Data Analyst

Senior Data Analyst :: Melbourne (hybrid) :: 12 Months Contract Excellent Opportunity for a Senior Data Analyst!!! Opportunity to work for an Australian Government Client!!! Duration: 12 Months Work Arrangement: Hybrid Location: Melbourne CBD Day Rates: $57/Hour + super Your new role: • Perform administrative, technical and customising tasks in the data environment • Control and assist with the data management process, including loading, creating, maintaining, analysing and distributing data • Assist in the processing of data, including matching and maintaining specific object data • Develop data standards and provide input to strategy for the solution • Manage globally controlled master data elements • Monitor data quality by undertaking periodic audits • Detect data inconsistencies and utilise defined error-handling procedures • Resolve data integration issues related to data in their area of expertise • Ensure the alignment of business data requirements with the enterprise application • Establish and maintain data business rules and security specifications • Establish data retention criteria • evaluate, define, integrate and organise data coming from multiple operational systems • Provide broad data modelling support for project build, test and implementation activities • Provide documented data modelling solutions as required, encompassing conceptual, logical and physical models, and database implementation artefacts • Ensure all data model designs are reviewed for consistency with existing standards • Assist in the development of, and execution of, data quality programmes • Collaborate with stakeholders to resolve issues and ensure effective and timely implementation of projects • Contribute to the development and implementation of improvements and best practice in processes and procedures • Draft and contribute to the development of reports, executive briefs, corporate documentation and communications for executive audiences What you'll need to succeed: • Demonstrated experience as a data analyst and ability to demonstrate knowledge/skills transfer • Structured Query Language (SQL), and spreadsheet proficiency – experience with data warehousing concepts (including working with production data (e.g. DB2) and Enterprise Data Warehouse (EDW) (e.g. Teradata)) • Demonstrated experience: • with data reporting for regular and adhoc operational/management reporting, responding to data requests and facilitating data exchanges (incl. using SAS). • with source to target mapping with attention to detail for accurate data extraction and meaningful interpretation of transformation logic. • metadata management (including using Aristotle) with a good understanding of data governance principles and compliance with data standards • data analysis – strong analytical skills are necessary for interpreting complex datasets and delivering actionable insights (including the ability to represent data logically and physically). What you need to do now: If this sounds like you, please click 'Apply Now', or please send your updated CV to Nitika.singh@hays.com.au Hays appreciates the importance of workforce diversity and inclusion. We are an equal-opportunities employer and have policies, procedures and relationships in place to promote our understanding of all forms of diversity.#3017380