Data Analyst
IFM Investors City of London, England, United Kingdom
Financial Services · 501-1,000 employees
About the role
The Data Analyst will transform marketing, client, and digital data into actionable insights to support business decision-making and growth. They will also develop dashboards and reporting tools to improve client experience and commercial outcomes across global teams.
What they look for
Requirements
Candidates should have a bachelor's degree in a relevant discipline and experience in data analysis, reporting, or marketing analytics. Strong analytical skills, proficiency in Excel, and familiarity with visualization tools like Power BI or Tableau are required.
Benefits
Full description
IFM Investors is a global asset manager, founded and owned by pension funds, with capabilities in infrastructure equity and debt, private equity, private credit, real estate and listed equities.
Our purpose is to invest, protect and grow the long-term retirement savings of working people. We believe healthy returns depend on healthy economic, environmental and social systems - and these are evolving on a scale never experienced before. To find opportunity, build value and meet the needs of future generations, you need scale, skill and expertise. That’s what IFM Investors has built up over 30 years.
With assets under management of approximately $291.1 AUD billion (at 30 June 2026), we prioritise the interests of over 883 institutional investors worldwide. IFM operates from 17 offices across Australia, Europe, North America and Asia.
For more information, visit ifminvestors.com.
The Opportunity
At IFM, you’re not just part of an investment company – but an invested one. We see the work we do as the chance to take sustainable, responsible steps forward for millions of people around the world. So, we have made sure to create a workplace that’s inclusive, accountable and collaborative. Where you’re given the opportunities to make a meaningful contribution and grow your skills. All while feeling valued and supported for who you are and what you bring to the team. Along with the chance to make a meaningful, positive difference from day one, we offer a competitive salary and generous leave entitlements. Our hybrid and flexible approach can vary by team and role, it is built around trust. We encourage our people to manage their work life rhythm in a way that works best for them and their teams.
Business Overview
Our Clients & Strategy team covers Business Development, Investor Relations, External Relations, Sustainable Investment and Brand, Marketing & Communications, including Internal Communications. It is responsible for all communications to investor prospects, existing investors and their asset consultants, as well as a broad range of other stakeholders, including governments and media.
The Role
The Data Analyst supports IFM's Client Experience, Data & Insights team by transforming marketing, client and digital data into actionable insights that support business decision-making, client engagement and growth. This role is suited to a recent graduate or early-career professional with strong analytical capability, curiosity and a desire to build practical skills in data analysis, reporting and insight generation.
Working across teams in London, New York and Melbourne, the role will support the development of dashboards, reporting, customer insights and marketing analytics that help improve client experience and commercial outcomes.
The role provides an opportunity to develop expertise in data visualisation, marketing analytics, CRM data, customer insights and emerging AI-enabled analytics tools.
Your Background and Experience
- Experience in data analysis, reporting, marketing analytics, business analytics or a related discipline.
- Strong analytical and problem-solving capability.
- Experience using Excel to analyse, interpret and present data.
- Exposure to reporting and visualisation tools such as Power BI, Tableau or similar platforms.
- Basic understanding of CRM systems (e.g. Salesforce) and digital marketing platforms.
- Ability to communicate insights clearly to both technical and non-technical audiences.
- Strong attention to detail, organisational and time management skills.
- Understanding of marketing performance metrics and customer analytics.
- Interest in financial markets and investment management.
Knowledge and Skills
- Foundational knowledge of SQL and other data querying languages.
- Exposure to Python, R or similar analytical tools would be advantageous.
- Understanding of data analysis concepts, including segmentation, reporting, trend analysis and performance measurement.
- Awareness of data management, data quality and governance principles.
- Familiarity with APIs and data integration concepts would be beneficial.
- Understanding of customer, digital and marketing analytics.
- Awareness of AI-enabled analytics, reporting and automation tools.
- Understanding of responsible AI principles, including data privacy, governance and the ethical use of data.
Competencies
- Strong analytical and problem-solving skills.
- Ability to synthesise information and identify meaningful insights.
- Curiosity, initiative and a growth mindset, with a commitment to continuous learning.
- Effective written and verbal communication skills.
- Ability to collaborate effectively across teams and geographies.
- Strong stakeholder engagement and relationship-building skills.
- High attention to detail and commitment to quality.
- Willingness to leverage Microsoft Copilot and other approved technologies to improve efficiency and effectiveness.
Desirable
- Experience working in financial services or another regulated environment.
- Exposure to Microsoft Fabric.
- Knowledge of marketing automation platforms such as HubSpot, Marketo or Pardot.
Qualifications
- Bachelor's degree in Business, Marketing, Computer Science, Data Analytics or a related discipline.
Business Knowledge
- Strong problem-solving capability and experience synthesising data into actionable insights.
- Understanding of how analytics and data-driven decision-making support business outcomes.
Technical Knowledge
- Familiarity with SQL databases and data structures.
- Basic understanding of CRM systems and customer data.
- Understanding of key marketing channels and associated performance metrics.
- Exposure to data visualisation and reporting tools.
- Awareness of data governance and data quality best practices.
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