Data Strategist (Client-Facing, with Technical & Reporting Expertise)Servant • US
Data Strategist (Client-Facing, with Technical & Reporting Expertise)
Servant • US
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job_description.job_card.job_descriptionInterface directly with clients to gather requirements, present insights, guide decision-making, 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 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. 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. 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. 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. 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. 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. 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. 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. 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. Comfortable working remotely and available 10–2 EST for client communication. Experience with donor analytics, nonprofit models, or recurring giving programs. Prior consulting experience. Experience working with Customer 360 initiatives.
The Company
At Servant, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are dedicated to providing tailored strategies that align with our clients' values and missions, focusing on service, integrity, and excellence. Our team is passionate about driving impactful change by equipping our partners with the tools and technologies they need to thrive in a digital age.
The Position
The Data Strategist will serve as a strategic advisor, technical expert, and hands-on analytics practitioner supporting Servant’s clients and internal teams. This role bridges high-level data strategy, technical execution, and client-facing communication, ensuring Servant 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 Servant’s 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.
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
Advanced Analytics & Statistical Modeling
Product User & Experience Analytics
Cross-Functional Business Insights
Technical Execution & Data Engineering
Reporting, Dashboards & Visualizations
Data Quality, Governance & Integrity
Requirements
Qualifications
Required
Consulting & Leadership Skills
Attributes
Preferred
Servant is an equal opportunity employer and encourages individuals from all backgrounds to apply.
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Data Strategist • US
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