Senior Data Analyst
14 hours ago
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 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.
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