Business Intelligence Specialist

Medhealth Dba; Melbourne; Hybrid; AUD 115,000 - 125,000; Full time

Benefits offered by this job

Hybrid working arrangement

Job summary

Angle Finance is seeking an experienced Data Analyst to support a major data migration and transformation program in a large Victorian organisation. Hybrid role in Melbourne CBD; 2-3 days onsite, with strong SQL, data migration, mapping and reconciliation experience.

The role involves analyzing source/target data, defining transformation rules, validating migration outcomes, and building dashboards for data quality using Power BI.

Qualifications

• 3-6+ years' experience in Data Analysis or Data Migration.
• Strong SQL and Power BI skills.
• Experience with data migration, mapping and reconciliation.
• Experience with Microsoft Fabric, Azure Synapse or SQL Server.
• Stakeholder engagement and communication skills.

Responsibilities

• Analyse source and target data structures and develop mappings.
• Profile and investigate data quality issues and reconcile results.
• Write SQL for analysis, validation and reconciliation.
• Build Power BI reporting for migration and data quality.
• Support migration testing, cutover activities and documentation.

Skills

SQL

Power BI

Data analysis

Stakeholder engagement

Analytical thinking

Education

Bachelor's degree

Tools

Microsoft Fabric

Azure Synapse

SQL Server

Job description

Angle Finance is a leading non-bank asset finance company operating in the rapidly growing intermediary asset finance market. Our signature is Faster, Easier Finance, provided by consistent, predictable and reliable service propositions in everything we do.

Our people make us remarkable. So we’ve built a culture of empowerment, enabling our people to make decisions that drive our speed, our agility, and our ability to see things from different angles.

We offer flexibility, giving our people freedom and tailored support to develop their professional interests beyond their immediate roles, leading to more satisfying careers. We also offer a hybrid working arrangement.

At Angle, different backgrounds, perspectives and life experiences of our people are celebrated. Our aim is to create an inclusive workplace where we foster diversity of thought, and every person feels a sense of belonging.

Our team is growing and we’re hiring a Data Analyst. The role will deliver timely, accurate, and insightful reporting and analysis to support the relevant function.

It also focuses on enhancing self-service capabilities and performing complex analysis, enabling the organization to make informed decisions and achieve its objectives.

You’ll work with the enterprise data team to shape and optimise the enterprise data strategy, to drive data-driven decision making and a culture of data excellence throughout the company.

You will:

• Engage with stakeholders to gather, document, and validate data and reporting requirements, ensuring alignment with business objectives and analytical needs.
• Analyse and optimise data-driven business processes and workflows, identifying inefficiencies and recommending improvements to enhance data accessibility, system functionality, and reporting accuracy.
• Apply project management principlesto scope, plan, and deliver data and analytics initiatives, including resource allocation, timeline management, and stakeholder communication.
• Design, test, and implement data solutions, including dashboards, reports, and automated workflows, ensuring data integrity, usability, and performance.
• Collaborate with users and technical teamsto continuously improve the functionality, performance, and user experience of data platforms and reporting systems.

What you bring:

• Experience in a similar role and looking to develop further.
• Proven ability to develop reports, identify and present actionable insights from various data sources.
• Excellent time management skills with the ability to deliver to time-critical requirements.
• Strong analytical, reporting, SQL, and Power BI skills.
• Experience in using AI in a data role in reporting or engineering.
• Bachelor’s degree with a business, technology, or mathematical focus.
• Demonstrated knowledge of Financial Services / Banking – specifically business lending is a plus.

Data Analyst | Data Migration | Microsoft Fabric

Rate: $900-$975 per day

6-month contract supporting a major digital transformation program

Strong SQL, data migration, mapping and reconciliation experience required

Melbourne CBD hybrid role, 2-3 days per week onsite

The opportunity

We are looking for an experienced Data Analyst to support a major data migration and transformation program within a large Victorian organisation.

You will work across business and technical teams, helping analyse source and target data, define transformation rules, identify data quality issues and validate migration outcomes.

