Job Role Insights

  • Date posted

    2026-10-12

  • Closing date

    2026-10-22

  • Hiring location

    Dar es Salaam

  • Career level

    Middle

  • Qualification

    Bachelor Degree

  • Experience

    3 - 5 Years

  • Quantity

    1 person

  • Gender

    both

  • Job ID

    147965

Job Description

Organization: Yas
Position: Data Analyst - Risk and Compliance

QUALIFICATIONS AND EXPERIENCE

  • Bachelor's degree in:
    • Statistics
    • Mathematics
    • Computer Science
    • Information Systems
    • Or a related quantitative discipline
  • 5+ years of progressive data analytics experience, with at least 2 to 3 years in a telecommunications or financial services regulatory environment.

CORE RESPONSIBILITIES

  • Support the daily quality assurance programme by performing structured data analysis and audits across:
    • SIM registration controls
    • KYC completeness checks
    • Other compliance control points
  • Analyse registration datasets to identify anomalies, data gaps, and control failures across SIM Card registration, producing actionable findings with supporting evidence.
  • Monitor the barring process by ensuring the barring cycle is completed through data analysis to identify anomalies.
  • Validate that SIM registration records meet TCRA requirements, including:
    • Biometric capture
    • NIN linkage
    • Subscriber identity verification completeness
    • Other applicable requirements
  • Conduct routine and ad-hoc audits of internal compliance processes, flagging deviations from policy and tracking remediation through to closure.
  • Track fraud, KYC and AML KPIs/KRIs, producing regular intelligence reports for the Risk & Compliance team.

COMPETENCIES

  • Experience in:
    • Regulatory reporting
    • Compliance analytics
    • Risk data management
  • Advanced SQL skills, including:
    • Complex joins
    • Window functions
    • Aggregations
    • Performance optimisation
  • Proficiency in at least one scripting/programming language, with Python strongly preferred.
  • Hands-on experience with BI and visualisation tools, including:
    • Power BI
    • Tableau
    • Looker
    • Or equivalent tools

EQUAL EMPLOYMENT OPPORTUNITY

“We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices.”

Only shortlisted applicants will be contacted.

Interested in this job?

10 days left to apply

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