Consultant – Data & Analytics

At a Minimum, You Will HaveBachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related fieldStrong proficiency in SQL and Python for data transformation, analysis, and pipeline developmentHands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologiesExperience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalentExperience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code qualityDemonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelinesStrong communication skills and comfort engaging with client stakeholders at varying levels of technical depthAbility to work independently while collaborating effectively within cross-functional teamsFlexibility for travel, as neededPreferably, You Will Have2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environmentExperience designing data architectures and analytics solutions in cloud-native environmentsFamiliarity with modern data engineering and analytics best practices, including version control and collaborative development workflowsExposure to Agile or other iterative delivery methodologiesExperience supporting enterprise data transformation initiatives across finance, operations, or other core business functionsA demonstrated interest in continuously learning new tools, platforms, and analytics techniquesDetermining 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. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.Base Compensation Range$76,194—$122,981 USDTransform 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 & AnalyticsOur 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 ImpactAs a Consultant, Data & Analytics, You WillDesign and build modern data warehouses and analytics-ready data modelsDevelop scalable, reliable data pipelines using cloud-based data platformsImplement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholdersPartner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessionsManage discrete project workstreams, balancing technical execution with client communication and delivery timelinesPresent findings, recommendations, and solution designs to both technical and non-technical audiencesLeverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering codeSupport broader data transformation initiatives, including system implementations, migrations, and modernization effortsActively participate in internal knowledge sharing, mentoring, and career development activities