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

Apply Now

Data analyst

Palta
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Palta is a multi-product tech platform developing several mobile apps focused on health and well-being with a combined audience of more than 60 million monthly active users. Our portfolio includes such successful companies as Flo (global leader in female health), Simple (a nutrition and wellness app with over 15m downloads), Zing (personal fitness trainer), and more. 
The rapid portfolio growth was fueled by the recently raised $100 million Series B round led by VNV Global, and the group’s revenue is currently sustainably growing 50% YoY.

Simple is a successful mobile product that has a user base of over 15 million people and has over 100% year-over-year revenue growth. It helps people improve their nutritional habits through personalized programs, meal tracking, and health insights, which allows them to lead healthier and happier lives.Now, we are taking the next big step and working on a new revolutionary AI product that helps each person improve their health in a fun and engaging way.

We are looking for a talentedData Analyst, who will play a key role in enhancing and refining our CRM activities, with a special focus on financial aspects such as channel costs, subscriber acquisition, and product goals. Your role involves using data insights to enrich customer interactions, craft targeted email marketing strategies, and ensure our CRM tools are utilized effectively. 

Push the pace of innovation and build a future of a healthier world with us!

Your responsibilities will include:

Identifying trends, patterns, and insights that help to shape business decisions; Creating and sharing reports on customer behavior, revenue performance, and the success of our campaigns; Monitoring and tracking important team metrics and KPIs; Help the team in conducting AB tests; Improve analytical infrastructure by contributing to data marts and self-service instruments; Working closely with our development team and other departments to ensure seamless CRM system integrations and updates; Troubleshooting and resolving any data-related issues our team might encounter.

What we look for:

A critical thinker mindset with the ability to structure and test numerous hypotheses quickly and efficiently, to validate the raw data comparing different sources; A rapid learner mindset, capable of diving into new ideas, areas and data sources quickly; Ownership mentality, demonstrating a proactive approach to achieving team business goals and OKRs; Excellent communication skills, ability to collaborate effectively with cross-functional teams and communicate insights to stakeholders at all levels; Technical skills: proficiency in SQL, Python, BI (Looker/Superset or similar platforms), mathematical statistics; Experience in subscription based products as a plus.

Perks and benefits: 

Competitive salary package commensurate with experience, plus stock options; In-office, hybrid work and remote opportunities; Relocation package (Cyprus); The equipment you need to do your job; A premium Palta Family subscriptions (Simple, Flo, Zing etc.); 21 days annual leave, plus bank holidays; Support to learn English, should you need (or want) to. 

Please read our privacy notice in respect of your application 

Please note that your personal data will be stored for one year, as reasonably necessary to resolve any disputes within the hiring process, if any occur.

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.

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.

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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.