📌 Core Information
🔹 Job Title: Marketing Operations Manager - Data & Analytics
🔹 Company: Cohesity
🔹 Location: Heredia, Costa Rica (Office) & Costa Rica (Remote)
🔹 Job Type: Full-Time, Hybrid (2-3 days in-office)
🔹 Category: Marketing
🔹 Date Posted: July 11, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Hybrid
🚀 Job Overview
Key aspects of this role include:
- Assisting in collecting, processing, and analyzing data to support business decisions
- Performing basic statistical analyses to identify trends and patterns
- Creating data visualizations using tools such as Excel, Power BI, or Tableau
- Collaborating with cross-functional teams to understand business needs and translate them into data insights
- Documenting processes and maintaining data accuracy and integrity
ASSUMPTION: This role requires a balance of technical skills and strong communication abilities to effectively work with various teams and translate data insights into actionable business decisions.
📋 Key Responsibilities
✅ Collect, clean, and organize data from various sources
✅ Perform basic statistical analyses to identify trends and patterns
✅ Create data visualizations (charts, dashboards, reports) using tools such as Excel, Power BI, or Tableau
✅ Assist in maintaining databases and data systems
✅ Support senior analysts with data projects and ad-hoc analysis requests
✅ Collaborate with cross-functional teams to understand business needs and translate them into data insights
✅ Document processes and maintain data accuracy and integrity
ASSUMPTION: The role may involve working with large datasets and requires strong attention to detail to ensure data accuracy and integrity.
🎯 Required Qualifications
Education: Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Economics, Computer Science, Business)
Experience: 5-7+ years of relevant experience
Required Skills:
- Strong analytical and problem-solving skills
- Proficiency in Excel
- Familiarity with SQL, Python, or R (a plus)
- Experience with data visualization tools like Tableau, Power BI, or Google Data Studio
- Basic understanding of statistics and data analysis techniques
- Excellent communication and teamwork skills
- Eagerness to learn and grow in the field of data analytics
Preferred Skills:
- Internship or project experience in data analysis
- Familiarity with CRM or ERP systems such as Salesforce and Oracle Sales Cloud
- Exposure to cloud-based platforms like Snowflake, Google Cloud, or Azure
ASSUMPTION: While the role requires a specific degree, relevant experience and skills are more important for success in this position.
💰 Compensation & Benefits
Salary Range: Based on market research and the role's requirements, the estimated salary range for this position is $80,000 - $120,000 USD per year. This range may vary depending on the candidate's experience and skills.
Benefits:
- Health, dental, and vision insurance
- 401(k) plan with company match
- Paid time off (vacation, sick, and holidays)
- Employee assistance program
- Professional development opportunities
Working Hours: Full-time, 40 hours per week. Flexible work hours and remote work options available.
ASSUMPTION: The salary range provided is an estimate and may vary based on the candidate's skills, experience, and market conditions.
📌 Applicant Insights
🔍 Company Context
Industry: Software Development, specifically focused on data protection, security, and management
Company Size: 1,001-5,000 employees. This size allows for a structured yet agile work environment, offering opportunities for growth and collaboration.
Founded: 2013. Cohesity has since grown to become a leader in AI-powered data security, serving over 13,600 enterprise customers worldwide.
Company Description:
- Cohesity is a modern platform for the AI era, focused on protecting, securing, and providing insights into the world’s data
- The company offers a data cloud solution that enables enterprises to recover from cyber events faster, manage and secure their data at enterprise scale, and gain valuable insights with industry-leading AI capabilities
- Cohesity's mission is to strengthen business resilience by delivering a simple, efficient, and scalable data management platform
Company Specialties:
- Data Protection
- Security
- Ransomware Recovery
- Data Management
- SaaS
- Hybrid Cloud
- Cloud
- Multicloud
- Cyber Recovery
- Data Recovery
- Disaster Recovery
- Data Infrastructure
- Data Center
- IT
- Business Continuity
- Analytics
- Test & Dev
- Distributed Systems
- Information Technology
- Digital Transformation
- AI
- Generative AI
- Cyber Resilience
- Data Resilience
- Backup and Recovery
- Instant Mass Restore
- Long-Term Retention
- Threat Protection
- Data Classification
- Data Mobility
- Data Migration
- Data Replication
- Data Insights
- Responsible AI
- AI Conversational Search
- and Conversational AI
Company Website: cohesity.com
ASSUMPTION: Cohesity's focus on data security and management makes it an attractive option for candidates interested in working for a company at the forefront of data protection technology.
📊 Role Analysis
Career Level: Mid-level. This role offers opportunities for growth and development within the data analytics field.
Reporting Structure: The Marketing Operations Manager - Data & Analytics will report directly to the Senior Marketing Operations Manager and work closely with various cross-functional teams, including marketing, sales, and product.
Work Arrangement: Hybrid (2-3 days in-office). This arrangement offers flexibility and a balance between in-office collaboration and remote work.
