Job summary

Melbourne, Australia, Oceania
Career Level:
Job type:

Data Mapping Officer

Job Summary

Ref: GDA211013.a


Our client is seeking the services of a data analyst to manage the data aspect of this exciting new environmental driven project. Your mapping skills will be most useful in planning and documenting the overall delivery of these services across the organizations network.


The position will liaise with staff from the Environmental, Property, GIS and Assets Services groups as well as a variety of other areas within the organization.

Your tasks will include writing and running data queries (SQL server) as well as data cleansing and identifying data coding issues. You will develop reports and assess the quality of enterprise data, work with SMEs, gather and implement solutions and engage with all stake holders to produce an optimized technology focused efficient data driven report.

Previous experience and or knowledge of local government land information management systems (Pathway) is required for this new 12 month fixed-term role.


Working from your home office you will have access all the required data, professional personnel and technology to produce first class reports. Travel to and working from our client’s office will also be required (when return to work is possible).


About this job

You will be available for an online interview on a few days’ notice.

In the first instance all candidates will email a copy of their updated resume (word.doc format ONLY) together with a one page cover letter to

Your cover letter should provide a comprehensive summary of your spatial industry experience, notation of your qualifications and direct contact details including your state/city of residence.

Only Australian or New Zealand based candidates with at least 5 years data analysis, spatial industry experience, appropriate industry training, qualifications and those who have emailed a copy of their resume as well as a cover letter will be considered for this fixed term Data Analyst role.

Job keywords/tags:  Data Analysis , ArcGIS , SQL Server
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