About the role
- Analyze large and complex datasets to identify trends, patterns, anomalies, and business opportunities.
- Develop, optimize, and maintain advanced SQL queries and data workflows within Databricks.
- Perform data validation, reconciliation, profiling, and quality checks to ensure data accuracy and consistency.
- Monitor and support successful execution of production data workflows and resolve data-related issues.
- Build and maintain data quality dashboards and reporting to track data health and business metrics.
- Ensure adherence to data governance, quality, and integrity standards.
- Drive automation initiatives to reduce manual effort and improve operational efficiency.
- Collaborate with engineering, business, vendors, and other stakeholders to understand requirements and deliver data-driven solutions.
- Communicate workflow results, project status, data issues, and recommendations effectively to stakeholders.
- Perform ad-hoc data analysis and provide meaningful, actionable insights.
- Develop a strong understanding of business data, data attributes, relationships, and underlying data structures.
- Recommend improvements to data management, reporting, analytics, and quality processes.
- Bachelor’s degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering, or a related field.
- 4+ years of experience in Data Analytics, Data Analysis, Business Intelligence, or a similar role.
- Strong hands-on experience with Databricks and modern data platforms.
- Advanced proficiency in SQL for data extraction, transformation, validation, and analysis.
- Experience working with large-scale data warehouses, data lakes, and distributed data environments.
- Strong understanding of ETL/ELT processes, data quality, data validation, and reconciliation.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Ability to interpret complex datasets and translate findings into actionable business insights.
- Strong stakeholder management and communication skills.
- Ability to work independently and collaboratively in a fast-paced, data-driven environment.
- Hands-on experience with Python for data analysis and automation.
- Experience with AWS-based data solutions.
- Experience with data visualization and dashboarding tools.
- Knowledge of data governance, data lineage, and data quality frameworks.
- Experience working with enterprise-scale data products and analytics platforms.
- Work on large-scale Data & AI projects for global enterprises.
- Opportunity to work with modern technologies including Databricks, Snowflake, AWS, Azure, and AI/ML platforms.
- Collaborate with experienced data and technology professionals.
- Be part of a Great Place to Work® Certified™ organization focused on innovation and continuous learning.