Senior Data Analyst
We are seeking a Senior Data Analyst to join an impactful engineering initiative delivering high-value data solutions for a global leader in digital payments and financial technology. In this role, you will play a pivotal part within a dedicated Grid Dynamics squad (working alongside Senior Java Engineers and a Data Engineer) while collaborating closely with senior stakeholders and a nearshore engineering hub based in Belfast, Northern Ireland. As a Senior Lead on the team, you will drive advanced data analytics and AI-related initiatives, architecting scalable, enterprise-grade dashboards and transforming complex financial data into strategic business intelligence.
Essential functions
Architect, design, and deploy complex, interactive dashboards and enterprise visual reporting solutions using PowerBI and Tableau to address strategic business requirements.
Lead analytical initiatives within the squad, partnering with Java Engineers and Data Engineers to ensure seamless end-to-end data pipelines, data modeling, and performance optimization.
Drive AI-related analytics projects, integrating intelligent insights, predictive metrics, and automated workflows into client-facing and internal dashboards.
Translate ambiguous, multi-layered financial and payment domain problems into structured analytical frameworks, key performance indicators (KPIs), and executive-level recommendations.
Own the end-to-end dashboard lifecycle: from requirement gathering and data modeling/validation to deployment, stakeholder alignment, and continuous performance tuning.
Act as a key point of contact for Belfast-based product owners and business leaders, mentoring team members, enforcing best practices in data visualization, and ensuring rigorous data accuracy.
Qualifications
5+ years of commercial experience in Data Analytics, Business Intelligence, or Advanced Analytics, with a proven track record in a Senior or Lead capacity.
Expert-level proficiency in both PowerBI and Tableau, including advanced DAX, LOD expressions, complex data modeling, row-level security (RLS), and dashboard performance optimization.
Strong expertise in SQL for complex data extraction, aggregation, window functions, and data quality validation.
Demonstrated experience leading AI-driven or advanced analytics projects and bridging the gap between engineering teams and business stakeholders.
Proven leadership and stakeholder management skills, with the ability to navigate ambiguity, prioritize deliverables, and articulate complex data insights to non-technical audiences.
Excellent communication and collaboration skills in fluent English for daily engagement with Belfast-based leadership.
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Statistics, or a related quantitative field.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 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.Apply to the position
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All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.