Senior Consumer Data Operations Analyst - Hybrid at Experian

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

02 Aug, 26

Salary

0.0

Posted On

04 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data operations, Analytics, SQL, XML, Data investigation, Data quality, Governance, Audit, Regulatory compliance, Mentoring, Leadership, Problem-solving, Dataflows, Credit reporting

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We're looking for a Senior Consumer Data Operations Analyst to provide hands‑on analytical leadership across our Consumer Data Operations team in Australia and New Zealand. Reporting to the Manager, Consumer Data Operations, you will combine deep technical investigation with mentoring and operational leadership, acting as a trusted 2IC. What you'll do: Lead investigation and resolution of complex consumer data issues end to end. Monitor and improve inbound and outbound dataflows, data quality, and Service level agreements. Provide senior input to governance, audit, and regulatory activities. Mentor analysts and provide leadership cover when required. Partner with Technology and Data teams to improve processes and controls. Qualifications What you'll bring: 5+ years' experience in data operations or analytics. Problem‑solving experience with large‑scale data and dataflows. Hands‑on SQL and XML experience. Clear communication skills and experience supporting or mentoring others. Experience in regulated data environments or credit reporting is helpful, but not required. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Fixed Term Role Type: Hybrid Department: Data Management Schedule: Full Time

Responsibilities

Lead the investigation and resolution of complex consumer data issues while monitoring data quality and service level agreements. Provide senior leadership, mentor analysts, and collaborate with technology teams to enhance data governance and controls.