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Data Quality Analyst

Moniepoint · Data Governance team

  • Data Analyst
  • Lagos
  • 5+ years
Apply on Moniepoint's site Checked open on 2 Nov 2026 · No deadline given

At a glance

LocationLagosThe page does not say if the role is office-based or hybrid
TypeNot stated
Experience5+ years
PayNot statedThe page mentions pension, health insurance and a yearly bonus
DeadlineNot statedChecked open on 2 Nov 2026
FieldData AnalystData Governance team

About the company

Moniepoint describes itself as Africa's all-in-one financial platform, with payments, banking, credit and business tools. About 20 million businesses and individuals use it every month. It is Nigeria's largest merchant acquirer, and its subsidiaries process over $250 billion in digital payments a year.

Moniepoint's website

Description

The text calls this a senior post. You report to the Head of Data Governance and lead data stewards across teams. You will:

  • Set and maintain quality rules, measures and limits for key data
  • Profile data sets and trace quality problems back to their cause
  • Build scorecards and dashboards that show leaders how data quality is moving
  • Agree what good data looks like for critical fields, and lead the fixes with data owners
  • Set up data quality tools and add checks inside ETL and ELT pipelines
  • Lead a network of data stewards in areas such as Finance and Sales
  • Keep records for audits and compliance reviews, and help with metadata, lineage and classification

Qualifications & Skills

Must have 7

  • A degree in a data, computing, statistics or similar quantitative field
  • 5+ years in data quality, data governance or advanced analytics
  • Experience in a regulated sector such as financial services, fintech, telecoms or insurance
  • Advanced SQL and Python
  • Knowledge of privacy rules such as the NDPR and GDPR
  • Familiar with modern data designs such as Medallion, Data Mesh or Data Vault 2.0
  • Has mentored junior analysts or led a governance workstream

Nice to have 3

  • Hands-on time with a governance or profiling tool such as Collibra, Microsoft Purview, Informatica DQ or DataHub
  • Dashboards built in Power BI, Superset, Grafana or Metabase
  • Clear communication with both business and technical people
Exalda stand-out guide

How to stand out for this job

Written by our team from the employer's post. Work through it in order, then apply.

  1. 1What they want
  2. 2CV words
  3. 3Tailor your CV
  4. 4Tailor your portfolio
  5. 5Missing skill
  6. 6Before you apply

1What they actually want

Our plain-words read of this job. It explains the job, not the employer's own words.

This job is about making Moniepoint's data trustworthy. You decide what good data means for the key fields, write rules to test it, and track results on scorecards leaders read. When a figure goes wrong, you trace it back to its source. Then you work with the data owner and the engineers to fix it. You also lead stewards in teams such as Finance and Sales, so much of your week is spent agreeing standards with people.

Because Moniepoint is a regulated financial business, they want at least five years in data quality or governance. That experience should come from a regulated sector such as banking, fintech, telecoms or insurance. They also want strong SQL and Python, because the checks must run inside the data pipelines. So stand out by showing a quality problem you found, the rule that caught it, and how far errors fell. Mentoring juniors is worth a line too.

2Words to use in your CV

Use the words that are true for you. The dark ones matter most for this job.

  • data quality
  • data profiling
  • root cause analysis
  • data quality rules
  • scorecards
  • critical data elements
  • remediation
  • SQL
  • Python
  • data stewardship
  • data governance
  • ETL/ELT
  • NDPR / GDPR
  • Collibra / Purview / DataHub

4Tailor your portfolio

Make a copy of your portfolio for this job and lead with these three projects. Give the problem, the data, the tools and the result as a number.

  1. 01

    A data quality scorecard

    A dashboard that scores a sample data set on completeness, accuracy and timeliness.

  2. 02

    A root-cause write-up

    One messy table, the checks you ran, what caused the errors, and how you fixed them.

  3. 03

    Quality checks in a pipeline

    A Python or SQL script that tests each new data load and flags failures.

Make a copy for this jobStart from a Data Analyst template in the portfolio builder.
Make a copy

3Tailor your CV

  • Headline“Senior Data Quality Analyst | SQL, Python, Data Governance”
  • SummaryOpen with your years in data quality or governance and the regulated sector you worked in.
  • OrderPut quality rules, profiling and fixes first. Move general reporting work lower.
  • Show resultsGive one before-and-after figure, such as an error rate or a completeness score.
  • Show leadershipMention the stewards or juniors you guided, and the teams you worked with.

BeforeChecked data for errors.

AfterBuilt 40 SQL quality rules on customer data and cut duplicate records from 6% to under 1% in three months.

Example only. Use your own real numbers.

5Learn the missing skill

Live

SQL and Python for Data Analysis

Live cohort · Starts 4 Nov 2026

₦200,000 or 4 × ₦50,000

View the programme

6Before you apply

Tick each one off before you click Apply.0 of 6 done
All set?

Apply on Moniepoint's careers page

You'll leave Exalda. Your application goes straight to the employer, and we never charge you to apply.

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