Senior Data & Insights Analyst

Senior Data & Insights Analyst

Remote (Global) · eCommerce / DTC · Full-Time Contract · Reports to CMO

BigQuery Looker/Data Studio GA4 Google Stack Full-Funnel Analytics

Monthly Salary: R16.5k – R55k ($1,000 - $3,300)

The salary range for this role is intentionally broad. We are open to candidates at different stages of their careers, from strong analysts with solid fundamentals through to highly experienced professionals with expertise in areas such as predictive modelling, forecasting, attribution, and advanced analytics.

Compensation will be determined by the relevance and depth of your experience, the level of ownership you can take on from day one, and how closely your skills align with the responsibilities and stretch skills outlined in this job description.

About the Role

We’re a data-led eCommerce business and we want someone who genuinely loves working with data. We want somebody who enjoys uncovering insight, understanding customer behaviour, identifying opportunities for growth, and helping shape how decisions are made across the business. Building systems and developing models are important parts of the role, but the ultimate goal is helping the business make better decisions.

This role sits at the intersection of analytics, data engineering, and commercial decision-making. Initially, you'll report directly into the CMO, before eventually taking ownership of our reporting infrastructure, analytics, and modelling capabilities; we're looking for someone with the potential to grow alongside the business.

Data sits at the centre of everything we do, so this person will work across all business units. You’ll need to understand how data and insight fit within a commercial, marketing-led organisation, and be comfortable moving between functions.

As our data function matures, there is a clear opportunity for this role to evolve in one of two directions depending on your strengths and interests:

• A leadership path, building and leading the company's BI and data function as a future Head of BI / Head of Data.
• A specialist path, developing deeper expertise in areas such as predictive modelling, forecasting, attribution, experimentation, and advanced analytics.

We're less concerned with where you are today than whether you have the curiosity, commercial thinking, and technical aptitude to grow into one of these roles over time.

What You’ll Be Responsible For

Analysis & Insight

– Acting as the business's primary analytical partner across marketing, CRM, retention, finance, and operations

– Proactively identifying trends, anomalies, opportunities, and risks across customer, marketing, and commercial performance

– Investigating the drivers behind changes in acquisition efficiency, conversion rate, retention, customer lifetime value, and profitability

– Producing analysis that directly influences budget allocation, channel strategy, CRM activity, pricing, and operational decisions

– Helping the business understand which channels, campaigns, products, and customer segments create the most long-term value

– Designing and evaluating experiments and tests to improve commercial performance

– Supporting multi-touch attribution and helping evolve our measurement framework as the business scales

– Bringing insight to the team before it's requested, identifying questions nobody else has thought to ask

Data Infrastructure

– Managing and maintaining our BigQuery data warehouse, you’re evolving it, not starting from scratch

– Maintaining ETL pipelines pulling data from Google Ads, Meta, TikTok, GA4, email platforms, and affiliate networks

– Build and maintain in-app reporting infrastructure using AppsFlyer (or similar)

– Keeping data clean, reliable, and documented

– Maintaining and exporting clean CRM data for use in Klaviyo and Attentive

– Ensuring audience segments are accurate, up-to-date, and well-structured

Predictive Analytics & Modelling

– Own and continuously improve our customer lifetime value (LTV) modelling framework

– Develop predictive models that help the business better understand customer behaviour, retention, and profitability

– Build and maintain churn prediction and upsell propensity models to support CRM and retention initiatives

– Partner with marketing and CRM teams to identify audiences most likely to convert, repurchase, or lapse

– Evaluate model performance and systematically improve accuracy as new data becomes available

– Translate model outputs into commercially actionable recommendations rather than purely technical outputs

Reporting & Dashboards

– Building and maintaining performance dashboards in Looker/Data Studio across marketing, finance, and operations

– Providing commentary and interpretation alongside reports. We don’t want you to just present numbers, but help the team understand what they mean and what to do about them

– Automating manual reporting tasks. You will inherit some hands-on reporting tasks to begin with; the expectation is that you’ll systematically work to automate what can be automated, allowing you to focus more heavily on finding the insight within the data.

Finance & Operations

– Supporting financial reporting, including payment reconciliation and P&L reporting

– Building and maintaining forecasting models for revenue, customer acquisition, retention, and customer lifetime value

– Working with leadership to improve commercial forecasting and scenario planning

– Helping quantify the expected impact of marketing, CRM, and operational initiatives on future business performance

What We’re Looking For

We are not looking for someone who simply reports what happened. We're looking for someone who can help explain why it happened, what is likely to happen next, and what the business should do about it.

Technical ability matters, but potential matters just as much. We're looking for someone who is naturally inquisitive, commercially minded, and excited by the idea of growing their scope over time. The ideal candidate is capable of owning reporting and analytics today, while demonstrating the aptitude to develop into a senior data specialist or future data leader as the business grows.

We don’t require a specific background; a strong academic foundation in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, Economics, or similar) is a good signal, but so is a track record of doing this well. The most important quality we’re looking for is someone who enjoys asking the questions nobody else has thought of, and finding the answers to those questions.

You should be comfortable with:

– SQL and BigQuery. We use the Google stack, so this is your primary working environment

– Building dashboards in Looker Studio / Data Studio

– Writing code to manipulate and model data; we don’t mind whether that’s Python, R, or something else, as long as it integrates with the Google stack

– GA4, GTM and the major ad platforms (Google Ads, Meta, TikTok)

– Understanding the role of data and insight within a commercial, marketing-led business

Nice to have:

– Experience with attribution modelling (rules-based, data-driven, or MMM)

– Familiarity with CRM platforms, particularly Klaviyo or Attentive

– Familiarity with tracking and tagging concepts

– Experience in a DTC or performance eCommerce environment

Stretch Skills:

Candidates with experience in the following areas are likely to be a strong fit and may be considered at a higher level of seniority

– Customer lifetime value (LTV) modelling

– Churn prediction and retention modelling

– Propensity modelling (upsell, cross-sell, repeat purchase)

– Forecasting and time-series analysis

– Statistical modelling and machine learning applied to commercial decision-making

– Marketing Mix Modelling (MMM)

– Experimentation and causal inference

– Familiarity with machine learning frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, or similar

How We Work

This is a fully remote role. We’re open to candidates anywhere in the world, provided you can commit to at least 3 hours per day overlap with UK business hours for collaborative working.

We’re a small team. You’ll have real responsibility and genuine visibility into how the business makes decisions. We use AI tooling across the team and expect you to do the same — it’s a force multiplier, not a shortcut.

What Success Looks Like

In your first 6 months:

– You are regularly producing analysis that influences marketing, CRM, and commercial decisions

– The business has a clear and trusted view of marketing, customer, and financial performance

– Reporting processes are progressively automated and scalable

– Pipelines and data infrastructure are reliable, documented, and well maintained

– Early improvements have been made to our LTV and forecasting capabilities

What We Offer

• Monthly Salary of R16.5k – R55k ($1,000 - $3,300 - Based on experience)
• Fully remote role, flexible working hours
• Room to grow into a more senior role as the company expands