π Core Information
πΉ Job Title: Senior Marketing Data Specialist
πΉ Company: Esri
πΉ Location: Redlands, CA
πΉ Job Type: On-site
πΉ Category: Marketing
πΉ Date Posted: April 3, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: On-site
π Job Overview
Key aspects of this role include:
- Leveraging data to influence Esriβs market position and drive successful marketing campaigns
- Collaborating with cross-functional teams to identify market opportunities and align on goals
- Conducting data analysis to understand market trends and customer behaviors
- Developing expertise in data collection, storage, and analysis processes
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and a deep understanding of marketing data and performance.
π Key Responsibilities
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Communicate and collaborate with Market Intelligence teams to identify and assess existing market opportunities using data-driven methodologies
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Implement data governance best practices to maintain data quality, security, and compliance
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Identify customer segments based on intent, engagement, and other relevant factors using data analysis techniques
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Execute enrichment opportunities for enhancing or broadening key markets, industries, or roles
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Monitor the performance of marketing campaigns and initiatives to assess the effectiveness of strategies and make recommendations for optimization
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Present findings to stakeholders and leadership to facilitate data-driven decision-making
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Mentor others to transfer knowledge and skills into practice
ASSUMPTION: The role involves a mix of analytical, strategic, and creative tasks, requiring a versatile skill set.
π― Required Qualifications
Education: Bachelorβs degree in marketing, data science, statistics, business analytics, or related field
Experience: 5+ years of experience building segmentations in a marketing automation platform such as Pardot, Marketo, or similar
Required Skills:
- Advanced experience developing SQL queries
- Advanced knowledge with Adobe Experience Cloud (AAM, AA), Power BI
- Advanced Excel skills including formula, VBA, and Macros
- Strong communication and presentation skills
- Ability to work collaboratively in cross-functional teams
- Detail-oriented with excellent problem-solving abilities
Preferred Skills:
- Masterβs degree in data science, Statistics, Business Analytics, or related field
- Experience with Pardot
ASSUMPTION: While a Master's degree is preferred, a Bachelor's degree with relevant experience is acceptable for this role.
π° Compensation & Benefits
Salary Range: $83,200 - $135,200 USD (Estimated based on industry standards for the role, experience level, and location)
Benefits:
- 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
- Minimum accrual of 80 hours of vacation leave
- Twelve paid holidays throughout the calendar year
- Opportunities for personal and professional growth
Working Hours: Full-time, typically 40 hours per week
ASSUMPTION: The salary range provided is an estimate based on market research and may vary depending on the candidate's qualifications and experience.
π Applicant Insights
π Company Context
Industry: Software Development, specifically Geographic Information Systems (GIS) and location intelligence
Company Size: 5,001-10,000 employees. This size allows for diverse opportunities and a well-established infrastructure, but may have more bureaucracy than smaller companies.
Founded: 1969. Esri has a rich history and extensive experience in the GIS industry.
Company Description:
- Esri is the global market leader in geographic information system (GIS) software, location intelligence, and mapping
- Since 1969, Esri has supported customers with geographic science and geospatial analytics, what they call βThe Science of Whereβ
- Esri takes a geographic approach to problem-solving, brought to life by modern GIS technology
Company Specialties:
- GIS
- Geographic information systems
- Software
- Geospatial analysis
- Geography
- Web mapping
- Place
- Location analytics
- Demographics
- 3D
- Site selection
- Government
- IoT
- Training
- Location intelligence
- Smart cities
- Geodesign
- And Mapping
Company Website: https://www.esri.com/
ASSUMPTION: Esri's focus on GIS and location intelligence makes it a unique and specialized company in the software development industry.
π Role Analysis
Career Level: Mid-level to senior. This role requires a significant amount of experience and expertise in marketing data and analysis.
Reporting Structure: This role likely reports to the Marketing Director or a similar position, with potential for cross-functional collaboration with various teams.
Work Arrangement: On-site, with the possibility of occasional remote work for specific tasks or meetings.
Growth Opportunities:
- Advancement to a management or leadership role within the marketing department
- Expansion of responsibilities to include additional aspects of marketing or data analysis
- Career progression to other departments within Esri, such as sales, product development, or customer success
ASSUMPTION: Growth opportunities at Esri may be influenced by the company's size and the specific needs of the department or organization.
