Bi Customer And Marketing Performance Analyst

Elite Search; Johannesburg; On-site; ZAR 200,000 - 300,000; Full time

Job summary

A leading company is seeking a Data & Marketing Analytics Professional to enhance business performance through data insights. The ideal candidate will leverage tools like SQL and Power BI to optimize marketing strategies across digital channels. This role focuses on deriving meaningful insights from complex data, improving ROI, and collaborating cross-functionally to deliver impactful results.

Qualifications

• Skilled in tools such as SQL, Power BI, GA4.
• Experience with A/B testing and campaign analysis.
• Familiarity with data automation and reporting.

Responsibilities

• Drive performance insights across digital channels.
• Track user behavior to enhance satisfaction and retention.
• Build automated dashboards for streamlined reporting.

Skills

Data Analytics

Marketing Analytics

SQL

Power BI

GA4

A/B Testing

Automation

Python

R

Tools

Salesforce

HubSpot

LinkedIn Analytics

Job description

• 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.