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

Apply Now

Salesforce Data Analyst

Synapri
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst – ServiceNow - AWS - Inside IR35

Data Analyst

Senior Data Engineer

Senior Data Engineer

Head of Data (Senior Data Scientist)

Are you a Salesforce Data Analyst looking to excel your career with a forward thinking business? If so please see below.


I am currently working on a new Salesforce Data Analyst position to come onboard and support a global end customer at a critical time of growth. Following a recent completion of a large consolidation piece this company are looking for a Senior Salesforce Data Analyst to be responsible for data matters. This covers championing data quality, maintaining tools, updating and extracting data for insights as well as someone who is able to work with the business to become a trusted advisor representing the Salesforce function.


Alongside this you will also be an expert in managing and manipulating data while being the center as the organisation as they look to adopt cutting edge technologies such as AI and no-data-copy data lakes!


Location:London 1x weekly

Salary:up to £75,000 plus bonus and benefits

Skills required

  • 5+ years’ hands-on experience in as a data analyst on the Salesforce platform
  • Advanced skills in Python or R.
  • Strong analytical skills and a familiarity with Salesforce object structures, Data models and best practices.
  • Salesforce certifications such as Certified Salesforce Administrator/Certified Salesforce Data Architect.
  • Experience with data analysis tools such as Einstein Analytics, Tableau, and/or DataBricks.


If you are keeping an eye out for a new position and this sounds like you then please apply now for immediate consideration and to understand more.

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.

Jobs

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.

Jobs

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.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.