EL1 Lead Data Analyst

Softtest pays pty ltd; Brisbane; Sur place; AUD 90 000 - 130 000; Plein temps

Résumé du poste

Softtest pays pty ltd in Brisbane is seeking an EL1 Data Analyst to provide specialist data analysis, discovery and delivery support for complex ICT programs. You will examine data from multiple sources, define interpretation rules and translate business needs into data requirements, mappings and outputs.

You will work with data engineers, analysts, architects and developers across the data lifecycle, from source discovery to ingestion, validation and production support.

Qualifications

• Experience with data discovery, profiling and data requirements gathering.
• Ability to translate business needs into data contracts and mappings.
• Strong SQL and data analytics skills with experience in data governance.

Responsabilités

• Lead data discovery and profiling across complex internal and external datasets to understand structure, quality, lineage and fitness for purpose.
• Identify required data, clarify business meaning, define data requirements and data contracts.
• Develop and maintain mappings, data dictionaries, field definitions and transformation rules.
• Analyse data using SQL and analytics tools to identify data quality issues and anomalies.
• Define options for cleansing, standardising and reconciling data including load processes.
• Collaborate with data engineers to implement ingestion, integration and transformation logic with end-to-end traceability.
• Support data pipelines design, bulk ingestion, migrations and data refreshes across cloud and on-prem environments.
• Create reusable datasets, SQL queries, scripts and notebooks for profiling, reconciliation and testing.
• Validate data against mappings and contracts, investigate failed loads and production data issues.
• Work with testers to develop test scenarios and traceability from requirements and mappings.
• Produce dashboards, reports and visualisations for technical and non-technical audiences.
• Communicate data risks and recommendations to delivery teams and stakeholders.
• Apply data governance, privacy, security and records management requirements.

Connaissances

SQL

Data Analysis

Data Profiling

Data Governance

Data Contracts

ETL

Data Pipelines

Cloud

On-Premises

Formation

Bachelor’s degree in IT/Data Science

Outils

SQL

Python

Power BI

Azure Data Factory

Description du poste

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)