Sr. Advisor – Analytics and Data Visualization (Memphis, TN or Remote in USA)

St. Jude Children’s Research Hospital•Memphis, TN

10d•Remote

About The Position

The Sr. Advisor, Analytics & Data Visualization serves as a strategic analytics partner to Product, Marketing, Digital Experience, Fundraising, and Enterprise stakeholders. The role transforms complex behavioral, audience, constituent, fundraising, and digital experience data into actionable insights that inform decisions, improve constituent experiences, optimize digital products, and measure organizational outcomes. The position applies expertise in Adobe Analytics, product and journey analytics, experimentation, attribution, personalization measurement, visualization, and data storytelling. As a trusted consultant, the Sr. Advisor helps stakeholders connect audience exposure, content and creative engagement, digital interactions, constituent journeys, and business outcomes. The role supports evolving Product Analytics capabilities, including personalization, experimentation, audience-based experiences, journey optimization, and next-best-action strategies. The Sr. Advisor designs measurement frameworks, analyzes constituent behavior and experiences across digital touchpoints, evaluates audiences and personalization, and measures experimentation and incrementality. The role also develops attribution and outcome measurement approaches, creates dashboards and executive-facing reports, conducts advanced analyses across enterprise data sources, and partners with stakeholders to promote data integrity, measurement governance, and reliable decision-making.

Requirements

Bachelor's degree in Analytics, Statistics, Data Science, Mathematics, Marketing Analytics, Business, Information Systems, or a related field.
7+ years of experience in analytics, business intelligence, product analytics, digital analytics, marketing analytics, or a related discipline.
Advanced hands-on experience with Adobe Analytics, including implementation understanding, segmentation, reporting, analysis, insight generation, and stakeholder consultation.
Demonstrated experience in Product Analytics and Journey Analytics.
Experience designing and executing experimentation programs, A/B testing, incrementality analysis, and optimization initiatives.
Experience evaluating audience performance, personalization strategies, content effectiveness, creative performance, and constituent outcomes.
Experience developing attribution methodologies and outcome measurement frameworks.
Expertise in Tableau or similar data visualization platforms.
Advanced SQL skills and experience working with large, complex datasets.
Strong experience translating complex datasets into business insights and recommendations.
Ability to influence business decisions through analytics storytelling, executive presentations, and consultative partnership.
Strong communication, presentation, and stakeholder management skills.
Experience working in cross-functional, highly collaborative environments.

Nice To Haves

Experience with Adobe Experience Cloud products and related marketing technology platforms.
Experience with constituent engagement, fundraising analytics, nonprofit analytics, or customer experience analytics.
Proficiency with Python, R, or other advanced analytics tools.
Experience integrating multiple data sources to create comprehensive performance measurement frameworks.
Familiarity with APIs, digital data collection frameworks, and marketing technology ecosystems.
Experience supporting personalization, audience strategies, next-best-action initiatives, and digital product optimization.

Responsibilities

Serve as a trusted analytics advisor to Product, Marketing, Digital Experience, and business leaders, translating business questions into analytical solutions.
Partner with stakeholders to define measurement strategies, KPIs, and success metrics for digital products, experiences, campaigns, personalization efforts, and strategic initiatives.
Deliver actionable insights and recommendations supporting business objectives, constituent engagement, digital optimization, and fundraising outcomes.
Communicate findings through analytics storytelling, visualization, and executive-level presentations.
Collaborate across functions to identify optimization opportunities in digital experiences, constituent journeys, content strategies, and audience engagement.
Analyze constituent behavior in the context of audience segments, content consumption, creative exposure, experience interactions, and organizational outcomes.
Consult on analytics methodologies, visualization practices, experimentation frameworks, attribution, and performance measurement.
Design and implement measurement frameworks for digital products, constituent experiences, audience-based initiatives, personalization programs, and business initiatives.
Analyze behavior across websites, applications, campaigns, and other digital touchpoints; identify trends and opportunities.
Evaluate digital experiences through journey analytics connecting audience exposure, engagement, behavior, conversion, and outcomes.
Support acquisition, engagement, retention, account management, and fundraising journeys with data-informed recommendations.
Identify friction points, drop-offs, and optimization opportunities across constituent and donor journeys.
Develop holistic experience measurement and business impact analyses beyond individual channel metrics.
Establish measurement frameworks for next-best-action strategies, personalization, and audience experiences.
Evaluate audience performance across segments and identify opportunities to improve targeting, engagement, and constituent outcomes.
Measure personalization strategies, dynamic experiences, and audience-based experiences.
Analyze content and creative performance in the context of audience engagement, constituent behavior, and fundraising results.
Assess how content, messaging, creative assets, and digital experiences influence journeys and outcomes; recommend ways to improve relevance and effectiveness.
Design, evaluate, and communicate results from A/B tests, multivariate tests, and other experiments.
Partner with Product and Digital Experience teams to define experimentation strategies, hypotheses, success metrics, and measurement plans.
Design and execute incrementality analyses to quantify the impact of products, campaigns, personalization, and optimization efforts.
Apply analytical methods to distinguish correlation from business impact and measure causal relationships where appropriate.
Quantify business outcomes and constituent impacts resulting from experience enhancements and optimization initiatives.
Translate experimentation findings into practical recommendations and promote continuous learning, testing, and evidence-based decisions.
Develop attribution and measurement approaches connecting digital engagement, audience exposure, constituent interactions, and business outcomes.
Analyze the contributions of experiences, campaigns, channels, content, audience segments, and personalization to engagement and fundraising performance.
Evaluate outcomes across constituent journeys to identify drivers of conversion, retention, engagement, and mission impact.
Build measurement frameworks connecting upstream digital behaviors to downstream organizational results.
Design, develop, and maintain interactive dashboards, reports, scorecards, and visualizations.
Use Tableau and other reporting platforms to provide intuitive, actionable, and accessible insights.
Create executive-facing reporting on performance trends, audience behavior, experimentation results, risks, and opportunities.
Turn complex datasets into business narratives and tailor visualizations and presentations to operational and executive audiences.
Champion data visualization practices and support analytics literacy across the organization.
Perform complex quantitative and qualitative analyses across datasets, platforms, and business functions.
Integrate and interpret data from Adobe Analytics, constituent profiles, CRM systems, fundraising platforms, experimentation tools, audience segmentation platforms, and other enterprise sources.
Analyze trends, patterns, and relationships affecting engagement, fundraising, personalization, and experience performance.
Develop predictive, diagnostic, exploratory, and outcome-driven analyses; use advanced analytical techniques to identify opportunities and validate hypotheses.
Partner with stakeholders to ensure data integrity, consistency, and reliability across analytical solutions.
Support measurement governance, digital data collection standards, tagging frameworks, and analytics implementation practices.
Identify data quality issues and work with technical teams on corrective actions.
Document analytical methodologies, assumptions, attribution models, and measurement approaches; promote strong data governance.