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Jobs in Tanzania 2020: New Jobs Vacancies at VODACOM Tanzania 2020
AJIRA TANZANIA 2020 / NAFASI ZA KAZI 2020
Job Tittle: M-Pesa Decision Scientist
Posting Country: Tanzania, United Republic of
Posting Country: Tanzania, United Republic of
Date Posted: 19-Mar-2020
Full Time / Part Time: Full Time
Contract Type: Permanent
Contract Type: Permanent
Recommended:
Joining Vodacom
is more than a job, what we do matters. We don’t just carry minutes,
texts and data – we carry people’s lives. And that’s a huge
responsibility. If you think for a minute about the people you rely
on…the likelihood is they rely on us.
Customers
are at the heart of everything we do and we want to make a difference
to the lives of our customers, and the communities in which we live and
work. We support our people to give something back to the causes that
mean the most to them through helping them give time and money to the
charities they love.
And
what’s it like to work here? We have created an environment where you
can look forward to coming to work and are empowered to be at your best.
We offer flexibility in how you work that helps you do your job in a
way that suits you, opportunities to help you grow and progress
throughout your career and a choice of benefits to suit your lifestyle.
Recommended:
Free CV Writing and Download, Cover/Job Application Letters, Interview Questions and It's Best Answers plus Examples. Click Here!
Description
Role purpose:
To develop fit-for-purpose predictive and affordability models, execute and analyse our markets to determine the most effective way to increase customer base whilst minimizing customers at risk of churning, increase customer acquisition, conversion and retention; cross selling and upselling, customer behaviour segmentation, analyse customer feedback from call centre, social network analysis. Increase of M-Pesa product penetration, customer engagement, increase M-Pesa ARPU and sharing insights.
Recommended:
CHECK SCHOLARSHIPS OPPORTUNITIES TO STUDY ABROAD CLICK HERE!
Key accountabilities
• Use an agile approach to determine the best use of data to develop predictive models and perform analysis in line with business requirements (e.g. customer churn; customer acquisition and retention; cross selling and upselling; customer behaviour segmentation; analyse customer feedback from call centre, social network analysis; etc.)
• Develop data processes to mine value from a variety of data sources that include high-volume, transactional-level data.
• Provide analytical support to various other business teams.
• Collaborate with reporting team, business development team, product engineers, and CBU where necessary to facilitate data analysis.
Recommended:
Core competencies, knowledge and experience
• Domain knowledge and passionate about the mobile money business, curious about data.
• A mixture of multidisciplinary skills ranging from an intersection of computer science, mathematics, statistics, communication and business.
• Experience in mining and extracting valuable information from large data sets.
• Experience in mobile money data analytics and reporting.
• Machine learning and statistical modelling (supervised and unsupervised learning)
Technical / professional qualifications:
• A degree in Mathematics, Statistics, Computer science, Data science or similar.
• Programming and Database: Python, r, SQL and NoSQL, Oracle;
• Advanced excel.
Read Also:
Business Partnering
Business Acumen
Strategy and Vision
Data Driven Decision Making
Expert Communication
Free CV Writing and Download, Cover/Job Application Letters, Interview Questions and It's Best Answers plus Examples. Click Here!
Description
Role purpose:
To develop fit-for-purpose predictive and affordability models, execute and analyse our markets to determine the most effective way to increase customer base whilst minimizing customers at risk of churning, increase customer acquisition, conversion and retention; cross selling and upselling, customer behaviour segmentation, analyse customer feedback from call centre, social network analysis. Increase of M-Pesa product penetration, customer engagement, increase M-Pesa ARPU and sharing insights.
Recommended:
CHECK SCHOLARSHIPS OPPORTUNITIES TO STUDY ABROAD CLICK HERE!
Key accountabilities
• Use an agile approach to determine the best use of data to develop predictive models and perform analysis in line with business requirements (e.g. customer churn; customer acquisition and retention; cross selling and upselling; customer behaviour segmentation; analyse customer feedback from call centre, social network analysis; etc.)
• Develop data processes to mine value from a variety of data sources that include high-volume, transactional-level data.
• Provide analytical support to various other business teams.
• Collaborate with reporting team, business development team, product engineers, and CBU where necessary to facilitate data analysis.
Recommended:
Core competencies, knowledge and experience
• Domain knowledge and passionate about the mobile money business, curious about data.
• A mixture of multidisciplinary skills ranging from an intersection of computer science, mathematics, statistics, communication and business.
• Experience in mining and extracting valuable information from large data sets.
• Experience in mobile money data analytics and reporting.
• Machine learning and statistical modelling (supervised and unsupervised learning)
Technical / professional qualifications:
• A degree in Mathematics, Statistics, Computer science, Data science or similar.
• Programming and Database: Python, r, SQL and NoSQL, Oracle;
• Advanced excel.
Read Also:
Business Partnering
Business Acumen
Strategy and Vision
Data Driven Decision Making
Expert Communication
Commitment from Vodacom
Vodacom is committed to attracting, developing and retaining the very best people by offering a flexible, motivating and inclusive workplace in which talent is truly recognized, developed and rewarded. We believe that diversity plays an important role in the success of our business and we are committed to creating an inclusive work environment which respects, values, celebrates and makes the most of people’s individual differences – we are not only multinational but multicultural too. At Vodacom you will have access to our excellent flexible benefits programme that you would expect from any global company.
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