Quantitative developer Jobs in Memphis, TN

At ALSAC you do more than make a living; you make a difference.

The Sr. Advisor, Analytics & Data Visualization serves as a strategic analytics partner to Product, Marketing, Digital Experience, Fundraising, and Enterprise stakeholders. This role is responsible for transforming complex data into actionable insights that inform decision-making, improve constituent experiences, optimize digital products, and measure organizational outcomes.

The position leverages behavioral, audience, constituent, fundraising, and digital experience data to develop holistic analyses that connect audience exposure, content and creative engagement, digital interactions, constituent journeys, attribution, and business outcomes. Through advanced analytics, visualization, and storytelling, the Sr. Advisor enables stakeholders to understand performance, identify opportunities, quantify impact, and make informed decisions that enhance constituent engagement and mission impact.

This role combines deep expertise in Adobe Analytics, product analytics, journey analytics, experimentation, attribution, personalization measurement, and data storytelling. The Sr. Advisor serves as a trusted consultant, helping stakeholders connect audience, experience, exposure, behavior, and outcomes to support evolving Product Analytics capabilities, including personalization, experimentation, audience-based experiences, journey optimization, and next-best-action strategies.

Key Responsibilities:

Strategic Analytics & Business Partnership

• Serve as a trusted advisor to Product, Marketing, Digital Experience, and business leaders by translating complex business questions into analytical solutions.
• Partner with stakeholders to define measurement strategies, key performance indicators (KPIs), and success metrics for digital products, experiences, campaigns, personalization efforts, and strategic initiatives.
• Deliver actionable insights and recommendations that support business objectives, constituent engagement, digital experience optimization, and fundraising outcomes.
• Facilitate data-informed decision-making through effective communication, analytics storytelling, data visualization, and executive-level presentations.
• Collaborate cross-functionally to identify opportunities for optimization across digital experiences, constituent journeys, content strategies, and audience engagement programs.
• Analyze constituent behavior within the context of audience segments, content consumption, creative exposure, experience interactions, and downstream organizational outcomes.
• Provide strategic decision support through analytics that connects audience, experience, exposure, behavior, and outcomes across the constituent lifecycle.
• Consult on analytics methodologies, visualization best practices, experimentation frameworks, attribution approaches, and performance measurement strategies.

Product & Journey Analytics

• Design and implement measurement frameworks for digital products, constituent experiences, audience-based initiatives, personalization programs, and strategic business initiatives.
• Analyze constituent behavior across websites, applications, campaigns, and digital touchpoints to uncover trends, opportunities, and actionable insights.
• Evaluate digital experiences through comprehensive journey analytics that connect audience exposure, engagement, behavior, conversion, and outcomes.
• Support acquisition, engagement, retention, account management, and fundraising journeys through data-informed recommendations.
• Identify friction points, drop-off patterns, and optimization opportunities throughout constituent and donor journeys.
• Develop analyses that extend beyond individual channel metrics to provide holistic experience measurement and business impact assessment.
• Establish meaningful measurement frameworks for next-best-action strategies, personalization initiatives, and audience experiences.

Audience, Personalization & Experience Measurement

• Evaluate audience performance and behavior across segments to identify opportunities for improved targeting, engagement, and constituent outcomes.
• Measure the effectiveness of personalization strategies, dynamic experiences, and audience-based experiences.
• Analyze content and creative performance within the broader context of audience engagement, constituent behavior, and fundraising results.
• Assess how content, messaging, creative assets, and digital experiences influence constituent journeys and outcomes.
• Develop insights that help stakeholders understand the relationship between audience characteristics, experience design, engagement behaviors, and organizational performance.
• Provide recommendations that improve experience relevance, constituent engagement, and overall digital effectiveness.

Experimentation & Incrementality Analytics

• 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 true impact of products, campaigns, personalization initiatives, and optimization efforts.
• Apply analytical methodologies 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 that improve user experiences and organizational performance.
• Promote a culture of continuous learning, testing, optimization, and evidence-based decision-making.

Attribution & Outcome Measurement

• Develop attribution and measurement approaches that connect digital engagement, audience exposure, constituent interactions, and business outcomes.
• Analyze how experiences, campaigns, channels, content, audience segments, and personalization efforts contribute to constituent engagement and fundraising performance.
• Evaluate constituent outcomes across journeys to identify drivers of conversion, retention, engagement, and mission impact.
• Build measurement frameworks that connect upstream digital behaviors to downstream organizational results.
• Deliver analyses that provide leaders with a clear understanding of which experiences and initiatives drive meaningful outcomes.

Data Visualization & Storytelling

• Design, develop, and maintain interactive dashboards, reports, scorecards, and visualizations that communicate complex information effectively.
• Utilize Tableau and other reporting platforms to provide intuitive, actionable, and accessible insights.
• Create executive-facing reporting that highlights key performance trends, audience behaviors, experimentation outcomes, risks, and opportunities.
• Transform complex datasets into compelling business narratives that support strategic decisions.
• Tailor visualizations and presentations for audiences ranging from operational teams to executive leadership.
• Champion best practices in data visualization and help cultivate analytics literacy across the organization.

Advanced Analytics & Insights Generation

• Perform complex quantitative and qualitative analyses across multiple 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 that support strategic priorities.
• Leverage advanced analytical techniques to identify opportunities, validate hypotheses, and support organizational decision-making.
• Generate insights that help leaders understand the relationships between audiences, experiences, content, engagement behaviors, and outcomes.

Data Governance & Measurement Quality

• 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 to implement corrective actions.
• Document analytical methodologies, assumptions, attribution models, and measurement approaches.
• Promote strong data governance practices that support trustworthy and repeatable decision-making.

Qualifications:

Required

• 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 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.

Preferred

• 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.

Location: This position is Memphis‑preferred, though we welcome strong candidates from other U.S. locations.

Benefits & Perks

• Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
• 401K Retirement Plan with 7% Employer Contribution
• Exceptional Paid Time Off
• Maternity / Paternity Leave
• Infertility Treatment Program
• Adoption Assistance
• Education Assistance
• Enterprise Learning and Development

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms:

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.