Senior Consultant - Data & Analytics

About the role

We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.

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 workstreams, 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
• Participate in internal knowledge sharing, mentoring, and career development activities

Requirements

• 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 workstreams, 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

Qualifications

• Preferably, 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
• 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

Skills

• SQL
• Python
• Cloud-based data platforms (Snowflake, Databricks, Redshift)
• BI tools (Power BI, Tableau, Sigma)
• AI-assisted development environments (Codex, Claude Code, Cursor)

Benefits

At Highspring, we believe in offering competitive compensation packages. Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs.

Pay

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

Schedule

Flexible schedule to accommodate project demands and client needs.