Data Analyst

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