Analytics & Data Science Senior Associate

JOB TYPE: FULL TIME

We are looking for an experienced Analytics & Data Science Senior Associate who excels at solving complex data challenges, driving organizational change, and developing scalable data solutions that generate business impact.

The ideal candidate is naturally curious—someone who enjoys exploring data, asking the right questions, and uncovering insights that drive business decisions. As a key member of our team, you will transform raw data into actionable insights, optimize analytics workflows, and ensure our data-driven solutions align with business objectives.

In this role, you will work with Azure, Databricks, Python, SQL, Power BI, and other platforms to develop high-quality analytics products that drive impact. Beyond answering questions, you will play a key role in defining the right questions to ask.

Key Responsibilities:

Driving Business Impact Through Data

  • Lead data-driven initiatives that improve decision-making and operational efficiency.

  • Identify gaps, inefficiencies, and opportunities within analytics workflows and develop scalable solutions.

  • Work cross-functionally with internal teams and external stakeholders to promote best practices in data usage and business intelligence.

Solving Complex Data Challenges

  • Address multi-layered business problems by leveraging advanced analytics, statistical modeling, and machine learning when applicable.

  • Partner with business leaders to define key performance metrics and build data solutions that drive measurable outcomes.

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

Developing Scalable Data Products

  • Design and deploy accurate, user-friendly data products tailored to business needs.

  • Develop automated reporting solutions and interactive dashboards using Power BI to provide real-time insights.

  • Work closely with stakeholders to translate business challenges into scalable data solutions.

ETL & Data Engineering

  • Architect and optimize ETL pipelines using Databricks and Azure (or other cloud-based platforms) to streamline client data processing.

  • Write efficient, production-grade SQL and Python scripts for data transformation and automation.

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

Advanced Analytics & Predictive Modeling

  • Use Python (Pandas, NumPy, Scikit-Learn, PySpark) for forecasting, optimization, and complex data analysis.

  • Apply statistical and machine learning techniques to enhance predictive accuracy and business insights.

  • Conduct statistical testing, segmentation analysis, and experimental design to inform decision-making.

Required Skills:

  • 3+ years of experience in data analytics, data science, or business intelligence roles.

  • Proven track record of driving business impact through data-driven initiatives.

  • Expertise in SQL and Python for data transformation, analysis, and automation.

  • Experience designing scalable data products, dashboards, and business intelligence solutions.

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

  • Strong communication skills—ability to translate complex data concepts into actionable insights for non-technical audiences.

  • Proficiency with Azure, Databricks, or other cloud-based data processing platforms.

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

  • Familiarity with big data technologies (Spark, Delta Lake, Hadoop) is a plus.

Why Join Us?

Impact – Lead transformational data initiatives that drive measurable value for important client missions.

  • A Culture of Excellence – Be part of a team that builds high-quality, user-friendly, and scalable data products.

  • Growth – Work with industry-leading tools and apply advanced analytics in real-world scenarios.

  • Collaboration & Learning – Join a cross-functional team where continuous learning, curiosity, and innovation are at the core of what we do.

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

Words We Live by

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    Passion

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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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