Business Intelligence & Data Solutions Specialist

Posted Yesterday
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West Seneca, NY, USA
In-Office
85K-105K Annually
Entry level
Logistics • Real Estate • Transportation • 3PL: Third Party Logistics
The Role
Develops and maintains Power BI, SQL Server, SSRS, and Excel reporting solutions. Transforms operational data into trusted datasets, models, dashboards, and analytical tools; manages Power BI resources; ensures data quality, governance, testing, security, and documentation; and partners with stakeholders to translate business needs into actionable insights. Coaches users on data-driven management and evaluates AI-enabled analytics and natural-language data access technologies.
Summary Generated by Built In

Job purpose

The Business Intelligence & Data Solutions Specialist is responsible for improving how the company organizes, presents, and uses data to manage operations, measure performance, and support decision-making.

This hands-on individual contributor role will develop and maintain reporting and analytical solutions using the company's Microsoft data environment, including SQL Server, Power BI, Reporting Services, and Excel. A key focus will be transforming transactional data from operational systems into well-structured, reliable, and reusable reporting datasets that provide users with consistent definitions and trusted information.

The position will work directly with users and leaders across the organization to understand business processes, translate requirements into effective analytical solutions, and coach users on how to use data to manage operations and people. The role will combine strong technical and analytical skills with business acumen and an ability to turn data into meaningful insights and actionable information.

The position will also explore emerging AI and data-access technologies that can make trusted company information easier for employees to access, understand, and use.

Duties and responsibilities

  • Develop, maintain, and improve reports, dashboards, scorecards, and analytical tools using Power BI, SQL Server Reporting Services (SSRS), Excel, and related Microsoft technologies.
  • Transform transactional data from company operational systems into structured datasets and data models designed for reporting, analytics, and reuse across the organization.
  • Design and maintain reporting tables, views, transformations, measures, calculations, and other data structures that provide consistent definitions and trusted business information.
  • Develop reporting solutions that support both organization-wide performance measurement and appropriate drill-down to individual operations, customers, locations, departments, or other business entities.
  • Work directly with stakeholders to understand business processes and translate operational and management requirements into effective data models, measures, reports, and dashboards.
  • Develop reporting that helps users identify trends, exceptions, opportunities, and areas requiring action rather than simply presenting data.
  • Administer Power BI reporting resources, including workspaces, applications, report distribution, data refreshes, usage, and appropriate security access.
  • Maintain the functionality, accuracy, relevance, and performance of existing reporting solutions and troubleshoot issues as they arise.
  • Establish and maintain consistent definitions for key business measures, dimensions, calculations, and performance indicators in alignment with company data governance practices.
  • Promote self-service analytics by providing users with understandable, documented, and trusted datasets that can be effectively used through Excel, Power BI, Reporting Services, and other approved tools.
  • Coach users and leaders on interpreting data, selecting appropriate measures, developing effective reports, and incorporating data into day-to-day management practices.
  • Develop appropriate testing and validation processes to ensure the accuracy and reliability of reports, datasets, measures, and analytical outputs.
  • Identify and resolve data quality and consistency issues in collaboration with application developers, business users, and other technical resources.
  • Develop and maintain documentation for reporting datasets, business rules, data definitions, reports, dashboards, and related analytical resources.
  • Evaluate AI-enabled analytics, natural-language data access, and other emerging technologies that may help employees more effectively access and use company information while maintaining appropriate data quality, security, and governance.
  • Continually identify opportunities to improve reporting capabilities and use data, analytics, and emerging technologies to drive operational and company-wide improvement.

Qualifications

  • Degree or technical training in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related discipline preferred; equivalent relevant experience will be considered.
  • Strong SQL skills and experience working with Microsoft SQL Server.
  • Experience developing reports, dashboards, data models, and analytical solutions using Power BI.
  • Experience with SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), OLAP, or related Microsoft reporting technologies is beneficial.
  • Strong working knowledge of Excel and its use as a business analysis and reporting tool.
  • Experience transforming transactional/OLTP data into structured datasets designed for reporting, analytics, and OLAP workloads.
  • Understanding of relational database design, data modeling, data warehousing, and business intelligence concepts.
  • Experience developing DAX measures, calculations, queries, and functions within Power BI.
  • Experience administering Power BI workspaces, applications, refreshes, distribution, usage, and security is beneficial.
  • Ability to understand business processes and translate business requirements into meaningful analytical solutions.
  • Strong analytical and problem-solving skills with the ability to convert data into meaningful insights and identify opportunities for improvement.
  • Strong communication and coaching skills with the ability to work effectively with users and leaders at all levels of the organization.
  • Ability to manage multiple priorities, work independently with limited supervision, and keep stakeholders informed of progress.
  • Experience with logistics, warehousing, transportation, distribution, or other operational environments is beneficial.
  • Familiarity with AI-enabled analytics, natural-language data access, or related emerging technologies is beneficial.
  • Strong attention to data quality, testing, validation, security, governance, and documentation.

Physical requirements

  • Ability to work for extended periods at a computer workstation using database, reporting, and analytical software.
  • Ability to communicate and collaborate effectively with employees across technical, operational, and management functions.
  • Ability to occasionally access warehouse and operational environments to observe business processes and better understand reporting and analytical requirements.
  • Ability to safely work in active warehouse and industrial environments while following applicable safety requirements.
  • Ability to travel occasionally to company facilities or project locations as required.

Direct reports

 No direct reports are expected.


Monday-Friday, 8:00am-4:30pm

Skills Required

  • Degree or technical training in Information Systems, Data Analytics, Computer Science, Business Analytics, or a related discipline; equivalent relevant experience considered.
  • Strong SQL skills and experience working with Microsoft SQL Server.
  • Experience developing reports, dashboards, data models, and analytical solutions using Power BI.
  • Experience with SQL Server Reporting Services, SQL Server Analysis Services, OLAP, or related Microsoft reporting technologies.
  • Strong working knowledge of Excel for business analysis and reporting.
  • Experience transforming transactional or OLTP data into structured datasets for reporting, analytics, and OLAP workloads.
  • Understanding of relational database design, data modeling, data warehousing, and business intelligence concepts.
  • Experience developing DAX measures, calculations, queries, and functions within Power BI.
  • Experience administering Power BI workspaces, applications, refreshes, distribution, usage, and security.
  • Ability to understand business processes and translate business requirements into meaningful analytical solutions.
  • Strong analytical and problem-solving skills, including converting data into meaningful insights and identifying improvement opportunities.
  • Strong communication and coaching skills with users and leaders at all organizational levels.
  • Ability to manage multiple priorities, work independently with limited supervision, and keep stakeholders informed.
  • Experience with logistics, warehousing, transportation, distribution, or other operational environments.
  • Familiarity with AI-enabled analytics, natural-language data access, or related emerging technologies.
  • Strong attention to data quality, testing, validation, security, governance, and documentation.
  • Ability to work for extended periods at a computer workstation using database, reporting, and analytical software.
  • Ability to communicate and collaborate effectively across technical, operational, and management functions.
  • Ability to occasionally access warehouse and operational environments and safely follow applicable safety requirements.
  • Ability to travel occasionally to company facilities or project locations.
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The Company
201 Employees
Year Founded: 1941

What We Do

Sonwil Distribution Center is a family-owned third-party logistics and supply-chain company serving regional, national, and international clients. It provides warehousing, storage, handling, distribution, transportation, fulfillment, e-commerce, product refurbishment, reverse logistics, and managed transportation, alongside real-estate and technology solutions. The company works with brands across the United States and Canada, combining logistics operations and technology to help customers optimize assets and improve business performance.

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