Data Analyst: Build Data Products & Insights

BDO; Gqeberha; On-site; ZAR 320,000 - 520,000; Full time

Job summary

BDO in South Africa is seeking a Data Analyst to join the Data Office and help build a catalogue of analytics products on the EDAP platform. You will translate data into actionable insights for business growth, collaborating with data engineers and stakeholders to deliver solutions that balance analytical rigor with practical outcomes.

The role requires hands-on experience with SQL, Python, data visualization, and BI tools like Power BI.

Qualifications

• Proficiency in SQL and Python.
• Experience in data analytics and data visualization beyond basic reporting.
• Understanding of statistical concepts and techniques.
• Experience with large datasets and relational databases.
• Experience building data products for end-users.
• Experience collaborating with stakeholders to drive data-driven decisions.
• Ability to move from manual Excel analysis to automated solutions.
• Knowledge of star schema modelling and dimensional modeling.
• Experience developing analytics with Power BI and similar tools.

Responsibilities

• Designs and builds data analytics products for the organisation.
• Delivers analytics products with secure, scalable, and strategic focus.
• Collaborates with Data Engineering on ETL processes and analytics outputs.
• Develops curated datasets to enable future use cases.
• Identifies trends and opportunities through data exploration.
• Provides guidance on analytics, modelling, and performance measurement.
• Maximises value from internal data and external data sources.
• Works with business and technical stakeholders to deliver holistic products.
• Leads projects with autonomy under the Data Analytics Lead.

Skills

SQL

Python

Data analytics

Data visualization

Statistics

Power BI

Tools

Power BI

Power Automate

Job description

BDO in South Africa is seeking a Data Analyst to join the Data Office and help build a catalogue of analytics products on the EDAP platform. You will translate data into actionable insights for business growth, collaborating with data engineers and stakeholders to deliver solutions that balance analytical rigor with practical outcomes.

The role requires hands-on experience with SQL, Python, data visualization, and BI tools like Power BI.