📌 Core Information
🔹 Job Title: Senior Marketing Ops & Strategy Data Analyst
🔹 Company: Academic Partnerships
🔹 Location: US - Remote
🔹 Job Type: Full-Time
🔹 Category: Data & Analytics
🔹 Date Posted: May 22, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Remote OK
🚀 Job Overview
Key aspects of this role include:
- Designing, building, and optimizing data infrastructure for actionable insights
- Transforming raw data into clean, well-modeled datasets
- Collaborating cross-functionally with various teams to ensure data accessibility and quality
- Defining core business metrics and supporting consistent reporting across the organization
ASSUMPTION: This role requires a balance of technical skills and stakeholder management, with a focus on driving data-driven decisions across the company.
📋 Key Responsibilities
✅ Build and maintain data models using SQL, Python (DataBricks), and dbt (or similar tools) that power dashboards, KPIs, and advanced analytics
✅ Ensure data quality and trust through thoughtful testing, version control, documentation, monitoring practices, and tools like dbt, Montecarlo, Metaplane
✅ Collaborate cross-functionally with analysts, engineers, and business stakeholders to understand data needs and translate them into scalable data solutions
✅ Build the semantic layer and define core business metrics to support consistent reporting across the organization
✅ Perform other duties as assigned
ASSUMPTION: The role involves a mix of hands-on data work and strategic thinking to meet the evolving needs of the business.
🎯 Required Qualifications
Education: B.S. in quantitative fields (e.g., Computer Science, Math, Engineering, Economics, Business)
Experience: 4+ years of experience in analytical engineering
Required Skills:
- SQL - Advanced
- Python - Intermediate
- Data Modeling - Intermediate
- DBT - Intermediate
- B2C Experience - Intermediate
- GitHub - Basic
- Communication skills - Intermediate
- BI Tools Experience - Intermediate
Preferred Skills:
- M.S. in quantitative fields
ASSUMPTION: A strong background in data modeling, SQL, and Python is crucial for success in this role, along with intermediate skills in DBT and BI tools.
💰 Compensation & Benefits
Salary Range: $120,000 - $160,000 per year (based on industry standards for a Senior Data Analyst role with 5-10 years of experience in the education technology sector)
Benefits:
- 18 days PTO + Winter Shutdown
- 12 designated holidays + 1 floating holiday
- Medical - four options
- Dental
- Vision
- Life & Disability (company paid)
- Flexible Spending Account & Health Savings Account
- Retirement plan with company match
- Maternity / Paternity / Parental Leave (company paid)
- Volunteer Time Off
- Wellness program
- Alternative medicine options
- Pet discounts
- Accident, Critical Illness, and Hospital Indemnity
- Tuition Reimbursement for employees and their dependents
- Continuous Professional and Leadership Development Programs
- Rewards & Recognition programs
Working Hours: Full-time, typically Monday-Friday, 9:00 AM - 5:00 PM ET, with flexibility for remote work
ASSUMPTION: The salary range is an estimate based on industry standards and may vary depending on the candidate's experience and skills. The benefits package is comprehensive and includes health, wellness, and professional development opportunities.
📌 Applicant Insights
🔍 Company Context
Industry: Higher Education. Academic Partnerships operates in the education technology sector, focusing on expanding access to high-quality, affordable, and workforce-relevant education, especially for working and adult students.
Company Size: 1,001-5,000 employees. As a mid-sized company, Academic Partnerships offers a mix of structured processes and opportunities for growth and innovation.
Founded: 2007. Academic Partnerships was founded with a mission to expand access to high-quality, affordable education and has since grown to serve regional universities across the United States.
Company Description:
- Academic Partnerships assists regional universities in increasing their access and impact by making their academic programs available to students online.
- The company brings a single-minded dedication to student success, an integrated set of services, and data-driven performance to its collaboration with university partners.
- Academic Partnerships is committed to expanding access to education, particularly for working and adult students.
Company Specialties:
- Higher education management
- Online education
- Edtech
Company Website: http://www.risepoint.com
ASSUMPTION: Academic Partnerships' focus on student success and data-driven performance creates an environment that values data-informed decision-making and continuous improvement.
📊 Role Analysis
Career Level: Senior. This role is suited for experienced data professionals seeking to apply their skills in a strategic capacity, driving data-driven decisions across the organization.
Reporting Structure: The Senior Data Analyst will report directly to the Director of Marketing Analytics and collaborate with various teams, including data engineers, analysts, data scientists, and business leaders.
Work Arrangement: Remote OK. The role offers flexibility for remote work, with the expectation of occasional on-site collaboration with team members and stakeholders.
Growth Opportunities:
- Potential to advance to a leadership role within the Marketing Analytics team or explore other opportunities within the organization as the company grows.
- Chance to develop skills in data modeling, data engineering, and stakeholder management through hands-on experience and collaboration with diverse teams.
- Opportunity to work on high-impact projects that directly influence the company's strategic direction and student outcomes.
ASSUMPTION: The role offers ample opportunities for professional growth and development, with a focus on driving data-driven decisions and continuous improvement.
🌍 Location & Work Environment
Office Type: Remote-first with occasional on-site collaboration. Academic Partnerships offers a flexible work environment that supports remote work and on-site collaboration as needed.
