Data analyst

Palta
London
1 year 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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.