Data Analyst

Sasso Consulting; Johannesburg; Hybrid; ZAR 350,000 - 550,000; Full time

Job summary

Sasso Consulting is seeking experienced Data Analysts in Gauteng to support enterprise data analysis, BI reporting and data quality management. You will collect, transform and analyse large datasets, develop dashboards, and translate complex data into actionable insights for stakeholders.

The role requires hands-on SQL, data visualisation and statistical analysis skills, collaboration with data engineering and BI teams, and an understanding of data governance and privacy principles.

Qualifications

• Hands-on experience with SQL, data analysis, data visualisation and BI tools.
• Experience with enterprise databases and developing analytical reports and dashboards.
• Understanding of data governance, information security, data privacy and enterprise data management.

Responsibilities

• Extract data from enterprise databases and information systems.
• Develop and execute SQL queries to retrieve relevant data.
• Collect and consolidate data from multiple internal and external sources.
• Analyse source data structures and identify datasets.
• Perform data cleansing, transformation and standardisation.
• Identify missing, duplicate, inconsistent or inaccurate data.
• Prepare structured datasets for reporting and analysis.
• Validate extracted data against source systems.
• Support the integration of data from different business applications.
• Maintain documentation of data sources, extraction methods and transformation rules.
• Analyse large datasets to identify trends and relationships.
• Perform descriptive, diagnostic and exploratory data analysis.

Skills

SQL

Data analysis

Data visualisation

BI tools

Statistical analysis

Data quality

Job description

Location: Gauteng

Positions Available: 5

Salary: Market-related

Employment type: 3 Year contract, hybrid

Job Overview

We are seeking experienced, analytical and technically proficient Data Analysts to support enterprise data analysis, business intelligence, reporting, data quality management and data-driven decision‑making within complex organisational environments.

The successful candidates will be responsible for collecting, extracting, transforming, analysing and interpreting large volumes of structured and semi‑structured data to identify trends, evaluate business performance and deliver meaningful insights to business and technical stakeholders.

This role requires strong hands‑on expertise in SQL, data analysis, data visualisation, business intelligence tools, statistical analysis and data quality assessment.

The ideal candidates will have proven experience working with enterprise databases, developing analytical reports and dashboards, investigating data discrepancies, identifying business trends and translating complex datasets into clear, actionable recommendations.

Candidates should demonstrate the ability to work independently with data from multiple systems, develop reliable reporting solutions, collaborate with data engineering and business intelligence teams, and communicate analytical findings to stakeholders at different organisational levels.

The role also requires an understanding of data governance, information security, data privacy and enterprise data management principles.

This is a specialist Data Analyst opportunity requiring demonstrated hands‑on technical data analysis experience. General administrative reporting, basic Excel usage or data capturing experience alone will not be sufficient.

Key Responsibilities

Data Collection, Extraction and Preparation

• Extract data from enterprise databases, applications and information systems.
• Develop and execute SQL queries to retrieve relevant business and operational data.
• Collect and consolidate data from multiple internal and external sources.
• Analyse source data structures and identify relevant datasets.
• Perform data cleansing, transformation and standardisation activities.
• Identify missing, duplicate, inconsistent or inaccurate data.
• Prepare structured datasets for reporting and analysis.
• Validate extracted data against source systems.
• Support the integration of data from different business applications.
• Maintain accurate documentation of data sources, extraction methods and transformation rules.

Data Analysis and Interpretation

• Analyse large and complex datasets to identify trends, patterns and relationships.
• Perform descriptive, diagnostic and exploratory data analysis.