Data Analyst

About the Company Grid Dynamics (NASDAQ : GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges. A key differentiator for Grid Dynamics is our 7+ years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. Follow us on LinkedIn.

Responsibilities

Analyze and validate data during the migration of user knowledge objects from Splunk to ClickHouse and Grafana. Collaborate with engineering teams to ensure data integrity and consistency post-migration. Create and maintain comprehensive reports and dashboards to monitor migration progress and outcomes. Identify discrepancies or data quality issues and work with technical teams to resolve them. Support automation efforts by providing data insights and requirements. Translate complex data findings into clear, actionable recommendations for stakeholders.

Qualifications

Proven experience as a Data Analyst, preferably with exposure to observability or monitoring data. Strong proficiency in SQL, especially with ClickHouse or similar columnar databases. Experience with data visualization tools such as Grafana or equivalent. Familiarity with Splunk data structures, dashboards, and reports is a plus. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a POD-based agile team environment. Good communication skills to present data insights effectively.

Required Skills

Experience with alerting systems like Bosun. Knowledge of data migration processes and automation tools. Basic scripting skills (Python, Bash) for data manipulation. Understanding of observability concepts and monitoring frameworks.