Data Operations Analyst

Odixcity Consulting; South Africa; On-site; ZAR 360,000 - 600,000; Full time

Job summary

Odixcity Consulting is seeking a Data Operations Analyst in South Africa to oversee data pipelines and quality for AI, ML, and BI projects. You will validate data, support data teams, and improve data handling processes across ingestion, storage, and transformation stages.

The ideal candidate has 3-5 years in data operations, with SQL, ETL, cloud storage, and data-cleaning expertise. A Bachelor’s degree in a relevant field is required.

Qualifications

• Bachelor’s Degree in data-related field (Data Science / CS / IS / Statistics / Mathematics).
• Familiarity with SQL, Excel, and database systems.
• Knowledge of ETL processes and data pipelines.
• Understanding of data validation, transformation, and cleaning techniques.
• Experience with cloud storage and workflow tools (AWS, GCP, Azure).
• 3-5 years of proven experience in data operations, analytics, or pipeline management.

Responsibilities

• Monitor and manage data pipelines and workflows.
• Validate data quality and integrity at each stage of processing.
• Support AI and data teams with dataset preparation and analysis.
• Identify and resolve data inconsistencies and errors.
• Generate reports on data operations metrics and quality KPIs.
• Collaborate with stakeholders to optimize data handling processes.
• Maintain documentation of operational workflows and procedures.

Skills

SQL

Excel

Database systems

ETL pipelines

Data validation

Cloud storage

Certifications

Data operations

Education

Bachelor's Degree

Tools

AWS

GCP

Azure

Job description

Job Summary: We are seeking for a Data Operations Analyst to ensure smooth handling, quality, and management of operational data for AI, ML, and business intelligence projects. This role monitors, validates, and optimizes workflows involving data ingestion, storage, transformation, and annotation. You will analyze operational datasets, ensure compliance with standards, and support teams in maintaining high data reliability. The ideal candidate is analytical, detail-oriented, and experienced in managing data pipelines and operations.

Key Responsibilities

• Monitor and manage data pipelines and workflows.
• Validate data quality and integrity at each stage of processing.
• Support AI and data teams with dataset preparation and analysis.
• Identify and resolve data inconsistencies and errors.
• Generate reports on data operations metrics and quality KPIs.
• Collaborate with stakeholders to optimize data handling processes.
• Maintain documentation of operational workflows and procedures.

Job Requirements

• Bachelor’s Degree in Data Science, Computer Science, Information Systems, Statistics or Mathematics.
• Familiarity with SQL, Excel, and database systems.
• Knowledge of ETL processes and data pipelines.
• Understanding of data validation, transformation, and cleaning techniques.
• Experience with cloud storage and workflow tools (AWS, GCP, Azure).
• Ability to manage and prioritize multiple operational tasks.
• Required Certifications such as Google Data Analytics Certification, Microsoft Data Fundamentals, Data Operations or ETL Training (advantage)
• 3-5 years of proven experience in data operations, analytics, or pipeline management.