Data Analyst (Product Analytics Focus with Cross-Functional Collaboration)

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 Analyst will play a key role in the Analytics Center of Excellence (ACoE), with a strong focus on product analytics while supporting all areas of the business, including Marketing, Operations, Finance, and Donor Development. This role requires a highly resourceful, self-sufficient, and proactive analyst—someone who is not only skilled in data analysis but also capable of building their own data pipelines, dashboards, and automation workflows without relying heavily on Data Engineers. The ideal candidate will be proficient in SQL, Python, and UI / UX analytics, with a passion for solving complex problems, developing innovative solutions, and creating impactful insights from raw data. This role bridges technical expertise with strategic business understanding, enabling data-driven decision-making across the organization.

As a key enabler of data-driven decision-making across the organization, you provide critical insights that shape product development, marketing strategies, donor engagement, financial performance, and operational efficiency. As part of the Analytics Center of Excellence, this role will not only uncover meaningful patterns in data but also empower departments to become self-sufficient in their analytics capabilities. The ideal candidate is a technical powerhouse, a creative problem solver, and a strategic partner who thrives on turning data into actionable insights that drive measurable business impact.

Key Responsibilities

• Product Analytics & Insights :
• Analyze user behavior, feature adoption, retention trends, and app engagement to identify opportunities for product improvement.
• Conduct cohort analyses, funnel tracking, and A / B test evaluations to measure the impact of product changes and experiments.
• Partner with Product Managers to translate business questions into analytical solutions, providing data-driven recommendations to influence product strategy.
• Cross-Functional Business Support :
• Collaborate with teams across Marketing, Finance, Operations, Donor Development, and other departments to understand their data needs and deliver actionable insights.
• Support marketing initiatives with campaign performance analysis, segmentation strategies, and conversion tracking.
• Provide financial analysis support related to donation trends, revenue forecasts, and operational efficiency metrics.
• Contribute to donor analytics by tracking engagement, retention, and giving patterns to optimize fundraising strategies.
• Data Exploration & Self-Sufficiency :
• Write complex SQL queries to extract, manipulate, and analyze large datasets from Snowflake, BigQuery, and other data sources.
• Use Python for data wrangling, statistical analysis, automation of repetitive tasks, and developing quick ETL pipelines as needed.
• Independently identify and implement solutions to data challenges, minimizing dependencies on Data Engineers.
• Dashboard Development & Reporting :
• Design and build interactive dashboards in Tableau, Power BI, or custom solutions to visualize key KPIs such as MAUs, donation trends, campaign performance, and operational metrics.
• Automate reporting processes to improve efficiency, reduce manual errors, and ensure consistent access to up-to-date data.
• Continuously improve dashboards based on user feedback and evolving business needs, ensuring insights are both accessible and impactful.
• UI / UX Analytics :
• Leverage product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) to analyze user interactions and behaviors within digital products.
• Conduct heatmap analyses, clickstream tracking, and user journey mapping to identify friction points and areas for optimization.
• Provide data-driven recommendations to Product and Design teams to enhance user experiences and improve conversion rates.
• Experimentation & Growth Metrics :
• Design, implement, and analyze A / B tests to evaluate new product features, marketing campaigns, and operational changes.
• Develop statistical models to forecast user growth, donor retention, and revenue trends based on historical data and predictive analytics.
• Recommend growth strategies backed by data-driven experimentation and robust analysis.
• Data Quality & Governance :
• Ensure data accuracy, consistency, and reliability across all reports and analyses by implementing data validation checks and monitoring data pipelines.
• Partner with the Data Architect and Data Governance Lead to uphold data standards and best practices across the organization.
• Proactively identify and resolve data discrepancies, ensuring high data integrity in all outputs.
• Continuous Learning & Innovation :
• Stay current on emerging trends in product analytics, data science, and business intelligence tools.
• Experiment with new technologies, programming languages, and analytical methods to continuously enhance data capabilities.
• Share knowledge and best practices with the broader ACoE team, contributing to a culture of continuous improvement and data literacy across the organization.

Requirements

Servant is an equal opportunity employer and encourage individuals from all backgrounds to apply.