Data Analyst Principal

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst Principal based in United States.

This senior-level role sits at the intersection of advanced analytics, data strategy, and enterprise decision-making, supporting high-impact initiatives across complex organizational environments. You will lead the development of data-driven solutions that inform executive decisions and drive operational efficiency at scale. Working within a collaborative, fast-paced data organization, you will translate large and diverse datasets into meaningful insights, dashboards, and predictive models. The role combines technical depth in analytics and machine learning with strategic advisory responsibilities, enabling stakeholders to act on data with confidence. You will also mentor junior team members, helping elevate analytical capability across the organization. This position offers strong visibility, cross-functional engagement, and the opportunity to shape how data is used to solve mission-critical challenges.

• Lead end-to-end data analytics initiatives, delivering insights aligned with organizational objectives, timelines, and stakeholder needs.
• Collect, process, and analyze large structured and unstructured datasets to identify trends, patterns, and actionable insights.
• Design, build, and maintain advanced dashboards and reports using tools such as Tableau and Power BI for executive and operational audiences.
• Develop predictive models, machine learning solutions, and statistical analyses to support complex business and mission requirements.
• Collaborate with cross-functional teams to understand data needs and deliver scalable analytics solutions that improve decision-making and workflows.
• Mentor and guide junior analysts and data professionals, promoting best practices in data analysis and visualization.
• Communicate findings through clear, compelling presentations tailored to both technical and non-technical stakeholders.

Requirements:

• 8+ years of experience in data analytics, data science, or related fields, supporting enterprise-level or complex environments.
• Expert-level proficiency in SQL, data visualization tools (Tableau, Power BI), and Microsoft Office Suite.
• Strong programming experience in Python and/or R for data analysis, modeling, and automation.
• Solid understanding of statistical methods, including regression analysis, hypothesis testing, and probability distributions.
• Hands-on experience with machine learning techniques such as supervised/unsupervised learning, NLP, or ensemble methods.
• Familiarity with ML frameworks and tools such as scikit-learn, Keras, PyTorch, or Jupyter notebooks.
• Experience working in Agile environments and using tools such as Azure DevOps or similar platforms.
• Excellent communication, consulting, and presentation skills with the ability to influence executive-level stakeholders.
• Strong organizational skills with the ability to manage multiple competing priorities in a dynamic environment.

Benefits:

• Competitive salary range: $128,039 – $173,229, based on experience and location.
• Comprehensive healthcare coverage including medical, dental, and vision plans with HSA options.
• 401(k) retirement plan with company matching contributions.
• Generous paid time off, including vacation, sick leave, holidays, and parental leave.
• Flexible remote work arrangement supporting work-life balance.
• Life insurance, disability coverage, and additional voluntary benefits.
• Professional development opportunities and internal mobility programs.