- Data-Driven Marketing Management: Develop
and implement analytical frameworks to evaluate all marketing KPIs with
special focus on conversion paths and ROI optimization.
- Campaign Analysis and Optimization:
Detailed evaluation of Paid Search, Performance Max, and Display campaigns
with in-depth analysis of metrics for continuous performance improvement.
- Conversion Tracking and Attribution:
Build and maintain a complete attribution model to accurately measure soft
and hard conversions across different channels and touchpoints.
- Retargeting Strategies: Develop
data-based retargeting frameworks with clear segmentation of target groups
based on user behavior and conversion probability.
- A/B Testing and Experimental Design:
Develop statistically valid tests for creatives, landing pages, and
conversion elements with clear methodology for measuring success.
- Industry and Competitive Analysis:
Systematically analyze different industries and positions to derive
strategic marketing measures.
Marketing Analytics Manager - Digital Marketing (B2B SaaS)
Location : Kochi
Employment Type : Full Time
Work Mode : Hybrid
Experience : 5-15 yrs
Job Code : BEO-9546
Posted Date : 23/05/2025
Job Description
Responsibilities
Desired Candidate Profile
- Education: Master's degree in Marketing,
Business, Statistics, or a related field with demonstrable analytical
skills.
- Experience: Minimum 5+ years of
experience in digital marketing with a clear focus on data-driven campaign
optimization, preferably in the B2B SaaS sector.
- Technical Skills: Advanced knowledge of
analytics tools (Google Analytics 4, Google Tag Manager), campaign
management platforms (Google Ads, Microsoft Ads), and data visualization
tools.
- Analytical Expertise: Outstanding
quantitative abilities to analyze complex datasets, identify patterns, and
derive actionable recommendations.
- Strategic Thinking: Ability to extract
strategic insights from numbers and trends and translate them into
concrete marketing actions.
- Accuracy: Highest precision in data
collection, analysis, and interpretation with a relentless focus on data
quality.