EL1 Lead Data Analyst

Data Analysts undertake the design, analysis and delivery of relevant, trusted and objective statistics and data-related insights. Data Analysts apply analytical techniques and data management practices to interpret data, identify patterns, and generate insights that support organisational outcomes. They work with data throughout its lifecycle to improve data quality, understand business needs, and provide information that supports decision making, service delivery, and continuous improvement. Data Analyst Managers lead data management and analytical activities across business areas, establishing data standards, governance practices and strategic approaches that support enterprise-wide outcomes. They provide expert advice and drive data-informed solutions to address complex business challenges and organisational priorities. Key duties and responsibilities Duties may include some or all of the following:  Lead and support operations of the team including monitoring business performance, setting priorities, and managing resources and workflow Lead and manage staff including overseeing the management of performance, attendance and health and wellbeing Develop staff capability through coaching, mentoring and succession planning to increase performance, engagement and retention Undertake and assist with business management and workforce planning Collaborate with a broad range of internal and external stakeholders to achieve project outcomes Develop standard methodologies, processes and procedures for the data components of ICT and business projects Initiate adjustments to data policies and procedures as necessary to improve key performance indicators Contribute to and influence ICT strategy resolving conflicts as needed Assist with implementation of data quality programs, including measurements initiatives Prepare and review a range of written material including technical and corporate documentation Monitor and manage work output and quality against established performance standards through interpretation of quality analysis and reporting Assist with the management of finances, contracts, procurement, resources and expenditure within area of responsibility Manage team contribution to costing processes  Report on the achievement of business outcomes, key performance indicators and quality assurance to manage overall performance Encourage innovation, continuous improvement and manage and support change Attend interagency meetings and forums to influence business outcomes and share information Engage and partner with other agencies and service providers to build service delivery capability Assist with the development of strategies, operational policy and procedures and change initiatives Exercise delegation in accordance with legislation and guidelines. KNOWLEDGE/QUALIFICATIONS The ability to quickly gain in depth knowledge and understanding of: frameworks, legislation, policies, procedures and information management requirements relevant to the work area. the agency’s privacy, ethics, workplace health and safety and security protocols relevant business systems and tools Prior experience within government or similar large-scale organisation preferred. Criteria The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters. Essential criteria 1. Data communication: Level 3 (DCF) Can develop and deliver advanced level narrative to communicate insights drawn from complex data sources and outputs Maintains understanding of new trends and innovations relating to data communication (including Artificial Intelligence-based technologies) and develops skills in these where relevant Understands the importance of translating technical concepts into non-technical language, and can adapt communication effectively for a range of audiences. Can use innovative approaches to improve the process of summarising data into meaningful narratives Uses high quality analytics and visualisation to communicate insights from data Can effectively listen to technical and business stakeholders, and understand and interpret their data needs 2. Data outputs, products or services: Level 3 (DCF) Has expert knowledge about the production of a data output, product or service Provides expertise in developing new products or data services to meet evolving requirements, needs and opportunities. Can build the capability of others in the delivery of data outputs, products or services 3. Identify research questions: Level 3 (DCF) Uses a range of techniques to assess data needs and identify gaps, towards the formulation of appropriate research questions 4. Integrate data: Level 2 (DCF) Can perform data integration using standard tools and can implement quality controls Knows where to obtain expert advice on data integration as needed Is able to understand and amend existing code (programming language) to integrate data Can assess datasets' suitability for linkage and extract appropriately prepared datasets 5. Statistical data analysis: Level 3 (DCF) Contributes to the development of new functionality for statistical analysis applications, which enables new ways of doing things Can write custom scripts and code in a statistical computing language to conduct complex analytical tasks Maintains understanding of new trends and innovations relating to statistical data analysis (including Artificial Intelligence-based technologies) and develops skills in these where relevant 6. Subject matter expertise: Level 3 (DCF) Is an expert resource on the subject matter area associated with data use, including understanding and influencing the effective use of the data within that subject matter area and the relationship between that use and other data use contexts 7. Visualise data: Level 2 (DCF) Can readily produce a range of data visualisation outputs (including complex graphs and map visualisations) and can critically assess and enhance those produced by others Can select the most appropriate medium to visualise data Opportunity summary Sellers can submit Up to 3 candidates Number of sellers invited Between 5 and 10 Number of candidates submitted Fewer than 10 RFQ closing time 02 Weeks 00 Days 06 Hours Send us feedback About Accessibility Privacy Terms of use Disclaimer and copyright An initiative of the Digital Transformation Agency The Australian Government acknowledges the Traditional Owners of Country throughout Australia and acknowledges their continuing connection to land, waters and community. We pay our respects to the people, the cultures and the Elders past and present. © Commonwealth of Australia