Data & Analytics Manager at Axian Group
Job Role Insights
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Date posted
2026-05-22
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Closing date
2026-06-04
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Hiring location
Dar es Salaam
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Career level
Senior
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Qualification
Bachelor Degree Master’s Degree
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Experience
8 Years
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Quantity
1 person
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Gender
both
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Job ID
132517
Job Description
(Woman or Man)
Company: AXIAN Telecom – Digibank & Fintech
Job Overview
We are hiring a Data & Analytics Manager to lead and manage enterprise-level data architecture, analytics, and migration initiatives across fintech and digital banking platforms.
Locations
Antananarivo (Madagascar) • Islamabad (Pakistan) • Dar es Salaam (Tanzania)
Candidate Profile
- Bachelor’s or Master’s Degree in Computer Science, Information Systems, Data Engineering, Statistics, Mathematics, or a related field
- Minimum of 8 years of experience in:
- Data engineering
- Data architecture
- Data delivery roles
- At least 3 years of experience in fintech, mobile money, digital banking, or telecom
- Hands-on experience owning enterprise data architecture (conceptual, logical, and physical data models)
- Proven experience leading data migration in large-scale platform deployments (preferably core wallet or core banking systems)
- Experience setting up analytics, business intelligence (BI), and regulatory reporting on new core platforms
- Experience working across African markets, preferably multi-country
- Strong understanding of data protection and reporting regulations
Key Responsibilities (Your Challenges)
- Own and maintain current-state data architecture across legacy wallet and banking platforms, including:
- Data models
- Data flows
- Interfaces and data lineage
- Design and maintain target-state data architecture across:
- Core wallet platform
- Ecosystem systems (LMS, payment gateways, card management, agent management, KYC/AML, GL, reporting)
- Define and execute end-to-end data migration strategies, including:
- Data profiling
- Extraction, mapping, transformation, and cleansing
- Data loading and reconciliation
- Parallel run, cutover, and rollback
- Establish data quality frameworks and KPIs:
- Completeness
- Accuracy
- Consistency
- Timeliness
- Uniqueness
- Validity
- Define and enforce data protection standards:
- Encryption (at rest and in transit)
- Key management
- Data masking and tokenization
- Secure handling of PII and financial data
- Ensure smooth handover of BI/analytics tools and processes to BAU (Business-As-Usual) teams
- Manage data migration teams and third-party vendors:
- Ensure delivery against SOWs
- Meet SLAs and quality standards
Closing Note
If this role fits your profile, grow with us.
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