Senior Customer Operations Analyst

thales; Belfast City District; Hybrid; GBP 52,000 - 75,000; Full time

Job summary

Thales, based in Belfast, seeks a Senior Customer Operations Analyst to own the Customer Intelligence data platform and drive CS efficiency. You will manage Planhat configurations, automation and AI features, ensuring accurate data across Planhat and Snowflake.

You will partner with IT and Data teams to deliver reliable reporting and data quality for leadership. You will be hands-on in building dashboards in PowerBI, maintaining data definitions, and guiding CS teams on tooling usage.

Qualifications

• Proven ability to turn data into actionable insights for leadership.
• Experience with Planhat or similar Customer Success platforms.
• Strong SQL skills and data-wrangling with Snowflake/SaaS data sources.
• Ability to document requirements and translate them into tooling.

Responsibilities

• Lead administrator for Planhat with configuration, workflows and automation.
• Integrate Planhat with Snowflake, Salesforce and other systems, coordinating with IT.
• Develop and maintain AI features to assist Customer Success teams.
• Design and improve onboarding, reviews, renewals handovers and engagement processes.
• Build reporting in Planhat and PowerBI for leadership and operational view.

Skills

Data analysis

SQL queries

Workflow automation

Stakeholder communication

Tools

Planhat

Snowflake

Salesforce

PowerBI

AI/LLM tooling

Job description

Location: Belfast Arnott House, United Kingdom

Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services.

Title: Senior Customer Operations Analyst

Team: Customer Intelligence, Customer Success

Reports to: Director, Customer Intelligence

Base location: Belfast, N. Ireland (Hybrid model)

About the Role

Imperva, A Thales Company, is seeking a Senior Customer Operations Analyst to join the Customer Intelligence team within our Customer Success organisation. This role keeps Customer Success running on accurate data, efficient processes and well-used tools. You will be the go-to person for how Customer Success operates: running our Customer Success platform (Planhat), keeping customer data accurate across Planhat and Snowflake, improving the processes our Customer Success teams use every day and producing the reporting that shows leaders how the business is performing, as well as putting AI to work for our Customer Success teams through Planhats AI suite, in house LLM's and other relevant technologies. You will work alongside Customer Success leadership to turn data into practical improvements for our teams and customers. This is a hands‑on, senior individual-contributor role for an experienced analyst who combines strong data skills with a passion for making operations work better.

Key Responsibilities

Customer Success Platform & Systems

• Act as lead administrator and subject‑matter expert for Planhat, managing configuration, workflows, playbooks, automation and ongoing optimisation.
• Support system integration and data ingestion between Planhat, Snowflake, Salesforce and other business systems, working with IT and Data Engineering.
• Gather, document and prioritise requirements for new tooling, automation, reporting and process changes.

AI & Automation

• Configure, roll out and continuously improve AI features within Planhat, such as account summaries, AI-assisted insights and automated workflows, so they genuinely help Customer Success teams in their day‑to‑day work.
• Work with our in‑house LLM to build and refine AI‑powered use cases for Customer Success, such as account and meeting summaries, answering questions about customers, and drafting customer communications.
• Write, test and refine prompts, and prepare and maintain the customer data and knowledge sources the AI tools draw on, making sure outputs are accurate, relevant and useful.
• Identify manual, repetitive tasks across Customer Success and find ways to remove them using AI and automation.
• Train and support Customer Success teams in using AI tools effectively and responsibly, gathering feedback to improve them.
• Make sure AI use follows company data security, privacy and responsible‑AI guidelines, working with IT, Security and Data teams.

Operational Process & Enablement

• Design, maintain and continuously improve Customer Success operational processes, such as onboarding, account reviews, success plans, renewals handovers and customer engagement, using data to measure how well they work.
• Provide enablement and training to Customer Success teams on Planhat, reporting and processes, and create clear documentation and guides.
• Act as the first point of contact for Customer Success teams on tools, data and process questions, resolving issues and spotting recurring needs.
• Contribute to cross-functional projects with Sales, Product, Finance and Support that affect how Customer Success operates.

Data Quality & Governance

• Own data quality across Customer Success data, identifying issues and driving them to resolution at the source.
• Write and maintain SQL queries and data sets in Snowflake to support Customer Success reporting and operations.
• Maintain clear data definitions, field standards and documentation so teams use data consistently.

Reporting & Operational Insight

• Build, maintain and continuously improve Customer Success reporting in Planhat and PowerBI, from leadership dashboards to day‑to‑day operational views for Customer Success.
• Analyse product usage, customer engagement and operational data to answer business questions, track team performance and highlight areas to improve.
• Present findings and recommendations clearly to Customer Success teams, project leads and business leaders, including data for business reviews and leadership updates.
• Collaborate with the Data Strategist on customer health and retention insight, making sure the data behind it is accurate and the results are visible to Customer Success teams.
• Work with stakeholders to understand their needs, set priorities and manage multiple projects at once.
• Share knowledge with and support less experienced analysts and Customer Success co