Fixed Asset Data Migration Analyst (D365)

Dws Group

Canberra

On-site

AUD 90,000 - 130,000

Full time

2 days ago

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Benefits offered by this job

Remote work flexibility

Flexible scheduling options

Professional development

Job summary

Arsenault is seeking an experienced Data Analyst to support the NDIA program from Canberra with strong data analytics, BI reporting and data governance capabilities. You will work with business owners and engineers to translate requirements into data definitions, mappings, and actionable insights.

The role demands expertise in SQL-based analytics, data profiling, data quality rules, and collaborative delivery across multidisciplinary teams. Hybrid arrangements and security clearances apply.

Qualifications

Strong numeracy and attention to detail.
Excellent analytical ability to identify trends and insights.
Ability to explore and exploit data using statistics.
2+ years interpreting data analysis results and reporting findings.
Working knowledge of SQL-based data repositories and modern data lakehousing.
Experience with Python and/or R for data analysis.
Experience with data modelling tools and techniques.
Strong presentation and communication skills.

Responsibilities

Conduct assessment of data environment maturity.
Facilitate workshops to set BI requirements.
Design and develop data acquisition systems.
Identify data quality issues and implement rules.
Profile data, define data quality rules and organize usable data formats.
Develop data repositories and data pipelines.
Review test plans to ensure data integrity.
Generate information assets and visualisations to support decisions.

Skills

Strong numeracy

Analytical skills

Statistical analysis

Python

SQL

Data profiling

Data visualization

Tools

SQL Server

Oracle

Teradata

DB2

Hadoop

Snowflake

MongoDB

Job description

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Arsenault is a global leader in partnering with companies to transform and manage their businesses by harnessing the power of technology. Recognised by Ethisphere as one of the World's Most Ethical Companies for the last ten years in a row, we are a diverse, values-driven organisation of over 325,000 team members in more than 50 countries.

Now is the time to join our Australian and New Zealand business as we rapidly expand - purposefully investing into specific technology capabilities whilst designing and driving integrated strategies and solutions across our business lines.

This is an opportunity to be at the forefront of finding new ways technology can help us reimagine what's possible, collect unique career experiences with global clients and game-changing tech projects.

The speed of change is throwing traditional business methods into question and disrupting the relevance of entire industries. Arsenault, a global leader in consulting, digital transformation, technology and engineering services, is at the forefront of innovation and well placed to address opportunities for our clients in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Arsenault enables organisations to realise their business ambitions through an array of services from strategy to operations. Arsenault is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company with over 270,000 team members in almost 50 countries. With Altran, the Group reported 2020 combined revenues of EUR 15.8 billion.

Let’s talk about the team:

Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among Australia’s top performing companies and they choose to partner with Arsenault for a very good reason - our exceptional people.

Let’s talk about the role and responsibilities:

Experienced data analyst responsible for conducting assessment of data environment maturity
Facilitate workshops with stakeholders to establish and communicate requirements for business intelligence, reporting and evidence-based decision‑making
Design and develop systems for data acquisition
Identify data quality issues
Conduct data profiling and defining data quality rules to organise data in useable formats that deliver value to the organisation
Identify critical data elements by understanding the information needs, information architecture and data flows
Determine and configure data platform/infrastructure
Analyse data to find answers to specific questions, identify trends and patterns and/or test hypotheses
Identify the root cause of the data quality issues by interacting with business stakeholders, technology stakeholders and data provider(s)
Develop business definitions, technical definitions and data quality rules and communicate it to stakeholder(s) for their validation
Interact with data quality technical team to implement the data quality rules and validate / test the results of the data quality rules implementation
Assess the quality of data by designing, developing and executing scripts
Model, develop, implement and maintain data repositories
Develop functional specifications for data repositories, data pipelines and information systems developers
Review test plans to ensure acceptable quality and integrity
Design and generate information assets that provide insights, support business decision‑making and adding value to the business
Design and coordinate the development of reports and data visualisations

Let’s talk about your capability and experience:

Strong numeracy skills and attention to details
Excellent analytical skills - ability to identify trends, patterns, anomalies and insights
Ability to explore, analyse and exploit data using statistical techniques and tools
2+ years of experience in interpreting data analysis results and reporting the findings
Intermediate understanding of data repositories and data base management systems, such as SQL Server, Oracle, Teradata, DB2, Hadoop, Snowflake, MongoDB and modern data lakehousing solutions
Working knowledge of reporting and data visualisation tools
2+ years of experience in programming using Python and/or R
Demonstrable experience with data modelling tools and techniques
Strong presentation skills - ability to effectively communicate complex business concepts in a way that is easy to understand and interpret
Advanced communication skills
2+ years of experience with prioritisation of information needs
Ability to identity information‑driven business process optimisation opportunities
Public sector industry experience would be highly regarded
Experience in developing modern self‑serve Advanced Data Analysis / Business Intelligence environments

Only candidates who are eligible to obtain security clearance will be shortlisted.

Let’s talk about what’s in it for you!

