Data Analytics Manager

Location: Leeds, Hybrid (2 days p/w in office)

The type of person:

We’re looking for a hands‑on manager who combines technical expertise with the ability to lead, develop, and inspire a team on a day‑to‑day basis. You’ll need to be confident managing both internal team members and external stakeholders – and just as comfortable rolling up your sleeves to get into the data yourself.

You will have:

• 5+ years’ experience in data analytics with a proven track record of delivering impactful insights.
• Proven line management experience (in any form) – managing, coaching, or developing a team of 2–3 people (minimum).
• Experience leading and mentoring analysts, data scientists, or BI developers.
• Strong technical skills in SQL and Python.
• Demonstrated ability to turn complex datasets into actionable, strategic recommendations.
• A track record of working in client-facing roles, ideally in a consultancy or project-based environment.
• The ability to thrive in a fast‑paced setting, managing multiple priorities at once.

The role:

As Data Analytics Manager, you’ll be both a leader and a doer:

• Lead, manage, and develop a team of 2–3 data analysts, ensuring their growth, performance, and engagement.
• Act as the primary point of contact for key client stakeholders, building strong, trusted relationships.
• Partner with clients to understand their business challenges, objectives, and analytical requirements.
• Get hands‑on when needed – from deep data dives to code reviews.
• Oversee the quality, timeliness, and impact of the team’s deliverables.
• Translate insights into actionable strategies that drive business performance.
• Champion knowledge‑sharing, best practices, and continuous learning within your team.
• Collaborate closely with other teams to deliver end‑to‑end solutions.

Desired skills & experience:

• Strong coding skills in Python and SQL, with solid MS Excel capabilities.
• Excellent stakeholder management skills – able to adapt communication for technical and non‑technical audiences.
• Meticulous attention to detail, with a proactive approach to validating work and setting high standards.
• Ability to break down complex client needs into clear, actionable recommendations.
• Prior experience of working with customer data

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