Data Analyst

Overview

In this Data Analyst role, you translate data into actionable insights to support decision-making across Marketing, e-commerce, Sales and Operations. You own reporting and dashboards, promoting self-service analytics and trusted data for cross-functional teams. You’ll partner with stakeholders to answer commercial questions, monitor KPIs and translate findings into practical recommendations. You will shape data models and definitions to ensure consistency and accuracy, working in a fast-paced, business-facing environment.

Responsibilities

• Build, maintain and improve dashboards and reports using a BI/analytics platform
• Enable stakeholders to self-serve insights and use data confidently
• Ensure reporting is accurate, well documented, and based on consistent definitions
• Automate recurring reporting to reduce manual data processes
• Partner with Marketing, e-commerce, Sales and Operations to understand performance and answer commercial questions
• Analyze campaign performance, ROAS, CPA, customer acquisition, sales, customer behavior, segmentation and lifetime value
• Monitor KPIs, identify trends and risks, translating findings into recommendations
• Support pricing, promotional, forecasting and other ad-hoc commercial analysis
• Identify data quality issues and coordinate with data team and system owners for fixes
• Own and document reporting logic, business definitions and KPI definitions for consistency
• Help shape trusted datasets and data models for reporting and analysis
• Validate dashboards and reporting outputs for ongoing accuracy

Key requirements

• Commercial experience in Data Analyst, BI or similar analytics role
• Strong SQL skills and experience working directly with data
• Experience building dashboards and reports using BI/analytics platforms
• Strong analytical skills with ability to turn data into actionable insights
• Good Excel or Google Sheets skills for analysis and modeling
• Strong communication skills with non-technical stakeholders
• Good organization and attention to detail, ability to prioritise competing questions
• Experience with Omni, Looker or similar self-service BI platform beneficial
• Experience analyzing marketing, e-commerce, subscription or customer data advantageous
• Understanding of modern data warehouses and ETL/ELT concepts beneficial
• Experience in fast-paced or founder-led environments useful
• Experience in fitness, health, supplements or lifestyle brands advantageous

• Strong communication
• Attention to detail
• Prioritization and time management
• SQL
• BI/dashboarding
• Looker/Omni or similar self-service BI platforms

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