Data Analyst at AI Talent

AI Talent; Sydney; Hybrid; AUD 70,000 - 120,000; Full time

Benefits offered by this job

Work from home

Job summary

AI Talent is seeking a Data Analyst to transform raw data into actionable insights in a fast-paced, collaborative environment. You will gather, process, and interpret data to support strategic decisions, using Power BI/Tableau/Looker, SQL, and Python or R. Experience with data governance and privacy matters is essential.

The role offers hybrid work arrangements in Australia with visa sponsorship potential. You will communicate findings clearly to diverse stakeholders and contribute to continuous

Qualifications

• Bachelor's degree in a data-related field.
• Proficiency in data analysis and visualization tools (Power BI, Tableau, Looker).
• Strong SQL skills and programming experience in Python or R.
• Knowledge of data governance and privacy considerations.

Responsibilities

• Establish and maintain secure data collection, storage, processing, and validation processes.
• Evaluate data accuracy and reliability across sources; resolve discrepancies.
• Analyze complex datasets to identify trends and provide data-driven answers.
• Create reports, dashboards, and presentations for technical and non-technical stakeholders.
• Collaborate with cross-functional teams to translate requirements into analytical solutions.

Skills

Power BI

Tableau

Looker

SQL

Python

R

Data governance

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, or related field

Tools

Azure

AWS

Google Cloud

Job description

This Visa sponsorship job abroad position offers great opportunities for career growth. We are looking for a detail-oriented and analytically minded Data Analyst to join our team and play a key role in transforming raw data into meaningful business insights. In this position, you will gather, process, and interpret data to support strategic decision-making across the organisation. The ideal candidate is highly proficient with data tools and visualisation techniques, communicates findings clearly, and thrives in a collaborative, fast-paced environment.

Key Responsibilities

• Establish and maintain secure processes for collecting, storing, processing, and validating data to ensure integrity across all stages of the data lifecycle
• Evaluate the accuracy, completeness, and reliability of data from multiple sources, identifying and resolving discrepancies as required
• Analyse and interpret complex datasets to produce relevant statistics, identify trends and patterns, and provide data-driven answers to business queries
• Apply data analytics and visualisation techniques to uncover actionable insights that support operational and strategic goals
• Develop clear, compelling reports, dashboards, and presentations to communicate findings to both technical and non-technical stakeholders
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
• Write custom scripts and code in languages such as Python, R, or SQL to automate analytical tasks and streamline data workflows
• Implement and adhere to data governance frameworks, ensuring all data usage is ethical, compliant, and aligned with organisational policies
• Monitor data pipelines and reporting systems, proactively identifying and resolving issues that may affect data quality or availability
• Support the continuous improvement of data collection methodologies, reporting tools, and analytical processes across the business

Required Qualifications & Skills

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, or a related field
• Demonstrated experience in a data analyst or similar role, with a strong portfolio of analytical work
• Proficiency in data analysis and visualisation tools such as Power BI, Tableau, or Looker
• Strong working knowledge of SQL for querying and manipulating large datasets
• Experience with programming languages such as Python or R for data analysis and automation
• Solid understanding of statistical methods, data modelling, and analytical best practices
• Ability to interpret and communicate complex data findings clearly to diverse audiences
• Familiarity with data governance principles, data quality standards, and privacy legislation including the Australian Privacy Act
• Strong attention to detail, problem-solving skills, and the ability to manage competing priorities effectively
• Excellent written and verbal communication skills with a collaborative approach to working across teams

Preferred Qualifications

• Postgraduate qualification or certifications in Data Analytics, Business Intelligence, or a related discipline (e.g. Google Data Analytics Certificate, Microsoft Certified: Data Analyst Associate)
• Experience working with cloud-based data platforms such as Azure, AWS, or Google Cloud
• Exposure to machine learning concepts or predictive modelling techniques
• Experience in an Agile or cross-functional project environment
• Industry experience in sectors such as finance, healthcare, retail, or government

Why Join Us?

• Be part of a collaborative, inclusive team culture that values curiosity, innovation, and continuous learning
• Enjoy flexible working arrangements, including hybrid work options to support work-life balance
• Access ongoing professional development opportunities, including training, certifications, and conference attendance
• Contribute to meaningful, high-impact projects that drive real business outcomes across the organisation
• Competitive remuneration package with additional benefits including superannuation, wellness initiatives, and career progression pathways

Job Details

• Job Type: Full-time, Permanent
• Work Schedule: 8-hour shift
• Salary: $70,000 – $120,000 per year + Super
• Job Types: Full-time, Permanent
• Pay: $70,000.00 – $120,000.00 per year
• Benefits: Work from home
• Application Question(s): Are you currently in Australia? Are you looking for visa sponsorship? How many years of experience do you have?
• Work Location: Hybrid remote in Barangaroo NSW 2000