Data analyst jobs in new zealand
Here are some data analyst job openings in New Zealand:
Wellington
- Data Analyst at Wellington City Council (Wellington) - $65,000 - $85,000 per year
- Data Analyst at Ministry of Education (Wellington) - $60,000 - $80,000 per year
- Data Analyst at Statistics New Zealand (Wellington) - $55,000 - $75,000 per year
Auckland
- Data Analyst at Auckland Council (Auckland) - $65,000 - $85,000 per year
- Data Analyst at Fonterra (Auckland) - $60,000 - $80,000 per year
- Data Analyst at Spark New Zealand (Auckland) - $55,000 - $75,000 per year
Christchurch
- Data Analyst at Christchurch City Council (Christchurch) - $60,000 - $80,000 per year
- Data Analyst at Canterbury District Health Board (Christchurch) - $55,000 - $75,000 per year
- Data Analyst at Environment Canterbury (Christchurch) - $50,000 - $70,000 per year
Other locations
- Data Analyst at Bay of Plenty Regional Council (Tauranga) - $55,000 - $75,000 per year
- Data Analyst at Nelson City Council (Nelson) - $50,000 - $70,000 per year
- Data Analyst at Waikato District Health Board (Hamilton) - $55,000 - $75,000 per year
Job requirements
- Bachelor's degree in a relevant field (e.g., mathematics, statistics, computer science)
- Strong analytical and problem-solving skills
- Proficiency in Microsoft Office, particularly Excel
- Experience with data visualization tools (e.g., Tableau, Power BI)
- Familiarity with programming languages (e.g., Python, R, SQL)
- Strong communication and interpersonal skills
Salary range
- $50,000 - $85,000 per year, depending on the organization, location, and level of experience
Job search resources
- Seek (New Zealand's largest job search website)
- Trade Me Jobs (New Zealand's second-largest job search website)
- Indeed (global job search website with New Zealand listings)
- LinkedIn (professional networking site with job search features)
- Government job boards (e.g., Public Service Commission, Ministry of Education)
Remember to tailor your resume and cover letter to the specific job requirements, and prepare for common data analyst interview questions. Good luck with your job search!