Data Analyst / Data Scientist

Company:
Location: Sydney NSW

*** Mention DataYoshi when applying ***

About the role:
This role is responsible in writing SQL and or Python scripts to transform data from external systems into a common data model.

Responsbilities :
The Data Analyst will be responsible for Writing SQL and or Python scripts to transform data from external systems into a common data model.

Recommending changes to the common data model.

Documenting the transformation rules used.

Interacting with suppliers of data for progressive improvement in the data sets.

Skills, Experience & Qualifications

Degree qualified and 3-5 years data/development experience or 5-8 years of IT experience in data.

Expert SQL skills.

Competent Python skills.

Must be able to write Technical Documentation.

Interested in Applying?

Please click on Apply directly or share an updated CV to hturlapati@ paxus.com.au with reference ID as : 200202289, submission closes soon.

To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Harini Turlapati on 02 94645532 or email: Hturlapati@paxus.com.au and quote the above job reference number.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process please contact me on the above contact details.

12 month Contract with potential to extend

Strong experience on SQL and Python required

Close to public Transport and Flexible work Culture

*** Mention DataYoshi when applying ***

Offers you may like...

  • Evolent Health

    Senior Data Analyst (Remote)
    Remote
  • Ferguson

    Data Analyst - Internal Audit
    Newport News, VA
  • Weyerhaeuser

    Temporary Hydrologic Data Analyst - 24 month's ter...
    Seattle, WA
  • UnitedHealth Group

    Data Analyst I - Telecommute
    Eden Prairie, MN 55346
  • BVAccel

    Senior Data Analyst
    Remote