Job Description

BI Customer and Marketing Performance Analyst
2025-07-10 - 2025-08-09
Permanent
JHB001124
Telecommunications
Gauteng, Johannesburg
R 50000 - R 70000 Monthly Cost To Company (including medical aid and pension fund)
Role: BI Customer and Marketing Performance Analyst
Innovative SaaS company within digital marketing arean is looking for a BI Analyst/Manager to help their Sales & Marketing teams make smarter, data-driven decisions. They need someone who can turn customer feedback, product usage, and marketing data into actionable insights that drive real impact--think revenue growth, customer acquisition, and retention.
If you're passionate about using data to shape strategy and love digging into SaaS metrics, this role is for you. You'll play a key part in building the analytics capability from the ground up--defining key metrics, owning insights, and helping foster a data-driven culture.
Focus areas include Marketing, Product, and Customer Analytics, with a healthy dose of automation. We're after a self-starter with strong analytical chops and a knack for storytelling through data.
Requirements:

• Data & Marketing Analytics Pro: Skilled in tools like SQL, Power BI, and GA4, with a strong grasp of key SaaS metrics such as CAC, LTV, ROAS, and conversion rates.
• Insight-Driven Thinker: Able to turn complex product and customer data into meaningful business and UX/CX improvements.
• Strategic & Self-Sufficient: Comfortable working in a developing data environment, setting up frameworks, and translating data for non-technical teams.
• Automation & Testing: Experienced in A/B testing, campaign analysis, and streamlining reporting through automation.
• Bonus Points: Familiarity with platforms like Salesforce, HubSpot, LinkedIn Analytics, and programming in Python or R.

Key Responsibilities

• Marketing Analytics

Drive performance insights across digital channels (email, SMS, WhatsApp, etc.), optimize ROI and engagement, and run A/B tests to improve messaging, targeting, and pricing. * Product & Customer Analytics
Track user behavior and feature adoption to inform product development, identify customer pain points, segment audiences, and enhance satisfaction and retention. * Automation & Reporting
Build automated dashboards (e.g., Power BI) to streamline reporting, integrate data sources (GA4, LinkedIn Ads, Pipedrive, product usage), and ensure data accuracy and accessibility. * Growth & Funnel Optimization
Analyze user journeys from signup to upgrade, identify friction points, model churn risk, and deliver insights that boost conversion, retention, and LTV. * Cross-Functional Collaboration
Partner with Product, Sales, and Marketing to align strategies, improve lead targeting, and share insights that drive business decisions.