π Location & Work Environment
Office Type: Corporate headquarters with a professional and collaborative work environment
Office Location(s): 380 New York St., Redlands, CA 92373, US
Geographic Context:
- Redlands, CA is located in the Inland Empire region of Southern California, approximately 60 miles east of Los Angeles
- The area offers a mix of urban and suburban living, with a lower cost of living compared to coastal cities
- Redlands has a diverse population and a growing job market, with a strong presence in the technology and healthcare industries
Work Schedule: Full-time, typically 40 hours per week, with the possibility of flexible hours or remote work for specific tasks or meetings
ASSUMPTION: The work environment at Esri's headquarters is likely to be professional, collaborative, and data-driven, reflecting the company's focus on GIS and location intelligence.
πΌ Interview & Application Insights
Typical Process:
- Online application and resume submission
- Phone or video screen with a member of the HR team
- Technical assessment or case study presentation
- In-person or video interview with the hiring manager and/or team members
- Final interview with a senior leader or executive
Key Assessment Areas:
- Data analysis and interpretation skills
- Communication and presentation abilities
- Collaboration and teamwork
- Problem-solving and critical thinking
- Cultural fit and alignment with Esri's values
Application Tips:
- Highlight relevant experience and achievements in marketing data analysis and segmentation
- Tailor your resume and cover letter to emphasize skills and experiences that match the required qualifications
- Prepare for behavioral and situational interview questions that assess your problem-solving, communication, and teamwork skills
- Research Esri's company culture and values to demonstrate your fit and enthusiasm for the role
ATS Keywords: Marketing, Data Analysis, SQL, Adobe Experience Cloud, Power BI, Excel, Segmentation, Data Governance, Reporting, Collaboration, Problem-solving
ASSUMPTION: The application process at Esri may involve multiple rounds of interviews and assessments to ensure the best fit for the role and the company.
π οΈ Tools & Technologies
- Adobe Experience Cloud (AAM, AA)
- Power BI
- SQL
- Excel
- Pardot (preferred but not required)
ASSUMPTION: The tools and technologies required for this role may evolve over time as Esri adopts new platforms or updates existing ones.
π Cultural Fit Considerations
Company Values:
- Innovation
- Collaboration
- Integrity
- Service
- Respect
- Balance
Work Style:
- Data-driven and analytical
- Collaborative and team-oriented
- Adaptable and open to feedback
- Results-focused and proactive
Self-Assessment Questions:
- How do you approach data-driven decision-making in a marketing context?
- Can you describe a time when you collaborated with a cross-functional team to achieve a common goal?
- How do you balance the need for thorough analysis with the need for timely decision-making?
ASSUMPTION: Esri's company culture emphasizes innovation, collaboration, and a data-driven approach to problem-solving, reflecting the company's focus on GIS and location intelligence.
β οΈ Potential Challenges
- Working with large and complex datasets may require significant time and effort to clean, analyze, and interpret
- Balancing the need for data-driven decision-making with the need for timely execution may present challenges
- Collaborating with cross-functional teams may require strong communication and project management skills
- Keeping up with the latest trends and best practices in marketing data analysis and segmentation may require continuous learning and development
ASSUMPTION: The potential challenges of this role are mitigated by Esri's focus on data-driven decision-making, collaboration, and continuous learning and development.
π Similar Roles Comparison
- Compared to other marketing data specialist roles, this position may require more advanced SQL skills and a stronger focus on data governance
- Esri's focus on GIS and location intelligence makes this role unique within the broader marketing industry
- Career progression in this role may involve expanding responsibilities to include additional aspects of marketing or data analysis, or moving into a management or leadership position
ASSUMPTION: While this role shares similarities with other marketing data specialist positions, its unique focus on GIS and location intelligence sets it apart within the industry.
π Sample Projects
- Developing and implementing a data governance framework to ensure data quality, security, and compliance
- Conducting a comprehensive analysis of market trends and customer behaviors to inform strategic decision-making
- Identifying and assessing market opportunities using data-driven methodologies to drive successful marketing campaigns
ASSUMPTION: The sample projects for this role reflect Esri's focus on data-driven decision-making, collaboration, and continuous learning and development.
β Key Questions to Ask During Interview
- How does this role fit into the overall marketing strategy and organization at Esri?
- What are the most pressing challenges facing the marketing department, and how can this role contribute to addressing them?
- How does Esri support the professional development and growth of its employees, particularly in the marketing department?
- What is the expected timeline for onboarding and ramping up in this role?
- How does Esri measure the success of its marketing campaigns and initiatives, and how can this role contribute to improving those metrics?
ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates your interest in the role and your commitment to contributing to Esri's success.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills, particularly in marketing data analysis and segmentation
- Prepare for behavioral and situational interview questions that assess your problem-solving, communication, and teamwork skills
- Research Esri's company culture and values to demonstrate your fit and enthusiasm for the role
- Follow up with the hiring manager or HR representative one week after submitting your application to express your continued interest in the position
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.