People Data Quality Analyst

Sydney, NSW

UNSW

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People Data Quality Analyst 

  • Employment Type: Full Time (35 hours per week)
  • Duration: 12-month Contract
  • Remuneration: Level 7 $110,073 - $119,132 (depending on experience) + 17% super + leave loading
  • Location: Kensington, NSW (hybrid)

Join UNSW as a Data Quality Analyst and ensure the accuracy, consistency, and integrity of our data. Work with key teams across People & Culture and HR Solutions to resolve inconsistencies and uphold high data standards, empowering smarter, data-driven decision-making across the organisation.

About UNSW:

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. It’s the reason we’re one of the top 20 universities in the world and a member of Australia’s prestigious Group of Eight. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

Why your Role Matters:

The Data Quality Analyst is responsible for ensuring the accuracy, consistency, and integrity of the organisation’s data. By analysing data, developing reports/dashboards and identifying trends, anomalies, and inconsistencies, the Data Quality Analyst plays a critical role in detecting data issues and implementing corrective measures. This position works closely with data stewards (owners and key users) within People & Culture (including the P&C HRBP, Systems and Workforce Analytics & Reporting teams), HR Solutions and UPP and other stakeholders to uphold data quality standards and ensure that decision-making across the organisation is informed by reliable data.

The role reports to the Head of People Data and Insights and has no direct reports.

Responsibilities:

  • Develop, monitor, and review regular and ad-hoc data quality reports and dashboards.
  • Identify data anomalies, inconsistencies, and patterns that may indicate data quality issues.
  • Perform root cause analysis on data issues and identify appropriate solutions.
  • Investigate data quality issues, including missing, duplicate, or erroneous data.
  • Work with data stewards (owners and key users), process owners and technical teams to design and implement solutions that rectify data inconsistencies.
  • Develop and document data correction workflows to resolve identified issues effectively.
  • Establish and enforce data quality standards and best practices across the organization.
  • Ensure compliance with relevant legislation, internal policies (including UNSW Enterprise Agreements), data governance policies, privacy regulations, and industry standards.
  • Regularly review data management processes and suggest improvements to enhance data quality.
  • Liaise with various stakeholders, including data stewards (owners and key users), business units, and technical teams, to understand data requirements and address quality concerns.
  • Act as a point of contact for data quality issues, offering guidance and support to other team members.
  • Present data quality findings and improvement recommendations to management and relevant teams.
  • Continuously monitor data quality metrics and identify opportunities for improvement.
  • Work proactively to prevent future data issues by refining data entry, validation, and storage processes.
  • Conduct training sessions to raise awareness of data quality best practices across the organisation.

Skills and Experience:

  • Bachelor’s degree in data science, Information Technology, Business Analytics, or a related field.
  • Proven experience in data quality, data analysis, or a related role.
  • Proficiency in data analysis tools (e.g., SQL, Excel, Python).
  • Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills, with attention to detail.
  • Understanding of data governance, data management practices, and regulatory compliance.
  • Excellent communication skills, with the ability to convey complex data issues clearly.
  • Knowledge of data quality tools (e.g., Informatica, Talend).
  • Familiarity with data governance frameworks.
  • Experience in project management or quality assurance.

For further details on role responsibilities and skills & experience required, refer to the position description found under the position listing on Jobs@UNSW

Benefits and Culture:

People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world.

Our benefits include:

  • Flexible working options.
  • Career development opportunities.
  • 17% Superannuation contributions and additional leave loading payments.
  • Additional 3 days of leave over Christmas period.
  • Discounts and entitlements (retail, education, fitness).

For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits

How to Apply: Submit your CV & a succinct one-page cover letter detailing your interest and suitability for the job (as per the skills & experience bullet points in the job description) by 11:55pm, 31st January 2025
Please note: Sponsorship is not available for this role, valid Australian working rights are required on application.

Contact: Amy Denney a.denney@unsw.edu.au - Talent Acquisition Team
Please apply directly through the website, applications sent to the contact above will not be accepted.

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff.

The University reserves the right not to proceed with any appointment.

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Category: Analyst Jobs

Tags: Business Analytics Data analysis Data governance Data management Data quality Data visualization Excel Informatica Power BI Privacy Python SQL Tableau Talend

Perks/benefits: Career development Equity / stock options Fitness / gym Flex hours

Region: Asia/Pacific
Country: Australia

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