Senior Consultant - Data & Analytics

Responsibilities

• Design and build modern data warehouses and analytics-ready data models.
• Develop scalable, reliable data pipelines using cloud-based data platforms.
• Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders.
• Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions.
• Manage discrete project work streams, balancing technical execution with client communication and delivery timelines.
• Present findings, recommendations, and solution designs to both technical and non-technical audiences.
• Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code.
• Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts.
• Actively participate in internal knowledge sharing, mentoring, and career development activities.

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field.
• 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment.
• Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development.
• Hands‑on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies.
• Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent.
• Experience working in AI‑assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality.
• Demonstrated ability to manage work streams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines.
• Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth.
• Ability to work independently while collaborating effectively within cross‑functional teams.
• Flexibility for travel, as needed.

• Experience designing data architectures and analytics solutions in cloud-native environments.
• Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows.
• Exposure to Agile or other iterative delivery methodologies.
• Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions.
• A demonstrated interest in continuously learning new tools, platforms, and analytics techniques.

Base Compensation Range: $76,194 USD – $122,981 USD