Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analyst

TRIA
Newcastle upon Tyne
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Chelmsford

Senior Data Analyst (Marketing: Customer & CRM)

Senior Data Analyst (Marketing Analytics, Bangkok Based, Relocation provided)

Senior Data Analyst - Tableau, Data Visualisation

Senior Data Analyst

Senior Data and Reporting Analyst

Power BI | Dataverse | SQL

Up to £70,000

Remote – UK.


Are you ready to shape the future of data and reporting for an entire organization? This is a unique opportunity to join a greenfield project and take the lead in establishing a robust data and reporting framework from the ground up.


As a Senior Data and Reporting Analyst, you will play a pivotal role in transforming how the business manages, interprets, and leverages data. Working closely with a small, dynamic Data team, you will have ownership of this area to improve data and reporting. You’ll be working with Dataerse to clean, organize, and prepare data for analysis

You’ll also lead and mentor a small Data team (prior line management experience is not required).


Skills we are looking for:

  • Proven experience in data cleaning, organization, and visualization.
  • Previous line management experience would be a bonus but not essential
  • The ability to create interactive and intuitive dashboards with Power BI
  • Experience working with Microsoft Dataverse
  • Good understanding of API’s
  • Advanced SQL skills for querying datasets
  • Fantastic stakeholder engagement


If you are interested and would like to find out more, please apply!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.