Data Analyst

Join our team at Great Lakes Management as our Data Analyst!

Data Quality, Modeling & AI Readiness

• Clean, standardize, and validate CRM, financial, and operational data to ensure accuracy and consistency

• Build and maintain analytics- and AI-ready datasets with well-defined schemas and business logic

• Identify and resolve data gaps, duplication, and inconsistencies across systems

• Establish and document data definitions and quality standards

Data Analysis & Reporting

• Write, optimize, and maintain complex SQL queries to transform raw data into analytics-ready datasets

• Design and maintain DOMO dashboards and reports using BI platforms & similar tools

• Translate business questions into KPIs, metrics, and analytical outputs

• Deliver recurring and ad-hoc analysis to leadership and cross-functional teams

Business Insights & Collaboration

• Partner with sales, marketing, finance, and operations to understand analytical needs and AI objectives

• Surface trends, risks, and opportunities through data-driven insights

• Communicate findings clearly to technical and non-technical stakeholders

Process Improvement & Automation

• Automate data cleansing, validation, and reporting workflows

• Reduce manual reporting through efficient SQL, ETL pipelines, and BI tooling

• Document datasets, transformations, and analytical logic to support scalability

Systems & Data Enablement

• Use CRM, accounting, and operational platforms as primary data sources

• Collaborate with system owners to improve data capture, structure, and reporting usability

• Troubleshoot data-related issues with a solutions-oriented mindset

Required

• In-person/hybrid work environment at the Great Lakes Corporate office

• Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Business, or a related field (or equivalent practical experience)

• Deep understanding of SQL, including joins, subqueries, window functions, and query optimization

• Proven ability to clean, model, and analyze CRM, financial, and operational data

• Strong ownership of data quality and attention to detail

• Ability to manage multiple priorities independently

• Excellent written and verbal communication skills

Preferred

• Hands-on experience with DOMO
  is a huge plus

• Experience building scalable, AI-ready datasets

• Experience with ETL processes, data pipelines, and automation workflows

• Familiarity with CRM systems (e.g., Hub Spot), financial systems, or operational platforms