Marketing & Campaign Analytics

Key Responsibilities

• Fetch, clean, and manage marketing and prospect data from Apollo.io and other campaign tools.
• Segment users based on firmographics, behavioral signals, and engagement patterns to build

targeted lists.

• Track and organize large volumes of campaign and user behavior data (open rates, CTR,

conversions, bounce/unsubscribe trends).

• Analyze email performance (subject lines, content variations, send times) to identify what drives

higher engagement.

• Monitor user behavior data across campaigns to understand preferences, drop-offs, and

conversion trends.

• Collaborate with the marketing team to provide data-backed recommendations for improving

lead quality and campaign ROI.

• Build and maintain dashboards and reports (Excel, Looker Studio, Tableau, or Power BI) to

communicate insights clearly.

• Support A/B testing and multivariate testing, delivering insights into what works best for

different segments.

• Ensure data hygiene, accuracy, and compliance with regulations (GDPR, CAN-SPAM).

Required Experience & Competencies

• 2-3 years of experience in data analysis, preferably within marketing, digital campaigns, or

CRM/email analytics.

• Hands-on experience with Apollo (mandatory) and other marketing automation/CRM tools

(HubSpot, YAMM, Mailchimp, etc.).

• Strong ability to segment audiences and apply behavioural/user-level data for targeting.
• Proficiency in reporting and data visualization (Excel, Google Looker Studio, Tableau, Power BI).
• Familiarity with SQL, Python, or R for deeper data analysis (preferred, not mandatory).
• Strong understanding of email campaign KPIs: open rates, CTR, conversion funnels, and

engagement scores.

• Excellent analytical and problem-solving skills, with the ability to interpret complex data into

clear insights and actions.

• Strong communication skills for presenting findings to stakeholders in simple, business-focused

language.

• Detail-oriented with a focus on data quality, segmentation accuracy, and campaign

optimization.