Business Intelligence Analyst
Listed on 2026-06-21
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst -
Business
Data Analyst, Business Systems/ Tech Analyst
Overview
We need an ambitious, curious leader to become a Business Intelligence Analyst on the Automation and AI Team to help drive the biggest change in the company’s history.
Responsibilities- Access and leverage data from across the organization to develop automated, easy-to-understand reporting and analytics solutions
- Develop and maintain Power BI dashboards, scorecards, and operational reporting to provide visibility into business performance and transformation initiatives
- Perform ad hoc analyses to answer business questions, identify trends, uncover inefficiencies, and highlight operational risks and opportunities
- Assist in analyzing data to evaluate process effectiveness and performance across multiple operational dimensions
- Support automation and AI initiatives by quantifying opportunities, measuring impact, and tracking adoption and outcomes
- Build presentations, dashboards, and scorecards for leadership and internal executives based on analytical insights and operational metrics
- Actively participate in data transformation initiatives, including the development of automated and standardized data flows from source systems to reporting solutions
- Support the development, implementation, testing, documentation, and ongoing validation of reporting and data processes aligned to organizational KPIs and metrics
- Help develop analytical approaches leveraging statistical methods, scenario planning, and model development to optimize business outcomes
- Proactively identify opportunities to increase productivity, reduce costs, and improve internal processes through data-driven insights
- Collaborate closely with business, analytics, and technical teams to improve data accessibility, reporting quality, and operational transparency
- Provide analytical support for annual sales planning metrics as they relate to operational capacity, staffing, and resource planning
Analytical Thinking & Problem Solving
Ability to break down complex operational problems and uncover actionable insights through data.
Business Intelligence & Data VisualizationDevelop meaningful dashboards, scorecards, and reporting that drive operational awareness and decision‑making.
Curiosity & Continuous ImprovementNaturally questions assumptions and proactively identifies opportunities to improve productivity, reporting, and business performance.
Technical & Business TranslationEffectively translates business questions into analytical solutions and communicates findings clearly to both technical and non‑technical audiences.
Data Management & Reporting AccuracyEnsures data integrity, reporting consistency, and ongoing validation of operational metrics and KPIs.
Execution & AccountabilityDelivers accurate, high‑quality reporting and follows through on commitments in fast‑moving environments.
Collaboration & InfluenceBuilds strong partnerships across business and technical teams and influences decisions through insight and credibility.
QualificationsRequired Education/Experience
- Bachelor’s degree in business, finance, statistics, economics, applied mathematics, information systems, or a related technical field from an accredited university
- Minimum of 3 years of experience working in analytics, business intelligence, operations, planning, or a related analytical role
- Minimum of 2 years of experience developing dashboards and reporting solutions using Power BI or similar business intelligence tools
- Intermediate to advanced experience using Excel, including formulas, lookups, pivot tables, formatting, and data analysis techniques
- Experience analyzing and interpreting data from multiple systems and data sources to identify trends, patterns, and operational insights
- Experience using SQL, Python, R, or similar tools to analyze data and present insights
- Experience building automated reporting solutions, scorecards, and operational dashboards
- Experience supporting operational metrics, KPI development, staffing models, or performance measurement initiatives
- Data visualization, dashboarding, and querying expertise across large or complex datasets
- Exposure to automation, AI, or enterprise data transformation initiatives
- Diverse analytical…
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