Senior Data Analyst
Employment Info
JOB SUMMARY
Requirements
- At least five years of experience in data analytics, business intelligence, data science, digital, or a related technical environment.
- Experience working across complex and multidisciplinary projects, ideally in client-facing environments translating technical outputs into clear, useful recommendations.
- Experience working with complex structured and unstructured data, including messy datasets from operational systems, smart devices, spatial sources, emails, or other varied sources.
- Understanding of repeatable analytical workflows, documentation of assumptions, data-risk management, and translating findings into practical insights.
- Hands-on capability in data transformation, modelling, reporting, dashboarding, and business intelligence platforms such as Power BI.
- Experience with Python, SQL, relational and structured data manipulation, data warehousing, cloud data services such as Azure and/or AWS, and analytics or modelling software.
- Understanding of statistical concepts and methods and ability to support others in applying statistics to decision-making.
- Understanding of data quality, governance, compliance, privacy, ethical artificial intelligence, transparency, and bias considerations in analytical solutions.
Responsibilities
- Lead client and stakeholder discussions to understand business needs, define analytical questions, validate assumptions, and shape practical solutions.
- Break down complex problems into structured analytical steps by defining inputs, outputs, risks, data needs, assumptions, and repeatable workflows.
- Gather, analyse, process, and model large structured and unstructured datasets to create actionable plans and recommendations.
- Apply statistical, analytical, and business intelligence methods to interpret results, test hypotheses, identify trends, challenge assumptions, and uncover solutions to client challenges.
- Develop, maintain, and improve data pipelines, data models, dashboards, reports, and quality controls using digital tools, cloud services, and analytics platforms.
- Prepare and review high-level technical information, including reports, memos, presentations, models, software, and data outputs.
- Provide technical guidance, mentoring, and feedback to junior team members across analytics, business intelligence, data management, documentation, and quality practices.
- Communicate technical issues clearly, respond to feedback, and support proposals, pursuits, and future project opportunities.
Desired Qualifications
- Experience with Feature Manipulation Engine, geographic information systems, Ellipse, asset data, infrastructure, engineering domains, or Python-based software development.
- Experience in engineering and infrastructure industries such as mining, transport, property and buildings, or environmental science.
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