Lead Data Analyst

Lead Data Analyst

Be among the first 25 applicants.

Job Description

At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group.

Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry's best talent. Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders and society.

We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.

Aberdeen comprises three businesses:
Interactive Investor (ii), Investments And Adviser, and Investments.

The Data Insights Team plays a critical role in enabling data‑driven decision‑making across the organisation. We deliver high‑impact analytics, build scalable data products, and foster a culture of insight‑led thinking. Our work supports strategic priorities and helps elevate analytical maturity across Aberdeen.

As a Lead Analyst, you will lead complex analytical projects, mentor junior team members, and act as a trusted partner to stakeholders. This role blends hands‑on technical delivery with leadership and team enablement, helping embed a data‑driven culture and drive continuous improvement.

• Lead delivery of complex analytics projects, ensuring outputs are robust, scalable, and aligned with business needs.
• Build and optimise Power BI dashboards and data models using advanced DAX, SQL, and/or Python.
• Translate data into actionable insights through compelling narratives and visualisations.
• Collaborate with stakeholders to shape technical solutions and communicate outcomes clearly.
• Ensure analytics outputs meet governance, privacy, and compliance standards.
• Promote reusable data assets and support documentation of data definitions.
• Mentor Analysts and Senior Analysts, fostering a collaborative and high‑performing team culture.
• Champion best practices and explore emerging technologies like AI to enhance insight generation.

• Strong proficiency in DAX, SQL and/or Python.
• Experience developing and optimising Power BI dashboards and data models.
• Solid understanding of data architecture and modelling principles.
• Familiarity with Microsoft Fabric and cloud‑based data platforms (desirable).
• Knowledge of data governance and compliance standards.
• Excellent communication and stakeholder engagement skills.
• Proven ability to lead, mentor, and drive continuous improvement.

Aberdeen is a Disability Confident committed employer. If you have a disability and would like to apply, please complete the relevant section in our candidate questionnaire; one of our team will reach out to support you through your application process.

Your reward package includes 40 days annual leave, a 16% employer pension contribution, discretionary performance‑based bonus (where applicable), private healthcare and a range of flexible benefits including gym discounts, season ticket loans, and access to an employee discount portal.

Whatever way you like to work, if you have the talent and commitment to join our team, we'd like to hear from you.

Aberdeen has adopted a blended working approach. This combines the benefits of face‑to‑face collaboration, coaching and connecting in our offices with the flexibility of working from home. It enables colleagues to find a balance that works for their roles, their teams, our clients and our business.

We’re committed to providing an inclusive workplace where all forms of difference are valued and which is free from any form of unfair or unlawful treatment. We define diversity in its broadest sense – including but not limited to educational and professional backgrounds, experience, cognitive and neurodiversity, age, gender, gender identity, sexual orientation, disability, religion or belief and ethnicity – and support a culture that values meritocracy, fairness and transparency.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Information Technology
• Industries:
  Technology, Information and Media