Senior Business Intelligence Analyst

Quantix SCS•Houston, TX
•Remote

About The Position

Quantix Supply Chain Solutions is seeking a Senior Business Intelligence Analyst to join its BI & Data team. The role primarily focuses on developing Power BI dashboards and reports, building robust data models, and translating complex data into insights that support decision-making across the company’s supply chain divisions. The analyst also supports data integration and enterprise data warehouse work within an assigned division scope in coordination with the EDW Architect. The position reports to the Manager, Data Analytics and works closely with Finance, division leadership, business users, and other members of the BI & Data team. It is a full-time remote position in a collaborative team environment, with minimal travel required (0–15%).

Requirements

  • Bachelor’s degree in Information Systems, Computer Science, Business, Data Analytics, Finance, or a related field, or demonstrated equivalent experience.
  • At least 5 years of experience in business intelligence, data analytics, or a related field.
  • At least 5 years of hands-on Microsoft Power BI experience, including data modeling, DAX, M, report and dashboard development, and row-level security.
  • At least 5 years of experience writing SQL in a complex relational database environment, including joins, aggregations, window functions, subqueries, and query optimization.
  • Strong proficiency with Microsoft Excel.
  • Ability to translate complex datasets into actionable insights for non-technical stakeholders.
  • Strong attention to detail and ability to manage multiple priorities and meet deadlines.
  • Motivated, proactive self-starter who works well independently and as part of a team.

Nice To Haves

  • Experience with Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure SQL, or Microsoft Fabric.
  • Understanding of data warehousing concepts, including star schema and dimensional modeling.
  • Experience in transportation, logistics, or supply chain industries.
  • Knowledge of other BI tools, such as Tableau or Qlik.
  • Relevant Power BI certifications.
  • MBA or advanced degree.

Responsibilities

  • Design, develop, and maintain Power BI dashboards and reports that provide operational and strategic insights.
  • Lead dashboard development for assigned divisions from requirements gathering through user acceptance testing and go-live.
  • Build and maintain Power BI data models, calculated measures, and DAX/M logic.
  • Optimize Power BI reports and data models for performance and scalability.
  • Configure and maintain Power BI row-level security to ensure appropriate data access.
  • Train and support business users in Power BI usage, report navigation, and best practices.
  • Perform ad hoc data mining and analysis in response to questions from division leadership.
  • Validate data to ensure report and dashboard accuracy and integrity.
  • Partner with Finance and division leadership to understand data requirements and translate them into technical solutions.
  • Build tables in the development environment to test and validate data in coordination with the EDW Architect before production promotion.
  • Define and document data definitions and business rules for the assigned division scope with Finance and division stakeholders.
  • Own and maintain documentation of business rules, field definitions, and reporting logic.
  • Participate in data quality validation and flag data integrity issues for resolution.
  • Coordinate with the EDW Architect on pipeline design and technical documentation.
  • Support AI-assisted analytics initiatives built on the Quantix EDW, including structured data preparation and integration of AI outputs into dashboards.
  • Identify opportunities to apply advanced analytics to improve division reporting and operational insight.
  • Stay current with emerging tools and techniques in Power BI, BI development, and AI-assisted analytics.
  • Gather stakeholder requirements and deliver customized analytics solutions.
  • Communicate findings, data limitations, and recommendations to technical and non-technical audiences.
  • Serve as a resource and technical guide to junior analysts on the BI & Data team.
  • Perform other duties as assigned.
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