FutureMedia is a dynamic, remote-first digital services company specializing in SaaS products, AI-powered solutions, and web and mobile application development. Our team brings together diverse digital experts who focus on innovation, problem-solving, and delivering impactful, technology-driven products for clients across global markets.
We design, develop, build, and analyze. We deliver impactful digital products and services — SaaS products, AI-powered solutions, web and mobile applications. As pioneers in the digital services space, we’re a team that knows how to innovate while having fun. Remote-first, but connection and collaboration are at our core.
About the Role
We are building our data function from the ground up, and we need sharp analysts to turn a growing pile of product and subscription data into decisions. As a Data Analyst, reporting to the Head of Data, you will be the person teams come to when they need to understand why something is happening.
You will dig into funnels, experiments, and cohorts, find the story in the numbers, and make a clear recommendation. Less “build the dashboard,” more “answer the question no one else can.” This is an early role on a forming team — so you will have unusually broad scope and direct influence on product and growth decisions.
What You’ll Do
Analysis & Insight
Investigate product, growth, and subscription questions end to end — from a vague business prompt to a clear, actionable answer
Run deep dives into funnels, retention, churn drivers, time-to-value, feature adoption, and monetisation across the product suite
Build cohort, segmentation, and LTV analyses that shape how we acquire and keep subscribers
Synthesise quantitative data with qualitative context so recommendations reflect why users behave the way they do, not just what they did
Experimentation & Product Partnership
Design, size, and analyse A/B tests — interpreting lift, impact, and risk, including the inconclusive results
Partner with Product and Growth to define success metrics and hypotheses before experiments launch
Present findings to product managers, marketers, and leadership in plain language — with a recommendation attached and tied back to company goals
Data Quality & Infrastructure
Validate data accuracy across source systems and run root-cause analysis on anomalies before they reach a dashboard
Work with the BI Analyst and Data Engineers to turn recurring analyses into governed, reusable models
Handle personal and behavioural data responsibly, in line with privacy and access policies
What We’re Looking For (Must-Have)
2+ years in a Data Analyst, Product Analyst, or Growth Analyst role
Strong SQL — you can pull and shape data from a warehouse independently, including event-level and behavioural datasets
Solid analytical foundation: funnels, cohorts, segmentation, and the basics of statistical significance and experiment design
Experience with product analytics tools (Amplitude, Mixpanel, Segment, or similar)
Prior experience in B2C SaaS, subscription, or marketplace businesses, with first-hand knowledge of funnels, churn, and LTV
The ability to turn analysis into a clear narrative and a recommendation a non-technical stakeholder can act on
Curiosity and autonomy: comfortable framing the question, not just answering it, in a fast-moving environment
Nice to Have
Python or R for deeper analysis and modelling
Familiarity with a BI tool (Looker, Metabase, Tableau)
Exposure to dbt or working with modelled data layers
Experience with predictive or ML-adjacent analysis (churn prediction, propensity, and similar)
Working Conditions
Competitive compensation
Remote-first culture with flexible working hours
22 paid vacation days + local national holidays
Opportunity to shape the excellence across a growing engineering organisation
Modern stack, scalable products, and meaningful technical challenges
