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Business Intelligence & Data Solutions Specialist

Job in Buffalo, Erie County, New York, 14266, USA
Listing for: Sonwil Distribution Center, Inc.
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 85000 - 105000 USD Yearly USD 85000.00 105000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Business Intelligence & Data Solutions Specialist

Regular Full Time Technical West Seneca, NY, US 1 Attachments

5 days ago Requisition

Salary Range: $85,000.00 To $ Annually

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 work spaces, 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…
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