Analytics & Data Science Associate

JOB TYPE: FULL TIME

We are looking for an Analytics & Data Science Associate who thrives on solving complex problems, driving organizational change, and building data products that deliver meaningful impact.

The ideal candidate is naturally curious—someone who enjoys exploring data, asking the right questions, and uncovering insights that drive business decisions. As part of our team, you will play a key role in transforming raw data into actionable insights, optimizing processes, and ensuring that our analytics solutions are accurate, scalable, and aligned with client needs.

In this role, you will work with Azure, Databricks, Python, SQL, Power BI, and other data platforms to develop high-quality analytics products that not only answer questions—but help define the questions that need to be asked.

Key Responsibilities:

Driving Change Through Data

  • Support data-driven initiatives that improve efficiency, optimize decision-making, and create measurable impact.

  • Identify opportunities to enhance analytics workflows, automate processes, and scale solutions.

  • Collaborate cross-functionally to embed data best practices into both client and internal operations.

Breaking Down and Solving Complex Data Problems

  • Approach business challenges with a structured problem-solving mindset, breaking down large data issues into manageable solutions.

  • Work with stakeholders to define key business questions and translate them into data-driven insights.

  • Ensure analytical findings are explainable, actionable, and aligned with business goals.

Building Data Products That Meet Client Needs

  • Design and deliver accurate, complete, and user-friendly data products.

  • Work closely with internal teams and clients to understand their data needs and develop impactful solutions.

  • Develop interactive dashboards and reports in Power BI to provide real-time insights.

ETL & Data Engineering

  • Build and optimize ETL pipelines using Databricks and Azure to streamline client data processing.

  • Write efficient SQL and Python scripts for data transformation and automation.

  • Ensure data integrity, accessibility, and scalability while improving system performance.

Advanced Analytics & Predictive Modeling

  • Use Python (Pandas, NumPy, Scikit-Learn, PySpark) for forecasting, optimization, and advanced analytics.

  • Apply statistical techniques to improve decision-making.

  • Leverage machine learning and predictive modeling to enhance data-driven insights.

Required Skills:

  • Strong ability to break down and solve complex problems using data-driven approaches.

  • Experience in building data products that meet client and business requirements.

  • Proficiency in SQL and Python for data manipulation, analysis, and automation.

  • Hands-on experience with Power BI (or similar visualization tools) for reporting and insights.

  • Strong stakeholder management and communication skills, with the ability to translate technical insights into business value.

  • Experience driving change through data initiatives.

  • A natural curiosity for uncovering insights, solving problems, and asking the right questions.

Preferred Skills (or Growth Opportunities in This Role):

  • Experience with Azure, Databricks, and cloud-based data processing.

  • Proven driving change through data initiatives.

  • Experience with ETL pipelines, data engineering workflows, and automation.

  • Familiarity with predictive modeling, A/B testing, and statistical methods.

  • Exposure to big data technologies (Spark, Delta Lake, Hadoop).

Why Join Us?

Impact – Be part of a team where your work drives real change, helping organizations make better, data-driven decisions.

  • A Culture of Excellence – Join an environment that prioritizes high-quality, user-friendly, and scalable data products. We don’t just build solutions; we build solutions that last—ensuring accuracy, usability, and long-term impact.

  • Growth – Gain hands-on experience working with industry-leading tools while applying advanced analytics in real-world scenarios.

  • Collaboration & Learning – Be part of a cross-functional team that values continuous learning, curiosity, and innovation—where best practices are not just encouraged but expected.

Work Environment:

Work hours are expected to be full-time and aligned with standard Eastern Time Zone business hours unless otherwise specified.

  • Office Location: Reston, VA (Hybrid, in office once weekly)

  • Department: Data Science & Analytics

Benefits:

  • 401(k)

  • Dental insurance

  • Health insurance

  • Paid time off

  • Vision insurance

Words We Live by

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    Integrity

    Our committed team is comprised of talented fundraisers who not only talk the talk, but also walk the walk.

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    Passion

    Our passion for your mission drives us forward — each of our team members is deeply committed to the causes we support.

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    Authentic

    We develop relationships through transparent and collaborative partnerships that last decades.

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    Insightful

    Everything we do starts with the ability to carve out meaningful analytics to drive tailored, actionable strategies that make your mission a success.

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    Quality

    We strive for excellence across every campaign, with an unmatched attention to detail — from concept to execution.

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    Kindness

    It is our internal moral compass and guides every relationship we have — both internally and externally.

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    Inclusion

    By bringing together diverse voices, we aim to build a stronger community while creating exemplary content that resonates across audiences.

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    Ethical

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