ValueCheck, a Fidelity National Financial company, is looking 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
- SQL development, including writing complex queries, functions, and stored procedures
- ETL processes and data integration workflows
- Data analysis and reporting using Power BI and/or Python-based visualization tools
- Relational databases and data modeling principles
- Cloud data environment (Azure or AWS preferred)
- Data science methodologies and large dataset processing
- Data governance, metadata management, or master data concepts
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
- Bachelor's degree in computer science, information systems, or related field, or the equivalent combination of education, training, and work experience.
- Ability to come onsite one day per week
- Ability to interpret data to make recommendations and inform strategic decisions
- Strong understanding of business needs and ability to work independently and collaborate closely with cross-functional teams
- 3+ years of experience
