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Intern, Marketing (Data Science)

Summary

Marketing Data Science Intern at Nextiva analyzes marketing and revenue data, builds AI agents for marketing tasks, and works with Python, SQL, and various tools including HubSpot, Salesforce, and AI models like Cursor and Claude.

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.


Location: This is an onsite role based at Nextiva’s Scottsdale headquarters (9451 E. Via de Ventura, Scottsdale, AZ 85256). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity.

In-Office Expectation: This role is expected to work onsite five days per week. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity.


The Role

Nextiva spends tens of millions of dollars on marketing every year. We generate billions of customer conversations. We have one of the richest GTM datasets in B2B SaaS, and marketing itself is being rebuilt around AI agents. The companies that figure this out first will operate with fewer people, more leverage, and faster cycles than anyone else in the market. We're going to be one of those companies, and you're going to help us build it.

You'll partner with Marketing, RevOps, BI, and Finance to turn our data into decisions, and you'll ship the AI agents that make those decisions faster: for traffic intelligence, lead qualification, opportunity surfacing, and the ones we haven't named yet.

What You'll Do

Marketing Intelligence & Analytics:

  • Analyze marketing, pipeline, and revenue performance to help surface trends, risks, and opportunities
  • Support deep-dive analyses on the ambiguous business questions that don't fit in a dashboard
  • Help translate data into clear, actionable recommendations for marketing leadership
  • Learn to build frameworks for measuring marketing effectiveness across channels and funnel stages

AI Agents & Automation:

  • Build agentic workflows using Cursor, Claude, OpenAI, and other frontier models
  • Wire agents to our data and tools: HubSpot, Salesforce, our data warehouse, GA, Teams, Slack, and internal APIs
  • Prototype, deploy, iterate, measure, repeat
  • Use AI-assisted analysis to uncover trends, anomalies, and optimization opportunities at scale

Data Strategy & Quality:

  • Partner with Marketing Ops, RevOps, and BI to help evolve our marketing data ecosystem into something scalable and trustworthy
  • Help identify gaps and inefficiencies in how we measure, and support the work to fix them

What Success Looks Like

  • Marketing leadership trusts the data and the agents you build
  • Hard questions get answered faster, with sharper clarity
  • Your agents move from prototype into production
  • You graduate having shipped something real, measured in business outcomes, not lines of code

What We're Looking For

  • Current student or recent grad in Computer Science, Data Science, Statistics, Marketing Analytics, or a related technical field
  • At least one prior internship or a substantial academic or personal project in analytics, data science, or applied AI
  • Comfortable in Python and SQL, and comfortable in chaos
  • Already shipping AI projects on your own time
  • Curious about marketing, sales, and the GTM side of a software business
  • Strong opinions about what AI can and can't do today
  • Comfortable operating in ambiguous, fast-moving environments

Preferred

  • Experience with BI and visualization platforms (Tableau, Looker, Power BI) or CRM and marketing automation tools
  • Exposure to modern data warehouse environments or analytics engineering concepts
  • Attribution modeling, funnel analysis, or forecasting exposure
  • B2B SaaS or GTM analytics experience

Nextiva DNA (Core Competencies)

Nextiva’s most successful team members share common traits and behaviors:

  • Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go.
  • Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work.
  • Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates.

Total Rewards

Our Total Rewards offerings are designed to allow Nexties to take care of themselves and their families so they can be their best, in and out of the office.

Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.

  • 🍏 Health: Multiple health plan options to suit your needs, including medical, dental, vision, and telemedicine coverage
  • 💼 Insurance: Life, disability, and supplemental indemnity plans
  • ⚖️ Work-Life Balance: Flexible Time Off for salaried employees, PTO for hourly employees, Paid Sick Time, Paid Parental Bonding Leave, and holiday pay
  • 💰 Financial Security: 401(k) with company match, Health Savings Accounts with company contributions, Dependent Care FSA
  • 🤸‍ Wellness: Employee Assistance Program (EAP) and comprehensive wellness initiatives
  • 🌱 Growth: Access to ongoing learning and development opportunities and career advancement

At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career!


Nextiva is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Nextiva participates in the E-Verify Program where and as required by law. For additional information about E-Verify visit USCIS.

#LI-MS1 #LI-Onsite


Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we're the future of customer experience and team collaboration through our AI-powered, conversation-centric platform.

Want to see what life at Nextiva is all about? Connect with us on Instagram, Instagram MX, YouTube, LinkedIn, and the Nextiva Blog.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Preferred First Name optional
  • Are you a current or former Nextiva employee? choose one
  • Are you legally authorized to work in the United States? choose one
  • Will you now or in the future require sponsorship to work in the United States? choose one
  • Are you subject to any obligations or restrictions that might impact your ability to work at Nextiva? choose one
  • This role is based at Nextiva’s Scottsdale headquarters (9451 E. Via de Ventura, Scottsdale, AZ 85256) and reflects our in-office approach to collaboration, enabling faster decisions and stronger execution. How does this align with your ability to work onsite? choose one
  • Relevant Years of Experience: choose one
  • Compensation Expectations:
  • As a student or recent graduate, how long are you able to commit to this position? Please specify the duration (e.g., 3 months, 6 months, 1 year) and any relevant details about your availability.
  • We’re excited to get started and are looking to fill this role as soon as possible. Are you currently available to work a full-time (40h) Monday–Friday schedule. choose one
  • Which of the following industries have you worked in directly? (select all that apply) choose any
  • Which of the following have you personally used in a project, internship, or professional setting? Select the ONE answer that best represents your experience. choose one · optional
  • Which of these have you PERSONALLY done? choose one
  • Which best describes the least structured data/technical project you have successfully completed? choose one
  • Which best describes the strongest analytics/data project you personally completed? choose one
  • Tell us about one analysis where your findings led you to recommend a specific change. What did you find, what did you recommend, and what was the expected or measured impact? written answer
  • LinkedIn Profile: optional
  • Portfolio: optional

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