Growth Opportunities:
- Potential career progression into senior or management roles within the data analytics or marketing operations fields
- Opportunities to work on diverse projects and gain exposure to various aspects of the business
- Access to professional development resources and training to enhance skills and knowledge
ASSUMPTION: The hybrid work arrangement and opportunities for growth make this role an attractive option for candidates seeking a balance between work-life integration and career advancement.
🌍 Location & Work Environment
Office Type: Cohesity's office in Heredia, Costa Rica, offers a modern and collaborative work environment with state-of-the-art facilities and amenities.
Office Location(s): Heredia, Costa Rica (Office) & Costa Rica (Remote)
Geographic Context:
- Heredia is located in the Central Valley of Costa Rica, offering a pleasant climate, rich culture, and easy access to outdoor activities and attractions
- The office is situated near major highways, providing convenient commuting options
- The remote work option allows for flexibility and a better work-life balance
Work Schedule: Full-time, 40 hours per week. Flexible work hours and remote work options available.
ASSUMPTION: The hybrid work arrangement and convenient office location make this role an attractive option for candidates seeking a balance between work-life integration and a pleasant work environment.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening with the hiring manager
- Technical assessment or case study
- Final interview with the senior marketing operations manager and/or other team members
Key Assessment Areas:
- Data analysis and visualization skills
- Problem-solving abilities
- Communication and teamwork skills
- Cultural fit and alignment with company values
Application Tips:
- Highlight relevant experience and skills in your resume, focusing on data analysis, visualization, and problem-solving
- Prepare for behavioral and situational interview questions that assess your communication, teamwork, and problem-solving skills
- Research Cohesity's company culture and values to demonstrate your cultural fit and enthusiasm for the role
ATS Keywords: Data Analysis, Statistical Analysis, Data Visualization, Excel, SQL, Python, R, Communication, Teamwork, Problem-Solving, Eagerness to Learn, CRM Systems, ERP Systems, Cloud Platforms, Data Integrity
ASSUMPTION: The interview process will focus on assessing the candidate's technical skills, problem-solving abilities, and cultural fit, with a strong emphasis on data analysis and visualization.
🛠️ Tools & Technologies
- Excel
- Power BI
- Tableau
- SQL
- Python
- R
- Cloud-based platforms (Snowflake, Google Cloud, Azure)
ASSUMPTION: The required tools and technologies for this role are widely used in the data analytics industry and can be learned or improved upon with relevant experience and training.
👔 Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Innovative
- One Cohesity
- Integrity
- Accountable
Work Style:
- Collaborative
- Data-driven
- Adaptable
- Results-oriented
Self-Assessment Questions:
- Do you thrive in a collaborative work environment and enjoy working with cross-functional teams?
- Are you comfortable using data to drive decision-making and identify trends?
- Do you possess strong communication skills and the ability to translate complex data insights into actionable business decisions?
ASSUMPTION: Candidates who align with Cohesity's company values and work style will be more likely to succeed in this role and contribute to the company's mission.
⚠️ Potential Challenges
- The role may involve working with large datasets and require strong attention to detail to ensure data accuracy and integrity
- Candidates may face competition from other experienced data analysts and specialists in the job market
- The hybrid work arrangement may present challenges in maintaining work-life balance for some candidates
- The role may require occasional travel to Cohesity's headquarters or other offices for meetings and training
ASSUMPTION: Addressing these potential challenges proactively will help candidates succeed in this role and contribute to Cohesity's mission.
📈 Similar Roles Comparison
- This role differs from other data analyst positions in its focus on marketing operations and collaboration with cross-functional teams
- Compared to other marketing operations roles, this position places a greater emphasis on data analysis and visualization
- Career progression in this role may lead to senior or management positions within data analytics or marketing operations
ASSUMPTION: Understanding the unique aspects of this role and how it compares to similar positions will help candidates determine if this opportunity aligns with their career goals and interests.
📝 Sample Projects
- Analyzing customer data to identify trends and patterns in purchasing behavior
- Creating data visualizations to communicate insights and recommendations to stakeholders
- Collaborating with marketing teams to develop targeted campaigns based on data-driven insights
ASSUMPTION: Familiarity with these types of projects will help candidates understand the day-to-day responsibilities and expectations of the Marketing Operations Manager - Data & Analytics role.
❓ Key Questions to Ask During Interview
- Can you describe a typical day or week in this role?
- How does this role collaborate with other teams, such as marketing, sales, and product?
- What opportunities are there for professional development and growth within this role?
- How does Cohesity support work-life balance for its employees?
- What are the key priorities for this role in the first 30, 60, and 90 days?
ASSUMPTION: Asking these questions will help candidates gain a better understanding of the role's day-to-day responsibilities, work environment, and growth opportunities.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight relevant experience and skills, focusing on data analysis, visualization, and problem-solving
- Prepare for behavioral and situational interview questions that assess your communication, teamwork, and problem-solving skills
- Research Cohesity's company culture and values to demonstrate your cultural fit and enthusiasm for the role
- Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
