ValueCheck is seeking a SQL Data Engineer & Analyst to support enterprise data initiatives by designing and maintaining SQL-based data infrastructure, building and optimizing database structures, and conducting complex data analysis to support decision-making across the organization.
Requirements
- Requires 3+ years of experience with SQL development, including writing complex queries, functions, and stored procedures
- Experience with ETL processes and data integration workflows
- Proficiency in data analysis and reporting using Power BI and/or Python-based visualization tools
- Ability to interpret data to make recommendations and inform strategic decisions
- Strong understanding of relational databases and data modeling principles
- Experience working in a cloud data environment (Azure or AWS preferred)
- Familiarity with data science methodologies and large dataset processing
Responsibilities
- Build and optimize ETL processes to extract, transform, and load data from various sources
- Analyze complex datasets to identify trends, anomalies, and actionable insights
- Present data findings to stakeholders in a clear, concise, and visual manner
- Maintain data integrity, security, and availability across platforms
- Use tools like Power BI and Python (e.g., Pandas, Matplotlib, Seaborn) for data visualization and exploration
- Contribute to data governance efforts by documenting processes and defining data standards
Other
- This is a hybrid position out of our Highlands Ranch, CO office. Ability to come onsite one day per week.
- Bachelor's degree in computer science, information systems, or related field, or the equivalent combination of education, training, and work experience.
- Prior experience working in financial services, insurance, or real estate domains
