Data Analyst (Customer Operations)

TL;DR

Data Analyst (Customer Operations): Developing data pipelines, transforming data, and building reports to drive strategic and operational decision-making with an accent on customer service efficiency and actionable KPIs. Focus on modelling data from business systems to be insight-ready and optimizing contact center operational environments.

Location: Hybrid (2 days in office) or Remote, based in London, UK

Company

hirify.global is a FTSE 250 company that simplifies essential home services by providing energy, broadband, mobile, and insurance in one place.

What you will do

• Interrogate data in Google BigQuery and develop data pipelines for analysis and reporting.
• Build a portfolio of reports and dashboards using Looker Studio.
• Curate trusted data models to enable self-service analytics.
• Manage the access and distribution of reports and ensure business alignment and trust in numbers.
• Adopt best practice data management techniques to service operations managers and team leaders.

Requirements

• Solid experience in SQL and familiarity with data modelling concepts.
• Experience with Google BigQuery (preferred) and relational/non-relational data sources.
• Proficiency in Google Looker Studio or similar data visualization tools.
• Experience in requirements gathering and stakeholder management.
• Knowledge of Google Sheets and fundamental statistical concepts.
• Experience supporting a Contact Centre operational environment.

Culture & Benefits

• Competitive industry-benchmarked salary and share options (Save As You Earn Scheme).
• 25 days holiday plus Bank Holidays, with the option to buy or sell up to 5 days.
• Comprehensive health package: discounted healthcare, medical cash plans, and a free Virtual GP service.
• Financial security with a private pension scheme and life insurance up to 4x salary.
• Wellbeing support including an Employee Assistance Programme, virtual fitness classes, and wellness tools.
• Access to professional development and industry conferences (e.g., NeurIPS, ICML).