Liaise with IT and relevant platform vendors to create and maintain 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 and base analysis for opportunities identification;

Automate regular manual tasks & time-consuming activities to optimize the service level in the CVM space;

Automate daily check of standard report from BI to validate the accuracy of data before others CVM and Products staff start utilising the report and develop adequate processes to cross check the ACCURACY and COMPLETENESS of IT and 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) and other data engineering work (NBX & ADAM);

Any other responsibilities or tasks as maybe assigned by management.

Candidate Requirements

Grade 12 certificate with 5 credits or better of which English and Mathematics are a must;

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

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 would be advantageous;

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

Candidates are mandated to answer the below on their cover page to the hiring Manager.

Values are the core of MTN Zambia’s culture. Our five values called ‘Live Y’ello’ is the force that unites and inspires each one of us to make an impact that matters in the world. So, tell us: Which one of our five Live Y’ello Values resonates most with you and why? (limit 250 words)

Lead with Care

Can-do with Integrity

Collaborate with Agility

Serve with Respect

Act with Inclusion

Note: that only shortlisted candidates will be contacted.