Senior Data Analysts

Senior Data Analyst

Australian citizenship required. No PR or Work Visa holders. Must be able to obtain Baseline security clearance.

RFQ Details

RFQ ID: LH-02643

Closing Date: Monday, 28 April 2025 11:59pm (Canberra time)

Estimated Start Date: Monday, 12 May 2025

Initial Contract Duration: 6 months

Extension Term: 12 months

Number of Extensions: 1

Experience Level: APS6 equivalent

Security Clearance: Must be able to obtain Baseline

Client Details

Agency: Department of Industry, Science and Resources

Location of Work: Remote

Working Arrangements: Team supports flexible work arrangements

Maximum Hours: 7.5 hours per day

Job Details

The Business Grants Hub Data Section is seeking a highly skilled Senior Data Analyst to lead and manage various data projects, including the development of Power BI reports. You will work closely with our experienced and collaborative team to extract, analyse and visualise complex data sets to support the administration of grants and enhance decision-making processes.

Key Duties and Responsibilities

Liaising with stakeholders to understand and document their data needs and translate these requirements into reporting products

Leading the development of advanced Excel and Power BI reporting products to support program managers and provide insights to stakeholders and the executive

Managing ad-hoc data and reporting requests across diverse subject matters and datasets

Developing, implementing, and maintaining SQL queries and scripts for efficient data extraction and transformation

Maintaining DAX, PowerQuery M, data models, and visuals within Power BI dashboards

Ensuring data quality, integrity, and security in all data-related processes in accordance with departmental and Australian Government policies

Technical Skills

High proficiency in SQL, DAX, and PowerQuery M; experience with relational SQL databases

Expertise in Power BI for data visualisation and reporting

Experience with Python, R or other data analysis tools

Familiarity with statistical analysis and predictive modelling

Interest in emerging data analysis and science technologies, such as machine learning

Selection Criteria

Max 5000 characters total in one-page pitch (individual responses not required)

Essential Criteria

1. Business intelligence: Level 2 (SFIA)

Assists with the creation of regular business intelligence reports using standard tools.

Supports data preparation from existing sources.

2. Data communication: Level 2 (DCF)

Can develop and deliver effective narrative to communicate insights drawn from a range of data sources and outputs

Can comfortably question data and results they are presented, and answer technical questions relating to their data, relevant to the audience

Can communicate effectively between technical and non-technical experts across data production, management, or use, including clients, managers and data professionals

Can effectively communicate the relationship between the data and the context in which it is used

3. Data outputs, products or services: Level 2 (DCF)

Is responsible for the production of a data output, product or service

Can create data outputs or products and deliver data services in accordance with established processes and systems, and can explain decisions made at all stages

4. Data visualisation: Level 3 (SFIA)

Uses a visualisation product, as guided, to design and create data visuals

Selects appropriate visualisation techniques from the options available

Engages with the target user to prototype and refine specified visualisations

5. Statistical data analysis: Level 2 (DCF)

Can use specialist statistical applications for statistical models

Is able to understand and amend existing code (programming language) to conduct analytical tasks