Senior Consultant - Data & Analytics
Highspring
| Company | Highspring |
| Category | Data & Analytics |
| Location | McLean |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 15 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Transform Your Career
We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.
Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.
The Team – Data & Analytics
Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.
Your Impact
As a Senior Consultant, Data & Analytics, you will:
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
Actively participate in internal knowledge sharing, mentoring, and career development activities
At a Minimum, You Will Have:
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
Preferably, You Will Have:
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
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