Senior Business Intelligence Data Analyst

COMPENSATION

Comp Range: $81,450 – $108,600

ROLE SUMMARY

The Senior BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards by leveraging strong data analytics skills, Power BI expertise, and a clear understanding of Azure Data Lake environments. The role will also conduct piece-level data (PLD) analysis to create customer profiles, working closely with the sales team to understand requirements and deliver accurate, logically sound analytical solutions. In addition, this position will support the continuous improvement of existing reporting and analytical processes while contributing to broader data analytics projects as required.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Design, develop, and publish Power BI reports and templates that are visually intuitive and aligned with end-user needs and business requirements. Ensure all commercial Power BI reports are logically sound, mathematically accurate, and free of errors prior to deployment. Gather and understand business requirements from stakeholders and translate them into logical, accurate, and user-friendly Power BI reports and dashboards. Maintain and monitor all published Power BI reports to ensure minimal downtime and continued alignment between report logic and evolving business requirements. Conduct PLD analyses by working closely with the sales team to understand requirements, develop comprehensive solutions, and provide follow-up support to ensure findings are clearly understood. Ensure all PLD analytical solutions are logically and mathematically sound, free of errors, and meet the requirements of the requesting stakeholder. Proactively identify opportunities to make PLD analyses more comprehensive, insightful, and efficient over time. Model and optimize logistics processes to support product management using Power BI, Excel, Access, Python, and/or other statistical tools. Understand and become a subject matter expert on USPS requirements and postal regulations related to logistics questions, including product classification, zone pricing, dangerous goods, and other related topics. Support ad hoc requests from the sales and leadership teams by providing data-driven conclusions and recommendations to help drive product strategy. Leverage Azure Data Lake to extract, transform, and analyze large volumes of data to support reporting and analytical needs. Support additional data analytics projects across the commercial team as required. Work both independently and collaboratively within the team to deliver high-quality analytical outputs within agreed timelines. Perform other duties and special projects as assigned.

EDUCATION AND EXPERIENCE

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field is required. Master’s degree or MBA in Business, Operations, Business Logistics Engineering, or a related field is preferred. 5 years of related work experience in data analytics, product management, management consulting, or data science is required. 2–3 years of working knowledge of Microsoft Power BI is required, with a good understanding of Azure Data Lake and Databricks.

REQUIREMENTS AND SKILLS

Strong analytical, problem-solving, and quantitative analysis skills. Expert knowledge of Microsoft Power BI. Strong knowledge of databases, data analytics, and visualization tools, including Oracle SQL Developer, Python, Power BI, and Tableau. Proficiency in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, and analysis. Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development. Strong written and verbal communication skills, with the ability to explain analytical findings clearly to business stakeholders. Strong planning, project management, and organizational skills. Proficiency in Excel, PowerPoint, MS Access, and Visio. High attention to detail with a forward-thinking mindset. Ability to work individually or within a team in a fast-paced environment. Ability to lead cross-functional teams and indirectly manage more junior team members.

WHY THIS ROLE MATTERS

This role offers the opportunity to directly influence commercial decision-making through high-quality reporting, customer analytics, and actionable insights. The successful candidate will help transform complex commercial, logistics, and customer data into clear business recommendations while improving reporting processes and supporting product strategy. We are looking for someone who can combine technical capability, commercial curiosity, and strong communication skills to deliver high-impact analytical solutions in a fast-paced environment. If your experience aligns with the requirements above and you are ready to contribute to data-driven commercial strategy, we would be excited to hear from you. #J-18808-Ljbffr Ultimate.ai