BI Customer and Marketing Performance Analyst

Recruiter:

Elite Search

Job Ref:

JHB001124/HLG

Date posted:

Thursday, July 10, 2025

Location:

Johannesburg, South Africa

Salary:

50000 Monthly

SUMMARY:
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.

POSITION INFO:
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.

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