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Business Intelligence Analyst

1 month ago

Cremorne, Australia Accent Group Full time

Accent Group Limited, a leading digitally integrated retail and distribution business in Australia and New Zealand, is seeking a skilled Business Intelligence Developer to join its Technology Team at the Cremorne Office, Melbourne.

This exciting opportunity within the Data & Analytics team offers the chance to support key data infrastructure and grow expertise towards becoming a Data Engineer. If you are passionate about business intelligence, data strategy, and eager to develop skills in data engineering, we encourage you to apply.

About the Role:

The successful candidate will report to the Data Solutions & Architect Manager and leverage their BI expertise with Microsoft BI and Azure Data tools to solve business problems through data. As they grow in this role, they will gain more exposure to Data Engineering projects, expanding their skills across data architecture, integration, and automation, setting them up for a successful transition into a more technical, hands-on Data Engineer role.

Key Responsibilities:

  • Design, develop, and deploy data solutions that support business intelligence and reporting needs across both Azure and on-premise environments.
  • Build and maintain efficient and scalable data models, datasets, and views to ensure seamless data representation.
  • Continuously improve data integration platforms to enhance performance, availability, accessibility, and data integrity.
  • Data Engineering: Take on increasing responsibilities in data architecture, integration, and automation, preparing for a transition into a Data Engineer role.
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable BI solutions. Troubleshoot, diagnose, and resolve technical issues.
  • Create, develop, and manage data integration, load routines, and data consolidation mechanisms following best practices.
  • Identify and implement internal process improvements, including automation and optimization of data infrastructure for scalability.

Requirements:

To be successful, you will ideally have:

  • Proven experience in data design and implementation, with expert knowledge of SQL scripting and best practices. Knowledge of major DBMSs (SQL Server, Oracle, MySQL) and specific tools (MSSMS, Oracle SQLDeveloper, HeidiSQL, etc).
  • Proficiency in SQL Queries and Optimisation (understanding joins, conditional expressions, indexing strategy, query plan analysis). Writing and managing views, stored procedures, functions, and triggers are critical.
  • Relational Database Design and Modelling (Diagrams, (de)normalization, data integrity, a solid design foundation of data storage and retrieval).
  • Data Security and Compliance (permissions, encryptions, auditing).
  • Proficiency in the Microsoft BI stack (SSIS, SSAS, Power BI, OLAP – both DAX, MDX), Data Warehousing and ETL Processes.
  • Hands-on experience with the Azure Data Platform, including Azure Data Factory, Azure Functions, Azure Data Lake, Azure Databricks and Azure DevOps.
  • Analytical and Statistical Knowledge – comfortable with basic statistical methods and understanding business metrics and KPIs.

Tech Skills:

  • Familiarity with Apparel21, Qlik Sense, Adobe CRM, Mailchimp, or Jedox is a plus.

Growth Areas:

  • Exposure to or interest in object-oriented programming and scripting languages (C#.NET, VB.NET, Java, Python, Perl, R).
  • Knowledge of API-driven data integration, including REST/SOAP.
  • Experience or desire to learn data migration planning and execution.
  • Exposure to retail-oriented architecture, data integration, or data architecture (highly desirable).

Mindset:

  • A problem-solving attitude with a strong sense of ownership and accountability.
  • An eagerness to learn and grow within the data engineering space.
  • Excellent communication and interpersonal skills, with a collaborative, can-do approach.

Salary Range: AU$120,000 - AU$160,000 per annum.