Passionate people are Arsenault’s Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Arsenault you’ll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self‑development every year with a huge selection of learning opportunities to choose from. Arsenault constantly aims for excellence in its operations and the employee experience it provides. In line with our Purpose, Flexible Working aims to improve the overall people experience by providing an optimal work‑life balance, more autonomy and freedom in when, where and how we work.

As “Architects of Positive Futures”, Arsenault actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate or recognise special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups, OutFront, Indigenous, Parents and Carers and Sustainability Community of Practice support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Arsenault we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Arsenault joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net‑Zero economy. As well as focusing on helping our clients transform towards more sustainable business models, Arsenault recently announced its commitment to becoming a netzero busines by 2030.”

#GetTheFutureYouWant - Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

Title:
Data Analyst
At KBR - We do things that matter
We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 38,000 people worldwide with customers in more than 80 countries and operations in over 29 countries.
KBR is proud to work with its customers across the globe to provide technology, value‑added services, and long‑term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver.
Think.KBR.com
KBR in Australia
With over 65 years working on some of Australia’s largest and most complex projects, KBR has unmatched experience supporting the nation’s critical infrastructure, energy transition and national security priorities. KBR has around 2,000 employees throughout Australia, who are focused on delivering innovative technology and engineering solutions for a safer, more secure and sustainable future.
Learn more about KBR in Australia
Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
The Opportunity
KBR is seeking an experienced Data Analyst with strong financial background to support the Guided Weapons and Explosive Ordnance (GWEO). This role will provide critical data analysis, financial reporting, and project management support to enable informed decision‑making and successful delivery of Defence capability outcomes.
As part of the Project Management Services and Support team, the Data Analyst will work closely with project managers, sub‑project teams, and program stakeholders to analyse financial and resource data, maintain reporting systems, and support governance activities across the GWEO Enterprise.
Responsibilities:
- Supporting project managers with cost estimation, financial analysis, and project performance reporting.
- Conducting resource analysis and management support, including accounting activities, data analysis, reporting, and maintenance of mandated project management systems.
- Providing resource management support to JP2087 sub‑project teams.
- Supporting GWEO Enterprise program management outcomes through accurate data analysis and reporting.
- Undertaking financial analysis of approved program contract data against Additional Estimate (AE) and Budget Estimate (BE) approved budgets.
- Supporting the development and submission of Additional Estimate and Budget Estimate documentation, including consolidation of sub‑project data and budget inputs.
- Assisting project teams with monthly management of approved finances against project budgets and Integrated Investment Program (IIP) allocations.
- Supporting program governance activities, including preparation of monthly reporting deliverables.
- Preparing the Monthly Program Performance Report, with a focus on program financial health, trends, risks, and opportunities.
As the ideal candidate you will bring:
- Experience in data analysis, financial analysis, project controls, or project management support within a complex organisation.
- Strong analytical skills with the ability to interpret financial, resource, and performance data.
- Experience supporting Defence programs, government projects, or large‑scale capability programs (highly desirable).
- Strong proficiency in Microsoft Excel, Power BI, or similar data analysis and reporting tools.
- Experience with project management, financial management, or enterprise reporting systems.
- Strong attention to detail and the ability to manage competing priorities.
- Excellent communication skills and the ability to work collaboratively with project teams and stakeholders.
- Minimum AGSVA NV1 Security Clearance and Australian citizenship required to be eligible.
What we will offer you:
- A workplace culture certified as a Great Place To Work
- Flexible working
- Competitive salary (including annual reviews)
- Paid parental leave
- Income protection
- Corporate rewards
- Salary packaging/Novated leasing
- Employee stock purchase plans
- Flu shots, skin checks and discounted private health insurance
- Career development: Online learning, mentorship and career pathways
DAYS AND REMOTELY TRENDS WAIT FOR THE TIME ELSE APPLY FOR TODAY NO MORE CALL TO ACTIONS
If you’re ready to shape tomorrow, let’s get started. Apply Now!

As a Major Service Provider of the Australian Defence Force, an AGSVA security clearance will be required and compliance to International Traffic in Arms Regulations (ITAR). As such, our hiring decisions are based on the key requirements of each role and candidates are selected based on their unique strengths and experiences.

Notice to Third Parties/Recruitment Agencies: KBR Australia does not accept unsolicited resumes, or any liability associated with fees or costs from recruitment agencies, search firms or third parties who have not been engaged directly on this job opportunity. Candidates interested in applying are welcome to submit their application online.

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%

Applications close 2 Nov 2026

About the role

The NDIA’s title for this position is EL1 Data Analyst. It provides specialist data analysis, data discovery and data delivery support for complex ICT programs, projects and digital services.

Working in multidisciplinary delivery teams, the role examines complex data from internal and external sources, defines how data should be interpreted and used, and translates business needs into clear data requirements, mappings, rules and analytical outputs.

You will work closely with business owners, data engineers, business analysts, architects, developers, testers and technical specialists across the end-to-end data lifecycle, from source discovery and profiling through to ingestion, validation, reconciliation, reporting and production support.

