Data Mining Analyst salary in New Zealand

Average Yearly Salary of Data Mining Analyst in New Zealand is approximately 106,278 NZD (52,915 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Data Mining Analyst do?

A data mining analyst is responsible for collecting, analyzing, and interpreting large datasets to extract valuable insights and patterns. They utilize various statistical and mathematical techniques to identify trends, correlations, and anomalies within the data. This information is then used to make informed business decisions, improve operations, and optimize strategies. The primary tasks of a data mining analyst include developing and implementing data mining models, designing algorithms, cleaning and organizing data, and creating visualizations to present findings. They work closely with cross-functional teams to understand business requirements and translate them into actionable solutions. Strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of data mining tools are essential for this role.

Skills: Data Mining, Analyst, Big Data, Statistical Analysis, Machine Learning, Data Visualization
Job industry: Technology

How much does Data Mining Analyst make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Data Mining Analyst a well paid job?

Yes, our data shows that Data Mining Analyst is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Mining Analyst?

High salary for Data Mining Analyst would be somewhere between 116,906 NZD and 154,103 NZD. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Mining Analyst in New Zealand?

Living in New Zealand the approximate monthly expenses are: 1,938 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 106,278 NZD
Estimated Monthly Salary: 8,857 NZD
Estimated Weekly Salary: 2,044 NZD per week
Estimated Hourly Salary: 51 NZD per hour
By working as Data Mining Analyst a person can save up to 2,471 USD per month or 29,654 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in New Zealand, see costs of living in New Zealand.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Australia, Fiji, New Caledonia, Tonga, Samoa.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Mining Analyst

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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