Mid Level Data Analytics Engineer

Moyoafrica

Centurion

On-site

ZAR 600,000 - 900,000

Full time

7 days ago

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Job summary

MOYO is seeking a mid-level Data Analytics Engineer to transform data into actionable insights across the analytics lifecycle. You will work on Power BI reporting, dashboards, data models and data integration, collaborating with stakeholders to deliver value.

The role emphasizes strong data engineering, warehousing, transformation and visualization skills, with exposure to Azure data services and BI best practices.

Qualifications

Bachelor-level qualification in a relevant field such as Computer Science, IT, Infomatics or Data Analytics.
Experience with Power BI reporting and dashboard development.
Familiarity with data warehousing, ETL, data modelling and governance practices.

Responsibilities

Design, develop and maintain Power BI reports, dashboards and semantic models.
Create interactive visualisations and KPI dashboards to support business decisions.
Develop and optimise DAX measures and calculations for accurate insights.
Translate business requirements into analytical solutions and ensure dashboard performance.

Skills

Power BI

SQL Server

Data Modelling

ETL Development

Data Warehousing

DAX

Power Query

Azure Fundamentals

Education

Degree in Computer Science / IT / Informatics / Data Analytics

Tools

Azure Data Factory

Azure Synapse Analytics

Azure Data Lake

Databricks

Python

Alteryx

UiPath

Job description

WELCOME TO MOYO
MID LEVEL DATA ANALYTICS ENGINEER

Role Overview

The Data Analytics Engineer is responsible for transforming data into meaningful insights that support business decision-making. The role spans the full analytics lifecycle, including requirements gathering, source data analysis, data modelling, data engineering, report development, dashboard visualisation, and ongoing optimisation of business intelligence solutions. The successful candidate will possess strong technical capability across data preparation, warehousing, transformation, and visualisation, with a particular focus on Microsoft Power BI Analytics Solutions. The role requires the ability to engage with business stakeholders, translate requirements into technical solutions, and deliver high-quality, actionable insights.

Required Qualifications:

Tertiary qualification (degree, diploma, or certificate) in a relevant field (e.g., Computer Science, IT, Informatics, or Data Analytics)

Experience & Knowledge Requirements

Technical Skills

Microsoft Power BI (Essential)
Tableau (Advantageous)
Microsoft SQL Server
Data Warehousing Methodologies and Best Practices
Data Modelling (Star Schema, Dimensional Modelling)
Data Consolidation and Integration
Data Cleansing and Transformation
ETL Development
Database Design and Optimisation
Dashboard and Report Development
DAX (Data Analysis Expressions)
Power Query (M Language)
Azure Data Fundamentals and Azure Data Services Exposure

Advantageous Experience

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake
Microsoft Fabric
Databricks
AWS and AWS Redshift
Oracle Databases
SSIS, SSAS and SSRS
Python, R or Alteryx
AI and Machine Learning exposure
Big Data technologies such as Hadoop, Hive and Spark
RPA tools such as UiPath
Agile delivery methodologies
Azure DevOps practices and tooling

Key Responsibilities

Reporting, Analytics & Visualisation

Design, develop, implement and maintain Power BI reports, dashboards and semantic models.
Develop interactive visualisations and KPI dashboards to support business decision-making.
Create and maintain Power BI datasets, dataflows and workspaces.
Develop and optimise DAX measures and calculations.
Translate business requirements into meaningful analytical insights.
Monitor and improve dashboard performance and usability.
Support business users with reporting and self-service analytics requirements.

Data Engineering & Analytics

Analyse source systems and business requirements.
Perform data sourcing, profiling, cleansing, transformation and validation.
Design and develop data models for reporting and analytics.
Design, develop and maintain data warehouse and reporting solutions.
Develop ETL and data integration processes.
Ensure data quality, consistency and governance standards.
Identify opportunities for process automation and optimisation.

Business Engagement

Gather and document business requirements.
Facilitate stakeholder workshops and requirements sessions.
Translate business challenges into scalable Power BI and analytics solutions.
Collaborate with technical teams and business stakeholders to deliver value.
Build and maintain strong client and team relationships.

Quality Assurance & Continuous Improvement

Conduct thorough testing and validation of reporting and analytics solutions.
Document technical specifications, designs and operating procedures.
Provide support and troubleshooting for Power BI environments.
Recommend and implement process improvements.
Research emerging Microsoft Data & AI technologies and analytics best practices.

Required Technology Stack

Essential