Senior Data Engineer / Lead Data Analyst (Power BI & SQL)

Senior Data Engineer / Lead Data Analyst (Power BI & SQL)

Company:

About PRYMO DRC

fintech aggregator

Senior Data Engineer / Lead Data Analyst

Role Overview

You will lead data engineering and analytics initiatives at PRYMO DRC.
This includes defining data architecture, building reliable ETL pipelines, developing scalable BI solutions, and mentoring junior analysts. You’ll partner closely with business, finance, and technology teams to shape how data informs every decision — from liquidity management to cross-network performance analysis.

Key Responsibilities

• Architect, automate, and optimize

  end-to-end data pipelines (ETL) using Microsoft BI tools (SSIS, SQL Server, Power Query).
• Design and maintain a

  centralized data warehouse

  supporting high-volume transactional data.
• Develop and manage advanced

  Power BI dashboards

  (data modeling, DAX, custom visuals, security rules).
• Lead

  data governance, validation, and quality assurance

  processes across all systems.
• Conduct

  advanced analytics

  and forecasting using Python or R to support financial and operational planning.
• Collaborate with Finance, Product, and Operations teams to define KPIs, ensure consistent metrics, and deliver executive-level reporting.
  
• Implement

  automation and monitoring frameworks

  to ensure data accuracy and reliability.
• Provide

  technical leadership and mentorship

  to junior analysts and data engineers.
• Evaluate new tools, frameworks, and technologies to enhance the company’s data infrastructure.
  

Required Skills & Experience

• 5–10 years of experience as a

  Data Engineer, BI Developer, or Senior Data Analyst

  .
• Expert in

  SQL Server

  (T-SQL, stored procedures, performance tuning, database design).
• Proven experience in

  Power BI Desktop

  and

  Power BI Service

  (DAX, gateways, security, performance optimization).
• Strong background in

  ETL design

  and automation (SSIS, ADF, or similar frameworks).
• Proficiency in

  Python

  or

  R

  for data analysis, modeling, and automation.
• Strong understanding of

  data warehousing

  ,

  data modeling

  , and

  governance best practices

  .
• Familiarity with

  cloud-based data solutions

  (Azure Data Factory, AWS Redshift, or GCP BigQuery).
• Exposure to

  financial or transactional data

  (payments, fintech, telecom) preferred.
• Excellent communication and leadership skills, capable of translating technical findings into business insights.
  
• Bachelor’s or Master’s degree in

  Computer Science, Data Science, Statistics, or Information Systems

  .

Preferred Attributes

• Experience in fintech, digital payments, or telecom industries.
  
• Proven track record of designing scalable BI systems for multi-country or multi-entity organizations.
  
• Strong sense of ownership, autonomy, and ability to work across time zones.
  
• Comfortable working in

  fast-paced, high-volume data environments

  .
• Passionate about mentoring and team development.
  

What We Offer

• Fully

  remote position

  — collaborate with global teams from anywhere in the world .
• Competitive

  compensation package

  with performance incentives.
• Opportunity to build

  core data infrastructure

  for one of Central Africa’s fastest-growing fintechs.
• A high-impact role at the intersection of

  data, finance, and technology

  .
• Continuous learning, autonomy, and leadership opportunities as the company expands internationally.
  

How to Apply

CV

Preferred candidate profile