Remote Position

Audience Strategy Analyst

🌍 Remote Β· United States πŸ’Ό Full-time

This is a Fully Remote Job About Our Client: WNS is an Agentic AI-powered leader in intelligent operations and transformation serving over 700 clients in industries such as Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. The organization combines deep domain expertise with AI-driven platforms and analytics to help businesses innovate, scale, adapt, and build resilience in a rapidly changing environment. Operating globally with multiple headquarters, delivery centers, and a large workforce, the company focuses on delivering sustainable business value through intelligent, human-led solutions. About the Opportunity: The AUDIENCE STRATEGY ANALYST role is designed to develop and execute data-driven audience strategies across digital marketing channels. This position is responsible for leveraging first-party data to enhance audience segmentation, personalization, customer journeys, and campaign analytics. By translating complex data into actionable insights, the role supports improved campaign effectiveness and customer engagement, collaborating closely with Analytics, Marketing, Technology, and other business stakeholders. Responsibilities: Lead and support strategic audience segmentation, personalization, and customer journey initiatives using first-party data Develop audience strategies across owned and paid digital marketing channels Extract, analyze, validate, and interpret customer, audience, and campaign data using advanced SQL Perform campaign reporting and analytics including A/B testing, statistical analysis, incrementality measurement, and trend evaluation Translate analytical findings into clear business insights and recommendations Partner with technical and business teams to define audience requirements and ensure accurate execution Identify and recommend improvements for operational, process, and data gaps to maintain data quality Monitor audience and campaign performance to identify optimization opportunities Collaborate with cross-functional teams across Analytics, Marketing, Technology, and Operations Develop and maintain reporting and dashboards for audience and campaign performance visibility Communicate analytical findings effectively to both technical and non-technical stakeholders Requirements: Advanced SQL skills with experience handling large and complex datasets Experience in audience segmentation, personalization, and customer journey strategies Strong background working with first-party customer data Familiarity with digital marketing campaigns across owned and paid channels Knowledge of campaign measurement, reporting, and testing methodologies Experience with A/B testing, statistical significance, incrementality, and data interpretation Ability to convert data into meaningful business recommendations Experience identifying operational or data gaps and implementing improvements Strong analytical, problem-solving, organizational, and stakeholder management skills Excellent written and verbal communication skills Experience with tools such as Snowflake or other SQL databases, Customer Data Platforms, Salesforce Marketing Cloud or other email service providers, media advertising platforms (Meta, Google) Preferred experience with Adobe Experience Platform, Adobe Customer Journey Analytics, Tableau, or Domo Pay Range and Compensation Package: Base salary range is $100,000 to $125,000 annually, dependent on location, experience, education, and skills Potential eligibility for performance-based bonuses or incentive pay Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

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