Senior Data Analyst, Digital Growth & Optimization

WELLTOWER – REIMAGINE REAL ESTATE WITH US 

At Welltower, we’re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious—guided by our mantra: The only easy day was yesterday. 

We’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team.  

SUMMARY

We are seeking a highly analytical, business-minded senior data analyst to help identify, quantify, and unlock ROI positive opportunities through digital marketing. This role will partner closely with Digital Marketing, FP&A, and Data Science to move beyond retrospective reporting and toward forward-looking, scenario-based decision making.

The analyst will lead initiatives that prove how digital investments (efficiency gains, new channels, tooling, or processes) translate into measurable NOI (net operating income) impact across our portfolio. This role is ideal for someone who thrives at the intersection of data, strategy, and execution and who is motivated by building new capabilities rather than maintaining existing dashboards.

KEY RESPONSIBILITIES

NOI-Driven Analytics & Scenario Modeling

• Develop forward-looking analytical models that connect digital marketing programs, objectives, and initiatives to business outcomes.
• Build models to evaluate impact from:
• Marketing mix and program effectiveness and optimization (paid vs organic, channel expansion, direct managed media vs partner consultant)
• Budget reallocation and efficiency improvements
• New digital tools, platforms, or processes
• Partner with marketing leadership to define KPIs, benchmarks, and success metrics across channels (paid media, email, SEO, social, etc.).
• Translate complex analyses into clear recommendations for channel leaders and senior leadership; create executive-ready narratives connecting insights to action.
• Partner with FP&A to align digital performance assumptions with financial forecasts.

Digital Marketing & Growth Analytics Enablement

• Serve as the primary analytical partner for Digital Marketing initiatives, including performance measurement, attribution, and experimentation (e.g. A/B testing).
• Design measurement frameworks to assess true incremental impact.
• Identify under/unutilized or emerging digital channels, forecast budget for, and quantify their potential NOI contribution.
• Support a culture of testing with clear ROI success criteria.

Data Strategy, Tooling & Insight Creation

• Define and develop scalable data models for cross-functional insight: Digital Marketing first, but applicable and accessible to Operations and Finance teams.
• Partner with Data & Insights teams on data accessibility and ways to improve data quality and automation.
• Educate stakeholders on interpreting data, using dashboards, and making informed decisions with regards to digital marketing.
• Identify opportunities to introduce new analytical tools or processes to improve decision making, speed, and accuracy.

OTHER DUTIES

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job.  Duties, responsibilities, and activities may change at any time with or without notice.

TRAVEL

Some planned and pre-scheduled overnight travel will be expected.

MINIMUM REQUIREMENTS

Required:

• 8+ years of experience in analytics, FP&A, strategy, or data science roles with direct business impact. 5+ years of experience in marketing analytics, business intelligence, or data engineering roles.
• Deep experience in Power BI (or equivalent) and Google Analytics.
• Experience building financial or operational models tied to P&L outcomes.
• Advanced SQL and/or Python/R proficiency; strong Excel modeling skills.
• Deep understanding of digital marketing metrics (impressions, CTR, conversion rate, CAC/CPA, LTV, ROAS, attribution models).
• Proven ability to translate ambiguous