Data Strategist

The Data Strategist will serve as a strategic advisor, technical expert, and hands-on analytics
practitioner supporting clients and internal teams. This role bridges high-level data
strategy, technical execution, and client-facing communication, ensuring delivers
excellence in analytics, reporting, and data-driven decision-making.
This individual will play a key role in our Customer 360 initiatives and broader Analytics
Center of Excellence (ACoE), supporting areas such as Product, Marketing, Donor
Development, Operations, and Finance. The ideal candidate brings a unique blend of strategic
thinking, technical leadership, statistical rigor, and strong communication skills, enabling
clients to build confidence in plans, insights, and solutions.
We are seeking someone who thinks like a strategist, operates like a senior analyst or data
scientist, and communicates like a consultant.

Required:

• **Bachelor’s degree in Data Science, Analytics, Statistics, Computer Science, or a related field (or equivalent experience).**
• **5+ years in hands-on analytics roles spanning product, marketing, donor, finance, or operations analytics.**
• **Strong client-facing experience with the ability to distill complex information into clear insights.**
• **Advanced proficiency in:**
  • **SQL (complex queries, modeling, optimization).**
  • **Python (analysis, automation, modeling, scripting, ETL).**
  • **BI & visualization tools (Power BI, Tableau).**
  • **Product/UX analytics platforms (GA4, Amplitude, Mixpanel, etc.).**
• Demonstrated experience with:
  • **Statistical modeling & predictive analytics.**
  • **Machine learning for classification/regression.**
  • **A/B testing methodologies.**
  • **Forecasting and growth modeling.**
  • **Experience with large-scale datasets using Snowflake, BigQuery, or similar.**

Consulting & Leadership Skills:

• Proven ability to lead analytic workstreams and guide junior analysts.
• Strong communication, storytelling, and client relationship skills.
• Ability to convert ambiguous client requirements into structured analytical plans.
• Highly resourceful, self-sufficient, and proactive—able to operate end-to-end.

Attributes:

• Highly detail-oriented with a strong commitment to accuracy.
• Strategic thinker with a bias for actionable execution.
• Adaptable in fast-paced environments with shifting priorities.

Preferred:

• Experience with donor analytics, nonprofit models, or recurring giving programs.
• Prior consulting experience.
• Experience working with Customer 360 initiatives.

Key Responsibilities;

Strategic Data Leadership

• Serve as a strategic partner to internal and external stakeholders, translating business needs into analytical frameworks, reporting strategies, and data-driven recommendations.
• Lead technical execution across analytics workflows, guiding junior analysts and partnering closely with the Data Architect and Data Governance leads.
• Own the roadmap for analytical maturity, operational efficiency, and reporting excellence across client engagements.
• Educate clients on best practices, helping them become more self-sufficient with data literacy and interpretation.

Client Engagement & Communication

• Interface directly with clients to gather requirements, present insights, guide decisionmaking, and build trust in Servant’s technical solutions.
• Tell compelling stories using data—turning complex datasets into clear, actionable, and strategic recommendations.
• Ensure a seamless client experience across all reporting, analytics, and Customer 360 workstreams.
• Present insights, trends, and recommendations in a way that resonates with executives and non-technical stakeholders.

Advanced Analytics & Statistical Modeling

• Conduct statistical modeling including regression, forecasting, survival analysis, clustering, and predictive scoring.
• Build and evaluate machine learning models to predict likelihood to churn, convert, or donate.
• Design and analyze A/B tests and controlled experiments to support product, marketing, and operational decision-making.
• Perform cohort analysis, retention modeling, segmentation, and donor lifecycle analytics.

Product User & Experience Analytics:

• Analyze user behavior, feature adoption, funnel performance, and engagement trends to identify strategic opportunities.
• Conduct UI/UX analytics including clickstream, heatmaps, user flow mapping, and conversion optimization.
• Partner with Product and Design teams to provide insights that improve user experience and drive growth.

Cross-Functional Business Insights

• Support Marketing with campaign analysis, audience segmentation, conversion trends, and growth forecasting.
• Provide operational and financial insights using donor data, revenue models, cost efficiency metrics, and forecasting.
• Deliver donor development analytics including retention, lifetime value, and giving behaviors.

Technical Execution & Data Engineering

• Write advanced SQL to extract, model, and explore datasets from Snowflake, BigQuery, and other cloud data warehouses.
• Use Python for wrangling, statistical analysis, prototyping ETL workflows, automation, and modeling.
• Build scalable, automated analytics workflows that minimize reliance on Data Engineering.
• Ensure data accuracy, consistency, and validation within reporting pipelines.

Reporting, Dashboards & Visualizations

• Design intuitive dashboards in Power BI, Tableau, or custom BI tools to surface KPIs, trends, and insights.
• Create executive-level reports that support weekly, monthly, and quarterly business rhythms.
• Automate manual reporting processes for reliability and real-time visibility.
• Continuously evolve dashboards and reporting layers based on business needs and stakeholder feedback.

Data Quality, Governance & Integrity

• Partner with the Data Architect and Data Governance lead to ensure consistent data standards and clean data flows.
• Implement proactive data validation, discrepancy detection, and quality monitoring.
• Advocate for data consistency, documentation, and trusted sources of truth across the organization.