Data Analyst / Cloud Engineer

Intelics Solutions – Africa’s largest Information Management Solutions and Service company, is a 100% Subsidiary of Writer Information, Asia’s largest & amongst top 7 worldwide Information Management Service provider. Through our services we offer business value to our customers by combining operational excellence with deep domain expertise in Business Process Services, Contact Centers, Digital Transformation, Secure Storage, Cloud and Data Centre, Cyber Security Services Remote Infra Management Solutions Healthcare Management Solutions and Enterprise Content Management Solutions. Our Business Process Service offerings help organisations move faster – by simultaneously being more innovative & efficient. By leveraging our synergies across business processes, technology & consulting services we are able to ensure & deliver customer-centric environments.

We are recruiting to fill the position below:

Job Title: Data Analyst / Cloud Engineer

Location: Hybrid

Job Summary

• The successful candidate will combine data analytics expertise with cloud computing knowledge to support data-driven decision-making, optimize business processes, and ensure reliable cloud-based systems.
• We are seeking a skilled and analytical Data Analyst / Cloud Engineer to collect, process, analyze, and interpret data while designing, deploying, and maintaining secure, scalable cloud infrastructure.

Key Responsibilities
Data Analysis and Reporting:

• Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights.
• Support forecasting, statistical analysis, and data-driven decision-making.
• Develop dashboards, reports, and visualizations using Power BI, Tableau, or similar tools.
• Validate data accuracy, maintain data quality, and document analytical processes.
• Collect, clean, transform, and analyze structured and unstructured data from multiple sources.
• Develop and maintain key performance indicators (KPIs) and performance reports.
• Use SQL, Excel, Python, or R to extract insights and identify trends, patterns, and business opportunities.

Cloud Engineering and Infrastructure:

• Implement cloud security controls, identity and access management (IAM), encryption, and backup solutions.
• Design, deploy, configure, and maintain cloud infrastructure on platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Monitor cloud infrastructure performance, availability, and resource utilization.
• Automate infrastructure deployment and routine operational tasks using scripting and Infrastructure as Code (IaC) tools.
• Troubleshoot cloud infrastructure issues and optimize system performance and costs.
• Manage cloud storage, virtual machines, databases, networking, and computing resources.
• Support cloud migration, disaster recovery, and business continuity initiatives.
• Implement monitoring, logging, and alerting to maintain system reliability.

Data Engineering and Cloud Integration:

• Support the development of cloud data warehouses and data lakes.
• Automate data processing workflows and improve data accessibility.
• Integrate cloud-based data sources, storage services, and analytical platforms.
• Build and maintain data pipelines for extracting, transforming, and loading data (ETL/ELT).
• Ensure data governance, privacy, security, and compliance with relevant organizational policies.

Key Performance Indicators (KPIs)

• Reduction in cloud operating costs and resource wastage.
• Efficiency and performance of data pipelines.
• Timely resolution of technical issues.
• Compliance with security and data governance requirements.
• Accuracy, consistency, and timeliness of data reports.
• Quality and business impact of analytical insights.
• Reliability and availability of cloud infrastructure.

Required Qualifications

• Experience with at least one major cloud platform: AWS, Microsoft Azure, or GCP.
• Bachelor’s Degree in Computer Science, Data Science, Statistics, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Understanding of databases, data pipelines, networking, and cloud security fundamentals.
• Knowledge of Python or another programming or scripting language.
• Strong knowledge of SQL, Excel, and data visualization tools.
• Strong analytical, problem-solving, communication, and documentation skills.
• Demonstrable experience in data analysis, cloud engineering, or a related technical role.

Technical Skills:

• Cloud Operations: IAM, networking, monitoring, backups, and cost optimization.
• Version Control: Git and GitHub or equivalent platforms.
• Data Engineering: ETL/ELT, data pipelines, data warehouses, data lakes.
• Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform.
• Data Analytics: SQL, Excel, Python, Power BI, Tableau.
• Automation: Python, Bash, PowerShell, Terraform, or similar tools.
• Databases: PostgreSQL, MySQL, SQL Server, or cloud-native databases.

Preferred Qualifications:

• Relevant cloud certifications, such as AWS Certified Solutions Architect, Microsoft Azure certifications, or Google Cloud certifications.
• Knowledge of data governance, information security, and regulatory compliance.
• Microsoft Power BI Data Analyst certification or equivalent analytics credentials.
• Familiarity with Docker, CI/CD pipelines, and DevOps practices.
• Experience working with cross-functional teams in an Agile environment.
• Experience with cloud data services, such as Amazon Redshift, Azure Synapse Analytics, BigQuery, or Snowflake.

Core Competencies:

• Technical troubleshooting and problem-solving.
• Cloud infrastructure management.
• Continuous learning and adaptability.
• Effective communication and stakeholder engagement.
• Analytical thinking and attention to detail.
• Project management and teamwork.

How to Apply
Interested and qualified candidates should send their CV to: [email protected] using the Job Title as the subject of the mail.