Marketing Intelligence Lead (Data Scientist)

Nextiva • Scottsdale, AZ

14h • Onsite

About The Position

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. 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 four days per week. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity. 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. Most of that data still sits in dashboards no one reads, attribution models no one trusts, and weekly reports nobody acts on. We're going to change that. This is not a reporting role. This is not a dashboard management role. This is the role that turns marketing data into decisions. You'll partner with Marketing, RevOps, BI, and Finance to rebuild how the company sees marketing performance. You'll be the analyst whose work the CMO and CFO cite in the boardroom, and the one Marketing leadership calls when the question is hard and the stakes are real. This is an individual contributor role with high visibility and influence across the organization. You'll have the reach of a director and the autonomy of an analyst.

Requirements

• 3+ years in marketing analytics, marketing intelligence, data science, or related analytical roles
• Strong SQL and hands-on data analysis. You don't need someone to pull the number for you
• Experience with BI and visualization platforms: Tableau, Looker, Power BI, or equivalents
• Familiarity with CRM, marketing automation, and modern data warehouse environments
• AI-native. You use Claude, ChatGPT, and the rest of the stack to do more, faster, every day
• Excellent business judgment. You know when to push a model further and when to ship the answer
• Strong communication. You can write a finding the way a journalist writes a headline: clear, sharp, undeniable
• Comfortable operating in ambiguous, fast-moving environments

Nice To Haves

• B2B SaaS or GTM analytics experience
• Cross-functional work with RevOps, Finance, and Marketing leadership
• Attribution modeling, funnel analysis, forecasting, or investment modeling experience
• Exposure to modern data stack environments and analytics engineering concepts
• Predictive analytics or statistical modeling background

Responsibilities

• Analyze marketing, pipeline, and revenue performance to surface trends, risks, opportunities, and the drivers behind them
• Conduct deep-dive analyses to answer the ambiguous business questions that don't fit in a dashboard
• Translate data into clear, actionable recommendations for marketing leadership
• Tell the org not just what happened, but why it happened and what to do next
• Build scalable frameworks for measuring marketing effectiveness across channels, campaigns, and funnel stages
• Partner with Marketing Ops, RevOps, and BI to evolve our marketing data ecosystem into something scalable, trustworthy, and analysis-ready
• Improve the quality, accessibility, and consistency of marketing performance data
• Identify gaps, inefficiencies, and structural problems in how we measure, and lead the work to fix them
• Support forecasting, pacing, and pipeline analysis across the marketing org
• Analyze funnel conversion trends, investment efficiency, and performance drivers
• Build models that improve visibility into marketing contribution and business impact
• Help leadership evaluate scenarios, tradeoffs, and investment decisions with confidence
• Leverage modern AI tools and workflows to accelerate insight generation and decision velocity
• Use automation and AI-assisted analysis to uncover trends, anomalies, and optimization opportunities at scale
• Apply strategic judgment and analytical rigor to validate findings before they become recommendations
• Help evolve marketing toward a proactive, intelligent analytics function rather than a reactive reporting one

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed