Data Analyst

Data Analyst

Location: Lagos

Employment Type: Full-time

Role Overview

• Our client is looking for a highly analytical and commercially minded Data Analyst to support data-driven decision-making across payment, remittance, collection, and operational platforms.
• The successful candidate will be responsible for collecting, analysing, interpreting, and presenting data to generate actionable business insights.
• This role requires strong practical expertise in SQL, data analysis, and business intelligence tools, with the ability to work with large transaction datasets and transform raw data into meaningful dashboards, reports, and recommendations.
• This is not a purely reporting-focused position.
• The ideal candidate must understand the business context behind the data, identify trends, investigate anomalies, and provide insights that improve business performance, customer experience, operational efficiency, and revenue.

Key Responsibilities

Data Analysis & Reporting:

• Extract, clean, analyse, and interpret large datasets from multiple systems and databases.
• Write and optimise complex SQL queries for reporting, analysis, and data validation.
• Analyse transaction volumes, values, revenue, customer activity, merchant performance, and operational trends.
• Develop daily, weekly, and monthly management reports.
• Provide management with clear insights into business performance and emerging trends.
• Conduct ad-hoc analysis to support management and business teams.

Business Intelligence & Dashboards:

• Design and maintain interactive dashboards using Power BI, Tableau, Looker Studio, Metabase, or similar BI platforms.
• Build executive dashboards highlighting key business KPIs and performance trends.
• Automate recurring reports and data processes wherever possible.
• Develop clear and effective data visualisations that support informed decision-making.

Payments & Transaction Analytics:

Analyse payment and remittance data across areas including:

• Transaction volume and value
• Revenue and transaction success rates
• Failed and pending transactions
• Processing times
• Payment channels and processors
• Merchant performance
• Remittance corridors
• Payout partners
• Customer activity
• Settlement and reconciliation trends
• Identify unusual patterns, transaction anomalies, and potential operational issues.

Data Quality & Reconciliation:

• Monitor data quality across business systems.
• Identify inconsistencies, missing records, and data anomalies.
• Support Finance and Operations teams with transaction reconciliation.
• Validate data across payment processors, bank accounts, wallets, and internal systems.
• Collaborate with Technology teams to investigate and resolve data discrepancies.

Commercial & Performance Analysis:

Provide actionable insights into:

• Revenue and customer growth
• Merchant growth and product utilisation
• Transaction behaviour
• Country and partner performance
• Payment-channel performance
• Transaction costs and profitability
• Customer retention
• Operational efficiency
• Support forecasting, budgeting, and strategic decision-making through accurate and timely data analysis.

Management Reporting:

Prepare and support executive reporting, including:

• Weekly business performance dashboards
• Monthly management reports
• Revenue and transaction trend analysis
• Country and product performance reports
• Partner and merchant performance reports
• Customer behaviour analysis

The role will collaborate closely with Technology, Operations, Finance, Product, Compliance, and Management teams.

Candidate Requirements

• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Economics,  Engineering, Information Systems, Finance, or a related discipline with 2 – 4 years of relevant professional experience in data analysis, business intelligence, or a related field.
• Strong SQL experience is mandatory.
• Excellent analytical and problem-solving skills.
• Proven experience developing dashboards and management reports.
• Ability to analyse large datasets and identify meaningful patterns and trends.
• Strong attention to detail and commitment to data accuracy.
• Ability to communicate complex analytical findings in clear business language.
• Ability to work effectively in a fast-paced and evolving environment.
• Ability to work independently while collaborating effectively across multiple departments.

Required Technical Skills:

SQL:

Strong SQL proficiency is essential. Candidates should be comfortable with:

• Complex queries
• Joins
• Subqueries
• Common Table Expressions (CTEs)
• Aggregate functions
• Window functions
• Data validation
• Query optimisation
• Analysis of large datasets

Experience with PostgreSQL, MySQL, Microsoft SQL Server, Oracle, or similar relational databases is desirable.

Business Intelligence:

Strong practical experience with at least one of the following:

• Power BI
• Tableau
• Looker Studio
• Metabase
• Similar BI and reporting platforms

Microsoft Excel:

Advanced Excel proficiency, including:

• Pivot Tables
• XLOOKUP/VLOOKUP
• Power Query
• Advanced formulas
• Data modelling
• Charts and dashboards

Additional Advantage:

Experience with any of the following will be an added advantage:

• Python
• Pandas
• NumPy
• Jupyter
• APIs
• ETL tools
• Data warehouses
• AWS analytics tools
• BigQuery
• Snowflake
• Databricks

Preferred Industry Experience:

Experience in any of the following industries will be an advantage:

• Fintech
• Payments
• Banking
• Remittance
• Mobile Money
• Payment Processing
• Financial Services
• E-commerce
• Telecommunications

Candidates with experience analysing high-volume transaction data will be particularly attractive.

Key Performance Indicators

Performance in the role may be assessed based on:

• Accuracy and reliability of reports and dashboards
• Timeliness of management reporting
• Quality and efficiency of SQL queries and analysis
• Reduction in manual reporting processes
• Improvement in data quality
• Ability to identify business and transaction anomalies
• Quality and commercial relevance of insights provided to management
• Adoption and utilisation of dashboards by business teams
• Improved visibility of critical business KPIs

Salary

N400,000 - N600,000 monthly.

Application Closing Date

Not Specified.

How to Apply

Interested and qualified candidates should send their updated CV to: breezydigitalsolutions@gmail.com using "Application – Data Analyst" as the subject of the email.