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Data Analytics Coordinator

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Run data-driven credit risk assessments on customer profiles and repayment histories

  • Monitor loan portfolios via dashboards for delinquency trends and aging reports

  • Flag early-warning signals and accounts needing proactive intervention

  • Keep accurate, well-structured digital records of credit decisions for audits

From the employer’s posting
Conduct data-driven credit risk assessments by analyzing customer profiles, repayment histories
Continuously monitor loan and credit portfolios through dashboards, tracking repayment behavior, delinquency trends, credit limits, and aging reports.
Identify early-warning signals using portfolio analytics and flag accounts requiring proactive intervention.
Maintain accurate, well-structured digital records of credit decisions, supporting full audits.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree or diploma in Finance, Accounting, Business Administration, or a related field.
  • Proven experience in software related skills primarily in Microsoft Excel.
  • Knowledge of credit risk management principles, policies, and procedures.
  • Excellent communication and interpersonal skills.
  • Proficiency in using financial analysis software and Microsoft Office Suite.
  • Ability to work independently and as part of a team in a fast-paced environment.
Qualification wording
Bachelor's degree or diploma in Finance, Accounting, Business Administration, or a related field.
Proven experience in software related skills primarily in Microsoft Excel. Other related programs such as Power BI, Tableau, Google Collab, Looker Studio and Python are an advantage.
Knowledge of credit risk management principles, policies, and procedures.
Excellent communication and interpersonal skills.
Proficiency in using financial analysis software and Microsoft Office Suite.
Ability to work independently and as part of a team in a fast-paced environment.
Education & alternatives
Qualifications and Skills: - Bachelor's degree or diploma in Finance, Accounting, Business Administration, or a related field. - Proven experience in software related skills primarily in Microsoft Excel. Other related programs such as Power BI, Tableau, Google Collab, Looker Studio and Python are an advantage.
Apply at VITALITE Malawi

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 5 and day 41.

From 10,558 similar postings that came down. Coming down is not always a hire.

VITALITE Malawi is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Excel
  • Looker
  • Power BI
  • Tableau
Where the posting names them
- Bachelor's degree or diploma in Finance, Accounting, Business Administration, or a related field. - Proven experience in software related skills primarily in Microsoft Excel. Other related programs such as Power BI, Tableau, Google Collab, Looker Studio and Python are an advantage. - Strong analytical skills, with the ability to interpret financial data and assess creditworthiness.

Your next step

Complete your application on vitalitemw.zohorecruit.com. The employer’s form will show what is required.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Company Overview:

VITALITE Group Ltd is a leading renewable energy company dedicated to improving access to clean and affordable energy solutions for households and businesses in Malawi. Our mission is to transform lives and communities by providing innovative, reliable, and sustainable energy products and services.

Job Summary:

We are looking for candidates who get EXCITED ABOUT DATA. The Data Analyst will play a vital role in assessing and managing credit risks associated with our customer base. This position requires analyzing loan portfolio data, monitoring customer repayments, and providing support to the wider team by training staff and assisting when necessary. Above all we are looking for candidates with great attitudes, coachable, willingness to contribute, and ability to communicate. 

 

Responsibilities:

Credit Data Analysis & Risk Evaluation

  • Conduct data-driven credit risk assessments by analyzing customer profiles, repayment histories, financial documents, and credit application data.
  • Use dashboards and analytical tools to evaluate creditworthiness and identify high-risk customer segments.
  • Ensure all assessments align with internal credit policies, risk frameworks, and regulatory requirements.
  • Maintain accurate, well-structured digital records of credit decisions, supporting full audits.

Portfolio Monitoring & Performance Insights

  • Continuously monitor loan and credit portfolios through dashboards, tracking repayment behavior, delinquency trends, credit limits, and aging reports.
  • Identify early-warning signals using portfolio analytics and flag accounts requiring proactive intervention.
  • Work closely with teams by providing data insights that inform collection strategies and customer follow-up prioritization.
  • Support customer communication by providing data-backed updates on account performance, payment patterns, and credit terms.

Pricing & Product Analysis

  • Analyze product pricing models, repayment structures, and financing terms to assess profitability and risk exposure.
  • Use data to recommend pricing adjustments, optimize loan products, and improve customer affordability while protecting portfolio health.

Training & Operational Support

  • Train call center and field teams on data-driven credit processes, system usage, and dashboard interpretation.
  • Support call center operations during high-volume periods, providing expertise on credit-related escalations.
  • Resolve customer credit issues using insights from system data and risk analysis.

Reporting, Dashboards & Strategic Insights

  • Develop and update dashboards tracking key credit metrics such as delinquency rates, aging buckets, write-offs, and portfolio growth.
  • Prepare periodic analytics reports for management, highlighting trends, risks, and performance opportunities.
  • Conduct deeper statistical and portfolio analyses to identify behavioral patterns, operational bottlenecks, and areas for process improvement.
  • Contribute to the design and implementation of data-driven credit risk strategies and portfolio optimization initiatives.

 

 

 

 

 



Requirements

Qualifications and Skills:

  • Bachelor's degree or diploma in Finance, Accounting, Business Administration, or a related field.
  • Proven experience in software related skills primarily in Microsoft Excel. Other related programs such as Power BI, Tableau, Google Collab, Looker Studio and Python are an advantage. 
  • Strong analytical skills, with the ability to interpret financial data and assess creditworthiness.
  • Knowledge of credit risk management principles, policies, and procedures.
  • Excellent communication and interpersonal skills.
  • Proficiency in using financial analysis software and Microsoft Office Suite.
  • Detail oriented with strong organizational and time management abilities.
  • Ability to work independently and as part of a team in a fast-paced environment.


Source details

View original posting ↗

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Location & working pattern

Lilongwe City, Malawi

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