Data Analyst

Skills

Strong analytical and organization skills with respect to supply chain activities. Passion for big data and advanced analytics. Desire and tenacity to learn new skills and adapt to new challenges with an exceedingly fast learning curve. Extensive experience analyzing complex or disparate customer financial and operational data. Ability to interpret analysis results using a variety of techniques ranging from simple data aggregation via statistical analysis to complex data mining independently. Extremely proactive self-starter that anticipates next tasks before it is assigned. Ability and tenacity to develop creative solutions to complex problems and the ability to think way outside the box. Strategic and tactical thinker. Desire to not work at a big bureaucratic slow-moving company. Able to speak proficiently with both IT and business audiences as it relates to project deliverables. Ability to develop sustain and proactively manage value-added customer relationships. Capability to thrive in a fast-paced environment. Ability to solve complex business issues. Demonstrated ability to adapt quickly to changing customers and multi-task multiple projects. Proven initiative drive and focus on detail. General knowledge of mainframe system architecture (SAP Oracle). Ability to work effectively within and across teams.

Description

The Data Analyst has the primary responsibility of data collection, cleansing, modeling, and reporting of results. The qualified candidate will implement analytical approaches using advanced analytics techniques while working closely with stakeholders and teammates from non-technical disciplines. Use statistical theory through modeling, simulation, and large data analysis to deliver lasting measurable improvements to clients. This position will require experience with industry-leading BI platforms (Alteryx, Power BI, Tableau) to build and support the need for ongoing data-driven work to enhance the client’s systems and processes.
KEY ACCOUNTABILITIES

Timely completion of data mining, cleansing, and modeling of transactional and financial data from client databases
Create best-in-class/compelling visualization of data, dashboards, tools, and reports that supports the interpretation and merchandising of conclusions that drives key decisions for client management.
Evaluate existing templates and tools and participate in design, development, and testing to enhance functionality and capabilities.
Help develop procedural documentation for the strategic procurement, operations excellence, and logistics management operating systems.

EXPERIENCE/EDUCATION

Bachelor's or Master’s degree in business, accounting, finance, economics, or mathematics. MBA preferred.
3-5+ years of experience working in a senior analyst role within management consulting or industry experience with supply chain, procurement, logistics, or operations with emphasis on business intelligence
1-2 years of experience with diagnosing, prescribing, planning, executing, and presenting small to medium analytics and BI projects
MUST have experience in most the following areas: Spend Analytics, Inventory Optimization, Network Optimization Modelling, SKU Rationalization, Strategic Sourcing, Demand Forecasting, and Advanced Planning & Scheduling
Alteryx Software and workflow design

Web scraping/data extraction, database management, data mining, and market research, data blending and wrangling, and econometric modeling
Data mapping (data definitions and business rules, mapping requirements to source data, etc.) and data profiling.
Understanding of statistical analysis and applications (SAS, R).