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Data Analyst at PayTech Group

Posted on Mon 14th Apr, 2025 - hotnigerianjobs.com --- (0 comments)


At PayTech Group, we are leading the charge in driving innovation and delivering cutting-edge solutions in the dynamic payments industry. Our portfolio of companies offers specialized consulting, training, recruitment & contracting, advanced analytics tools, AI-driven solutions and more.

We are the go-to partner for businesses worldwide, providing the expertise and forward-thinking approach needed to navigate the complexities of the digital payments landscape.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Lagos, Nigeria
Work type: Full Time
Term of Duration: 3 months
Division: Services

Purpose of Job

  • The Data Analyst will be responsible for reviewing, maintaining, and enhancing system scripts and processes to extract, validate, and prepare and extract data and build segmentation model. 
  • The analyst will ensure that the data required for the project is accurate, compliant, and submitted in a timely manner.

Core Responsibilities and Accountabilities

  • Review and analyze system scripts responsible for extracting data from various internal systems.
  • Ensure that scripts and queries are correctly pulling the required customer data.
  • Work closely with IT and operations teams to optimize and automate the data extraction process.
  • Prepare and structure data to meet Mastercards required formats and reporting standards.
  • Validate data integrity and accuracy by conducting reconciliations and quality checks before submission.
  • Develop new or enhance existing system scripts, SQL queries, and automation processes for efficient data extraction.
  • Troubleshoot and resolve any issues related to scripts, ensuring data is pulled accurately and timely.
  • Document all data extraction procedures and ensure scripts are version controlled.
  • Ensure data submissions comply with Mastercards reporting guidelines.
  • Monitor and address any discrepancies or errors in data submissions as identified by Mastercard.
  • Collaborate with reporting teams to ensure timely and accurate data submissions.
  • Analyze trends and patterns in extracted data to identify areas of improvement or concern.
  • Generate internal reports to provide customer segment insights for the relevant data.
  • Assist in compiling feedback for senior management regarding performance and compliance with Mastercards guidelines.
  • Work closely with payment operations, compliance, IT, and finance teams where necessary to ensure alignment on data reporting requirements.
  • Coordinate with vendors and service providers, if necessary, to integrate or adjust data feeds and ensure smooth data flow.
  • Stay updated on Mastercards evolving reporting standards, ensuring internal systems adapt accordingly.
  • Identify opportunities for process improvements, automation, and enhanced reporting accuracy.

Requirements

  • Candidates should possess a Bachelor's Degree in Computer Science, Information Systems, Data Analytics, or a related field
  • Must have have 5-7 Years experience.
  • Previous experience working in financial or payment industry.
  • Experience in working with large datasets and SQL-based data extraction.
  • Proficiency in SQL, scripting languages (e.g., Python, Shell), and data querying techniques.
  • Familiarity with payment systems, card processing, and clearing/settlement processes (especially with Mastercard networks).
  • Experience with financial reporting systems and databases, such as Oracle, Microsoft SQL Server, or similar platforms.
  • Strong analytical and problem-solving skills, with a keen eye for detail in reviewing system outputs and ensuring data accuracy.
  • Ability to translate complex system and transaction data into clear, actionable reports.
  • Strong verbal and written communication skills to interact with technical and non-technical stakeholders.
  • Ability to present data findings to management and recommend corrective actions when needed.

Mandatory Requirements:

  • Payment Processing
  • Data Extraction
  • Segment Modelling
  • Lead creation

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online


  

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