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Data Analyst
Sydney, New South Wales, Australia • Teilzeit
Bewerben Sie sich als Erste/r!
- Erfahrung
- Beliebig
- Gehalt
- —
- Stellenangebote
- 1
- Veröffentlicht
- vor 2 Stunden
- Arbeitsmodus
- Im Büro
- Ausbildung
- Bachelor-Abschluss
- Wieder aufnehmen
- Bewerbung erforderlich
Wo Sie arbeiten werden
Stellenbeschreibung
Position Overview
We are looking for a meticulous and insightful Data Analyst to convert diverse datasets into actionable insights that drive strategic decision-making and operational efficiency. This role involves gathering, cleansing, analyzing, and interpreting data from various sources to uncover trends, patterns, and opportunities for business enhancement.
Key Duties
- Create reports and interactive dashboards to communicate findings effectively.
- Conduct thorough data validation and quality assurance processes.
- Develop compelling data visualizations for stakeholder presentations.
- Collaborate with teams to comprehend business needs, establish KPIs, and support strategic plans.
- Maintain data accuracy and document analytics procedures meticulously.
- Streamline reporting workflows and contribute to business intelligence efforts.
- Drive continuous improvement initiatives through data-driven analysis and recommendations.
Candidate Profile
- Holds a bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, IT, Business Analytics, or related fields.
- Possesses solid knowledge of data analysis techniques, statistics, and visualization best practices.
- Skilled in SQL for efficient data retrieval, manipulation, and validation.
- Experienced with Microsoft Excel and business intelligence tools such as Power BI or Tableau.
- Basic familiarity with Python or R programming for analytical automation is a plus.
- Understands relational databases, data modeling concepts, and data quality management.
- Capable of interpreting complex data sets and translating results into actionable business insights.
- Strong critical thinking, analytical, and problem-solving capabilities.
- Detail-oriented with dedication to data precision and integrity.
- Effective communicator able to convey technical information understandably to non-technical audiences.
- Well organized with the ability to prioritize multiple tasks efficiently.
- A proactive learner committed to ongoing advancement in data analytics and business intelligence.