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For Companies At a Glance
- Tasks: Own the performance framework and drive product decisions for AI features.
- Company: Join a dynamic team delivering innovative AI solutions for government clients.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make a real impact in government projects while developing your analytics skills.
- Qualifications: 3-5 years in performance analytics, strong SQL skills, and experience with GA4.
- Other info: Eligibility for SC clearance is required; prior government experience is a plus.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
- Define KPIs/OKRs and a measurement plan for AI features.
- Implement event analytics (GA4), and data flows into BigQuery/Redshift.
- Build decision-ready dashboards (Looker Studio/QuickSight).
- Run and analyse A/B tests; make clear, actionable recommendations.
- Establish AI evaluation metrics (e.g. task success, guardrail breaches, hallucination rate, latency, cost per outcome).
- Ensure data quality, governance and privacy compliance
Essential experience
- 3–5 years in performance/product analytics for digital services.
- Strong SQL and warehouse experience (BigQuery/Redshift).
- GA4 implementation and analysis.
- Dashboarding with Looker Studio or AWS QuickSight.
- Proven delivery in agile, multi-disciplinary teams; translating insight into roadmap decisions.
Desirable
- Python for analysis; dbt or similar.
- Observability for LLM/agentic systems (prompt/version telemetry, HITL oversight).
- Solid statistics for experimentation and practical significance.
Please apply for further details.
Performance Analyst - AI - Government employer: SR2
Contact Detail:
SR2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Analyst - AI - Government
✨Tip Number 1
Familiarise yourself with the specific KPIs and OKRs relevant to AI features in government settings. Understanding these metrics will help you articulate your insights and recommendations during interviews.
✨Tip Number 2
Brush up on your SQL skills, especially with BigQuery and Redshift. Being able to demonstrate your proficiency in these tools will set you apart, as they are crucial for data analysis in this role.
✨Tip Number 3
Gain hands-on experience with GA4 and dashboarding tools like Looker Studio or AWS QuickSight. Having practical examples of how you've implemented these in past projects can significantly boost your candidacy.
✨Tip Number 4
Stay updated on the latest trends in AI evaluation metrics and experimentation statistics. Being knowledgeable about current best practices will show your commitment to the field and your ability to contribute effectively.
We think you need these skills to ace Performance Analyst - AI - Government
Some tips for your application 🫡
Understand the Role: Carefully read the job description for the Performance Analyst position. Make sure you understand the key responsibilities, required skills, and the importance of AI in the role.
Tailor Your CV: Highlight your relevant experience in performance/product analytics, especially within digital services. Emphasise your skills in SQL, GA4 implementation, and dashboarding with Looker Studio or AWS QuickSight.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific requirements of the job. Mention your experience with KPIs/OKRs, A/B testing, and any familiarity with government environments or AI projects.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data to drive decisions. Discuss any experience with event analytics, data flows, and establishing evaluation metrics, as these are crucial for the role.
How to prepare for a job interview at SR2
✨Know Your KPIs and OKRs
Make sure you understand the key performance indicators (KPIs) and objectives and key results (OKRs) relevant to the role. Be prepared to discuss how you would define and measure these for AI features, as this will show your alignment with the job requirements.
✨Showcase Your Technical Skills
Highlight your experience with SQL, GA4, and dashboarding tools like Looker Studio or AWS QuickSight. Be ready to provide examples of how you've implemented event analytics and built decision-ready dashboards in previous roles.
✨Discuss Your Experience with A/B Testing
Prepare to talk about your experience running and analysing A/B tests. Share specific examples where your recommendations led to actionable insights and improved outcomes, demonstrating your analytical skills and impact on product decisions.
✨Understand Data Governance and Compliance
Familiarise yourself with data quality, governance, and privacy compliance, especially in a government context. Be ready to discuss how you ensure these aspects in your work, as they are crucial for the role.
