Analytics / BI Developer

Digital Planet; Sandton; Hybride; ZAR 420 000 - 720 000; Plein temps

Résumé du poste

Digital Planet is seeking an Analytics / BI Developer to deliver reporting and build the data layer underneath it. The role combines report and dashboard delivery with hands-on data engineering across the data warehouse and ETL estate, working within established design patterns.

Responsibilities include maintaining reports, validating data quality, and collaborating with stakeholders to derive insights from data.

Qualifications

• Degree or equivalent qualification in computer science, information systems, statistics, mathematics or similar.
• 2–3 years of experience across reporting, analytics and data engineering.
• Strong SQL, including complex queries, views, stored procedures and performance tuning.
• Hands-on experience with an ETL or orchestration tool, ideally Azure Data Factory.
• Hands-on experience building reports and dashboards in a mainstream BI tool.
• Understanding of data warehouse modelling concepts, including dimensional models.

Responsabilités

• Build, maintain and improve reports and dashboards for business stakeholders, delivering output that is accurate, consistent, and on time.
• Understand reporting requests properly before building, clarifying the underlying business question and challenging requirements where needed.
• Own the quality of the reporting delivered, including consistent definitions and metrics across reports.
• Develop and maintain the reporting layer of the data warehouse, including the views, data models and data preparation that reports depend on.
• Monitor ETL pipelines and warehouse loads, and troubleshoot and resolve pipeline failures and data issues, escalating where the cause falls outside established patterns.
• Make routine changes to ETL pipelines and the data warehouse, such as new fields, extended loads and new tables, following established design patterns and within the change authority granted.
• Identify data quality issues early, and resolve or elevate them before they reach the business.
• Document reports, data models, pipelines and changes as part of everyday work, reducing single-person dependency on the data estate.
• Provide day-to-day technical guidance and mentorship to the Junior Data Analyst.
• Engage directly with internal stakeholders on reporting needs, and with vendors and suppliers where a data or reporting requirement calls for it.
• Develop over time from report delivery into interpretation and insight: investigating why results move, identifying trends and raising findings.

Connaissances

SQL proficiency

Data engineering

Stakeholder communication

Formation

Degree in computer science / information systems / statistics / mathematics or equivalent

Outils

Azure Data Factory

Exasol

Yellowfin BI

SQL Server

Azure Logic Apps

Description du poste

Analytics / BI Developer

The Analytics / BI Developer delivers the reporting the business relies on and builds and maintains the data layer underneath it. The role combines report and dashboard delivery with hands-on data engineering across the data warehouse and ETL estate, working within established design patterns.

Mission

• Build, maintain and improve reports and dashboards for business stakeholders, delivering output that is accurate, consistent, and on time.

• Understand reporting requests properly before building, clarifying the underlying business question and challenging requirements where needed.

• Own the quality of the reporting delivered, including consistent definitions and metrics across reports.

• Develop and maintain the reporting layer of the data warehouse, including the views, data models and data preparation that reports depend on.

• Monitor ETL pipelines and warehouse loads, and troubleshoot and resolve pipeline failures and data issues, escalating where the cause falls outside established patterns.

• Make routine changes to ETL pipelines and the data warehouse, such as new fields, extended loads and new tables, following established design patterns and within the change authority granted.

• Identify data quality issues early, and resolve or elevate them before they reach the business.

• Document reports, data models, pipelines and changes as part of everyday work, reducing single-person dependency on the data estate.

• Provide day-to-day technical guidance and mentorship to the Junior Data Analyst.

• Engage directly with internal stakeholders on reporting needs, and with vendors and suppliers where a data or reporting requirement calls for it.

• Develop over time from report delivery into interpretation and insight: investigating why results move, identifying trends and raising findings.

Outcomes

• Reporting delivered reliably, accurately and on time, with consistent definitions across reports.

• Reporting requests understood properly before work begins, reducing rework.

• Data issues identified early and resolved or escalated before they reach the business.

• A reporting layer that makes new reports faster and more reliable to build.

• Routine ETL support and change handled within the team, reducing dependency on the Head of Analytics & Business Enablement.

• Changes made safely and within the change authority granted, with no unreviewed changes to production.

• A data estate that is better documented over time.

• Continuity of reporting delivery during any absence of the Senior Reporting and Data Analyst.

• A Junior Data Analyst who grows in capability and independence.

• Demonstrable progression from report delivery towards engineering and insight, with change authority widening as trust is established.

Qualifications

• Degree, diploma or equivalent qualification in computer science, information systems, statistics, mathematics or similar, or equivalent relevant experience.

• Two to three years of experience across reporting, analytics and data engineering.

• Strong SQL, including complex queries, views, stored procedures and performance tuning.

• Hands-on experience with an ETL or orchestration tool, ideally Azure Data Factory.

• Hands-on experience building reports and dashboards in a mainstream BI tool.

• Understanding of data warehouse modelling concepts, including dimensional models.

• Experience with Exasol, Yellowfin BI, SQL Server, Azure Logic Apps or the wider Azure data stack is advantageous.

• Ability to work within an existing architecture and follow established patterns.

• Good written and verbal communication, with the ability to work with both technical and non-technical stakeholders.