The buyer has confirmed this is a new position, not a backfill, and that the role will primarily use SAS, SAS Studio and Snowflake, with a focus on SQL-based data analysis, mapping, transformation, validation and data quality. Snowflake is a key source platform for the data the role works with.

Estimated start 7 December 2026. 12-month initial contract with one 12-month extension option. 37.5 hours per week. Hybrid working is available subject to negotiation with the line manager, in line with current NDIA policy — a minimum of three days each week in the office, with flexible arrangements for the remaining two.

Applications must respond to each essential and desirable criterion below individually, in up to 3,000 characters each. The proposed rate should reflect the candidate’s skills and experience against those criteria; candidates who do not demonstrate them will not be assessed.

You must be able to obtain a Negative Vetting Level 1 security clearance.

Australian citizenship is mandatory. The successful candidate must provide evidence of citizenship during the pre-engagement check.

Responsibilities

Lead data discovery and profiling across complex internal and external datasets to understand their structure, content, quality, lineage, relationships, constraints, sensitivity and fitness for purpose.
Work with business and technical stakeholders to identify required data, clarify its business meaning, define the intended use and translate business outcomes into detailed data requirements, mappings, rules and analytical outputs.
Develop and maintain source-to-target mappings, data dictionaries, field definitions, data contracts, transformation rules, join logic, filtering rules, matching logic and other implementation-ready data specifications.
Analyse data using SQL and relevant analytics tools to identify duplicates, outliers, nulls, invalid values, inconsistent formats, referential issues and other data quality concerns.
Define practical options for cleansing, standardising, transforming, matching, de-duplicating and reconciling data, including exception handling, rejected records, historical data, initial and incremental loads and refresh processes.
Collaborate with data engineers and developers to translate approved mappings, data contracts and business rules into implementable ingestion, integration, migration and transformation logic, while maintaining clear end-to-end traceability.
Support the design and delivery of data pipelines, bulk ingestion processes, system integrations, migrations and data refreshes across cloud and on-premises environments by clarifying requirements, resolving data questions and reviewing technical outcomes.
Develop or prepare reusable datasets, SQL queries, analytical code, scripts, notebooks and supporting artefacts that enable profiling, transformation, reconciliation, testing and controlled implementation.
Validate source and target data against approved mappings and data contracts, reconcile counts and key measures, investigate failed or incomplete loads, and support resolution of defects, exceptions and production data issues.
Work with testers and business representatives to develop test scenarios, expected results and traceability from approved data requirements and mapping rules.
Produce clear analysis, dashboards, reports, visualisations and written advice for both technical and non-technical audiences where required by the program or project.
Identify and communicate data risks, assumptions, dependencies, limitations and gaps early, and provide evidence-based options and recommendations to delivery teams and senior stakeholders.
Apply relevant data governance, privacy, security, records management and information handling requirements throughout analytical and delivery activities.
Contribute to continuous improvement of data standards, documentation, reusable methods, quality controls and ways of working across data and digital delivery teams.

(NOTE: the key responsibilities of the role are based on current priorities and may change over time)

Skills & experience

Demonstrated extensive experience undertaking data discovery, profiling and analysis across complex datasets in an ICT, digital transformation or data delivery environment.
Strong practical experience using SQL and contemporary data analysis tools to interrogate complex data, develop analytical code or scripts, identify quality issues and undertake detailed technical investigation.
Demonstrated experience developing source-to-target mappings, data contracts, data definitions, transformation and business rules, join and matching logic, exception handling and other implementation-ready data specifications.
Demonstrated experience across the end-to-end data lifecycle: discovery, lineage and traceability, ingestion or integration, migration, initial and incremental loads, validation, reconciliation, defect investigation and implementation support.
Demonstrated ability to translate complex business and technical requirements into clear data artefacts and delivery specifications, communicating effectively with business stakeholders, engineers, architects, developers and testers.
Strong analytical, problem-solving, documentation and stakeholder engagement skills, with the ability to work independently at EL1 level and collaboratively in multidisciplinary delivery teams.

Nice to have

Experience with SAS Viya or SAS Studio, Snowflake, SQL, Python, Power BI, Talend, Azure data services or comparable data and analytics technologies.
Experience supporting large-scale data migration, bulk ingestion, cloud data platforms, system integration, data refresh or digital transformation initiatives in a complex environment.
Experience with data modelling, entity and relationship data, reference data, de-duplication, matching, lineage or reconciliation approaches.
Knowledge of Australian Government data governance, privacy, security and information management requirements.

Location: Canberra, Sydney, Melbourne, Brisbane, Adelaide, Hobart, Darwin, ACT

Employment type: Contract

Category: Business Analysis

Security clearance: NV1

Location: Canberra, Sydney, Melbourne, Brisbane, Adelaide, Hobart, Darwin, ACT

Equal Opportunity

We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will be considered without regard to race, religion, color, national origin, gender identity, sexual orientation, age, or disability.

Benefits