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Principal Data Analyst at Tekno park
Queensland, Queensland, Australia -
Full Time

Start Date

Immediate

Expiry Date

18 Nov, 26

Salary

0.0

Posted On

20 Aug, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Accounting & Tax Services

Description
  • Bachelor’s degree, diploma, or equivalent qualification in Data Analytics, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.
  • Strong understanding of data quality concepts, including accuracy, completeness, consistency, validity, uniqueness, and timeliness.
  • Familiarity with data validation, data profiling, data cleansing, reconciliation, and quality monitoring processes.
  • Basic to intermediate knowledge of SQL and relational database concepts.
  • Proficiency with Microsoft Excel, Google Sheets, or similar spreadsheet and data-management tools.
  • Familiarity with data visualization and reporting platforms such as Power BI, Tableau, Looker, or equivalent tools.
  • Understanding of databases, tables, fields, relationships, data structures, and common data formats.
  • Ability to identify missing, duplicated, inconsistent, inaccurate, or invalid information within datasets.
  • Strong analytical and investigative skills with the ability to identify potential root causes of data quality issues.
  • Ability to develop, document, and execute data quality rules, validation checks, and control procedures.
  • Strong attention to detail when reviewing datasets, reports, records, and data-related documentation.
  • Ability to prepare data quality reports, dashboards, summaries, and actionable recommendations.
  • Familiarity with data governance principles, metadata, data standards, and information management practices.
  • Understanding of data privacy, confidentiality, security, and responsible data-handling principles.
  • Strong written and verbal communication skills with the ability to explain data issues to technical and non-technical stakeholders.
  • Strong organizational and time-management skills with the ability to manage multiple data issues and remediation activities.
  • Ability to collaborate effectively with data engineers, developers, analysts, business teams, and process owners.
  • Familiarity with Python, R, or other data analysis technologies is advantageous.
  • Proactive and detail-focused approach with a strong interest in improving data reliability, operational efficiency, and business decision-making.

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Responsibilities