Technical Implementation Consultant

HelioCampus•Bethesda, WI

1d•Remote

About The Position

HelioCampus is seeking a Technical Implementation Consultant to lead the discovery, configuration, and validation work that brings their analytics platforms to life. This role involves understanding how institutions operate and translating that into data model configuration decisions. The consultant will work across the full range of institutional analytics, including the student lifecycle (admissions, enrollment, retention, completions, student financials) and academic cost analytics. The successful candidate will combine higher education subject matter expertise with data comfort, the ability to trace data discrepancies, and the capacity to manage multiple client implementations simultaneously. Candidates may come from backgrounds in institutional research, effectiveness, budget and planning, enrollment analytics, implementation roles at higher education service companies, or functional offices like the registrar, admissions, financial aid, or student accounts.

Requirements

Bachelor's degree from an accredited institution of higher learning.
3+ years working with higher education institutional data, at an institution, at a company serving institutions, or in a consulting capacity.
Deep working knowledge of at least one functional area of higher education (e.g., enrollment management, student financials, financial aid, registrar, budget and planning, academic affairs).
Familiarity with the data structures behind at least one major Student Information System (Ellucian Banner, PeopleSoft Campus Solutions, Ellucian Colleague, or Workday Student).
Working knowledge of standardized institutional reporting such as IPEDS.
Foundational knowledge of SQL.
A working understanding of how institutional data moves between systems, including where it originates and how it is transformed.
Comfort working in Tableau, Power BI, or a comparable data visualization tool, and strong Excel skills for data manipulation and reconciliation.
Experience leading working sessions with stakeholders and turning what you hear into clear, actionable requirements.
Excellent communication skills, with the ability to communicate complex technical information to non-technical stakeholders.
Proven ability to manage multiple client projects with competing priorities and tight deadlines.
Strong problem-solving skills and the persistence to chase down numbers that do not reconcile.

Nice To Haves

Deeper SQL, including understanding complex joins and window functions.
Cloud data warehousing (Amazon Redshift, Snowflake, BigQuery).
Extract, Transform, Load (ETL) processes or data pipeline configuration.
Instructional cost studies, program viability analysis, or activity-based costing in higher education.
Conducting or supporting quality assurance or user acceptance testing of data sets.
Team collaboration and project management tools such as Confluence, Jira, Smartsheet, Trello.
Experience with similar SaaS products serving higher education.

Responsibilities

Lead discovery sessions with client functional offices (institutional research, registrar, admissions, student accounts, financial aid, budget, academic affairs, etc.) to understand institutional operations, including exceptions and local practices.
Own and document configuration decisions for client data models, including field and code mappings, cohort and population definitions, and calculation rules.
Resolve definitional questions (e.g., how an institution defines a degree-seeking student, first-generation student, or instructional faculty).
Work with clients to define configurations for source data transformation and parameterization, communicating these to data engineers.
Partner with stakeholders to align methodology with institutional budgeting and reporting practices.
Deploy and configure Tableau workbooks or Power BI reports to support implemented models.
Run validation cycles with client stakeholders, document feedback, and drive issues to resolution before go-live.
Investigate discrepancies raised during validation and trace them to a root cause.
Provide validation and investigation support to client-facing teams post-implementation.
Document client-specific business rules and configuration decisions for ongoing support teams.
Support implementation handoff documentation.
Provide implementation feedback and documentation for new products post-product launch.
Escalate common implementation hurdles to the product team for product enhancement and refinement.
Provide advice, subject matter expertise, and feedback on data definitions and functional client use cases to inform technical development.
Facilitate power user training sessions in partnership with the Data Analyst team during implementation go-live.
Travel to client/partner institution sites as needed (no more than 10%).