Hybrid Senior Data Analyst

at CYOS Solutions

• Job title: Senior Data Analyst
• Job type: Contract
• Experience level: Senior
• Salary: A$100 - A$120 per hour
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, ETL, Python, SQL, Tableau
• Location requirements: Hybrid, Canberra, Australia

About the role

• Senior Data Analyst collaborating with AEC’s multidisciplinary data team to analyze electoral data and provide actionable insights. Involves data modeling, reporting and dashboard development in a hybrid work setting.

Responsibilities

• Collaborate with business stakeholders and cross functional teams to define requirements for data products, analytics, and reporting dashboards.
• Gather, clean, and analyse data from various systems to generate actionable insights.
• Develop and maintain automated reports and dashboards to monitor key metrics.
• Design, plan, and manage data migrations, including risk assessment, mapping, testing, and documentation to ensure successful transfer of data between systems.
• Provide subject matter expertise, helping to design and build new systems to perform analytics and detection of non-compliance in a regulatory context.
• Support workflow automation and troubleshoot data-related integration issues.
• Provide strategic recommendations and support process improvements based on data analysis.
• Perform additional duties or assume responsibility of functions as directed from time to time.

Requirements

• Bachelor’s degree in Computer Science, Communications, or a similar field.
• Proven experience as a data analyst, with strong technical skills in designing data models, developing databases, and using data mining and segmentation techniques.
• Able to write data queries, create reports, and clearly present findings.
• Strong analytical skills to collect, organise, analyse, and accurately interpret large datasets, identifying trends, patterns, and actionable insights.
• Expertise in developing dashboards and data visualisations using Power BI, Tableau, or similar BI tools.
• Ability to work in a team environment delivering a high level of customer service, with the ability to build strong working relationships and trust with clients, stakeholders and senior management.
• Excellent communication skills, with the ability to present complex technical findings clearly to non-technical stakeholders.
• Qualifications in Mathematics, Economics, Computer Science, Information Management or Statistics.
• Experience using reporting and statistical software, databases, and programming (SQL, Python, R, or ETL frameworks) for extracting, manipulating, automating, and analysing large datasets.
• Knowledge or experience working with Microsoft DevOps is highly desirable.
• Experience using any of the following software (Purview, Azure Data Factory, Profisee, ER Studio, Erwin).