Data Analytics Manager

DASI LLC•Doral, FL

1d•Onsite

About The Position

For nearly 30 years, DASI has been in the business of providing comprehensive aircraft inventory support for airlines, MROs, OEMs, and distributors. Headquartered in Miami, Florida, with service centers in London and Singapore, DASI is a truly global partner, serving customers’ parts and inventory needs in more than 140 countries. DASI is embracing the role of advanced analytics and data-driven decision-making to help optimize operations and enhance customer experience. The Data Analytics Manager will lead the development and execution of Business Intelligence strategies, ensuring actionable insights that drive business growth and operational efficiency. The Data Analytics Manager is responsible for translating complex business and operational data into actionable insights that support informed decision making across the organization. This role leads data strategy, reporting architecture, analytics roadmaps, and performance dashboards across enterprise platforms and data systems. The position ensures the availability of accurate, timely, and trusted data to support planning, performance measurement, and leadership reporting. It combines technical expertise with strong business acumen, project leadership, and cross functional collaboration to drive measurable business outcomes.

Requirements

Strong proficiency with Business Intelligence and data visualization tools (e.g., Tableau, Power BI, or similar platforms).
Expertise in relational databases, data modeling, and working with structured and unstructured data.
Experience developing analytical solutions, including dashboards, visualizations, and predictive analytics.
Ability to translate complex data concepts into clear, actionable insights for non‑technical stakeholders.
Strong project management, prioritization, and cross‑functional collaboration skills.
Demonstrated ability to operate effectively in a fast‑paced environment while managing multiple initiatives.
Working knowledge of data governance principles, data quality standards, and compliance considerations.
Bachelor’s degree in Data Science, Information Systems, or a related field.
5+ years of experience in Business Intelligence, Data Analytics, or related roles.
Experience leading or contributing to analytics, reporting, or data‑driven programs.
Hands‑on experience developing reports and dashboards within enterprise systems.
Experience with demand forecasting, pricing analytics, inventory optimization, or similar analytical model.

Nice To Haves

Master’s degree preferred.
Familiarity with machine learning concepts and advanced analytical techniques (preferred).
Background in aerospace, MRO, distribution, or other regulated supply chain environments (preferred).
Experience with ERP systems used in complex or regulated industries (e.g., Salesforce, AvSight, Quantum, Pentagon, AMOS, Trax) (preferred).
Project management certifications such as PMP or CBIP (preferred).

Responsibilities

Build, develop, and mentor a high performing analytics team, scaling capabilities in alignment with business needs.
Establish best practices for analytics development, documentation, version control, and report lifecycle management.
Promote a data driven culture by enabling self-service analytics and improving data literacy across the organization.
Design, build, and maintain dashboards, reports, and analytical solutions across Salesforce, SQL based systems, and BI platforms (e.g., Power BI, Tableau, Microsoft Fabric).
Deliver actionable insights related to business performance, customer behavior, supplier reliability, inventory health, and operational KPIs.
Support advanced analytics initiatives, including demand forecasting, pricing analysis, and identification of operational risks and trend.
Partner with Sales, Operations, Programs, Procurement, Finance, Quality, and IT to understand reporting and analytics needs and translate them into scalable data solutions.
Serve as a subject matter expert for data structures, reporting, and analytical use cases.
Lead data driven initiatives identified by the business such as customer segmentation, performance scorecards, and operational improvement programs.
Perform other duties as assigned.