Sr. Marketing Data Specialist

Overview

As a Sr. Marketing Data and Segmentation Specialist, you will play a key role in our marketing initiatives, taking a data‑centric approach to influence Esri’s market position. Leverage your strong analytical mindset, excellent communication skills, and a deep understanding of marketing data and performance to contribute to successful marketing campaigns across various mediums. This team combines elements of analytics, strategic thinking, and creativity.

You will have the opportunity to leverage data insights to shape marketing campaigns that share the power of Esri’s technology with our customers. Through collaborative partnerships, you will steer data strategy, segmentation, and enrichment initiatives with insights derived from data‑driven approaches.

• Communicate and collaborate. Partner with Market Intelligence teams to identify and assess existing market opportunities using data‑driven methodologies. Implement data governance best practices to maintain data quality, security, and compliance with relevant regulations and align with the data integrations team to include various sources. Generate clear and concise reports detailing key insights and performance metrics. Present findings to stakeholders and leadership to facilitate data‑driven decision‑making.
• Drive results. Identify customer segments based on intent, engagement, and other relevant factors by using data analysis techniques. Build reusable foundational segments that define markets and roles to be used for marketing campaigns. Execute enrichment opportunities for enhancing or broadening key markets, industries, or roles.
• Focus on customer success. Work with colleagues across the marketing organization to understand campaign requirements and align on goals and objectives, leading audience and segmentation strategy.
• Create an impact. Conduct comprehensive data analysis to understand market trends and customer behaviors, to enable strategic decision‑making. Monitor the performance of marketing campaigns and initiatives to assess the effectiveness of strategies and make recommendations for optimization.
• Develop your expertise. Identify opportunities to streamline data collection, storage, and analysis processes. Present recommendations for enhancement to leadership.
• Share learnings. Transfer knowledge and skills into practice by mentoring others.

• 5+ years of experience building segmentations in a marketing automation platform such as Marketo, Pardot, or similar
• 2+ years of experience with statistical analysis tools and data visualization software
• Advanced experience developing SQL queries
• Advanced knowledge with Adobe Experience Cloud (AAM, AA) and Power BI
• Advanced Excel skills, including formulas, VBA, and macros
• Strong communication and presentation skills
• Ability to work collaboratively in cross‑functional teams
• Detail‑oriented with excellent problem‑solving abilities
• Bachelor’s degree in marketing, data science, statistics, business analytics, or related field
• Occasional travel may be required (up to ~20%)
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

• Master’s degree in marketing, data science, statistics, business analytics, or related field
• Experience with Marketo

Esri’s competitive total rewards strategy includes industry‑leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit‑sharing programs, a minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy.

Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. A reasonable estimate of the base salary range is: $83,200 USD – $135,200 USD.

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