Senior Data Analyst – Business Operations
About The Position
Hyve Solutions is seeking a highly analytical, strategic, and adaptable Senior Data Analyst to lead complex, cross-functional business operations initiatives. This role requires deep technical expertise combined with strong business acumen to translate ambiguous requirements into actionable insights, scalable reporting frameworks, and long-term automation strategies. This position partners closely with Business Operations, Finance, Accounting, Supply Chain, Sales, IT, and other functional teams as needed to lead advanced analyses (including audit-related work such as Woody audit), improve data integrity, and influence data-driven decision-making across the organization. The ideal candidate thrives in a dynamic environment where data sources, requirements, and priorities are continuously evolving and often require independent problem structuring. This role is critical to advancing Hyve’s transition from manual, reactive reporting toward automated, scalable, and AI-enabled decision support. The Senior Data Analyst will play a key role in shaping data strategy, improving data quality, identifying systemic inefficiencies, and enabling next-level reporting and intelligent, agent-based analytics capabilities across the organization.
Requirements
- Bachelor’s degree in Data Analytics, Business, Finance, Information Systems, or related field (or equivalent experience)
- 6+ years of experience in data analysis, business analysis, or a related role in a complex, cross-functional environment
- Advanced proficiency in Excel; strong experience working with large, complex datasets; SQL proficiency preferred.
- Experience with data table analysis.
- Proven ability to independently structure and solve ambiguous business problems across multiple domains
- Strong analytical and critical thinking skills with a high degree of ownership and accountability
- Demonstrated ability to influence cross-functional stakeholders and adapt to evolving business needs
- Strong communication skills with the ability to translate complex data into clear business insights
Nice To Haves
- Deep experience supporting Financial Operations, Accounting, Supply Chain, or operational analytics
- Experience with ERP systems, data warehouses, and complex data environments
- Experience with data visualization tools (e.g., Power BI, Tableau) and executive reporting
- Experience with Python, R, or similar tools for advanced analytics
- Experience supporting audit-related analysis and building repeatable audit frameworks
- Experience designing and implementing automated reporting solutions or data pipelines
- Exposure to AI/ML concepts or tools applied to business analytics and automation
- Experience in manufacturing, supply chain, or data center environments
Responsibilities
- Lead end-to-end analysis of complex, ambiguous business problems across Finance, Accounting, Supply Chain, Sales, Operations, and other business functions as needed
- Define analytical approaches, data requirements, and success criteria for cross-functional and enterprise-level initiatives
- Identify systemic data issues, control gaps, and operational inefficiencies, and drive actionable recommendations
- Design and implement scalable data models, reporting frameworks, and automated solutions to reduce manual analysis
- Validate and reconcile data across multiple systems, ensuring integrity and alignment with business and financial expectations
- Partner with IT and system engineering teams to improve data architecture, accessibility, and long-term scalability
- Proactively identify opportunities to support emerging business needs across departments, adapting analyses and reporting accordingly
- Identify opportunities to leverage automation, AI, and advanced analytics to enhance decision-making and operational efficiency
- Develop executive-level dashboards, insights, and narratives that inform strategic decisions
- Act as a subject matter expert bridging business processes and data systems across multiple functional areas
- Influence cross-functional stakeholders, challenge assumptions, and drive alignment on data-driven solutions
- Lead root cause analysis efforts and ensure resolution of data and process issues
- Contribute to enterprise data governance strategy, standards, and documentation to improve data reliability
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What This Job Offers
Job Type
Full-time
Career Level
Senior
