Data Analyst

Data Analyst

Full-Time 50000 - 60000 £ / year (est.) Home office (partial)
AustralianSuper

At a Glance

  • Tasks: Enable high-quality investment decisions through trusted data and governance.
  • Company: Join AustralianSuper, one of the world's largest pension funds.
  • Benefits: Enjoy flexible hybrid working, professional development, and career growth.
  • Why this job: Make a real impact on investment decisions that support millions.
  • Qualifications: Tertiary qualifications in STEM or finance; experience in data operations preferred.
  • Other info: Collaborative environment with opportunities to work on complex data platforms.

The predicted salary is between 50000 - 60000 £ per year.

Enable high-quality investment decision-making through trusted, well-governed data. Work at the intersection of investments, data platforms, and governance in a global asset owner. Flexible hybrid working to support your wellbeing and work-life balance.

About Us

At AustralianSuper, our purpose is simple: to help members achieve their best possible retirement outcomes. As one of the world's largest pension funds, operating within Australia's $3.9 trillion superannuation industry, we are navigating a rapidly evolving landscape shaped by regulation, technology, and changing member expectations. Our Data Services function, within Fund Services, is a newly established capability responsible for building a best-in-class data governance, management, and operations framework across the Fund. Based in London, this role supports the global investment function by ensuring the accurate, timely, and reliable delivery of investment data to decision-makers and analytical teams.

The Opportunity

This is an exciting opportunity to join a growing investment data capability at a pivotal stage of its development. As an Analyst, Investment Data Services, you'll play a key role in enabling trusted investment data across front-office, operational, and analytical teams. You'll work across data acquisition, mastering, production, and governance - operating as a subject matter expert on investment data platforms and collaborating closely with technology, investment, and operations stakeholders.

  • Monitor daily data controls and database updates to ensure accurate and timely delivery of investment data.
  • Troubleshoot data pipeline disruptions in partnership with technology teams and communicate impacts to downstream users.
  • Build and configure investment data platforms (including LUSID) in line with business requirements.
  • Lead cross-functional collaboration with Front Office, Operations, and Project teams to gather and validate data requirements.
  • Establish and maintain high standards of data quality, accuracy, and governance across systems and platforms.
  • Conduct fitness-for-purpose assessments on data sources to ensure alignment with business needs.
  • Act as a subject matter expert on IBOR data schemas, supporting standardisation, configuration, and BAU operations.
  • Design and manage data packages, SLAs, filters, and transformations to meet diverse consumption needs.
  • Collaborate with platform vendors to design, build, and test data integration pipelines.
  • Support data stewardship through metadata management and business term development.
  • Contribute to governance, compliance, and risk management in line with the Fund's Risk Management Framework.

What You’ll Bring

You're a detail-oriented and analytically minded data professional who enjoys working with complex investment data, improving data quality, and partnering across teams to deliver meaningful outcomes. To succeed in this role, you’ll bring:

  • Experience within investment management or an asset owner, ideally in a data operations or data services role.
  • Strong understanding of financial markets and instruments across multiple asset classes.
  • Experience working with investment and data platforms such as Finbourne LUSID and Informatica.
  • Exposure to market and investment platforms such as Aladdin (highly desirable), MSCI BarraOne, S&P Ilevel, or Calypso.
  • Solid understanding of ETL processes, data acquisition, and data mastering concepts.
  • Strong knowledge of the differences between IBOR and ABOR and their application within asset management environments.
  • Working knowledge of SQL, Python, and APIs.
  • Excellent stakeholder management and communication skills, with the ability to influence through data knowledge and attention to detail.
  • A collaborative mindset and the ability to contribute effectively within cross-functional teams.

Qualifications

Tertiary qualifications in STEM, Commerce, Finance, Accounting, or a numerate discipline (mandatory). CFA (or candidate) and data science training are viewed favourably.

Why Join Us?

At AustralianSuper, we’re committed to creating an inclusive, flexible, and high-performing environment where everyone can contribute meaningfully. You’ll Benefit From:

  • A flexible hybrid working model designed to support balance and wellbeing.
  • The opportunity to work at the heart of a global investment organisation.
  • Exposure to complex, enterprise-scale investment data platforms and governance frameworks.
  • Ongoing professional development and career growth opportunities.
  • The chance to make a real impact by enabling high-quality investment decisions that support millions of members.

What’s Next?

If you’re passionate about investment data, governance, and enabling better decision-making at scale, we’d love to hear from you. At AustralianSuper, we strive for an inclusive recruitment process. If you require adjustments at any stage, please let us know. Shape the future. Lead with purpose. Grow with AustralianSuper.

Data Analyst employer: AustralianSuper

AustralianSuper is an exceptional employer that prioritises employee wellbeing through a flexible hybrid working model, fostering a high-performing and inclusive culture. As part of one of the world's largest pension funds, employees have access to ongoing professional development and the opportunity to work with complex investment data platforms, making a meaningful impact on the retirement outcomes of millions. Join us in London at King's Cross and be part of a team that values collaboration and innovation in the investment sector.
AustralianSuper

Contact Detail:

AustralianSuper Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to folks in the investment data space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Prepare for interviews by brushing up on your knowledge of financial markets and investment platforms. Be ready to discuss how your skills can help improve data quality and governance.

✨Tip Number 3

Showcase your analytical mindset! Bring examples of how you've tackled complex data challenges in the past. This will demonstrate your problem-solving skills and attention to detail.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining us.

We think you need these skills to ace Data Analyst

Data Governance
Data Quality Management
Investment Data Platforms
Data Acquisition
Data Mastering
ETL Processes
SQL
Python
APIs
Stakeholder Management
Communication Skills
Analytical Skills
Attention to Detail
Cross-Functional Collaboration
Financial Markets Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience in investment management and data services, and don’t forget to showcase your skills with SQL, Python, and any investment platforms you’ve worked with.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about investment data and how your background makes you a perfect fit for our team. Keep it concise but impactful!

Showcase Your Analytical Skills: In your application, be sure to highlight specific examples of how you've improved data quality or solved complex data issues in previous roles. We love seeing real-world applications of your analytical mindset!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at AustralianSuper

✨Know Your Data Inside Out

Make sure you brush up on your knowledge of investment data platforms like Finbourne LUSID and the differences between IBOR and ABOR. Being able to discuss these topics confidently will show that you're not just familiar with the tools, but that you understand their application in real-world scenarios.

✨Showcase Your Analytical Skills

Prepare to discuss specific examples where you've improved data quality or resolved data issues in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for interviewers to see your problem-solving skills in action.

✨Communicate Effectively

Since this role involves collaboration across various teams, practice explaining complex data concepts in simple terms. Think about how you can demonstrate your stakeholder management skills and your ability to influence decisions through data knowledge during the interview.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's data governance framework and how they measure success in their data services function. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.

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