Data Analytics Manager

AJ BELL BUSINESS SOLUTIONS LIMITED; Greater Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading financial investment platform is seeking a Data Analytics Manager responsible for leading a team of BI professionals. The position focuses on prioritizing workloads, managing stakeholder expectations, and delivering quality analytics projects that enhance the business's decision-making capabilities. This role is ideal for candidates with proven skills in SQL, Power BI, and team management.

Qualifications

• Proven experience leading a multidisciplinary team including BI professionals and data scientists.
• Strong organizational skills to manage priorities and deliverables.
• Ability to communicate technical concepts to all stakeholders.

Responsibilities

• Lead and develop a team of BI professionals and data scientists.
• Ensure timely completion of BI and data deliverables.
• Drive the development of self-service data mentality.

Skills

Leadership

Communication

Stakeholder Management

Problem-Solving

Education

Proficiency in SQL

Experience with Power BI

Familiarity with Python

Job description

The Data Analytics Manager will be responsible for leading and developing a team of BI professionals and data scientists. This includes ensuring that requests are appropriately prioritized and workload is efficiently managed across both BI and data science functions. The role will drive the development of a self-served data mentality across the business and lead the execution of advanced analytics projects, adding significant value to the wider business.

The ideal candidate will have strong leadership, communication, and stakeholder management skills, as well as hands-on expertise in SQL, Power BI, and data science tools such as Python.

Team & Workload Management

• Line management responsibilities for a team of BI developers and data scientists to support the MI, data insights, and advanced analytics needs of the wider business.
• Support team development through regular 1-2-1s, performance reviews, identification of training requirements, and fostering a shared learning culture.
• Through your team, provide business support in creating reporting datasets, BI reports, dashboards, and predictive analytics models.
• Prioritize requests and manage team workloads, balancing short-term reporting needs with longer-term data science initiatives.
• Ensure all deliverables are completed within timelines and to high-quality standards.

Delivering Quality of Service

• Maintain regular communication with stakeholders to keep them informed of the status and progress of their requests.
• Ensure all BI and data science deliverables are accurate, actionable, and meet business requirements.
• Implement quality control and peer review measures to prevent inconsistencies across outputs.
• Maintain a single source of truth for data and ensure consistency across reporting and data science outputs.
• Stay current with business data changes and stakeholder requirements to keep insights relevant.

Development of the Department

• Support the business in fostering a self-served data mentality, reducing dependency on static reports.
• Oversee the development of departmental dashboards and self-service analytics tools.
• Guide the data science team in designing, testing, and deploying models and analytics solutions that improve decision-making and operational efficiency.
• Provide senior management with regular updates on insights, trends, and opportunities identified through BI and data science work.
• Lead the evaluation and adoption of new BI and data science technologies to enhance team effectiveness.
• Identify opportunities to integrate automation, AI, and advanced analytics into BI and broader business functions.

Qualifications

• Leadership & Team Management – Proven experience leading a multidisciplinary team including BI professionals and data scientists.
• BI & Data Science Expertise – Proficiency in tools such as SQL, Power BI, Python, and ML frameworks.
• Project & Workload Management – Strong organizational skills to manage priorities, deadlines, and multiple deliverables.
• Stakeholder Engagement – Ability to communicate technical concepts to all stakeholders.
• Problem-Solving & Innovation – A proactive and innovative approach to resolving data-related challenges and identifying new opportunities for data-driven value creation.

About us

AJ Bell is one of the fastest-growing investment platform businesses in the UK, offering an award-winning range of solutions for everyone, from professional financial advisers to DIY investors with little to no experience. We have over 593,000 customers managing assets totaling more than £90.4 billion. Our customers trust us with their investments, and by continuously striving to make investing easier, we aim to help even more people take control of their financial futures.

Listed on the London Stock Exchange's Main Market in December 2018, AJ Bell is now a FTSE 250 company. Headquartered in Manchester with offices in central London and Bristol, we have over 1,500 employees and have been named one of the UK's 'Best 100 Companies to Work For' for six consecutive years, including 2024 as a Great Place to Work.

At AJ Bell, our people are the heart of our culture. We believe in building strong connections through teamwork. We offer a hybrid working model, where you’ll spend a minimum of 50% of your time in the office each month. For new team members, an initial period of full-time in-office work will help you settle into our business and build valuable relationships.

AJ Bell is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and employees are empowered to bring their whole selves to work. We do not discriminate based on race, sex, gender identity, sexual orientation, age, pregnancy, religion, physical or mental disability, marital status, or any other characteristics protected by the Equality Act 2010. All hiring decisions are based on qualifications, merit, and business need.