Senior Data Analyst

Waves Audio is a world leader in professional audio processing, known for its industry-standard software & hardware that empower creators, musicians, producers, engineers, and audio professionals worldwide.

We are looking for a commercially minded Data Analyst to turn data into clear insights that support business growth, improve customer experience, and guide decision-making across our audio software business.

Key Responsibilities

• Analyze sales, customer behaviour, product performance, and marketing results to identify trends and growth opportunities.
• Maintain dashboards and reports covering revenue, conversion, customer acquisition, retention, and subscription performance.
• Evaluate pricing, promotions, and product bundles, including their impact on revenue and profitability.
• Manage and operate Google Analytics and Google Tag Manager, including event tracking and validation.
• Support performance optimization for Google Ads and Meta Ads.
• Manage the predictive analysis tools
• Analyze customer journeys, purchase patterns, and customer lifetime value to support segmentation and targeted campaigns.
• Track subscription acquisition, renewals, cancellations, and churn; recommend actions to improve retention.
• Design and evaluate A/B tests for website experiences, campaigns, and commercial offers.
• Work with Marketing, Sales, Product, Finance, and technical teams to define KPIs and translate business questions into analysis and visa versa.
• Validate data accuracy, maintain consistent metric definitions, communicate findings and follow up on actionable recommendations.

Required Qualifications

• At least 5 years of experience as a Data Analyst, preferably in e-commerce, software, or a subscription-based business.
• Strong SQL skills and experience querying large datasets across multiple sources.
• Experience with a BI platform .
• Proficiency in Google Analytics and Google Tag Manager.
• Proven experience with Google Ads and Meta Ads.
• Experience in campaign measurement and performance analysis.
• Understanding and experience with incorporating AI in the day-to-day workflows.
• Experience with A/B testing platforms, understanding of statistical significance, confidence intervals, p-values, statistical power, and false positives; ability to calculate sample sizes, estimate test duration, and establish stopping criteria. Distinguish meaningful improvements from random variation, and recommend data-driven actions.
• Advanced Excel or Google Sheets skills.
• Solid understanding of statistics, cohort analysis, funnel analysis, and experimentation.
• Strong business judgment and the ability to connect analytical findings to commercial decisions.
• Ability to present complex findings clearly to both technical and nontechnical stakeholders.
• High attention to detail, ownership of data quality, and the ability to manage competing priorities.
• Strong written and spoken English.
• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Industrial Engineering, or a related field—or equivalent practical experience.

Preferred Qualifications

• Experience analyzing subscription metrics, including recurring revenue, churn, retention, and customer lifetime value.
• Experience with Python or R for analysis and automation.
• Experience with GA4, Google Ads, GTM, and digital marketing attribution.
• Familiarity with cloud data warehouses and data transformation tools.
• Interest in music production, audio technology, or creative software.

What Success Looks Like

Reliable reporting, a clearer understanding of customer behavior, and actionable insights that improve conversion, strengthen retention, and grow profitably.