E

Sr. Marketing Data Specialist

Esri
Full-time
On-site
Redlands, California, United States
πŸ“ˆ Marketing Analytics

πŸ“Œ Core Information

πŸ”Ή Job Title: Senior Marketing Data Specialist

πŸ”Ή Company: Esri

πŸ”Ή Location: Redlands, CA

πŸ”Ή Job Type: On-site

πŸ”Ή Category: Marketing

πŸ”Ή Date Posted: April 3, 2025

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: On-site

πŸš€ Job Overview

Key aspects of this role include:

  • Leveraging data to influence Esri’s 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.

πŸ“‹ Key Responsibilities

βœ… Communicate and collaborate with Market Intelligence teams to identify and assess existing market opportunities using data-driven methodologies

βœ… Implement data governance best practices to maintain data quality, security, and compliance

βœ… Identify customer segments based on intent, engagement, and other relevant factors using data analysis techniques

βœ… Execute enrichment opportunities for enhancing or broadening key markets, industries, or roles

βœ… Monitor the performance of marketing campaigns and initiatives to assess the effectiveness of strategies and make recommendations for optimization

βœ… Present findings to stakeholders and leadership to facilitate data-driven decision-making

βœ… 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.

🎯 Required Qualifications

Education: Bachelor’s 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:

  • Master’s 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.

πŸ’° 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.

πŸ“Œ Applicant Insights

πŸ” 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 β€œThe Science of Where”
  • 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.

πŸ“Š 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.

🌍 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.

πŸ’Ό 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.

πŸ› 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.

πŸ‘” 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.

⚠️ 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.

πŸ“ˆ 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.

πŸ“ 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.

❓ 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.

πŸ“Œ 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

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.