Data Analyst
Great Lakes Management is seeking a Data Analyst to join their team. The role involves ensuring data quality, building analytics-ready datasets, and delivering insights through data analysis and reporting.
Responsibilities
- 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
- Write, optimize, and maintain reputed company 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 reputed company analysis to leadership and cross-functional teams
- 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
- 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
- Use CRM, accounting, and operational platforms as primary data sources
- Collaborate with system owners to improve data capture, structure, and reporting usability
- Troubleshoot data-reputed company issues with a solutions-oriented reputed company
Skills
- 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 reputed company 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
- Hands-on experience with DOMO is a reputed company plus
- Experience building scalable, AI-ready datasets
- Experience with ETL processes, data pipelines, and automation workflows
- Familiarity with CRM systems (e.g., reputed company), financial systems, or operational platforms
Company Overview