Principal Data Analyst

TL;DR

Principal Data Analyst: Lead data analysis across major products, programmes and client portfolios with an accent on setting standards for analytical methods, data quality, governance and visualisation. Focus on overseeing scalable data products and dashboards, influencing strategic decisions through insights, and mentoring analysts.

West Midlands Only On Site

Company

Multidisciplinary organisation delivering data, AI, software engineering, product, QA and delivery outcomes for clients and end users.

What you will do

• Lead data analysis across major products, programmes or client portfolios aligned with organisational priorities.
• Set standards for analytical methods, data quality, documentation, reproducibility and quality assurance.
• Oversee design and delivery of scalable data products, dashboards, reports and insight packs.
• Influence senior stakeholders by translating data into strategic recommendations and business impact.
• Champion data management, governance, privacy and ethical data use across teams.
• Mentor analysts and develop data analysis capability and good practices.

Requirements

• Extensive experience leading data analysis in complex digital, operational or transformation environments.
• Expert understanding of statistical and analytical techniques, data management and visualisation standards.
• Ability to oversee quality assurance of analytical outputs across teams and projects.
• Strong stakeholder management and communication skills at senior and executive levels.
• Experience defining data models, quality standards and reusable analytical approaches.
• Ability to lead, mentor and grow data analysis capability in multidisciplinary organisations.

Nice to have

• Experience with BI platforms, SQL, Python/R, cloud data platforms and modern analytics engineering practices.
• Experience contributing to data strategy, governance frameworks or enterprise reporting standards.
• Experience in consulting, public-sector, regulated or client-facing delivery.

Culture & Benefits

• Work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery.
• Focus on creating practical outcomes for clients and end users.
• Opportunity to set and improve data analysis standards organisation-wide.