Solution Intelligence Specialist (Marketing Analytics)

Hi

Greetings from Pineswift!!

We are seeking a marketing analytics professional who combines strong marketing domain knowledge with data-driven problem-solving and client-facing consulting skills. The role will support clients in improving customer acquisition, engagement, retention, cross-sell, and marketing effectiveness through advanced analytics and actionable business insights.

Key Responsibilities

• Partner with clients to identify and structure marketing, customer, and growth-related business problems
• Analyze customer behavior, campaign performance, product adoption, channel effectiveness, and marketing ROI
• Develop solutions across customer segmentation, targeting, acquisition, engagement, cross-sell, retention, and customer lifetime value
• Design campaign measurement frameworks, including test-and-control analysis, attribution, incremental lift, conversion, and ROI
• Evaluate customer journeys and marketing funnels to identify leakage points and growth opportunities
• Translate analytical findings into clear recommendations and actions for marketing and business leadership
• Undertake implementation of attribution frameworks and tracking channel performance
• Develop executive presentations and decision-support for client stakeholders
• Work with a multi-shored client and internal teams to define data requirements, business rules, KPIs, and analytical methodologies
• Lead or support client workstreams, including stakeholder discussions, delivery planning and executive presentations
• Stay current on developments in digital marketing, personalization, experimentation, and marketing measurement

Required Qualifications

• Bachelor’s or master’s degree in Marketing, Business, Economics, Statistics, Analytics or a related discipline
• Experience in marketing analytics and customer analytics
• Strong understanding of marketing strategy, campaign execution, customer behavior and performance measurement
• Experience translating business problems into structured analytical work efforts
• Strong ownership mindset and bias for action
• Proficiency in analytical tools (SQL, Python, SAS etc.) and Excel, visualization tools is a plus
• Strong problem-solving, storytelling, and executive communication skills
• Ability to manage multiple priorities and work effectively with cross-functional internal and client teams