Note: The job is a remote job and is open to candidates in USA. TD SYNNEX is seeking a Senior Data Analyst to turn complex cloud, financial, and operational data into actionable insights. The role partners with cloud operations, engineering, accounting, and sales leadership to analyze cloud spend, build forecasts and predictive models, develop dashboards, and recommend improvements that support optimization and strategic decision-making.
Responsibilities
- Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities
- Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance
- Partner with business and technical stakeholders to define KPIs, scorecards, and success metrics aligned to organizational goals
- Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness
- Evaluate reservation strategies, savings plans, licensing impacts, and commitment-based discounts across cloud platforms
- Support budgeting, chargeback, showback, and cost allocation initiatives with advanced analytical modeling
- Develop dashboards, reporting models, and self-service analytics tools that help teams make faster, better-informed decisions
- Investigate recurring operational issues and recommend opportunities for automation, remediation, and process improvement
- Measure the impact of FinOps and optimization initiatives to quantify business value
- Communicate findings clearly to both technical and non-technical audiences, including senior leadership
Skills
- • 3-5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field
- • Bachelor''s degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, Economics, Mathematics, or a related discipline
- • Experience working with large, complex datasets and translating analysis into practical business recommendations
- • Knowledge of AWS, Azure, and Google Cloud Platform cloud services, billing structures, and consumption models
- • Experience creating dashboards, KPIs, scorecards, forecasts, and predictive models for operational and executive stakeholders
- • Proficiency in Python, R, or other analytical programming languages
- • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools
- • Understanding of data modeling, governance, data quality, and business performance metrics
- • Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus
- • FinOps
- • Cloud Platform Certification (AWS, Azure, or Google Cloud Platform)
- • Data Analytics / Business Intelligence
- • AI or Machine Learning
Benefits
- Elective benefits tailored to your country to best accommodate your lifestyle.
- Formal programs on leadership and professional development, plus on-demand courses.
- Financial, physical, and mental well-being support through seminars, events, and the global Life Empowerment Assistance Program.
- Inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
- Onboarding program to network with other new co-workers within your first 30 days.
- Internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and environmental and social initiatives.
Company Overview