Key responsibilities

• Analyse source and target data structures
• Develop source-to-target mappings
• Profile and investigate data quality issues
• Write SQL for analysis, validation and reconciliation
• Support migration testing and cutover activities
• Work with Data Engineers using Microsoft Fabric
• Build Power BI reporting for migration and data quality
• Maintain clear mapping, testing and issue documentation

What we're looking for

• 3-6+ years' experience in Data Analysis or Data Migration
• Strong SQL skills
• Proven data migration and reconciliation experience
• Microsoft Fabric, Azure Synapse or SQL Server experience
• Power BI experience
• Strong stakeholder engagement skills
• Microsoft Dynamics / Dynamics 365 experience advantageous

If you have strong hands-on SQL and data migration experience, apply with an updated CV to

Australian Citizens residing in Australia with Baseline Clearance only respond.

1. Experience designing ETL/ELT processes for data movement and transformation. 25%

2. Experience exploring and analysing structured and non-structured data for ingestion into data transformation processes. 25%

3. Azure Cloud technology experience working with Engineering, Storage and Analytics services. 25%

4. Working with multi-disciplinary teams using an Agile methodology. 25%

1. Experience working with Infrastructure as Code delivery (Terraform). 50%

2. Experience working with Data Lakes. 50%

Job Description:

Australian Citizens residing in Australia with Baseline Clearance only respond.

Essential criteria Weighting

1. Experience designing ETL/ELT processes for data movement and transformation. 25%

2. Experience exploring and analysing structured and non-structured data for ingestion into data transformation processes. 25%

3. Azure Cloud technology experience working with Engineering, Storage and Analytics services. 25%

4. Working with multi-disciplinary teams using an Agile methodology. 25%

Desirable criteria Weighting

1. Experience working with Infrastructure as Code delivery (Terraform). 50%

2. Experience working with Data Lakes. 50%

Required Skills:

Storage Analytics Infrastructure Engineering

Location: Melbourne, southeastern suburbs

Salary Package: $115-$125k DOE + Super

Role highlights: Support process improvement within a Head Office environment

Role Overview

This is a highly exciting role within a large complex industrial / manufacturing business whereby an opportunity has arisen for a high-calibre Data Analyst with an Accounting Operations appreciation and a process improvement outlook to join the business.

Reporting to an experienced Transactional Finance Manager, the purpose of this role is to provide support in solving problems, finding ways to work smarter and utilising the data available to provide insights to drive process improvements. This is an environment with many different systems and data feeds so this role needs someone who is comfortable with systems (MS Excel, Power Bi, SQL) to enable them to utilise data to translate into operational process improvements.

This is a visible, impactful role which offers good exposure to senior stakeholders in a collaborative team environment.

Responsibilities

Data Analysis & Reporting

• Extract and interpret transactional data to identify patterns and trends which can be utilised to recommend process improvement opportunities
• Build and maintain dashboards, scorecards and visual analytics to track KPI’s including DSO, Debtor ageing, productivity, exception rates, cycle times and payment performance
• Prepare regular weekly, monthly, and ad  hoc reports for leadership and operational teams.
• Provide insights to support business decisions, process redesign, and transformation initiatives

Candidate Profile

This role is a brilliant opportunity for a candidate, comfortable in utilising large volumes of data to drive decision making resulting in process improvements. The right candidate for this role will also have an appreciation of accounting operations and have excellent communication skills as well as demonstrating a positive attitude. The role is working within an established organisation with plenty of scope for building a career in a business which has a history of providing candidates with future progressive opportunities.

This role works as part of a collaborative team who have a supportive, down‑to‑earth culture where expertise is valued and shared. A hybrid working pattern is available for this role, with the team being office based for 4 days per week and 1 day per week from home.

• Utilise large volumes of data to drive operational process improvement
• Be rewarded: $115-$125k DOE + Super
• Opportunity to support on high‑profile improvement projects,

Apply

If this sounds like you, please send your resume by clicking the “apply” link below. The reference number for this role is LFDA69361. Please allow for 3 – 5 working days for us to process all applications. All applicants will receive feedback from us, either via email or a telephone call.