Data Analyst
Data Analyst
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a highly motivated Data and Reporting Analyst to join our growing
Product & Technology team in Sydney NSW. Drive is an iconic Australian brand with an
average online monthly audience of 3 million. This role will play a critical part in driving
business insights performance tracking and product intelligence across our digital
platforms. Youll work closely with Product Marketplace Marketing and Commercial
teams to surface meaningful insights that support decision-making experimentation and
consumer understanding.
Day to day you will:
- Design and deliver dashboards reports and deep-dive analysis across audience product content and commercial performance.
- Build and maintain automated reporting pipelines using tools like GA4 BigQuery Looker Studio and Google Console.
- Translate business questions into structured analytical problems and deliver clear actionable recommendations.
- Support A/B and multivariate testing frameworks and analyse experiment results to validate product hypotheses.
- Collaborate with stakeholders to define KPIs success metrics and data definitions to ensure consistency and alignment.
- Identify trends and anomalies in large datasets and proactively share insights with relevant teams.
- Partner with engineering and data teams to validate data quality and ensure robust tagging tracking and data flows.
- Document and maintain data dictionaries and reporting standards to support internal literacy and governance.
- Provide ad-hoc analysis and insights to support strategic projects product launches and commercial initiatives.
Qualifications :
What youll bring:
Essential Skills and Experience:
- 3 years experience in a data analyst or reporting analyst role preferably within digital e-commerce or media.
- Mastery and proficiency in Excel and web analytics platforms such as Google Analytics.
- Strong analytical and problem-solving skills with a high attention to detail.
- Familiarity with A/B testing statistical analysis and experimental design.
- Excellent communication and stakeholder engagement skills especially around data literacy and storytelling with data.
- Comfortable working in a fast-paced environment across cross-functional teams.
- Exposure to digital media automotive or marketplace environments.
Nice-to-Haves:
- Experience with BigQuery SQL Python or R for data analysis and automation.
- Experience with AI automation analysis or reporting capabilities.
- Experience in stakeholder training or developing self-service data tools.
- No automotive experience is required but a love for all things cars is always a
- plus.
Additional Information :
How we work
At Nine our flexible work options vary by role and team. Depending on the position this may include flexible hours hybrid work or part-time arrangements. We welcome discussing your flexibility needs during the hiring process - just ask the Talent Acquisition team.
Our employee benefits include:
- 18 weeks paid parental leave with no distinction between primary and secondary carers.
- Access to Employee Exclusives program - a way of getting closer to our incredible brands offering unique experiences behind-the-scenes access and awesome perks.
- Digital newspaper subscription to our mastheads.
- Annual gift voucher for Stan subscription.
More info at Nine Careers.
Our Commitment to Diversity and Inclusion:
Were committed to a safe respectful and inclusive Nine. From day one youll be encouraged to bring your whole self to work and will be supported to perform at your best.
We encourage applications from Aboriginal and Torres Strait Islander people people with disabilities and of all ages genders nationalities backgrounds and cultures as we recognise the importance and value of diverse perspectives. Should you require any adjustments to the recruitment process please advise us when you apply.
Work rights: Please note to apply for this role you must already have the right to lawfully work and live in Australia.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
