At Liaison, we’ve helped higher education institutions build better, more diverse classes for three decades. You may recognize us as the company behind the Centralized Application Service (CAS), Enrollment Marketing services and platform (EMP), SlideRoom, Time2Track, TargetX (CRM) and Othot.

Everything we do is focused on taking that proven success and expanding its scope and scale. Over 31,000 programs on more than 1,000 campuses see us as a forward-thinking partner integral to meeting their total enrollment goals — and we’re building the data- and mission-driven team that will reinforce our role for decades to come.

The Data Analyst will collaborate with the Data Product teams and stakeholders on data analysis and reporting, building, and maintaining analysis tools, monitoring and improving data quality.

Responsibilities:

Collect, profile, process, and analyze data from various systems, to provide valuable insights that support data-driven decision-making across the organization.
Collaborate with the Data Products teams and Business stakeholders to provide decision-support solutions, as well as build and enhance Liaison’s Data Products
Analyze data and reports to identify quality and process issues and make improvements.
Present data-driven analysis and insights to diverse technical and non-technical audiences and drive business and technology enhancements.
Needs to be available during US business hours

Qualifications:

Bachelor’s degree in CS, CIS, DS or equivalent (another technical field, certifications, experience)
4+ years of experience as a Data Analyst, Data Engineer or a similar data-centric role
Strong analytical and problem-solving skills with the ability to extract insights from large data sets using SQL and Python. Ability to work independently to reverse-engineer and represent complex business logic in SQL (or Python) scripts.
Skilled data detective, able to research and understand large unfamiliar complex data sets and uncover data quality issues, inconsistencies, and patterns.
Required experience:
- Collecting, cleaning, profiling, analyzing, visualizing data and presenting insights to diverse (technical and business) audiences. Understanding of AI-powered data ops.
- Building dashboards with Tableau or similar BI tools
- Working with relational databases like Postgres and SQL Server
- Cloud-based data management solutions (preferably Snowflake), AWS, data integration solutions and ETL pipelines
Understanding of and interest in statistical concepts and methods for data analysis
Detail-oriented, self-starter, has excellent communication and time-management skills, demonstrates critical thinking and growth mindset.

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Data Analyst

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