Senior Data Analyst

WSP
Brisbane
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving","Mentoring","Quality-focused"]

Lead client and stakeholder discussions to translate business needs into practical analytics, BI, and data engineering solutions. Work with large structured and unstructured datasets to model problems, test hypotheses, and produce dashboards, reports, and quality controls. Develop and maintain data pipelines, data models, and repeatable workflows using tools like Power BI, Python, SQL, and cloud services such as Azure/AWS. Provide technical guidance and mentoring to junior team members.

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FursaFursa
WSP
WSP
5 days ago

Senior Data Analyst

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Lead client and stakeholder discussions to translate business needs into practical analytics, BI, and data engineering solutions. Work with large structured and unstructured datasets to model problems, test hypotheses, and produce dashboards, reports, and quality controls. Develop and maintain data pipelines, data models, and repeatable workflows using tools like Power BI, Python, SQL, and cloud services such as Azure/AWS. Provide technical guidance and mentoring to junior team members.
Location: Brisbane
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Lead client and stakeholder discussions to understand business needs, define analytical questions, validate assumptions, and shape practical solutions.
  • •Gather, analyse, process, and model large structured and unstructured datasets to interpret results, test hypotheses, and identify trends.
  • •Develop, maintain, and improve data pipelines, data models, dashboards, reports, and quality controls using appropriate digital tools, cloud services, and analytics platforms.
  • •Prepare and review technical information including reports, memos, presentations, models, software, and data outputs.
  • •Provide technical guidance, mentoring, and feedback to junior team members and support client relationships by communicating technical issues clearly.

Key Requirements

  • •At least five years’ experience in data analytics, business intelligence, data science, digital, or a related technical environment.
  • •Demonstrated experience across complex, multidisciplinary projects, ideally in client-facing environments translating technical outputs into recommendations.
  • •Confidence working with complex structured and unstructured data, including messy operational/system and spatial data sources.
  • •Hands-on capability across data transformation, modelling, reporting, dashboarding, and BI platforms such as Power BI.
  • •Strong technical skills including Python, SQL, relational data manipulation, data warehousing, and cloud data services such as Azure and/or AWS.
Experience:5+ years
Skills:CommunicationCollaborationProblem-solvingMentoringQuality-focused
Tech Stack:Power BIPythonSQLAzureAWSFMEGISEllipse

Company Brief

WSP
Global professional services firm providing engineering, consulting, and technical services across infrastructure, environment, buildings, transportation, and energy sectors for public- and private-sector clients worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Montreal, Canada
Founded: 1959
WebsiteLinkedIn