Canberra, Australian Capital Territory 2600, Australia

Full-time Contract Associate

Description

Employment typeContract

CategoryBusiness Analysis

Security clearanceNV1

LocationCanberra, Sydney, Melbourne, Brisbane, Adelaide, Hobart, Darwin, ACT

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 adaptable 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 its intended use, and translate business outcomes into detailed data requirements and agreed data contracts.
- 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, maintaining end-to-end traceability.
- Support the design and delivery of data pipelines, bulk ingestion, system integrations, migrations and data refreshes across cloud and on-premises environments by clarifying requirements, resolving data questions and reviewing technical outcomes.
- Prepare reusable datasets, SQL queries, analytical code, scripts, notebooks and supporting artefacts for 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 help resolve 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 technical and non-technical audiences where the program or project requires it.
- Identify and communicate data risks, assumptions, dependencies, limitations and gaps early, with evidence-based options and recommendations for delivery teams and senior stakeholders.
- Apply data governance, privacy, security, records management and

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