Bi Customer And Marketing Performance Analyst

Elite Search and Selection; Johannesburg; On-site; USD 30,000 - 50,000; Full time

Job summary

An established company seeks a talented Data & Marketing Analytics Professional to leverage data for strategic growth. This role focuses on driving performance insights across digital channels, optimizing user experiences, and delivering actionable reports through advanced data analytics tools like Power BI and SQL. The ideal candidate will be an expert in marketing metrics and possess strong automation skills, collaborating with cross-functional teams to enhance product offerings and customer satisfaction.

Qualifications

• Experienced in data analysis and marketing metrics.
• Skilled in A/B testing and automation tools.
• Strong grasp of SaaS metrics and reporting frameworks.

Responsibilities

• Drive performance insights across digital channels.
• Track user behavior to enhance product development.
• Build automated dashboards to streamline reporting.
• Analyze user journeys to improve conversion and retention.

Skills

Data Analysis

Marketing Analytics

SQL

Power BI

A/B Testing

Data Automation

Tools

GA4

Salesforce

HubSpot

LinkedIn Analytics

Pipedrive

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.