El1 Lead Data Analyst

Softtest Pays Pty Ltd; Canberra; On-site; AUD 110,000 - 140,000; Full time

Job summary

Softtest Pays Pty Ltd in Canberra is seeking an EL1 Data Analyst to provide specialist data analysis, discovery and delivery support for complex ICT programs and services. You will examine data across internal and external sources, translating business needs into data requirements and contracts.

You will work with data engineers, analysts, architects and testers through the data lifecycle, from discovery to production support, delivering reusable datasets, SQL queries and dashboards for

Qualifications

• Experience performing data analysis and SQL queries.
• Ability to translate business needs into clear data requirements and mappings.
• Knowledge of data governance, privacy, and security practices.
• Experience preparing dashboards and analytic outputs for technical and non-technical audiences.

Responsibilities

• Lead data discovery and profiling across diverse datasets to assess quality and lineage.
• Define data requirements, mappings, and data contracts with business and technical stakeholders.
• Develop source-to-target mappings, dictionaries, and transformation rules.
• Analyze data using SQL to detect duplicates, outliers, and data quality issues.
• Collaborate with engineers to implement data pipelines and ensure end-to-end traceability.
• Produce dashboards and reports for program stakeholders.

Skills

Data analysis

SQL

Data profiling

Data governance

Stakeholder engagement

Tools

Data visualization tools

SQL

Job description

Australian Citizens residing in Australia only respond.

Job details

Role/s: 1 x EL1 Data Analyst

The EL1 Data Analyst (Labour Hire) 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.

The role works 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.

Key duties and 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.

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