Office Location(s): The company has a physical headquarters, but the role is remote and can be performed from anywhere in the United States.
Geographic Context:
- The role is remote and can be performed from anywhere in the United States, with occasional on-site collaboration with team members and stakeholders.
- The company's headquarters is located in the United States, and it serves regional universities across the country.
- The education technology sector is growing and evolving, with a strong focus on expanding access to education and improving student outcomes.
Work Schedule: Full-time, typically Monday-Friday, 9:00 AM - 5:00 PM ET, with flexibility for remote work and occasional on-site collaboration.
ASSUMPTION: The remote work arrangement offers flexibility and work-life balance, with the expectation of occasional on-site collaboration to foster team cohesion and drive progress on key initiatives.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with the hiring manager
- Technical assessment or case study
- Final interview with the team
- Background check and offer
Key Assessment Areas:
- Technical skills in data modeling, SQL, Python, and DBT
- Problem-solving and analytical thinking
- Communication and stakeholder management skills
- Cultural fit and alignment with the company's mission and values
Application Tips:
- Highlight relevant experience and achievements in data modeling, data engineering, and stakeholder management.
- Tailor your resume and cover letter to emphasize the skills and qualifications required for this role.
- Prepare for the technical assessment or case study by reviewing relevant tools and concepts, and practicing problem-solving exercises.
- Research Academic Partnerships' mission, values, and culture to demonstrate your fit and enthusiasm for the role.
ATS Keywords: SQL, Python, Data Modeling, DBT, B2C Experience, GitHub, Communication Skills, BI Tools, Data-Driven Decisions, Stakeholder Management, Education Technology, Higher Education
ASSUMPTION: The application process is designed to assess technical skills, problem-solving abilities, and cultural fit, with a focus on finding the best candidate for the role and the organization.
🛠️ Tools & Technologies
- SQL
- Python (DataBricks)
- DBT
- BI Tools (e.g., Tableau, Power BI)
- GitHub
- Data modeling tools (e.g., ER/Studio, PowerDesigner)
ASSUMPTION: The tools and technologies required for this role are industry-standard and widely used in data analytics and engineering. Familiarity with these tools is essential for success in the role.
👔 Cultural Fit Considerations
Company Values:
- Student-centered
- Data-driven
- Innovative
- Collaborative
- Adaptable
Work Style:
- Results-oriented
- Collaborative
- Adaptable
- Problem-solving
- Data-driven
Self-Assessment Questions:
- Do you have a strong commitment to student success and a passion for expanding access to education?
- Are you comfortable working in a collaborative, data-driven environment and adapting to changing priorities?
- Do you have strong communication skills and the ability to manage stakeholders effectively?
ASSUMPTION: Academic Partnerships values candidates who align with their mission, values, and work style, with a strong commitment to student success and a passion for data-driven decision-making.
⚠️ Potential Challenges
- Managing competing priorities and balancing multiple projects simultaneously
- Keeping up with the evolving data landscape and emerging technologies in the education technology sector
- Occasional on-site collaboration and travel may be required, depending on the company's needs and the candidate's location
- Working with large datasets and ensuring data quality and trust in a remote work environment
ASSUMPTION: The role presents unique challenges that require strong project management, adaptability, and a commitment to data quality and trust in a remote work environment.
📈 Similar Roles Comparison
- This role is similar to a Senior Data Analyst or Data Engineer role in other industries, with a focus on data modeling, data engineering, and stakeholder management.
- However, the role is unique in its focus on the education technology sector and the company's commitment to student success and data-driven decision-making.
- Career paths in this role may include advancement to a leadership role within the Marketing Analytics team or exploration of other opportunities within the organization as it grows.
ASSUMPTION: While this role shares similarities with other Senior Data Analyst or Data Engineer roles, its focus on the education technology sector and commitment to student success sets it apart and offers unique opportunities for growth and impact.
📝 Sample Projects
- Developing and maintaining data models to support dashboards, KPIs, and advanced analytics for key business areas, such as student enrollment, retention, and program performance
- Collaborating with data engineers and business stakeholders to design and implement data pipelines and ETL processes that ensure data quality and trust
- Defining core business metrics and supporting consistent reporting across the organization to drive data-driven decision-making and continuous improvement
ASSUMPTION: Sample projects in this role involve a mix of hands-on data work and strategic thinking, with a focus on driving data-driven decisions and continuous improvement.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within the organization?
- How does the company support professional development and growth for employees in this role?
- Can you provide examples of how data-driven decision-making has influenced the company's strategic direction and student outcomes?
- What is the expected timeline for onboarding and ramping up in this role?
- How does the company foster a collaborative and inclusive work environment, particularly in a remote setting?
ASSUMPTION: Key questions to ask during the interview focus on understanding the team structure, professional development opportunities, data-driven decision-making, onboarding, and company culture in a remote work environment.
📌 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 in data modeling, data engineering, and stakeholder management.
- Prepare for the technical assessment or case study by reviewing relevant tools and concepts, and practicing problem-solving exercises.
- Research Academic Partnerships' mission, values, and culture to demonstrate your 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 for the role.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
