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

ALSAC • Memphis, TN

12d

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 to inform decisions, improve constituent experiences, optimize digital products, and measure organizational outcomes.

The position connects audience exposure, content and creative engagement, digital interactions, constituent journeys, attribution, and business outcomes through advanced analytics, visualization, and storytelling. It advises stakeholders on Adobe Analytics, product and journey analytics, experimentation, attribution, personalization measurement, and data storytelling, supporting capabilities such as personalization, audience-based experiences, journey optimization, and next-best-action strategies.

The Sr. Advisor develops measurement frameworks and analyses; evaluates audiences, content, experiences, and journeys; designs and communicates experiments and incrementality analyses; develops attribution and outcome measurement approaches; and creates dashboards, reports, scorecards, and executive-facing visualizations. The role also integrates data from enterprise sources, supports data governance and measurement quality, and communicates recommendations to stakeholders across operational and executive audiences.

Requirements

• Bachelor's degree in Analytics, Statistics, Data Science, Mathematics, Marketing Analytics, Business, Information Systems, or a related field.
• At least 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 performing 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 meaningful business insights and recommendations.
• Demonstrated 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 and 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

• Translate complex business questions into analytical solutions and advise Product, Marketing, Digital Experience, and business leaders.
• 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 experience optimization, and fundraising outcomes.
• Support data-informed decision-making through communication, analytics storytelling, data visualization, and executive-level presentations.
• Identify opportunities to optimize digital experiences, constituent journeys, content strategies, and audience engagement programs.
• Analyze constituent behavior in the context of audience segments, content consumption, creative exposure, experience interactions, and downstream 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 strategic initiatives.
• Analyze constituent behavior across websites, applications, campaigns, and digital touchpoints; identify trends and actionable insights.
• 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-off patterns, and optimization opportunities across constituent and donor journeys.
• Develop holistic experience measurement and business impact assessments beyond individual channel metrics.
• Establish measurement frameworks for next-best-action strategies, personalization initiatives, and audience experiences.
• Evaluate audience performance and behavior across segments to identify opportunities for improved 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 experience relevance, constituent engagement, and digital effectiveness.
• Design, evaluate, and communicate results from A/B tests, multivariate testing, and experimentation initiatives.
• 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 and incrementality findings into practical recommendations.
• Promote continuous learning, testing, optimization, and evidence-based decision-making.
• 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 constituent outcomes across journeys and 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 behaviors, experimentation outcomes, risks, and opportunities.
• Transform complex datasets into business narratives and tailor visualizations and presentations to operational and executive audiences.
• Promote data visualization best practices and analytics literacy across the organization.
• Perform complex quantitative and qualitative analyses across datasets, platforms, and business functions.
• Integrate and interpret information from Adobe Analytics, constituent profiles, CRM systems, fundraising platforms, experimentation tools, audience segmentation platforms, and other enterprise data sources.
• Analyze trends, patterns, and relationships that influence constituent engagement, fundraising outcomes, personalization effectiveness, and experience performance.
• Develop predictive, diagnostic, exploratory, and outcome-driven analyses supporting strategic priorities.
• Use advanced analytical techniques to identify opportunities, validate hypotheses, and support organizational decision-making.
• 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 best practices.
• Identify data quality issues and collaborate with technical teams on corrective actions.
• Document analytical methodologies, assumptions, attribution models, and measurement approaches.
• Promote data governance practices that support trustworthy, repeatable decision-making.

Benefits

• Core medical coverage, including low-cost, low-deductible medical, dental, and vision insurance plans.
• 401(k) retirement plan with 7% employer contribution.
• Exceptional paid time off.
• Maternity and paternity leave.
• Infertility treatment program.
• Adoption assistance.
• Education assistance.
• Enterprise learning and development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior