We're partnering with a rapidly evolving leader in the Telecommunications sector, dedicated to optimising network performance, improving customer experience, and driving strategic growth through data insights. For the right candidate with the necessary skills and experience, we are pleased to offer 482 visa sponsorship.
This client requires a Senior Data Analyst to be a strategic partner to the business. You will own complex analytical projects, translating ambiguous business questions into testable hypotheses and delivering high-impact, actionable insights. This role demands leadership, mastery of statistical techniques, and the ability to influence executive decisions related to customer churn, network investment, and product pricing.
What You'll Do
- Lead the development of predictive and prescriptive models (e.g., customer churn forecasting, segmentation, Customer Lifetime Value (CLV)) using advanced statistical and machine learning techniques.
- Drive strategic projects by analysing network performance data, service usage patterns, and sales performance to identify and quantify opportunities for revenue optimisation and cost reduction.
- Design and execute advanced statistical analyses, including the rigorous design and analysis of A/B tests to measure the true impact of marketing and product changes.
- Serve as the data authority for key business units, clearly communicating complex analytical findings, assumptions, and limitations to executive and non-technical stakeholders.
- Mentor and guide junior analysts and stakeholders on analytical methodology, statistical rigour, and best practises in data visualisation.
- Contribute to data governance and quality initiatives, ensuring the analytical data assets are accurate, reliable, and fit for purpose.
What You'll Bring
- 6+ years of progressive professional experience as a Data Analyst or a similar role, with at least 2 years operating in a senior or lead capacity.
- Expert-level proficiency in SQL for complex querying and manipulating large, complex datasets, with a proven ability to optimise queries for performance.
- Expertise in a statistical analysis language (Python or R) and a proven track record of building and validating robust predictive models.
- Demonstrated expertise in advanced statistical methodologies (e.g., regression analysis, hypothesis testing, time-series forecasting).
- Strong proficiency in a major BI visualisation tool (Power BI or Tableau) for executive reporting and self-service analytics.
- Experience with A/B testing design and power analysis to ensure statistically sound business decisions.
- Exceptional communication and leadership skills, with a track record of driving change through data influence.
