Data Analyst - Procurement

HF Sinclair•Dallas, TX

4d•Hybrid

About The Position

Supports the procurement organization’s goals and objectives by leveraging advanced analytical techniques and tools to transform raw data into strategic insights that enhance decision-making and drive operational success. Manages complex datasets, develops sophisticated analytics solutions, and collaborates with cross-functional teams to identify opportunities, optimize processes, and implement impactful improvements. Ensures data accuracy and integrity while communicating findings effectively to diverse stakeholders, influencing organizational strategies and fostering data-driven innovation.

Requirements

A minimum of 0- 2 years related experience is required.
Strong analytical skills with the ability to collect, organize analyze and disseminate significant quantities of information with attention to detail and accuracy
Knowledge of the procurement / contracting business and ability to apply this knowledge in providing supporting analytics and reporting
Advanced reading and writing skills
Strong background and extensive knowledge of Excel (focus on Power Query/Power Pivot for data transformations)
Power BI, SAP tables and QuickViewer query builder, SAP scripting and Microsoft VBA to automate routine manual tasks
Familiarity with SQL
Proficiency in Microsoft Office Suite
Experience with requirements gathering and process documentation
Ability to analyze and reconcile data across multiple data sets and systems, interpret data into insights, and develop actionable recommendations
Experience with manual bulk data processing using reports/queries and uploads
Experience in data analysis methods and using a variety of tools to develop visualizations
Business process analysis and change management
Extracting data from tables, building queries in SAP
Preparing and using large data sets to create dashboards.
Strong communication skills to present data-driven insights to senior leadership.

Nice To Haves

Refinery experience and/or experience in procurement, accounting, and inventory management are preferred.

Responsibilities

Gather, organize, and manage complex datasets from various internal and external sources.
Ensure data accuracy, consistency, and integrity through rigorous audits, validation, and quality control measures.
Design and maintain advanced data models to support seamless data processing and automated reporting.
Conduct sophisticated analyses using statistical, predictive, and machine learning techniques to solve complex problems and drive business value.
Identify trends, correlations, and opportunities through deep-dive data exploration and advanced modeling.
Develop actionable recommendations to inform strategies and improve business outcomes.
Design and implement dynamic dashboards, reports, and visualizations to clearly communicate complex insights.
Tailor presentations to diverse audiences, ensuring both technical and non-technical stakeholders can understand and utilize insights effectively.
Provide proactive and timely responses to ad-hoc reporting needs.
Partner with cross-functional teams and leadership to understand their data needs and provide expert-level analytical support.
Act as a key liaison between business units and technical teams to ensure alignment on project goals, metrics, and deliverables.
Mentor and train team members on data tools, systems, and best practices to elevate organizational analytics capabilities.
Identify and lead initiatives to improve data collection, storage, and analysis.
Develop strategies to automate workflows, enhance efficiency, and support scalable growth.
Lead or contribute to cross-functional projects that leverage data to innovate and create new business opportunities.
Establish and uphold best practices for data governance, ensuring compliance with organizational policies and standards.
Oversee data cleansing, enrichment, and transformation processes to ensure high-quality, reliable datasets.
Advocate for and support policies that promote data integrity and effective data management.
Drive high-impact projects that align with organizational goals and deliver measurable outcomes.
Provide guidance based on data-driven insights to influence decision-making at the leadership level.
Foster a culture of continuous improvement and innovation.
Lead or contribute to special assignments or organizational initiatives as required.
Special assignments or tasks assigned to the employee by their supervisor, as determined from time to time in their sole and complete discretion.