R
Data Analyst (Entry/Junior)
Réseau Centres de Soins Faune Sauvage
Australia · Tam zamanlı
Başvuran ilk kişi siz olun
- Deneyim
- Herhangi
- Maaş
- —
- Açılışlar
- 1
- Yayınlandı
- 2 saat önce
İş tanımı
Role Overview
We are seeking an early-career Data Analyst who can turn raw information into clear, useful insights that help guide business decisions and support growth. This role is suited to someone who is detail-focused, comfortable working with numbers, and eager to build a career in analytics and business intelligence.
Key Responsibilities
- Gather data from multiple business systems and prepare it for analysis by cleaning, organizing, and structuring it properly.
- Review datasets to spot trends, patterns, and practical insights that can inform decisions.
- Create reports, dashboards, and visual summaries for business use.
- Track KPIs and other operational metrics on an ongoing basis.
- Run data checks, validate outputs, and help maintain reporting accuracy.
- Work with internal stakeholders to understand reporting needs and business expectations.
- Share findings and recommendations in a concise, understandable way.
- Contribute to analytics initiatives and process-improvement efforts that rely on data.
Requirements
- Foundational knowledge of data analysis, statistics, and reporting principles.
- Strong skills in Microsoft Excel; SQL familiarity is preferred.
- Exposure to Power BI, Tableau, or similar BI tools will be an advantage.
- Knowledge of Python, R, or comparable analytical tools is a plus.
- Good analytical judgment and a sharp eye for detail.
- Strong problem-solving abilities and effective communication skills.
- Ability to handle large datasets carefully and efficiently.
- A degree, diploma, or relevant training in Data Analytics, Statistics, Mathematics, Business, Economics, IT, or a related discipline is preferred.
What We Offer
- Practical exposure to real analytics and reporting work.
- Mentoring and opportunities for professional development.
- A collaborative and encouraging team environment.
- Access to modern data tools, technologies, and BI platforms.
- Competitive compensation and strong long-term growth potential.
- A workplace culture that values innovation, ongoing learning, and knowledge sharing.