Senior Data Analyst

Cyber Security training courses; Greater London; Hybrid; GBP 48,000 - 80,000; Full time

Benefits offered by this job

Salary up to £80,000 + Bonus

Hybrid working

Modern tech stack: Snowflake, Azure, 1

Job summary

Cyber Security training courses is seeking a Senior Data Analyst in London (Hybrid) to turn data into commercial insight using Tableau, SQL and Python. You will own key analytics projects and mentor junior analysts, partnering with senior stakeholders to shape data-driven solutions.

The role involves Snowflake, Azure and AWS data platforms, hands-on analytics, dashboards, and governance of reporting best practices, with a focus on delivering measurable business value and scalable analytics

Qualifications

• 5+ years in Data Analytics, BI or Analytics Consulting.
• Strong Tableau experience with dashboard development and visual analytics.
• Advanced SQL skills and Python experience.
• Experience with Snowflake and Azure in cloud data platforms.

Responsibilities

• Design, build and optimise Tableau dashboards and reports.
• Turn complex datasets into actionable business insights.
• Write advanced SQL queries and work with large-scale data platforms.
• Manage analytics projects from requirements gathering through delivery.
• Engage with stakeholders to understand business challenges and provide data-driven solutions.
• Mentor and support junior analysts within the team.
• Drive best practices across reporting, visualisation and analytics delivery.
• Identify opportunities to expand analytics capabilities and add value.

Skills

Stakeholder management

Leadership

Mentoring

Tools

Tableau

SQL

Python

Snowflake

Azure

AWS

Job description

Senior Data Analyst - London (Hybrid) - Tableau - SQL /Python - Snowflake - Azure - AWS - Up to £80,000 + Bonus

Why Join?

We're partnering with a highly successful and data-driven organisation that continues to invest heavily in its Data & Analytics function. With a modern technology stack, significant growth plans and focus on innovation, this is an opportunity to join a business where data plays a critical role in driving commercial decision-making.

This role offers a unique blend of hands-on analytics, stakeholder engagement and leadership responsibility. You'll work with senior business stakeholders, mentor junior analysts and help shape data-driven solutions that deliver real commercial value. For candidates coming from consulting or client-facing environments, there is also the opportunity to leverage your commercial acumen and relationship-building skills in a high-impact role.

You Will Work With

• Designing, building and optimising Tableau dashboards and reports.
• Turning complex datasets into actionable business insights.
• Writing advanced SQL queries and working with large-scale data platforms.
• Managing analytics projects from requirements gathering through to delivery.
• Engaging with stakeholders to understand business challenges and provide data-driven solutions.
• Mentoring and supporting junior analysts within the team.
• Driving best practices across reporting, visualisation and analytics delivery.
• Identifying opportunities to expand analytics capabilities and deliver additional value to the business.

Benefits

• Salary up to £80,000.
• Performance-related bonus.
• Flexible hybrid working arrangements.
• Modern technology environment including Snowflake, Azure, AWS and AI tooling.
• High-profile projects with strong business visibility.
• Collaborative and supportive team culture.
• Learning, development and career progression opportunities.

Key Experience

• 5+ years' experience within Data Analytics, BI or Analytics Consulting.
• Strong Tableau experience, including dashboard development and visual analytics best practice.
• Advanced SQL skills.
• Python experience.
• Experience working with cloud data platforms, ideally Snowflake and Azure.
• Strong leadership, mentoring or people development experience.
• Excellent stakeholder management and communication skills.
• Commercially minded with the ability to identify opportunities to add value through data and analytics.
• Previous consulting, financial services or data-intensive industry experience would be highly beneficial.