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Vodafone

Merchant CVM Analyst

Location:  Dar Es Salaam, Tanzania, United Republic of
Location flexibility:  Office based
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Job Description

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Role Purpose:
Deliver performance insights from merchant and channel data to support business growth and decision-making. Co-create advanced Machine Learning solutions that increase revenue, reduce costs, and improve customer experience, while strengthening Machine Learning capabilities across M-Pesa and Vodafone globally.
Key accountabilities and decision ownership:
• Develop data solutions through SQL, ETL, dashboards, and reporting.
• Monitor business performance through KPI tracking and channel analytics.
• Generate actionable insights to drive growth and business decisions.
• Lead campaign and commercial analytics including rewards, payouts, and performance reviews.
• Build and deploy Machine Learning solutions that improve revenue, efficiency, and customer experience.
Core competencies, knowledge and experience:
• Excellent analytical, logical and casual reasoning skills.
• Advanced SQL expertise for query optimization and data extraction across multiple sources.
• Proven ability to design, build, and maintain BI dashboards and reports using tools such as Power BI, Tableau, or Looker.
• Commercial acumen and business‑oriented mindset to identify opportunities, performance gaps, and customer value drivers.
• Effective communication and ability to anticipate customer, competitor and market dynamics

Must have technical / professional qualifications:
• 4+ years of experience in similar big data and data science role.
• Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering, Artificial Intelligence, Data Journalism, or related fields
• Significant knowledge of customer driven marketing techniques and processes
• Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments Design.

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.

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2 office days / week

A little flex time

Company benefits

UK (28), India (22), Egypt (21), Hungary (20), Romania (20), Albania (22), Turkey (14) days annual leave + bank holidays
Work from anywhere scheme – work for up to 20 days/year abroad (dependant on country)
Annual bonus – dependant on company performance
Employee discounts
Personal development days – once per quarter
Learning platform – access to Harvard Business Publishing, MIT Horizon and Skillsoft
Enhanced maternity leave – 16 weeks (paid) with a phased return to work over 6 months
Enhanced paternity leave – 16 weeks (paid) with a phased return to work over 6 months
Volunteer days – up to 5 days
Coaching – access to a free certified internal pool of coaches
Mentoring
Carer’s leave
Adoption leave – 16 weeks (paid) with a phased return to work over 6 months
Enhanced sick days
Mental health platform access
Mental health first aiders
Employee assistance programme
Complimentary Medical Services – 24/7 online doctor service
Compassionate leave
Home office set up
Buddy scheme
Referral bonus
Early finish Fridays
Buy or sell annual leave
Cycle to work scheme
Life insurance
Sabbaticals
Salary sacrifice
Share options
Teambuilding days
Faith rooms
Enhanced pension match/contribution
Learning license

Awards & Accreditations

1st – Most loved - Large companies

1st – Most loved - Large companies

Flexa awards 2026
1st - Most Inclusive Company

1st - Most Inclusive Company

Flexa awards 2026
Most Flexible Company

Top 5 - Most Flexible Company

Flexa awards 2026
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Company employees:

85,887

Gender diversity (m:f):

61:39

Hiring in countries

Albania

China

Czechia

Democratic Republic of the Congo

Egypt

Germany

Greece

Hungary

India

Ireland

Italy

Luxembourg

Malaysia

Portugal

Romania

South Africa

Spain

Taiwan

Tanzania

Türkiye

United Kingdom

United States

Office Locations