Part-Time Data Entry Analyst Hiring Immediately

Prosearch; Sydney; Hybrid; AUD 133,000 - 147,000; Full time

Benefits offered by this job

Flexible work

Flex time

Learning opportunities

Wellbeing programs

Parental leave

Job summary

NSW Treasury is seeking a Senior Data Analyst to design, develop and maintain Power BI dashboards for performance management across Treasury. You will analyze complex data from multiple systems, establish data quality, and support self-service analytics through documentation and training.

You will collaborate with business units to translate needs into analytics products, define data requirements, and ensure a single source of truth through robust data contracts and governance.

Qualifications

• Experience designing ETL/ELT processes for data movement and transformation.
• Experience exploring and analysing structured and non-structured data for ingestion into data transformation processes.
• Azure Cloud technology experience working with Engineering, Storage and Analytics services.
• Working with multi-disciplinary teams using an Agile methodology.
• Experience working with Infrastructure as Code delivery (Terraform).
• Experience working with Data Lakes.

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 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 loads, 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.

Skills

ETL/ELT design

Structured data analysis

Azure cloud

Agile methodologies

Data governance

Tools

Terraform

Data Lakes

Job description

Job Description

Australian Citizens residing in Australia with Baseline Clearance only respond.

As Senior Data Analyst, you will design, develop and maintain intuitive, accessible and visually effective Power BI dashboards that support performance management and informed decision-making across Treasury.

You will analyse complex data from multiple systems and sources, applying reconciliation, validation, testing and investigation to identify trends, risks, opportunities and meaningful insights. You will also help strengthen data quality, reporting reliability and a consistent single source of data truth.

Working in partnership with business units, you will translate business needs into sustainable analytics products, identify enhancement opportunities and support self-service analytics through training, knowledge sharing, clear documentation and practical guidance.

You will be joining our Financial Management and Services Group and will be working within the Information Technology & Asset Services Division.

Key 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 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 loads, 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.

Requirements

• Experience designing ETL/ELT processes for data movement and transformation.25%
• Experience exploring and analysing structured and non-structured data for ingestion into data transformation processes.25%
• Azure Cloud technology experience working with Engineering, Storage and Analytics services.25%
• Working with multi-disciplinary teams using an Agile methodology.25%
• Experience working with Infrastructure as Code delivery (Terraform)50%
• Experience working with Data Lakes50%

Required Skills: Storage Analytics Infrastructure Engineering

Employment Details

Employment Type: Ongoing

Remuneration: $133,348 - $146,945; plus, Superannuation and Leave Loading

Location: Sydney CBD, Flexible working options available

Applications Close: Tuesday, 17 November2026 at 11:59pm

Benefits

• Flexible work at our Sydney office with 35-hour standard weeks
• Accrual of flex time for extra hours worked, promoting work-life balance.
• Ongoing learning opportunities through expert-led sessions and online training
• Wellbeing programs to support your mental and physical health.
• Various leave options, including paid parental and carers leave.

Our Commitment to Diversity, Inclusion and Belonging

NSW Treasury is committed to building a workforce that reflects the diverse communities we serve, where everyone feels welcome, supported and able to contribute and do their best work.

We are committed to fair and equitable recruitment processes and encourage applications from people of all backgrounds, including First Nations peoples, people with disability, people of all ages and genders, LGBTQIA+ people, and people from diverse cultural, linguistic and religious backgrounds.

We actively support workplace and recruitment adjustments to remove barriers and enable equitable participation. If you require an adjustment or assistance at any stage of the recruitment process, please contact the Talent Advisor listed on the job advertisement or visit the following link for more information.

To be eligible to apply for ongoing employment at NSW Treasury, you must be an Australian or New Zealand citizen or permanent resident of Australia.

NSW Treasury does not provide relocation expenses, nor can we support employer-sponsored work visas unless specifically referenced in the advertisement.

The successful candidate will be required to undergo background checks and provide confirmation of tertiary academic qualifications before commencement.

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