6 дней назад
Business Intelligence Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Intelligence Data Analyst (SQL/BI): Delivering operational reporting, dashboards, and actionable analysis for the Roadside business with an accent on data visualisation, governance, and stakeholder-focused insights. Focus on maintaining trusted data definitions, monitoring data quality, and translating complex business questions into reliable decision-support outputs.
Location: Sydney Olympic Park, Australia; hybrid model with 2 days in the office and 3 days working from home
No salary information provided.
Company
is an Australian member-owned organisation operating roadside assistance, electric vehicle charging, rewards, parks and resorts, car rental, ferry and cruise businesses.
What you will do
- Own and deliver recurring operational and performance reporting using trusted, governed data sources.
- Design, build and maintain dashboards and visualisations in BI and supporting tools.
- Partner with operational, technical, finance and customer stakeholders to structure analytical requirements.
- Deliver ad-hoc analysis and insights for decision-making, investigations and continuous improvement.
- Maintain data definitions, lineage and refresh schedules while monitoring data quality and reporting reliability.
- Work within sprint and backlog processes and apply data governance, privacy and access controls.
Requirements
- 3–5 years of experience in BI, analytics or data analysis, or equivalent professional experience.
- Strong SQL capability across complex datasets.
- Experience designing and delivering intuitive dashboards using BI platforms.
- Strong analytical judgement, data visualisation skills and attention to data quality.
- Ability to explain insights and limitations clearly to non-technical audiences and manage competing priorities.
- Degree in Analytics, STEM, Information Systems or a related discipline, or equivalent experience.
Nice to have
- Experience with AI-enabled tools for analysis, automation or decision-making.
- Working knowledge of Python, R, Power Query/M, analytics engineering or CI/CD.
- Experience in Agile or sprint-based delivery environments.
Culture & Benefits
- Flexible hybrid work model with 2 office days and 3 work-from-home days.
- Ongoing learning, paid training and development opportunities.
- Progressive flexibility and well-being benefits.
- Complimentary myNRMA Rewards membership with discounts across groceries, entertainment, fitness, travel and dining.
- Career mobility opportunities across the and different locations.
Hiring process
- Applications are reviewed as they are submitted.
- Successful applicants complete pre-employment checks.
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