Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Reveal Media
Job Title Senior Data Analyst (Service Delivery & AI Analytics)
Department Service Delivery
Location Remote or Hybrid (split between site-based and home-working)
Country Flexible (UK/EU/US/Hong Kong)
Reports to Global Head of Service Delivery, IT & Repairs
Contract Type Permanent / Full-time
Contracted Hours/Days 37.5 hours / 5 days per week
Date: 29/01/26
About Us
At Reveal, passion meets purpose. Our body-worn video solutions are more than just technology; they're a testament to our commitment to safety, innovation and change. Rooted in the UK, we've become a trusted ally for many police forces, local authorities, retailers and private organisations; helping to pioneer and drive the application of body-worn video in settings and geographies where we can see exciting potential. With an influence now spanning over 40 countries, our mission to make a positive impact continues to gain momentum.
Purpose of the Role
The Senior Data Analyst will play a critical role in enabling data-driven decision-making across Reveal’s global service organisation. This role is responsible for extracting, transforming, analysing, and visualising data from multiple enterprise systems—including Azure, Salesforce, Halo ITSM, and repair/logistics platforms—to deliver high-quality insights for senior executives, sales teams, service delivery, engineering, product teams, and customers.
The role will design and maintain advanced Power BI dashboards, build robust data models, perform historical trend analysis, and develop forecasting and pattern-detection models to support operational planning and continuous improvement.
In addition, this role will contribute to the evolution of AI-enabled analytics, using Python and modern AI tools (e.g. Copilot and ChatGPT-style agents) to enhance insight generation, automate analysis, and enable self-service reporting capabilities across the business.
This role is critical to Reveal’s ability to scale service operations globally while maintaining service excellence, customer trust, and commercial performance. By combining advanced analytics, automation, and emerging AI capabilities, the Senior Data Analyst will help transform data into a strategic asset across the organisation.
Key Responsibilities
The following outlines the principal responsibilities of the role. This list is not exhaustive and may be updated to reflect business needs, provided it remains aligned with the overall purpose of the position.
Data Extraction & Integration
Design, build, and maintain reliable data pipelines to extract data from Azure, Salesforce, Halo ITSM, and other internal or third-party systems. Develop automated ETL processes to ensure timely, accurate, and scalable data refresh cycles. Work with development teams and system owners to integrate data via APIs and improve data availability. Build and maintain robust data models to support operational, commercial, and executive reporting. Analyse service delivery performance including SLAs, KPIs, MTTR, incident volumes, backlog trends, repair cycle times, and device failure patterns. Perform historical trend analysis and develop forecasting models to support capacity planning, staffing decisions, and risk identification. Identify patterns, anomalies, and systemic issues that impact service quality or cost-to-serve. Design and deliver high-quality Power BI dashboards tailored to different audiences, including senior executives, sales teams, service operations, and customers. Standardise KPI definitions and reporting structures across regions (UK, Germany, US, Hong Kong). Automate recurring reports and reduce reliance on manual, spreadsheet-based reporting. Ensure dashboards tell a clear, actionable story rather than simply presenting data.
AI-Enabled Analytics & Automation
Use Python to automate data processing, analysis, and reporting workflows. Contribute to the design and development of AI-assisted analytics solutions, including: Copilot-style or ChatGPT-based agents to support insight generation, reporting, or operational queries Natural-language interfaces for exploring service data Partner with stakeholders to identify high-value use cases where AI can enhance decision-making or operational efficiency. Provide analytical insight to support continuous improvement initiatives across service delivery and support operations. Support monthly and quarterly service reviews with strategic customers through high-quality analytics packs and performance narratives. Enable proactive decision-making by identifying emerging risks before they impact customers or SLAs.
Data Governance & Quality Assurance
Establish and maintain data governance standards, KPI definitions, and documentation. Ensure data accuracy, integrity, and consistency across all reporting outputs. Identify data quality issues and work with system owners to drive upstream improvements.
Stakeholder Collaboration
Work closely with Service Delivery, Engineering, Product, Sales, Finance, and Cust
Source: Reveal Media careers