Sr. BI Analyst

FASTENER DISTRIBUTION HOLDINGS LLC.•Irving, TX

About The Position

The Sr. BI Analyst leads the scaling of reporting and analytics capabilities - in both volume and complexity - to deliver actionable insights that drive strategic business decision-making. This role combines deep technical expertise in data querying, visualization, and modeling with strong business acumen to transform complex datasets into high-impact dashboards, forecasts, and performance analyses. This role partners closely with business leaders, IT, and cross-functional teams to identify opportunities, optimize data processes, ensure scalability, and support organizational growth through reliable, timely, and sophisticated analytics solutions.

Requirements

Bachelor’s degree required; preferred fields include Business Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, or a related discipline. Master’s degree or relevant certifications a plus.
5+ years of progressive experience in business intelligence, data analysis, reporting, or analytics roles, with demonstrated success scaling BI solutions in a growing or complex environment.
Proven experience with BI tools and strong proficiency in SQL (advanced querying, optimization, and performance tuning)
Experience working with large datasets, data warehousing concepts, and ETL processes; familiarity with cloud platforms is highly desirable
Proficiency in Microsoft Office suite (especially advanced Excel) and collaboration tools
Strong business acumen - connecting analytics initiatives to measurable impacts on revenue, efficiency, cost reduction, and strategic outcomes
Outstanding communication and stakeholder management skills, with the ability to translate technical insights for non-technical audiences and influence decision-making
Analytical mindset with a passion for problem-solving, continuous improvement, and delivering high-quality, scalable solutions under tight deadlines
Excellent troubleshooting and optimization skills for data, reporting, and performance issues
Collaborative team player with strong organizational skills to manage multiple priorities and projects
Demonstrated ability to drive process improvements, automate workflows, and foster self-service analytics adoption
U.S. Citizen, U.S. Permanent Resident (Green Card holder) or asylee/refugee status as defined by 8 U.S.C. 1324b(a)(3) required.
ITAR Requirement
120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Responsibilities

Design, develop, and scale enterprise-level reporting and analytics solutions to handle increasing data volumes, diverse sources, and growing business complexity
Build and maintain advanced dashboards, KPIs, scorecards, and self-service reporting tools using leading BI platforms to enable real-time and predictive decision-making
Write complex SQL queries, stored procedures, and data models to extract, transform, and analyze large-scale datasets from multiple sources (data warehouses, ERP systems, cloud platforms)
Lead requirements gathering with stakeholders across departments to translate business needs into scalable analytics frameworks, including defining metrics, data governance standards, and visualization strategies
Identify trends, anomalies, and opportunities through advanced data analysis, forecasting, and scenario modeling to support strategic planning, operational efficiency, and revenue growth
Optimize existing reports and analytics processes for performance, automation, and scalability, reducing manual effort and enhancing data accuracy and accessibility
Collaborate with data engineering and IT teams to improve data pipelines, quality, and integration for reliable BI outputs
Present insights, findings, and recommendations to senior leadership and business stakeholders through clear storytelling, executive-level visualizations, and actionable narratives
Mentor junior analysts and contribute to team best practices in BI development, data visualization standards, and analytical methodologies
Monitor business performance metrics, proactively identify inefficiencies, and recommend data-driven improvements to enhance decision-making across the organization